
Explore chaos engineering with Azure Chaos Studio to proactively test system resilience, run chaos experiments, and identify vulnerabilities through practical stress tests and real-world scenarios.
Explore how azure chaos studio enables controlled chaos and resilience testing across azure services, using a faults library, observability integration, and scheduled, repeatable experiments for secure, collaborative chaos engineering.
Explore the origins and core ideas of chaos engineering, including deliberate fault injection, latency, resource exhaustion, and service termination, through the phases of hypothesis, experiment, and learn in production.
Compare traditional QA testing with chaos engineering in production-like environments, highlighting differences in objectives, methodologies, and outcomes; latency injection, resource exhaustion, and termination reveal weaknesses and boost resilience.
Learn how shift left and shift right testing complement chaos engineering, balancing early bug detection with production resilience. Explore their pros, cons, and the value of combining them.
Develop technical maturity in chaos engineering with comprehensive monitoring, automated experiments, and a controlled testing environment to enable learning and adaptation for resilient systems.
Discover how Azure Chaos Studio offers chaos engineering as a software-as-a-service with targets and experiments, easy setup, and Azure integration, while noting limited templates and reporting gaps.
Explore Gremlin, a commercial reliability platform for chaos engineering across bare metal, VMs, containers, and cloud, with a robust UI, dashboard, health checks, and a shared fault library.
Explore litmus chaos, an open-source, CNCF-hosted Kubernetes testing platform with a chaos hub of reusable experiments and Prometheus observability across cloud platforms.
Set up two Windows VMs in the same Azure virtual network and verify ping connectivity through ICMP. Then use Chaos Studio to terminate one VM and observe latency.
Enable VMs as Chaos Studio targets using agent-based targets, create a chaos identity as a managed identity, and link diagnostic data to an Application Insights resource to prepare for experiments.
Design a chaos experiment in Chaos Studio, selecting cpu pressure as the fault. Apply 95% cpu pressure to VM two for five minutes and review the impact on ping.
Run a chaos experiment to test CPU pressure on pings between machines, monitor CPU utilization and ICMP latency, and gradually add memory and network latency to assess resilience.
Edit a chaos experiment to target two network security groups, grant the chaos experiment contributor access, and block ICMP inbound traffic for five minutes to observe ping timeouts and recovery.
Dive deep into the dynamic world of resilience with 'Chaos Engineering using Azure Chaos Studio.' This comprehensive course is meticulously designed for IT professionals and enthusiasts who are committed to enhancing the robustness of their applications deployed on Microsoft Azure. By integrating controlled chaos experiments, you'll learn how to proactively anticipate, identify, and mitigate potential disruptions before they impact your operations.
Throughout this engaging course, you will familiarize yourself with the core principles of chaos engineering. Begin with a solid introduction to the concepts and practices that underpin chaos engineering, including the importance of controlled disruptions to better understand system vulnerabilities. This foundational knowledge sets the stage for more advanced topics.
As you progress, you will delve into the functionalities and features of Azure Chaos Studio. You'll learn how to set up detailed chaos experiments, monitor their effects in real-time, and analyze the results to gain actionable insights. The course includes hands-on tutorials that guide you through configuring your first experiments, utilizing Azure’s built-in tools to simulate a variety of failure scenarios—from network latency issues to complete outages of critical services.
Additionally, the course will cover how to integrate chaos engineering practices into your existing DevOps workflows. You’ll explore how to automate chaos experiments using Azure DevOps and GitHub Actions, ensuring that resilience testing becomes a seamless part of your software development cycle.
This course is ideal for software developers, DevOps engineers, cloud architects, and site reliability engineers who are actively involved or interested in the deployment and management of cloud applications. It’s also highly beneficial for team leads and IT managers who oversee teams handling cloud services, providing them with the knowledge to lead their teams in building more reliable and fault-tolerant systems.
By the end of this course, you will be empowered to implement chaos engineering strategies effectively, turning potential disruptions into opportunities for enhancing system stability and performance. Embrace the controlled chaos of Azure Chaos Studio to ensure your digital environments are as resilient as they can be, providing you with peace of mind in an unpredictable world.