+1. The starting point is the `backend`
+2. `backend` is called by the `frontend` service
+3. `ApacheJMeter` traffic from the load generator script
+4. You may also see browser traffic to the **frontend** from the `My web application`. If you don't that is OK. + + + + +### Databases + +As you plan your migration, Database observability is critical to a successful plan. Knowing the type of access, executed statements, and amount of data transferred during regular hours of operation allows for better migration planning and prioritization of the move groups. In some cases, you may decide to not migrate this database in favor of other services or databases that are less complex to migrate due to fewer dependencies. + +๐ ***How this helps*** + + When monitoring database activity, Dynatrace shows you which database statements are executed most often and which statements take up the most time. You can also see which services execute the database statements, what will be direct input to migration planning, and prioritization of the move groups. + + Dynatrace monitors all the popular databases like SQL Server, Oracle, and MongoDB. See Dynatrace documentation for more details on platform support. + + + +#### Tasks to complete this step +1. Navigate to the Database screen + - Lets get back to the `backend` service. One way is to go back to the `Services` left side Dynatrace menu and then pick the `backend` service for the `dt-orders-monolith` management zone. + - On the `backend` service page, click on the `[embedded]` database to open the database service page. +  + +2. Review the Database screen + - The sample application uses an In memory Java relational database. On this page you can explore the database process like + 1. What services call this database + 1. Database availability + 1. View individual SQL statements + 1. Custom metric analysis +  + + +### Technologies View + +By default, Dynatrace gives you FullStack horizontal (who talks to whom) and vertical (what runs on what) dependency visibility as part of Dynatrace Smartscape! All without a single line of code or configuration change โ just by installing the OneAgent + +Seeing which processes make up the monolith has been an eye-opener for many teams that have done this exercise. โOh โ we completely forgot about the dependency to this legacy process we introduced 5 years ago!โ โ thatโs a common thing you hear! + +As you plan your migration, knowing what technologies make up your eco-system is key so that you can decide whether to migrate, refactor or replace certain services. + +The workshop is somewhat limited, so here is an example from another environment. + + + +๐ How this helps + + This is another out the box feature that helps you understand what technologies are in your environment with a heat map presentation that shows to what degree they exist. + + +#### Tasks to complete this step +1. Review the Technologies view +- Click on the **Technology and processes** link on the left side menu within Dynatrace to view the technologies that OneAgent was able to automatically discover and instrument. +  +- Make sure your management zone filter is set to `All` so that you see everything +  +- In the filter box, type `tag`, choose `stage`, and the value of `production`. It should look like this: +  + + +### Planning Ahead + +You can always click into the `Hub` menu within Dynatrace to learn about the many technologies that Dynatrace supports. This list is in sync and constantly updated in conjunction with the Dynatrace website hub page + + +## Summary + + +By just installing the OneAgent, we have now gained a detailed topological view of sample application from the both the infrastructure and application tiers and we are now ready to tackle our adoption to the cloud armed with the answers we need. + +* **Right Priority** - We now understand the complexity and interdependency of services and components to the rest of the environment architecture +* **Right-Sizing the environment** - We now understanding which resources are required to move along with their required resource consumption patterns +* **Best Migration Strategy** - We now understand the current end-to-end transactions through architecture and can choose the best migration strategy (rehost, refactor, re-architect, rebuild) + +### Checklist + +In this section, you should have completed the following: + +โ Review Dynatrace OneAgent + +โ Review real-time data now available for the sample application + +โ Review how Dynatrace helps with modernization planning diff --git a/061-DynatraceOnAzure/Coach/Solution-02.md b/061-DynatraceOnAzure/Coach/Solution-02.md new file mode 100644 index 0000000000..973039eb55 --- /dev/null +++ b/061-DynatraceOnAzure/Coach/Solution-02.md @@ -0,0 +1,425 @@ +# Challenge 02 - Dynatrace Observability on AKS - Coach's Guide + +[< Previous Solution](./Solution-01.md) - **[Home](./README.md)** - [Next Solution >](./Solution-03.md) + +## Notes & Guidance +### Overview +Re-hosting (also referred to as lift and shift) is a common migration use case. Re-architecture and Re-platform are steps that break the traditional architectures and replace individual components with cloud services and microservices. + +We just learned how we can get great information on services, processes and user requests using Dynatrace and OneAgent. This helps us now decide what individual features or complete applications based on business benefits we need to migrate and modernize. The idea here is to focus on feature-based business benefit with functional migration. +### Objectives of this Lab + +๐ท Install the Dynatrace Operator and sample application + +๐ท Review how the sample application went from a simple architecture to multiple services + +๐ท Examine the transformed application using service flows and back traces + + +## Review - Modernize the Sample App + +As we saw earlier, the sample application is a three-tiered application --> frontend, backend, database. + +For our lab, another version of the application exists that breaks out each of these backend services into separate services. By putting these services into Docker images, we gain the ability to deploy the service into modern platforms like Azure Kubernetes and Cloud managed services such as the ones from Azure shown below. + + + +The picture below shows how the components of the sample application interact with Dynatrace. + + + +**#1 . Sample Application** +Sample app representing a "services" architecture of a frontend and multiple backend services implemented as Docker containers that we will review in this lab. + +**#2 . Kubernetes** +Azure Kubernetes Service (AKS) is hosting the application. The Kubernetes cluster had the Dynatrace OneAgent Operator installed. (see below for more details). Two AKS nodes make up the Kubernetes cluster. The Dynatrace OneAgent was preinstalled by the OneAgent operator and is sending data to your Dynatrace SaaS environment. (see below for more details) + +**#3 . Dynatrace Operator** +Dynatrace OneAgent is container-aware and comes with built-in support for out-of-the-box monitoring of Kubernetes. Dynatrace supports full-stack monitoring for Kubernetes, from the application down to the infrastructure layer. + +**#4 . Dynatrace** +Dynatrace tenant where monitoring data is collected and analyzed. + +**#5 . Full-Stack Dashboard** +Made possible by the Dynatrace OneAgent that will automatically instrument each running node & pod in AKS. + +**#6 . Kubernetes Dashboard** +The Kubernetes page provides an overview of all Kubernetes clusters showing monitoring data like the clustersโ sizing and utilization. + +## Deploy Kubernetes Dynatrace Operator + +One key Dynatrace advantage is ease of activation. OneAgent technology simplifies deployment across large enterprises and relieves engineers of the burden of instrumenting their applications by hand. As Kubernetes adoption continues to grow, it becomes more important than ever to simplify the activation of observability across workloads without sacrificing the deployment automation that Kubernetes provides. Observability should be as cloud-native as Kubernetes itself. + +In our workshop, we will install the Dynatrace Operator that streamlines lifecycle management. You can read more about it here in this Dynatrace Blog + +Organizations will often customize the Dynatrace Operator installation and you can read more about the options in the Dynatrace Doc but, we are going to use a single command that we can get from the Dynatrace interface to show how easy it is to get started. + + +### Tasks to complete this step +- Install Dynatrace Operator + 1. To navigate to Kubernetes page, follow these steps and refer to the picture below:
+ 1.1 Within Dynatrace, click on the `Deploy Dynatrace` menu
+ 1.2 Click on the `Start Installation` button
