Part-2: Evaluating Application Resiliency with Keptn and LitmusChaos (use-case and demo)

• keptn

  5 1,811 0.0 Go

  Discontinued Cloud-native application life-cycle orchestration. Keptn automates your SLO-driven multi-stage delivery and operations & remediation of your applications.

  

Jmeter: Jmeter is used to generate load on the helloservice app based on a predefined config (in this case, a performance profile), to simulate real-world traffic. As mentioned earlier, Keptn allows for the execution of parallel tasks by triggering multiple tools simultaneously via its event-driven approach and dedicated control plane services. The tool is invoked via the Jmeter Service. The intent here is to simulate real-world traffic to set the app under stress and simulate standard conditions for SLO evaluation and relative benchmarking.

• podtato-head

  5 340 1.3 Shell

  Demo App for TAG App Delivery

  

Automated deployment of an application via Keptn is typically chained with CI pipelines that generate the images or resource artifacts. In our use-case, the goal is to examine the resilience of one such helloservice application: the CNCF podtato-head. The hypothesis as a developer or user of the helloservice is that (a) the app is nearly always available and (b) accessed within a desired latency. We shall use a pod-kill chaos experiment to disrupt the state and verify if our resilience hypothesis holds true (i.e., whether the service has been built/deployed to meet our expectations). This action is performed when the application is busy serving requests, as this is a real-world case.

• InfluxDB

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• litmus-service

  1 7 0.0 Go

  Integration for LitmusChaos

  

The content has been adapted from demonstrations made to the cloud-native community during the CNCF SIG-App-Delivery & Keptn Webinars. Having said that, we will try to focus more on the “why” & “what” part of this demonstration than the “how” (steps, commands, and manifests involved). You can find details of the latter in this excellent tutorial from the Keptn team or find your way in the Github repository for the litmus-service.

• prometheus-sli-service

  1 6 6.5 Go
  

Prometheus: As a natively supported SLI source within Keptn (called SLI-provider in Keptn), we are going to use Prometheus, which will hold the data exported by the blackbox exporter for the evaluation process. The Keptn control plane will then reach out to Prometheus and query the data for the app under test for the timeframe that needs to be evaluated. To ease setup and maintenance, Keptn creates necessary configurations such as scrape jobs or alerting rules automatically as part of the Prometheus service integration.

• prometheus-service

  1 10 0.0 Go

  Discontinued Keptn service for utilizing Prometheus monitoring and alerting in keptn

  

Prometheus: As a natively supported SLI source within Keptn (called SLI-provider in Keptn), we are going to use Prometheus, which will hold the data exported by the blackbox exporter for the evaluation process. The Keptn control plane will then reach out to Prometheus and query the data for the app under test for the timeframe that needs to be evaluated. To ease setup and maintenance, Keptn creates necessary configurations such as scrape jobs or alerting rules automatically as part of the Prometheus service integration.

• blackbox_exporter

  47 4,319 8.3 Go

  Blackbox prober exporter

  

Blackbox Exporter: The blackbox exporter is a standard Prometheus exporter that allows probing of endpoints over http/https and generates useful metrics indicating service health and performance. In this use-case, the blackbox exporter is set up to probe the helloservice, with the metrics being used in the SLI configuration. The intention here is to not check for the response time or throughput of the application, but rather to probe if the application is available at all. Putting Things Together Bringing all pieces together results in a process outlined in the following image. The podtato-head helloservice application will be deployed by Keptn. Once deployment is finished, the Litmus chaos experiment, as well as the Jmeter load tests, are triggered by Keptn. Prometheus is constantly executing probes and gathering data about the availability of the application under test. Keptn in turn queries this data to make use of it in the SLO-based quality evaluation.

• litmus

  63 4,194 9.4 Go

  Litmus helps SREs and developers practice chaos engineering in a Cloud-native way. Chaos experiments are published at the ChaosHub (https://hub.litmuschaos.io). Community notes is at https://hackmd.io/a4Zu_sH4TZGeih-xCimi3Q

  

Go try this out and share your feedback on what you like about this integration and what you’d like improved. Feel free to create issues, engage in discussions on the Keptn Slack and Litmus Github repository. Stay tuned for more updates on how you can leverage Keptn & LitmusChaos CNCF projects to build and ship resilient cloud-native applications!

• SaaSHub

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• spec

  31 4,800 7.6 Python

  CloudEvents Specification (by cloudevents)

  

Communication to and from Keptn is done via CloudEvents, providing a clear and rich interface built on open standards. Tool integrations can be added to Keptn by connecting to the Keptn control-plane and subscribing for events, such as events that trigger deployments, tests, or remediation tasks that can go far beyond pure runbook automation. For the use case of this blog, we are mainly focussing on Keptn’s delivery and test orchestration capabilities, as well as the SLO-based quality gates of Keptn.

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