{"id":49727,"date":"2025-06-20T02:01:20","date_gmt":"2025-06-20T02:01:20","guid":{"rendered":"https:\/\/www.devopsschool.com\/blog\/?p=49727"},"modified":"2025-06-20T02:02:45","modified_gmt":"2025-06-20T02:02:45","slug":"chaos-engineering","status":"publish","type":"post","link":"https:\/\/www.devopsschool.com\/blog\/chaos-engineering\/","title":{"rendered":"Chaos Engineering: A Complete Guide from Beginner to Advanced"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Chaos Engineering: A Complete Guide from Beginner to Advanced<\/h2>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">1. Introduction to Chaos Engineering<\/h3>\n\n\n\n<p>Chaos Engineering is the discipline of experimenting on a system in order to build confidence in its capability to withstand turbulent conditions in production. Introduced by Netflix, Chaos Engineering helps answer the question: &#8220;How will our system behave when things go wrong?&#8221; It&#8217;s a proactive, scientific approach to uncovering systemic weaknesses before they cause major outages.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Example:<\/h3>\n\n\n\n<p>Imagine your login service depends on a database that goes down unexpectedly. With Chaos Engineering, you simulate that failure and verify that your application can gracefully fall back or notify users properly.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">2. Why Chaos Engineering Matters<\/h3>\n\n\n\n<p>Modern cloud-native systems are inherently complex. Distributed microservices, container orchestration, and dynamic scaling introduce many potential points of failure. Traditional QA and unit testing can&#8217;t fully account for real-world variables such as network jitter, sudden CPU spikes, or instance crashes.<\/p>\n\n\n\n<p><strong>Chaos Engineering provides:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Validation of fallback strategies<\/li>\n\n\n\n<li>Increased system confidence for developers and SREs<\/li>\n\n\n\n<li>Improved incident response and mean time to recovery (MTTR)<\/li>\n\n\n\n<li>Insight into performance bottlenecks under stress<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">3. Core Principles of Chaos Engineering<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Principle<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Define steady state<\/td><td>Identify the normal, expected behavior of the system<\/td><\/tr><tr><td>Hypothesis formation<\/td><td>Make assumptions on system behavior during fault injection<\/td><\/tr><tr><td>Inject variables<\/td><td>Simulate failures: CPU stress, latency, unresponsive services, etc.<\/td><\/tr><tr><td>Measure and observe<\/td><td>Use monitoring tools to track system behavior during and after the experiment<\/td><\/tr><tr><td>Learn and iterate<\/td><td>Use findings to strengthen system architecture and repeat tests regularly<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">4. Common Myths and Misconceptions<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>&#8220;Chaos Engineering is reckless.&#8221;<\/strong><br>It\u2019s actually controlled, hypothesis-driven testing with safety measures.<\/li>\n\n\n\n<li><strong>&#8220;Only large companies need it.&#8221;<\/strong><br>Even small startups face downtime; chaos helps validate resilience early.<\/li>\n\n\n\n<li><strong>&#8220;It causes more harm than good.&#8221;<\/strong><br>Not if it\u2019s done with proper scoping, observability, and recovery protocols.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">5. Understanding System Resilience and Reliability<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Term<\/th><th>Definition<\/th><\/tr><\/thead><tbody><tr><td>Resilience<\/td><td>The system\u2019s ability to recover from unexpected disruptions<\/td><\/tr><tr><td>Reliability<\/td><td>The ability to function consistently over time under expected conditions<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>Chaos Engineering strengthens resilience by exposing recovery weaknesses before failure occurs.