+ 1.3 Click on the `Kubernetes` button +  + + 1.4 On the `Monitor Kubernetes / Openshift` configuration page, enter `workshop` for the name field. This is not the cluster name, it will show up as the Kubernetes page name in Dynatrace
+ 1.5 Click the `Create tokens` button for both Operator and Data Ingest Token
+ 1.6 Select the `Skip SSL Certificate Check` to be ON + +  + + + + 1.7. First, copy and paste command below into your Azure Cloud Shell to orient you in correct directory for `dynakube.yaml` file. + + ``` + cd ~/azure-modernization-dt-orders-setup/gen + ``` + 1.8. Next, copy the commands from the `Monitor Kubernetes / Openshift` configuration page of Dynatrace UI or from below to continue with the Kubernetes Operator Install steps. + + ``` + kubectl create namespace dynatrace + kubectl apply -f https://github.com/Dynatrace/dynatrace-operator/releases/download/v0.7.2/kubernetes.yaml + kubectl -n dynatrace wait pod --for=condition=ready -l internal.dynatrace.com/app=webhook --timeout=300s + kubectl apply -f dynakube.yaml + ``` + + + + + 2. Once the commands above run successfully, then monitor the installation until all the pods are in `Running` state. + + ``` + kubectl -n dynatrace get pods + ``` + + 1. Rerun the command until the output looks like this: + + ``` + NAME READY STATUS RESTARTS AGE + dynatrace-operator-b54bf4694-t4k28 1/1 Running 0 2m45s + dynatrace-webhook-5679588856-zpr7k 1/1 Running 0 2m45s + dynatrace-workshop-cluster-activegate-0 1/1 Running 0 2m43s + dynatrace-workshop-cluster-oneagent-24njq 1/1 Running 0 2m45s + dynatrace-workshop-cluster-oneagent-86gh7 1/1 Running 0 3m59s + ``` + + +## Deploy sample application + +In this step we'll walk through deploying the sample app that is now "modernized" into a microservices based app to the Azure Kubernetes cluster. + +We'll use a shell script to deploy the sample application. Below you'll learn some details around what that shell script is doing and YAML file parameters that Dynatrace uses to define and configure your application in Kubernetes. + + **๐`Shell Script to deploy sample app to Kubernetes`** + +By now you understand the various automation files, lets go ahead and open up the `start-k8.sh` to review what the script did for you: + +This script automates a number of `kubectl` commands for the following: + +1. Create a namespace called `staging` where all these resources will reside +1. Grant the Kubernetes default service account a viewer role into the `staging` namespace +1. Create both the `deployment` and `service` Kubernetes objects for each of the sample + +- You can read more details on the Kubernetes installation in the Dynatrace Documentation + + + + +**๐ `Sample App YAML file for deploymenent`** +
To review what is configured for the sample application, go ahead and click on the link for YAML file: frontend.yml + +`Notice the labels and annotations:` + +``` +metadata: + labels: + app.kubernetes.io/name: frontend + app.kubernetes.io/version: "1" + app.kubernetes.io/component: frontend + app.kubernetes.io/part-of: dt-orders + app.kubernetes.io/managed-by: helm + app.kubernetes.io/created-by: dynatrace-demos + annotations: + owner: Team Frontend + chat-channel: dev-team-frontend +``` + +Notice the defined container and version. These containers are stored in Docker Hub . + +``` +spec: + containers: + - name: frontend + image: dtdemos/dt-orders-frontend:1 +``` + +Notice the `DT_CUSTOM_PROPS` environment variable: + +``` +env: + - name: DT_CUSTOM_PROP + value: "project=dt-orders service=frontend" +``` + +The `DT_CUSTOM_PROPS` is a special Dynatrace feature, that the OneAgent will automatically recognize and make Dynatrace tags for the process. You can read more details in the Dynatrace Documentation + + +**๐ `Kubernetes Role Binding`** + +In Kubernetes, every pod is associated with a service account which is used to authenticate the pod's requests to the Kubernetes API. If not otherwise specified the pod uses the default service account of its namespace. + +* Every namespace has its own set of service accounts and thus also its own namespace-scoped default service account. The labels of each pod for which the service account has view permissions will be imported into Dynatrace automatically. + +* In order for Dynatrace to read the Kubernetes properties and annotations, you need to grant the Kubernetes default service account a viewer role into the `staging` namespace to enable this. We only have one namespace, but you will need to repeat these steps for all service accounts and namespaces you want to enable for Dynatrace within your environments. + +For the workshop, we already updated the required file with the `staging` namespace. Next you will run the setup script that will apply it to your cluster. Go ahead and open this folder and look at the dynatrace-oneagent-metadata-viewer.yaml file. + + + +### Tasks to complete this step +- Deploy the Sample App to Kubernetes + 1. In the Azure Cloud Shell, run these commands: + ``` + cd ~/azure-modernization-dt-orders-setup/app-scripts + ./start-k8.sh + ``` + 2. The Kubernetes take a few minutes to come to a running, rerun this command until all the pods are in `Running` status. + ``` + kubectl -n staging get pods + ``` + + The output should look like this: + + ``` + NAME READY STATUS RESTARTS AGE + browser-traffic-5b9456875d-ks9vw 1/1 Running 0 30h + catalog-7dcf64cc99-hfrpg 1/1 Running 0 2d8h + customer-8464884799-vljdx 1/1 Running 0 2d8h + frontend-7c466b9d69-9ql2g 1/1 Running 0 2d8h + load-traffic-6886649ddf-76pqf 1/1 Running 0 2d8h + order-6d4cd477cb-9bvn4 1/1 Running 0 2d8h + ``` + +## Review Sample application on Kubernetes + +In this step we will review the Sample app that we modernized and deployed to Kubernetes. Refer to this picture for a more detailed description of our setup. + + + +**1 - Dynatrace Namespace** + +This Kubernetes Namespace contains the pods and services that make up the Dynatrace Operator. + +**2 - Kubernetes nodes** + +Kubernetes runs your workload by placing containers into Pods to run on [Nodes] Nodes . + +**3 - Dynatrace** + +Dynatrace tenant where monitoring data is collected and analyzed. + +**4 - Cloud shell** + +The shell is configured with the kubectl command line tool that lets you control Kubernetes clusters. + +**5 - Sample application namespace** + +This Kubernetes Namespace contains the sample application pods and services. + +**6 - Sample application** + +The frontend service is exposed as a public IP and is accessible in a browser. + +### Tasks to complete this step +1. Validate Sample App is accessible via browser + - To view the application, we need to get the IP address assigned to the Kubernetes service for the sample application. + 1. Go back to the window where you have Azure Cloud shell open + 2. From the Azure Cloud Shell SSH command prompt type this command + ``` + kubectl -n staging get svc + ``` + 3. From the output, copy the entire value from EXTERNAL-IP and +  + 4. Open a browser window. Type in IP address similar to this `http://11.22.33.11` for the example above. The output and application should look like the above browser window + +2. Explore the Sample App on Kubernetes + - Use the menu on on the home page to navigate around the application and notice the URL for key functionality. You will see these URLs later as we analyze the application. + + * Customer List = customer/list.html + * Customer Detail = customer/5.html + * Catalog List = catalog/list.html + * Catalog Search Form = catalog/searchForm.html + * Order List = order/list.html + * Order Form = order/form.html + + ๐ The application looks like this monolith, but notice how the home page shows the versions of the three running backend services. You will see these version updated automatically as we deploy new versions of the backend services. + + + + +## Review Kubernetes within Dynatrace + +In this step we will walk through the different Dynatrace dashboards that are available out of the box for monitoring Kubernetes. + +### Tasks to complete this step +1. Validate AKS ActiveGate visible in Dynatrace UI + 1.1. Go to the Dynatrace UI. + 1.2. From the Dynatrace Menu, click `Manage --> Deployment status` to review OneAgent Deployment status + 1.3. Within the `Deployment status` page, next click on the `ActiveGate` option to review the Active Gate.
+ + ๐ From Dynatrace menu on the left, go to Manage -> Deployment Status -> ActiveGates, you will notice there is a `dynatrace-workshop-cluster-activegate-0` connected to your Dynatrace environment now. This ActiveGate routes all the agent traffic from apps that are running on that AKS cluster.** + + +2. Review Kubernetes Dashboards are accessible from the left-side menu in Dynatrace choose `Kubernetes` and navigate to the Kubernetes cluster page as shown below:
+ ๐**Note:** Be sure that your management zone is NOT filtered!** + +  + + **1 - Kubernetes cluster** - A summary the Kubernetes cluster is shown at the top of the Kubernetes dashboard.
+ + **2 - Nodes** - The resources for the Cluster are summarized for the one-to-many hosts or Cluster nodes in this view. + Explore specific node in the Node Analysis section, pick the analyze nodes button. +  + + **3 - Namespaces** - Namespaces are ways to partition your cluster resources to run multiple workloads (for example `application A` and `application B` workloads) on same cluster + 1. This workload section shows workloads over time + 2. In the Cluster workload section, pick the view all workloads button. +  + - In the filter, pick namespace then staging +  + + **4 - Kubernetes workload** + - Pick the frontend to drill into. +  + - Review the workload overview page to look at various metrics related to the workload. + - Click on Kubernetes POD to look at POD utilization metrics. +  + + **5 - POD** - Review the POD overview page to look at various metrics related to the POD + - Click on Container next to look at container metrics +  + โ + + **6 - Containers** - Referring to the diagram above, expand the properties and tags section to view: + - Container information + - Kubernetes information + - In the info graphic, pick the service to open the services list + - In the service list, click on k8-frontend service +  + + - Next click on 2 Services Icon to review the services running inside the container + - Select the active front-end service. + + **7 - Service** - This view should now look familiar. In Lab 1, we looked at the service for the frontend and backend. Notice how the Kubernetes information is also available in the service properties. +  + + +## Analyze Service Backtrace on Kubernetes + +Now that we've modernized the application and installed it on Kubernetes, we still need to trace the application transactions from front to back. + +Dynatrace understands your applications transactions from end to end. This transactional insight is visualized several ways like the backtrace. + +The backtrace tree view represents the sequence of services that led to this service call, beginning with the page load or user action in the browser. + +Dynatrace also gives you insight into what Kubernetes cluster, node, workload, and namespace that service is running on. + +**๐ How this helps** + +The service flow and service backtrace give you a complete picture of inter-dependency to the rest of the environment architecture at host, processes, services, and application perspectives. + + +### Tasks to complete this step +1. Review Services View for `order` service + * Left Menu -> Applications & Microservices -> Services
+  + * Top Menu -> filter by ``` dt-orders-k8 management ``` zone. +  + * Pick the ``` order ``` service. +  + * On this service, we can quickly review the inbound and outbound dependencies. + * Referring to the picture, within the services infographic, click on the "services" square to get a list of the services that the order service calls. +  + +2. Review Backtrace View + * To see the backtrace page, just click on the Analyze Backtrace button. + * You should be on the service backtrace page where you will see information for this specific service. + * This will get more interesting in the next lab, but for the monolith backend, we can see that the backtrace is as follows: + 1. The starting point is the backend + 1. Backend service is called by the front-end + 1. Front-end is a where end user requests start and the user sessions get captured + 1. My web application is the default application that Dynatrace creates +  + +## Analyze Service flow on Kubernetes + +In this step we will walk through the Service Flow view within Dynatrace and see what's different now that its deployed on Kubernetes. + +### Tasks to complete this step +1. Review Services View for `Frontend` service + * Left Menu -> Applications & Microservices -> Services
+  + * Top Menu -> filter by ``` dt-orders-k8 management ``` zone. +  + * Pick the ``` frontend ``` service. +  + * Just click on the view service flow button to open this. +  + +2. Analyze Services view from Response time perspective + - You should now be on the Service flow page. + - Right away, we can see how this application is structured: + * Frontend calls order, customer, and catalog service + * Order service calls order and customer service + - Something you would never know from the application web UI! +  + + - Refer to the picture above: + 1. We are viewing the data from a Response time perspective. Shortly, we will review the Throughput perspective. + 2. Click on the boxes to expand the response time metrics. Most of the response time is spent in the order service and the least in the customer services. And as in the simple version of the application, a very small amount of the response time is spent in the databases. + +3. Analyze Services view from Throughput perspective +  + + - Refer to the picture above: + 1. Change to the Throughput perspective by clicking on the box + 2. Click on the boxes to expand the metrics to see the number of requests and average response times going to each service + + + +**๐ How this helps** + +Reviewing the architecture before and after changes is now as easy as a few clicks! + + + +## Summary + +While migrating to the cloud, you want to evaluate if your migration goes according to the plan, whether the services are still performing well or even better than before, and whether your new architecture is as efficient as the blueprint suggested. Dynatrace helps you validate all these steps automatically, which helps speed up the migration and validation process. + +Having the ability to understand service flows enables us to make smarter re-architecture and re-platforming decisions. With support for new technologies like Kubernetes, you have confidence to modernize with a platform that spans the old and the new. + +### Checklist + +In this section, you should have completed the following: + + โ Installed Dynatrace Operator on Azure Kubernetes cluster + + โ Review real-time data now available for the sample application on Kubernetes + + โ Review Kubernetes dashboards within Dynatrace + + โ Review how Dynatrace helps with modernization planning + + + diff --git a/061-DynatraceOnAzure/Coach/Solution-03.md b/061-DynatraceOnAzure/Coach/Solution-03.md new file mode 100644 index 0000000000..ddd2751639 --- /dev/null +++ b/061-DynatraceOnAzure/Coach/Solution-03.md @@ -0,0 +1,292 @@ +# Challenge 03 - Automated Root Cause Analysis with Davis - Coach's Guide + +[< Previous Solution](./Solution-02.md) - **[Home](./README.md)** - [Next Solution >](./Solution-04.md) + +### Overview +Often the monitoring tools organizations use simply donโt work in the complex ecosystem of microservices and for technologies like Kubernetes. + +Finding the root cause of problems is harder than ever before and the effort required goes beyond what is humanly possible when the application spans to the cloud providers and data centers and the explosion of interconnected services. There are more possibilities for failures and more hiding spots for problems to sneak into the environment when software driving more than just the application. + +In this lab, we will trigger a few problem and see how troubleshooting time is Significantly reduced by letting AI automatically detect problems and pinpoints the root cause, explaining business impact with no manual configurations. + +### Objectives of this Lab + +- Enable a problem in the application and walk through what [Dynatrace Davis](https://www.dynatrace.com/platform/artificial-intelligence/) found + +- Review how Dynatrace process events and Tags to provide additional context in root cause analysis + + +## Review Events & Tags in Dynatrace + +Before we get to the problems, let's review Dynatrace Information Events. + +Dynatrace information events enable continuous delivery tools, such as Azure DevOps, to provide additional details for Dynatrace. Here is an example of two informational events for deployment and performance testing being be sent to Dynatrace. + + + +There are several Dynatrace information event types: +* CUSTOM_ANNOTATION +* CUSTOM_CONFIGURATION +* CUSTOM_DEPLOYMENT +* CUSTOM_INFO +* MARKED_FOR_TERMINATION + +Below we can see both the CUSTOM_INFO (#1) and CUSTOM_DEPLOYMENT events (#2) for a service that was the root cause to a problem the Dynatrace AI engine, Davisยฎ, determined. + + + +Each event has a timestamp, event source, a few standardized fields (depending on the event type), and the option to add additional custom fields. See this table for details. Here are two example events. NOTE: the URL back to the pipeline making the change. + + + + +**๐ How this helps** + + + Having information events speeds up triage by adding context to whatโs happening with the application. Just imagine getting alerted about an issue and immediately seeing a load test or deployment took place, and in one click of the event, review the system, job, and team responsible! + +### Dynatrace tags + +When creating information events, you must target the entities to receive the event so that itโs only associated with the relevant component. That is where Dynatrace tags come in. + +In a nutshell, tags in Dynatrace are labels or markers used for organizing entities in large monitoring environments. Below shows a few tags for my catalog service: `stage:staging` and `service:catalog-service` + + + +### API call Example + +Here is an example of a typical events API call. You do not need to executed this as you will see this in action as part of the scripts in the next step + +``` +curl -X POST \ + https://mySampleEnv.live.dynatrace.com/api/v1/events \ + -H 'Authorization: Api-token abcdefjhij1234567890' \ + -H 'Content-Type: application/json' \ + -d '{ + "eventType": "CUSTOM_ANNOTATION", + "timeoutMinutes": 