<\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">6. Prerequisites for Practicing Chaos Engineering<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Active monitoring and alerting (Prometheus, Datadog)<\/li>\n\n\n\n<li>Defined SLIs\/SLOs and error budgets<\/li>\n\n\n\n<li>Clear ownership of services<\/li>\n\n\n\n<li>Communication plan during chaos testing<\/li>\n\n\n\n<li>Rollback or recovery plan<\/li>\n\n\n\n<li>Feature flags or circuit breakers<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">7. Designing a Chaos Experiment: Key Steps<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Step<\/th><th>Detail<\/th><\/tr><\/thead><tbody><tr><td>Define steady state<\/td><td>e.g., 99.9% success rate on API calls<\/td><\/tr><tr><td>Form a hypothesis<\/td><td>e.g., &#8220;If DB goes down, fallback cache will serve 90% of traffic&#8221;<\/td><\/tr><tr><td>Choose a scope<\/td><td>Limit experiment to one service or node<\/td><\/tr><tr><td>Inject fault<\/td><td>Use tools to simulate failure (e.g., kill DB pod, add network latency)<\/td><\/tr><tr><td>Observe impact<\/td><td>Track logs, metrics, alerts during the test<\/td><\/tr><tr><td>Analyze results<\/td><td>Compare with hypothesis, identify gaps<\/td><\/tr><tr><td>Improve and repeat<\/td><td>Fix issues, retest after changes<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">8. Types of Chaos Experiments<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Type<\/th><th>Description<\/th><th>Tools<\/th><\/tr><\/thead><tbody><tr><td>CPU stress<\/td><td>Overload CPU on one or more nodes<\/td><td>Gremlin, LitmusChaos<\/td><\/tr><tr><td>Memory pressure<\/td><td>Consume RAM to simulate leaks or heavy processing<\/td><td>Chaos Mesh<\/td><\/tr><tr><td>Disk fill<\/td><td>Simulate full disk scenarios<\/td><td>Chaos Mesh, Pumba<\/td><\/tr><tr><td>Network latency<\/td><td>Add delays or packet loss<\/td><td>Toxiproxy, Chaos Mesh<\/td><\/tr><tr><td>Service crash<\/td><td>Kill a process or container<\/td><td>Chaos Monkey, Gremlin<\/td><\/tr><tr><td>DNS failure<\/td><td>Simulate broken DNS or name resolution<\/td><td>Gremlin, LitmusChaos<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">9. Popular Chaos Engineering Tools<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Tool<\/th><th>Best For<\/th><th>Highlights<\/th><\/tr><\/thead><tbody><tr><td>Chaos Monkey<\/td><td>Instance termination in cloud<\/td><td>Developed by Netflix, simple but powerful<\/td><\/tr><tr><td>Gremlin<\/td><td>Enterprise-grade chaos as a service<\/td><td>SaaS, fine-grained controls, SRE integrations<\/td><\/tr><tr><td>LitmusChaos<\/td><td>Kubernetes-native environments<\/td><td>Open-source, CRD-driven, CI\/CD compatible<\/td><\/tr><tr><td>Chaos Mesh<\/td><td>Full K8s lifecycle scenarios<\/td><td>Visual workflows, rich fault types<\/td><\/tr><tr><td>Toxiproxy<\/td><td>Network failure simulation<\/td><td>Lightweight proxy-based testing<\/td><\/tr><tr><td>Pumba<\/td><td>Docker-level fault injection<\/td><td>CLI based, container chaos, simple setup<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">10. Setting Up a Chaos Engineering Lab Environment<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Environment:<\/strong> Use Kubernetes Minikube, Kind, or EKS sandbox<\/li>\n\n\n\n<li><strong>Monitoring Stack:<\/strong> Prometheus + Grafana<\/li>\n\n\n\n<li><strong>Deploy Microservices:<\/strong> Use open-source apps (SockShop, Online Boutique)<\/li>\n\n\n\n<li><strong>Inject Chaos Tools:<\/strong> Deploy LitmusChaos via Helm or Operator<\/li>\n\n\n\n<li><strong>Test Observability:<\/strong> Ensure logs, traces, and metrics are captured<\/li>\n<\/ol>\n\n\n\n<p><strong>Tip:<\/strong> Isolate lab from production using namespaces or separate clusters.