0, + "attachRules": { + + "tagRule": [ + { + "meTypes": [ + "CUSTOM_DEVICE" + ], + "tags": [ + { + "context": "CONTEXTLESS", + "key": "IG-test" + } + ] + } + ] + }, + "source": "OpsControl", + "annotationType": "defect", + "annotationDescription": "coffee machine is defective" +}' +``` +## Enable Backend service problem on Monolith + +In this step we are going to "simulate" a deployment of new version of the `backend` service. After the "deployment" the service will exhibit a high response time for all backend requests. + +### Tasks to complete this step +1. To enable the problem pattern, use the unix that is provided that will do the following + * Call the `backend/set-version` URL set the backend version + * Send a Dynatrace `CUSTOM_DEPLOYMENT` event indicating the change + * From the Azure shell, run these commands to set the version: + + ``` + cd ~/azure-modernization-dt-orders-setup/learner-scripts + ./set-version.sh backend 2 + ``` + + * Review the output to ensure the change was made successfully. I should look like this with numerical values at the end for `Response Data: storedEventIds`: + + ``` + @Azure:~/azure-modernization-dt-orders-setup/learner-scripts$ ./set-version.sh backend 2 + + Retrieving dt-orders-monolith Public IP + ================================================================= + Setting Service Version + SERVICE = backend + NEW_VERSION = 2 + SET_VERSION_URL = http://1.1.1.1/backend/setversion/2 + ================================================================= + Set backend to 2 was successful + ================================================================= + Sending Dynatrace Deployment event + DT_API_URL = https://xxx.live.dynatrace.com/api/v1/events + DEPLOYMENT_NAME = Set backend to version 2 + DEPLOYMENT_VERSION = 2 + DEPLOYMENT_PROJECT = dt-orders + CI_BACK_LINK = http://1.1.1.1 + ================================================================= + Push Event POST_DATA + { "eventType" : "CUSTOM_DEPLOYMENT", "source" : "Custom Unix Shell Script" , "deploymentName" : "Set backend to version 2", "deploymentVersion" : "2" , "deploymentProject" :"dt-orders" , "ciBackLink" : "http://1.1.1.1", "customProperties": { "Example Custom Property 1" : "Example Custom Value 1", "Example Custom Property 2" : "Example Custom Value 2", "Example Custom Property 3" : "Example Custom Value 3" }, "attachRules" : { "tagRule" : [ { "meTypes":["PROCESS_GROUP_INSTANCE"], "tags": [ { "context": "CONTEXTLESS", "key": "service", "value": "backend" }, { "context": "CONTEXTLESS", "key": "project", "value": "dt-orders" }, { "context": "CONTEXTLESS", "key": "stage", "value": "production" } ]} ]} } } + + Response Data + {"storedEventIds":[8663164135574257870,-5988376401319068441],"storedIds":["8663164135574257870_1628095127627","-5988376401319068441_1628095127627"],"storedCorrelationIds":[]} + + ``` + +2. Validate Sample App in Browser + - The output from previous task has link to the sample under `CI_BACK_LINK`. Click on the URL to get to the sample application if you don't have the sample app up already. You should see `version 2` for the customer app now too. + +  + +3. Review the Problem card in Dynatrace + * Go to Dynatrace menu -> Problems, and you will probably see two problems that eventually get mergedโฆ + 1. Impact summary - multiple service impact + 1. Root cause + 1. Click on the `Analyze Response Time Degradation` button to view the real issue with the request. +  + +4. Analyze problem - top findings + 1. Here you can see how Dynatrace automatically analyzes the problem and lets you know whether the problem is related to code, waiting, or other services and queues. + 1. Click in the `active wait time` line with the top findings to open the execution time breakdown detail. +  + +5. Analyze problem - execution time breakdown + - Dynatrace automatically shows the breakdown of the execution time. To see more, click the `View method hotspots` button. +  + +6. Analyze problem - hot spots + - Here the code call breakdown is shown and by expanding this tree, you can locate the method where the slow down is occurring. + + **๐ You will need to expand several stack frames to get to method causing the slow down.** + + +  + +7. Analyze problem impact + - From the breadcrumb menu, click on the `backend` to open the service page. +  + + - Then click on the response time box in the Dynamic web requests section to open the service details page. You can see exactly when the problem started. +  + +8. Disable the problem pattern + * From the Azure shell run these commands to set the version back to version 1 + + ``` + cd ~/azure-modernization-dt-orders-setup/learner-scripts + ./set-version.sh backend 1 + ``` + + * Ensure there are numerical values at the end for `Response Data: storedEventIds` like: + + ``` + Response Data + {"storedEventIds":[8663164135574257870,-5988376401319068441],"storedIds":["8663164135574257870_1628095127627","-5988376401319068441_1628095127627"],"storedCorrelationIds":[]} + ``` + + * By ensuring there are numerical values t the end, it validates the command ran successfully. + + +**๐ Why does the problem card say 'Custom Threshold'?** +
The Dynatrace AI engine is evaluating metrics and dependencies for daily and weekly traffic patterns. Since we just setup our sample application, there is not a lot of history to review. We setup a fixed threshold as a global service setting. + + * To review this setting, on the left side menu, click `settings`, click `Anomaly Detection` and the the `Services` setting. + +  + + * To learn more about how Davis AI problems are detected and analyze, click the Dynatrace docs to learn more + + + +## Enable Order Service problem on AKS + + +In this step we are going to "simulate" another deployment of new version of the `order` service running on Kubernetes. After the "deployment" the service will exhibit a failures for all requests. + +### Tasks to complete this step +1. Enable the problem pattern use the automated unix script that is provided which will do the following: + * Call the `order/set-version` URL to set the order-service version + * Send a Dynatrace `CUSTOM_DEPLOYMENT` event indicating the change + * From the Azure shell run these commands to set the version: + + ``` + cd ~/azure-modernization-dt-orders-setup/learner-scripts + ./set-version.sh k8-order 3 + ``` + + Ensure there are numerical values at the end for `Response Data: storedEventIds` like: + + ``` + Response Data + {"storedEventIds":[8663164135574257870,-5988376401319068441],"storedIds":["8663164135574257870_1628095127627","-5988376401319068441_1628095127627"],"storedCorrelationIds":[]} + ``` + +2. Validate the Change in Dynatrace + * From the left side menu, navigate to the `Releases` page. Here you will see how Dynatrace detected the versions of monitored processes. It may take a minute, but you will see the version change in the `Real-time inventory` section and a new event in the `Release events` section. + + +  + + * If you expand the event, you should see something like this + +  + +3. Validate Sample App in Browser + * The event above has the URL back to the sample application, so just click that if you don't have the sample app up already. You should see `version 3` for the order app now too. + +  + +4. Review the Problem in Dynatrace + * The problem may take a minute to show up, but this is what the problem will look like once it does. Also, you may see two problems that eventually get merged into one as Dynatrace is performing the problem analysis. + 1. Problem card windows and impact summary + 1. Root cause + 1. Deployment event as additional context + +  + +5. Analyze problem + - Referring to #4 in the picture above, click on the `Analyze failure rate degradation` button. + - Right away we can see that there were exceptions in the code and the `details` button can be clicked to see the code stack trace. + +  + +6. Analyze problem impact + - From the breadcrumb menu, click on the `order` to open the service page. + +  + + - On this page, notice the failure rate. + +  + + - Then click on the failure rate box to open the service details page. You can see exactly when the problem started. + +  + +7. Disable the Problem Pattern + * From the Azure shell run these commands to set the version back to version 1 + + ``` + cd ~/azure-modernization-dt-orders-setup/learner-scripts + ./set-version.sh k8-order 1 + ``` + + * Ensure there are numerical values at the end for `Response Data: storedEventIds` are like: + + ``` + Response Data + {"storedEventIds":[8663164135574257870,-5988376401319068441],"storedIds":["8663164135574257870_1628095127627","-5988376401319068441_1628095127627"],"storedCorrelationIds":[]} + ``` + + * Dynatrace will automatically close the problem once it detects things are back to normal. + + + + +## Summary + +In this section, you should have completed the following: + + โ Enabled a problem in the application and walk through what Dynatrace Davis found + + โ Reviewed the details of the Dynatrace Problem card. + + โ Learn how Dynatrace use Events and Tags to provide additional context. + diff --git a/061-DynatraceOnAzure/Coach/Solution-04.md b/061-DynatraceOnAzure/Coach/Solution-04.md new file mode 100644 index 0000000000..a213621244 --- /dev/null +++ b/061-DynatraceOnAzure/Coach/Solution-04.md @@ -0,0 +1,293 @@ +# Challenge 04 - Azure Monitor Metrics & Custom Dashboard - Coach's Guide + +[< Previous Solution](./Solution-03.md) - **[Home](./README.md)** - [Next Solution >](./Solution-05.md) + +## Notes & Guidance + +## Objectives of this Lab + + +In order to do more with less and scale, organizations must transcend IT silos, foster collaboration and improve productivity. Automation and a common data model are key components of this, but it takes platforms that support operational teams and workflows. + +- Review how Dynatrace integrates with [Azure monitor](https://azure.microsoft.com/en-us/services/monitor/) + +- Review how Azure monitor metrics can be configured as [Metric events for alerts](https://www.dynatrace.com/support/help/how-to-use-dynatrace/problem-detection-and-analysis/problem-detection/metric-events-for-alerting/) + +- Examine Dynatrace Service Level Objectives (SLOs) + +- Create a custom dashboard with SLOs + + +## Review - Azure Monitor Setup + + +Referring to the picture below, here are the components for this lab. + + + +**#1 . Azure**: Azure cloud platform where Azure services produce metrics that are sent to Azure monitor. + +**#2 . Azure VM running ActiveGate**: A Dynatrace ActiveGate process required to monitor Azure monitor data. + +**#3 . Dynatrace**: Dynatrace tenant where monitoring data is collected and analyzed. + +**#4 . Dynatrace Azure Dashboard**: Out of the box dashboard for each configured Azure subscription. + +### Azure Dashboard + +In addition to monitoring your Azure workloads using OneAgent, Dynatrace provides integration with Azure Monitor which adds infrastructure monitoring to gain insight even into serverless application scenarios. + +The integration uses Azure Monitor metrics for service insights, as well as Azure Resource Manager (ARM) to gather metadata. + + + +### Review your environment + +1. From the left side menu in Dynatrace, click the `Azure` menu item. +1. Scroll down, and in the `Environment dynamics` action click on the `eastus` region to open the virtual machine regional page + +### Virtual machine regional page + +Notice the following details: +1. A summary of type and status is shown +1. A running average for virtual machines +1. A table of host with Azure monitor metrics summarized. Notice that both VMs with and without an OneAgent are both shown + + + +### Virtual machine details + +Click on the `dt-orders-active-gate` host to open the host page. + +Notice the following details: +1. Expand the properties to see more details +1. All the Azure monitor metrics are viewable as time-series data + + + +๐ป๐ See the [Dynatrace Docs](https://www.dynatrace.com/support/help/technology-support/cloud-platforms/microsoft-azure-services/set-up-integration-with-azure-monitor/) for more details on the setup. + +**๐ How this helps** + + Dynatrace brings value by enriching the data from Azure Monitor/App Insights and extending observability into the platform with additional metrics for cloud infrastructure, load balancers, API Management Services, and more.โ + + These metrics are managed by Dynatrace's AI engine automatically and this extended observability improves operations, reduces MTTR and increases innovation. + + +## Custom Alerting Setup + + +Dynatrace Davis automatically analyzes abnormal situations within your IT infrastructure and attempts to identify any relevant impact and root cause. Davis relies on a wide spectrum of information sources, such as a transactional view of your services and applications, as well as on events raised on individual nodes within your Smartscape topology. + +There are two main sources for single events in Dynatrace: + +* Metric-based events (events that are triggered by a series of measurements) and +events that are independent of any metric (for example, process crashes, deployment changes, and VM motion events) +* Custom metric events are configured in the global settings of your environment and are visible to all Dynatrace users in your environment. + +### Tasks to complete this step +1. Setup Custom Events for Alerting + * To add custom alerts, navigate to `Settings --> Anomaly Detection --> Custom Events for Alerting` menu. + * Click the `Create custom event for alerting` button. +  + * In the `Category` dropdown list, select `Cloud Platform` and in the `Metric` dropdown list, type `Percentage CPU` and pick the `Cloud platforms > Azure > Virtual Machine > cpuUsage` option and Pick `Average` +  + + + + * Click `Add rule-base` button and update as shown below +  + + * Choose `Static threshold` and update as shown below +  + + * Add the `Event Description` to have the `title` and `severity = CUSTOM ALERT` as shown below. +  + + โน๏ธ Notice the `Alert preview` chart that helps you in reviewing these settings + +  + + * Save your changes + + * Add another rule, with everything the same, except for the `Event Description` to have the `title` and `severity = RESOURCE` as shown below. +  + + * Save your changes and the list should look as shown below. +  + +2. Trigger a CPU Problem + * To enable a problem, you will go into the Azure Portal UI and use the `Run Command` feature to start a shell script. + * From the Azure Portal, search for `dt-orders-monlith` VM from the search menu and select it. +  + + * Once inside the VM resource page, click on `Run Command` under Operations from the left menu +  + + * Next, click on `RunShellScript` and type in the command listed below in the `Run Command Script` window and click run + + ``` + /home/workshop/azure-modernization-dt-orders-setup/learner-scripts/run-cpu-prb.sh + ``` +  + + * In the output window you should receive the following: + +  + + +3. Review Dynatrace UI for Problem card + * Back in Dynatrace within the `host` view, the CPU should now be high as shown below + +  + + * It may take a minute or so, but you will get two problem cards as shown below. #1 is the alert from the `severity = RESOURCE` where Davis was invoked, and #2 is the alert from `severity = CUSTOM ALERT`. + +  + + ๐ป๐ Look at the Dynatrace Docs for more details on the setup. + + Alert configuration is available through the Anomaly detectionโmetric events API Using the API, you can list, update, create, and delete configurations. + + + + * Review Problem Notifications Settings + - Navigate to `Settings --> Integrations --> Problem Notifications` + - Read the overview and then click the `Add Notification` button + - Click various `Notification types` from the drop down to review the configurations inputs. + - For the `Custom integration` type, review the option to customize the payload. + - Notice how you can choose the `Alert profile`, but you only have default as an option currently + + * Review Alerting Profiles + - Navigate to `Settings --> Alerting --> Alerting profiles` + - Read the overview and then expand the `default` rule. + - Now add one, by clicking on the `Add alerting profile` button + - Review the options to choose severity rules and filters + +4. Stop the CPU problem + * To stop the problem, we will use the same `Run Command` feature in Azure Portal to execute stop shell script. + * From the Azure Portal, search for `dt-orders-monlith` VM from the search menu and select it. +  + + * Once inside the VM resource page, click on `Run Command` under Operations from the left menu + + * Next, click on `RunShellScript` and type in the following command listed below in the `Run Command Script` window and click run + + ``` + /home/workshop/azure-modernization-dt-orders-setup/learner-scripts/stop-cpu-prb.sh + ``` +  + + * In the output window you should receive the following: + +  + + * Verify that CPU in Dynatrace goes to normal and the problem card will automatically close + + + + +## SLOs Setup Review + + +Dynatrace provides all the necessary real-time information that your Site-Reliability Engineering (SRE) teams need to monitor their defined objectives. + +An SRE team is responsible for finding good service-level indicators (SLIs) for a given service in order to closely monitor the reliable delivery of that service. SLIs can differ from one service to another, as not all services are equally critical in terms of time and error constraints. + +Dynatrace offers more than 2000 different metrics that are ready for use as dedicated SLIs. + +Each Service Level Objective (SLO) definition can be evaluated by following two result metrics: + +* **SLO status:** The current evaluation result of the SLO, expressed as a percentage. The semantics of this percentage (for example, 99.3% of all service requests are successful, or 99.99% of all website users are โsatisfiedโ in terms of Apdex rating) and the target defined for this percentage are up to the SRE team. + +* **SLO error budget:** The remaining buffer until the defined SLO target is considered as failed. For example, if an SLO defines a 95% target and its current SLO status is evaluated as 98%, the remaining error budget is the difference between the SLO status and the SLO target. +Two SLOs were created for you, so review those. + +Here is an example custom dashboard with SLO dashboard tiles. + + + + +### Tasks to complete this step +1. Review SLOs are deployed + + * From the left menu in Dynatrace, click the `Service Level Objective` option to review the two SLOs that are already setup. Edit one of them to review the configuration. + +  + + **๐ How this helps** + + You can review the current health status, error budgets, targets and warnings, along with the timeframe of all your SLOs on the SLOs overview page. + + Davis provides quick notifications on anomalies detected, along with actionable root causes. If your SLO has turned red, this is most likely because Davis has already raised a problem for the underlying metrics, showing you the root cause. + + See the Dynatrace Docs for more details on SLOs + + +## Create SLO Dashboard + + +In this step we'll create a very basic SLO dashboard to compare the before and after migration SLOs we've defined for our Monolith and Kubernetes service. + +### Tasks to complete this step +1. Create Dashboard + * From the left side menu in Dynatrace, pick the `dashboard` menu. + * On