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">11. Choosing the Right Metrics and Observability Tools<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Metric Type<\/th><th>Examples<\/th><th>Tools<\/th><\/tr><\/thead><tbody><tr><td>Availability<\/td><td>Uptime %, HTTP 200\/500 rates<\/td><td>Prometheus, Datadog<\/td><\/tr><tr><td>Latency<\/td><td>API response times, P99 latencies<\/td><td>Grafana, New Relic<\/td><\/tr><tr><td>Error Rates<\/td><td>4xx\/5xx errors, failed DB queries<\/td><td>Sentry, ELK, Honeycomb<\/td><\/tr><tr><td>Resource Usage<\/td><td>CPU, Memory, Disk, Network<\/td><td>cAdvisor, CloudWatch<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">12. Running Your First Chaos Experiment \u2013 A Step-by-Step Guide<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Select Target:<\/strong> Choose a non-critical service (e.g., product listing API).<\/li>\n\n\n\n<li><strong>Establish Steady State:<\/strong> e.g., 200 OK response rate over last 5 minutes.<\/li>\n\n\n\n<li><strong>Form Hypothesis:<\/strong> e.g., &#8220;If the cache crashes, DB handles 100% traffic with &lt;300ms latency.&#8221;<\/li>\n\n\n\n<li><strong>Inject Chaos:<\/strong> Use LitmusChaos to kill cache pod.<\/li>\n\n\n\n<li><strong>Observe:<\/strong> Monitor Grafana dashboards and logs for errors, latency spikes.<\/li>\n\n\n\n<li><strong>Analyze:<\/strong> Confirm or refute hypothesis, document impact.<\/li>\n\n\n\n<li><strong>Remediate:<\/strong> Improve fallback logic, auto-healing, scaling policies.<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">13. Validating Hypotheses and Interpreting Results<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>If the system performs within tolerance (e.g., latency &lt; threshold), the hypothesis is validated.<\/li>\n\n\n\n<li>If metrics degrade significantly, the experiment exposes a real weakness.<\/li>\n\n\n\n<li>Use statistical tools to assess confidence in outcomes.<\/li>\n<\/ul>\n\n\n\n<p><strong>Tip:<\/strong> Record every outcome in a playbook for future regression testing.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">14. Minimizing Blast Radius and Ensuring Safety<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Start in staging environments.<\/li>\n\n\n\n<li>Limit to single region or namespace.<\/li>\n\n\n\n<li>Use feature flags and traffic mirroring.<\/li>\n\n\n\n<li>Define kill switches.<\/li>\n\n\n\n<li>Communicate across teams.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">15. Chaos Engineering in Kubernetes Environments<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Use <strong>LitmusChaos<\/strong>, <strong>Chaos Mesh<\/strong>, or <strong>PowerfulSeal<\/strong>.<\/li>\n\n\n\n<li>Inject chaos at pod, container, node, service, or network levels.<\/li>\n\n\n\n<li>Integrate with K8s observability stack (Prometheus + Grafana + Loki).<\/li>\n<\/ul>\n\n\n\n<p><strong>Use Case Example:<\/strong><br>Simulate node failure in GKE by cordoning and draining the node, then verifying pod rescheduling and app performance.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">16. Automating Chaos Experiments in CI\/CD Pipelines<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Integrate with Jenkins, GitHub Actions, GitLab CI.<\/li>\n\n\n\n<li>Run chaos jobs after test\/staging deployment.<\/li>\n\n\n\n<li>Auto-fail build if error budgets or SLOs violated.<\/li>\n<\/ul>\n\n\n\n<p><strong>YAML Snippet (GitHub Actions + LitmusChaos):<\/strong><\/p>\n\n\n<pre class=\"wp-block-code\" aria-describedby=\"shcb-language-1\" data-shcb-language-name=\"JavaScript\" data-shcb-language-slug=\"javascript\"><span><code class=\"hljs language-javascript\">- name: Inject Chaos\n  <span class=\"hljs-attr\">run<\/span>: kubectl apply -f pod-<span class=\"hljs-keyword\">delete<\/span>.yaml\n<\/code><\/span><small class=\"shcb-language\" id=\"shcb-language-1\"><span class=\"shcb-language__label\">Code language:<\/span> <span class=\"shcb-language__name\">JavaScript<\/span> <span class=\"shcb-language__paren\">(<\/span><span class=\"shcb-language__slug\">javascript<\/span><span class=\"shcb-language__paren\">)<\/span><\/small><\/pre>\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">17. Integrating Chaos Engineering with SRE Practices<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Align chaos tests with SLOs and SLIs.