the dashboard page, click the `new dashboard` button. + +  + + - Provide a dashboard name like `Cloud Migration Success` + - On the blank dashboard page, click the settings. Then click the `advanced settings` link to open then settings page + +  + + - Referring to this picture, follow these steps: + * On the settings page, click the `dashboard JSON` menu. + * Copy and paste the following Json content from this file into your dashboard JSON, replacing the existing JSON in the process: + * Dashboard JSON file Link + * You **MUST** replace the `owner` field to be the email that you logged into Dynatrace with or you will not be able to view it. + +  + + * After you edit the email, then click the `Revert Dashboard ID` button. After you click the `Revert Dashboard ID` button, click the `Save changes` button. + +  +2. View Dashboard + - Click the `Cloud Migration Success` breadcrumb menu to go back to the dashboard page + +  + + - You should now see the dashboard + +  + +3. Edit Dashboard + - Now you need to edit the dashboard and adjust the tiles with the SLOs and databases in your environment. + - On the top right of the page, click the `edit` button and then follow these steps: + * Click on the title of the Dynamic requests tile to open the Service properties window on the right side + * On the Service properties window, pick the monolith `frontend (monolith-frontend)` service + * Click the `Done` button + +  + + - Edit remaining tiles by following these steps + * Repeat the same steps above for the Cloud services tile, but pick the `staging- frontend` in the Service properties window + * Repeat for the two SLO tiles, but pick the associated SLO from the drop down list in the SLO properties window + * Repeat for the two database tiles. For Cloud services application there are 3 databases, so just pick one of the database of a demo. + * Click the `Done` button to save the dashboard + + + +## Summary + + +In this section, you should have completed the following: + +โ Reviewed how Dynatrace integrates with [Azure monitor](https://azure.microsoft.com/en-us/services/monitor/) + +โ Reviewed how Azure monitor metrics can be configured as Metric events for alerts + +โ Examined Dynatrace Service Level Objectives (SLOs) + +โ Created a custom dashboard with SLOs + diff --git a/061-DynatraceOnAzure/Coach/Solution-05.md b/061-DynatraceOnAzure/Coach/Solution-05.md new file mode 100644 index 0000000000..02b2b347d2 --- /dev/null +++ b/061-DynatraceOnAzure/Coach/Solution-05.md @@ -0,0 +1,51 @@ +# Challenge 05 - Grail - Dashboards & Notebooks - Coach's Guide + +[< Previous Solution](./Solution-04.md) - **[Home](./README.md)** - [Next Solution >](./Solution-06.md) + +## Notes & Guidance + +## Detailed Steps + +### Dashboards +* Open the Dashboards app from the Left Menu +* Selectโฏ+ Dashboard +* Select + to add dashboard element +* Select Query Grail + + + +* In the tile editor for Query, enter the following DQL +```bash + fetch logs + | filter cloud.provider == "azure" + | summarize count(), by:{azure.resource.type} + | sort `count()`, direction:"descending" +``` +* SelectโฏRun Query. For logs, your results will be generated in a table by default. +* Select Select visualization tab to display the results differently. image + + +### Notebooks to analyze log data + +* Download this sample notebook we will use to analyze logs + - Right click in browser, click Save As + - Click on [this link](https://raw.githubusercontent.com/dt-alliances-workshops/azure-modernization-dt-orders-setup/grail/learner-scripts/AzureGrailWorkshop-Logs.json) to download the file. +  +* Go into Dynatrace UI, open the notebooks app from your left menu +  +* Expand the Notebooks menu +  +* Click on upload and browse to the notebook JSON file where you saved. +* Follow the instructions in the notebook to analyze log data from a Hipster shop sample app. + +### Notebooks to analyze metric data +* Download this sample notebook we will use to analyze logs + - Right click in browser, click Save As + - Click on [this link](https://raw.githubusercontent.com/dt-alliances-workshops/azure-modernization-dt-orders-setup/grail/learner-scripts/AzureGrailWorkshop-Metrics.json) to download the file. +  +* Go into Dynatrace UI, open the notebooks app from your left menu +  +* Expand the Notebooks menu +  +* Click on upload and browse to the notebook JSON file for Metrics where you saved. +* Follow the instructions in the notebook to analyze Azure metrics for your hosts. \ No newline at end of file diff --git a/061-DynatraceOnAzure/Coach/Solution-06.md b/061-DynatraceOnAzure/Coach/Solution-06.md new file mode 100644 index 0000000000..f8ec9d6e68 --- /dev/null +++ b/061-DynatraceOnAzure/Coach/Solution-06.md @@ -0,0 +1,52 @@ +# Challenge 06 - Grail - SRE Guardian & Workflows - Coach's Guide + +[< Previous Solution](./Solution-05.md) - **[Home](./README.md)** - [Next Solution >](./Solution-07.md) + +## Notes & Guidance + + +## Detailed Steps + +## Create the SRG + +* Create a guardian + * In Dynatrace from menu on the left, select Apps -> Site Reliability Guardian. + * On the All Guardians overview page, select + Guardian. + * Click on create without template. A new guardian is displayed in the editor. + * Provide a name for the guardian: my-first-guardian + * Add the following objective example by defining the name, a DQL, and specifying a target as well as a warning threshold. + * Objective name: Error rate + * Description: The error rate objective derives the number of error logs in ratio to the total number of log lines. The target is set to be less than 2% with a warning indicator at 1.5% of error logs. + * DQL to calculate the error + ```bash + fetch logs + | fieldsAdd errors = toLong(loglevel == "ERROR") + | summarize errorRate = sum(errors)/count() *100 + ``` +  + * Click on run query, select the last 1 hour to preview results of your current error rate. + * Set thresholds for this objective: + * Select Lower than the these numbers is good + * Failure: 1 + * Warning: 0.4 + * Click on Create to create the guardian. + * Click on Validate to perform a manual validation of the objective. + +### Creating a workflow to execute the SRG + +* Sign in to Dynatrace. +* In the Dynatrace Launcher, select Workflows. +* Select Add New workflow to create your first workflow. The Workflow editor opens. +* Select the workflow title ("Untitled Workflow") and customize the name e.g. "Guardian Check". +* In the Choose trigger section, select the Time interval trigger. + * Set the Run every (min) parameter to 10 minutes and Rule parameter to everyday +  + * To add the first task, select + on the trigger node of the workflow graph. +  + * In the Choose action section, which lists all available actions for tasks, select "Site Reliability Guardian". The workflow now has its first task and shows the input configuration for that task on the right. + * For the Guardian, select "my-first-guardian" + * For the timeframe, select "Last 1 Hour" +  +* From the left menu click on save to save the workflow +  +* Select run to execute the workflow \ No newline at end of file diff --git a/061-DynatraceOnAzure/Coach/Solution-07.md b/061-DynatraceOnAzure/Coach/Solution-07.md new file mode 100644 index 0000000000..8277b51af2 --- /dev/null +++ b/061-DynatraceOnAzure/Coach/Solution-07.md @@ -0,0 +1,61 @@ +# Challenge 07 - Cleanup - Coach's Guide + +[< Previous Solution](./Solution-06.md) - **[Home](./README.md)** + +## Notes & Guidance + +## Workshop Environment Reminder + +If you plan to keep the workshop resources running in Azure for a few more days to come back and review the labs, please keep in mind the following things: + +* Your Dynatrace Trial Environment will disabled after 14 calendar days. + +## Workshop Cleanup + +When you are ready to cleanup the workshop resource, run this command to remove the Azure resources and Dynatrace configuration: + +``` +cd ~/azure-modernization-dt-orders-setup/provision-scripts +./cleanup-workshop.sh +``` + +The start of the script output will look like this: + +``` +=================================================================== +About to Delete Workshop resources +=================================================================== +Proceed? (y/n) : y + +========================================== +Deleting workshop resources +Starting: Fri 07 May 2021 04:35:46 AM UTC +========================================== +... +... +``` + +Eventually when it completes - plan for 5-10 minutes - it will look like this: + +``` +============================================= +Deleting workshop resources COMPLETE +End: Fri 07 May 2021 04:40:40 AM UTC +============================================= +``` + +## Other Resources + +### Free Dynatrace SaaS tenant +To sign-up for a free fully featured enabled Dynatrace SaaS Tenant for 15 days [click here](https://www.dynatrace.com/trial/) + +### Resources +Addition Azure & Dynatrace related resources to get your started with: + +* [Partner Cafe Quick Azure Overview](https://www.youtube.com/watch?v=VCdEHAoEePw) +* [Dynatrace YouTube Videos](https://www.youtube.com/channel/UCcYJ-5q_AfmjQ4XTjTS0o3g) +* [More Support resources](https://www.dynatrace.com/services-support/#support-resources-section) +* Customer Stories:โ + - [Barbari](https://www.dynatrace.com/news/customer-stories/barbri/) + - [Kroger](https://www.dynatrace.com/news/customer-stories/kroger/) + - [Mitchells & Butlers](https://www.dynatrace.com/news/customer-stories/mitchells-and-butlers/) diff --git a/061-DynatraceOnAzure/Coach/Solutions/.gitkeep b/061-DynatraceOnAzure/Coach/Solutions/.gitkeep new file mode 100644 index 0000000000..e69de29bb2 diff --git a/061-DynatraceOnAzure/Coach/Solutions/img/aks-layer7-service.png b/061-DynatraceOnAzure/Coach/Solutions/img/aks-layer7-service.png new file mode 100644 index 0000000000..7b864e845b Binary files /dev/null and b/061-DynatraceOnAzure/Coach/Solutions/img/aks-layer7-service.png differ diff --git a/061-DynatraceOnAzure/Coach/Solutions/img/azure-pass-emailconfirm.png b/061-DynatraceOnAzure/Coach/Solutions/img/azure-pass-emailconfirm.png new file mode 100644 index 0000000000..fd1f8e16d7 Binary files /dev/null and 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b/061-DynatraceOnAzure/Coach/Solutions/img/setup-k8.png differ diff --git a/061-DynatraceOnAzure/Coach/Solutions/img/setup-ms-account.png b/061-DynatraceOnAzure/Coach/Solutions/img/setup-ms-account.png new file mode 100644 index 0000000000..3c8160e4a6 Binary files /dev/null and b/061-DynatraceOnAzure/Coach/Solutions/img/setup-ms-account.png differ diff --git a/061-DynatraceOnAzure/README.md b/061-DynatraceOnAzure/README.md new file mode 100644 index 0000000000..fe400d987c --- /dev/null +++ b/061-DynatraceOnAzure/README.md @@ -0,0 +1,66 @@ +# What The Hack - Dynatrace On Azure + +## Introduction + +This WhatTheHack challenges you to leverage the combined strengths of Dynatrace's all-in-one monitoring platform and the vast capabilities of Microsoft Azure to solve a real-world problem. Dive into application performance monitoring (APM), digital experience monitoring (DEM), infrastructure monitoring, and more, to showcase your skills and unearth hidden insights across your Azure cloud environment. + +Here's what you can expect: + +* **Full-Stack Monitoring on Azure:** Achieve end-to-end observability for your Azure infrastructure, applications, and services, including Azure VMs, Azure Kubernetes Service (AKS), Azure App Services, and more. +* **AI-Powered Insights:** Leverage Dynatraceโs AI engine, [Davis](https://www.dynatrace.com/platform/artificial-intelligence/), to automatically detect anomalies, pinpoint root causes, and provide predictive analytics specifically tailored for Azure environments. +* **Automated Operations:** Leverage our easy-to-use visual workflow creator or automation-as-code workflow capabilities to automatically act on the data gathered and answers provided by Dynatrace.. +* **Real-Time Analytics:** With [Grail](https://www.dynatrace.com/platform/grail/), you can utilize real-time data to make informed decisions and optimize performance on Azure, ensuring seamless user experiences across your cloud-native and hybrid applications. +* **Enhanced Security:** Integrate [security monitoring](https://www.dynatrace.com/platform/security-protection/) to detect vulnerabilities within your Azure workloads and mitigate risks proactively. + +This hack was designed specifically for Cloud Ops Engineers, DevOps engineers, Developers, and Architects who want to expand their knowledge on Dynatrace & Azure. However, anyone with passion around Observability is welcome! + + +## Learning Objectives + +In this hack you will be solving business problems that companies in any industry face by modernizing their legacy systems to cloud native architecture. + +This hack will : + +* Master Full-Stack Observability: + * Monitor Azure infrastructure and applications using Dynatrace. + * Visualize end-to-end transactions within Azure. +* Utilize AI-Powered Monitoring: + * Use Dynatraceโs AI engine for anomaly detection and root cause analysis in Azure. + * Automate problem resolution with AI-driven insights. +* Implement Automated Operations: + * Apply best practices for seamless automation within Azure environments. + * Automate workflows and remediation processes for operational efficiency. +* Enhance Security Monitoring: + * Detect vulnerabilities and threats in Azure workloads. + * Implement proactive risk mitigation strategies. + +## Challenges + +- Challenge 00: **[Prerequisites - Ready, Set, GO!](Student/Challenge-00.md)** + - Prepare your environment to work with Azure and Dynatrace. +- Challenge 01: **[OneAgent Observability on Azure VM](Student/Challenge-01.md)** + - Review the power on OneAgent. +- Challenge 02: **[Dynatrace Observability on AKS](Student/Challenge-02.md)** + - Deploy Dynatrace Operator on AKS cluster with a sample application and review AKS observability with Dynatrace. +- Challenge 03: **[Automated Root Cause Analysis with Davis](Student/Challenge-03.md)** + - Enable a problem in your sample application and walk through what Davis found. +- Challenge 04: **[Azure Monitor Metrics & Custom Dashboard](Student/Challenge-04.md)** + - In this challenge, you will create a custom dashboard to track Service Level Objects (SLO's) +- Challenge 05: **[Challenge 05 - Grail - Dashboards & Notebooks](Student/Challenge-05.md)** + * In this challenge, you will query, visualize, and observe all your data stored in Grail via Dashboards and Notebooks. +- Challenge 06: **[Challenge 06 - Grail - SRE Guardian & Workflows](Student/Challenge-06.md)** + * In this challenge you'll learn the benefits of Site Reliability Guardian (SRG) and experience the power of Automation in dynatrace by creating workflows to automatically execute an SRG. +- Challenge 07: **[Cleanup](Student/Challenge-07.md)** + - In this challenge, you will cleanup any resources you've created during the Hack + +## Prerequisites + +- Your own Azure subscription with ``Owner`` privileges +- Knowledge of [Azure Cloudshell](../../000-HowToHack/WTH-Common-Prerequisites.md#azure-cloud-shell) +- [Dynatrace Trial environment via Azure Marketplace](https://azuremarketplace.microsoft.com/en-US/marketplace/apps/dynatrace.dynatrace_portal_integration?tab=Overview) + + +## Contributors + +- Jay Gurbani + diff --git a/061-DynatraceOnAzure/Student/Challenge-00.md b/061-DynatraceOnAzure/Student/Challenge-00.md new file mode 100644 index 0000000000..1b7e19385d --- /dev/null +++ b/061-DynatraceOnAzure/Student/Challenge-00.md @@ -0,0 +1,137 @@ +# Challenge 00 - Prerequisites - Ready, Set, GO! + +**[Home](../README.md)** - [Next Challenge >](./Challenge-01.md) + + + +## Introduction + + As a new engineer, you have been tasked with modernizing an e-commerce website for a company named `DT Hackers`. The existing application was developed using Node.js and runs on Azure virtual machines. However, the goal now is to containerize the application for deployment on Kubernetes. Your initial task is to deploy the application to an Azure VM to gain a comprehensive understanding of the application and use Dynatrace to analyze its downstream dependencies. + + Subsequently, you need to devise a strategy for migrating the application to run on an [Azure Kubernetes Services](https://azure.microsoft.com/en-us/products/kubernetes-service) cluster. Throughout this process, you'll utilize Dynatrace to monitor the application on Azure VM. After migrating to AKS, you'll compare the product functionality and assess the ease of monitoring and managing the application with Dynatrace. This comparison will help you streamline the migration and modernization of your application. + + You will present the deployed solution to the company's leadership upon successful migration for approval. The aim is to showcase how quickly and easily full stack observability can be achieved in minutes, with all metrics, logs, and traces for all Azure workloads being monitored in context using Dynatrace. The goal is to achieve fully automated, AI-assisted observability across the Azure environment. + +## Common Prerequisites + +We have compiled a list of common tools and software that will help you complete most What The Hack Azure-based hacks! + +You might not need all of them for the hack you are participating in. However, if you work with Azure on a regular basis, these are all things you should consider having in your toolbox. + + + +- [Azure Subscription](../../000-HowToHack/WTH-Common-Prerequisites.md#azure-subscription) +- [Managing Cloud Resources](../../000-HowToHack/WTH-Common-Prerequisites.md#managing-cloud-resources) + - [Azure Portal](../../000-HowToHack/WTH-Common-Prerequisites.md#azure-portal) + - [Azure Cloud Shell](../../000-HowToHack/WTH-Common-Prerequisites.md#azure-cloud-shell) + - [Azure CLI](../../000-HowToHack/WTH-Common-Prerequisites.md#azure-cli) + + +## Additional Pre-requisites + +- Coach must validate if the [Dynatrace Azure Workshop Github repo](https://github.com/dt-alliances-workshops/azure-modernization-dt-orders-setup/) is accessible. + +- In this hack we'll use [Azure Native Dynatrace Service](https://www.dynatrace.com/news/blog/using-dynatrace-on-microsoft-azure/), a seamless way to provision and manage Dynatrace in the Azure Portal. We will begin a free trial through the Azure Marketplace. Please familiarize your self with the docs below + - [Dynatrace Docs](https://docs.dynatrace.com/docs/setup-and-configuration/setup-on-cloud-platforms/microsoft-azure-services/azure-platform/azure-native-integration) + - [Microsoft Docs](https://learn.microsoft.com/en-us/azure/partner-solutions/dynatrace/dynatrace-overview) + +## Description + + +Now that you've reviewed the common pre-requisites for this hack, let's jump in get started! + + + +### Dynatrace Trial Environment Setup + +* Sign-up for free trail of [Azure Native Dynatrace Service via Marketplace](https://azuremarketplace.microsoft.com/en-US/marketplace/apps/dynatrace.dynatrace_portal_integration?tab=Overview) with full feature set of our all-in-one performance monitoring platform to monitor Azure. + - Create the Free Trial using the `Dynatrace for Azure Trial` plan +
+ - Refer to the guide on [to create new Dynatrace Azure resource](https://learn.microsoft.com/en-us/azure/partner-solutions/dynatrace/dynatrace-create#create-a-dynatrace-resource-in-azure) once you choose the free trial public plan.
+
+ ### Dynatrace Prep
+
+ For this challenge, you will deploy an application called ``DTOrders`` and its underlying Azure VM resources to Azure using a set of pre-developed scripts. Once the application and its infrastructure are deployed, you will complete the hack by jumping in to fully analyze the application within Dynatrace.
+
+
+- Access your [Azure Native Dynatrace Service](https://docs.dynatrace.com/docs/setup-and-configuration/setup-on-cloud-platforms/microsoft-azure-services/azure-platform/azure-native-integration#access-your-dynatrace-environment) resource in Azure Portal. Access the Dynatrace environment from the Azure Portal
+- Review [docs](https://www.dynatrace.com/support/help/dynatrace-api/basics/dynatrace-api-authentication#create-token) on how to create API Access token in Dynatrace.
+- Login to the Dynatrace tenant and create a Dynatrace API Access token with the ``Write API Token`` scope.
+- In a separate notepad, please copy/paste the following things needed in a future step below
+ - Jot down the API token, it will be following format: ``dt0c01.ABC12345DEFGHI``
+ - Dynatrace tenant url, it should be in format link this: ``https://ABC.apps.dynatrace.com``
+
+### Azure Portal Prep
+ - Login to Azure Portal and click on the **Cloud Shell** button on the menu in upper right hand corner 
+ - Note: If you get a prompt to to select Bash or Powershell, please select **Bash**
+- Lookup your [Azure subscription ID](https://learn.microsoft.com/en-us/azure/azure-portal/get-subscription-tenant-id) and save that off in the notepad where you have your other dynatrace info.
+
+### Provision workshop resources with Cloud Shell
+- Within your Azure Cloud Shell window, run a command to clone workshop scripts.
+ ```bash
+ git clone https://github.com/dt-alliances-workshops/azure-modernization-dt-orders-setup.git
+ ```
+- Within Azure Cloud Shell window, change directory to ``azure-modernization-dt-orders-setup/provision-scripts`` folder and run input-credentials.sh
+ ```bash
+ cd ~/azure-modernization-dt-orders-setup/provision-scripts
+ ./wthinputs.sh
+ ```
+ > ***๐ Note:*** When you run input-credentials.sh, it will prompt you to input Azure subscription id, Dynatrace Environment Url, Dynatrace API token and your last name.
+
+ > ***๐ Note:*** After input-credentials.sh has successfully run, it output your Dynatrace Operator & Data Ingest Token and your API URL. Please jot those two values in a notepad. Those will be used in Challenge 2.
+
+- Run the script to provision the workshop Azure resources
+ ```bash
+ cd ~/azure-modernization-dt-orders-setup/provision-scripts
+ ./provision-workshop.sh wth
+ ```
+- Validate that the provisioning completed successfully with this message
+ ``` ...
+ ...
+ =============================================
+ Provisioning workshop resources COMPLETE
+ =============================================
+ ```
+
+
+
+
+## Success Criteria
+
+To complete this challenge successfully, you should be able to:
+
+- Once provisioning script has completed, ensure you have a total of 8 azure resources within the resource group `
+
+
+Workflows is one of the built-in apps shipped with Dynatrace. A series of actions are assembled to build processes in a graphical representation. Those workflows can automatically be triggered by events in Dynatrace, either on a schedule or manually.
+
+Workflows let you:
+- Automatically react to Davis events or security problems.
+- Schedule reports in line with holidays and work hours.
+- Orchestrate IT processes across your entire IT landscape.
+- Connect to both cloud and locally gated services.
+- Combine out-of-the-box integrations with custom code.
+- Visualize automated processes in a graphical workflow interface.
+- Get live monitoring and a full audit trail of any automation execution.
+- Define flow logic with custom conditions, automatic retries, loops, and parallel processing.
+
+## Description
+
+## Objectives
+- In this hack we'll create Site Reliability Guardian (SRG) and a Workflow to automate change impact analysis of your application service.
+
+### Tasks
+
+* Create a Guardian.
+ - Add an error rate objective to the Guardian. Use the following DQL to calculate the error rate
+ ```bash
+ fetch logs
+ | fieldsAdd errors = toLong(loglevel == "ERROR")
+ | summarize errorRate = sum(errors)/count() * 100
+ ```
+ - Set the following thresholds for the objective
+ - `Select Lower than the these numbers is good`
+ - Failure: 1
+ - Warning: 0.4
+* Create a workflow to run every 10 minutes to trigger the SRG.
+
+
+## Success Criteria
+- Workflow executes the SRG
+## Learning Resources
+- [Quickstart](https://docs.dynatrace.com/docs/platform-modules/automations/workflows/quickstart) examples on how to build Workflows in Dynatrace
+## Tips
\ No newline at end of file
diff --git a/061-DynatraceOnAzure/Student/Challenge-07.md b/061-DynatraceOnAzure/Student/Challenge-07.md
new file mode 100644
index 0000000000..23ece17b60
--- /dev/null
+++ b/061-DynatraceOnAzure/Student/Challenge-07.md
@@ -0,0 +1,41 @@
+# Challenge 07 - Cleanup
+
+[< Previous Challenge](./Challenge-06.md) - **[Home](../README.md)**
+
+
+
+## Pre-requisites (Optional)
+None
+
+## Introduction
+If you plan to keep things running so you can examine the workshop a bit more please remember to do cleanup when you are done.
+
+You have a fully feature enabled 30 day Dynatrace trial, so keep using it to monitor and manage your infrastructure and applications!!
+
+## Description
+
+- Run the cleanup script
+ ```bash
+ cd ~/azure-modernization-dt-orders-setup/provision-scripts
+ ./cleanup-workshop.sh
+ ```
+
+## Success Criteria
+- All 12 Azure resources are removed from Azure
+
+## Learning Resources
+
+- [Partner Cafe Quick Azure Overview](https://www.youtube.com/watch?v=VCdEHAoEePw)
+- [Dynatrace YouTube Videos](https://www.youtube.com/channel/UCcYJ-5q_AfmjQ4XTjTS0o3g)
+- [More Support resources](https://www.dynatrace.com/services-support/#support-resources-section)
+- Customer Stories:โ
+ - [Barbari](https://www.dynatrace.com/news/customer-stories/barbri/)
+ - [Kroger](https://www.dynatrace.com/news/customer-stories/kroger/)
+ - [Mitchells & Butlers](https://www.dynatrace.com/news/customer-stories/mitchells-and-butlers/)
+
+
+## Tips
+
+
+## Advanced Challenges (Optional)
+
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