<\/li>\n\n\n\n<li>Integrate with incident drills.<\/li>\n\n\n\n<li>Use chaos results in error budget consumption reports.<\/li>\n<\/ul>\n\n\n\n<p><strong>Best Practice:<\/strong> Run monthly chaos game days as part of reliability KPIs.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">18. Real-World Case Studies and Industry Examples<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Company<\/th><th>Use Case<\/th><th>Outcome<\/th><\/tr><\/thead><tbody><tr><td>Netflix<\/td><td>Terminating EC2 instances randomly<\/td><td>Improved auto-scaling and recovery<\/td><\/tr><tr><td>LinkedIn<\/td><td>Injecting failures in staging<\/td><td>Reduced production incidents by 23%<\/td><\/tr><tr><td>Target<\/td><td>Team-based Chaos Days<\/td><td>Better incident response and documentation<\/td><\/tr><tr><td>Shopify<\/td><td>Simulating dependency failure<\/td><td>Faster failover and error budget tracking<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">19. Chaos Engineering Anti-Patterns to Avoid<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Chaos without observability<\/li>\n\n\n\n<li>No clear hypothesis<\/li>\n\n\n\n<li>Targeting critical production flows untested<\/li>\n\n\n\n<li>No rollback or kill switch<\/li>\n\n\n\n<li>Not reviewing experiment outcomes<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">20. Building a Culture of Resilience in Your Organization<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Embrace blameless postmortems<\/li>\n\n\n\n<li>Promote continuous learning from failures<\/li>\n\n\n\n<li>Reward proactive resilience efforts<\/li>\n\n\n\n<li>Cross-train teams on chaos tooling and safety<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">21. Advanced Chaos Engineering Scenarios<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Scenario<\/th><th>Description<\/th><\/tr><\/thead><tbody><tr><td>Multi-region failover<\/td><td>Test traffic routing across regions during cloud outages<\/td><\/tr><tr><td>CDN failure<\/td><td>Remove CDN layer and check backend load tolerance<\/td><\/tr><tr><td>Service dependency chain<\/td><td>Simulate cascading failures across microservices<\/td><\/tr><tr><td>Database replication lag<\/td><td>Introduce lag in replicas and verify read consistency handling<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">22. Governance, Compliance, and Risk Management<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Maintain audit trails for experiments<\/li>\n\n\n\n<li>Assign role-based access to chaos tools<\/li>\n\n\n\n<li>Log every injected fault<\/li>\n\n\n\n<li>Align chaos with IT compliance policies<\/li>\n\n\n\n<li>Ensure experiments meet legal and operational guidelines<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">23. Future of Chaos Engineering<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>AI\/ML-powered chaos injection recommendations<\/li>\n\n\n\n<li>Integration with predictive observability platforms<\/li>\n\n\n\n<li>Standardization via CNCF-led initiatives<\/li>\n\n\n\n<li>Chaos Engineering-as-a-Service (CaaS) platforms on the rise<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">24. Resources, Tools, and Learning Path<\/h3>\n\n\n\n<p><strong>Books:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>&#8220;Chaos Engineering&#8221; by Casey Rosenthal &amp; Nora Jones<\/li>\n<\/ul>\n\n\n\n<p><strong>Courses:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Gremlin University<\/li>\n\n\n\n<li>LitmusChaos Certification<\/li>\n\n\n\n<li>LinkedIn Learning: Resilience Testing<\/li>\n<\/ul>\n\n\n\n<p><strong>Communities:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>CNCF Chaos Engineering Working Group<\/li>\n\n\n\n<li>Chaos Engineering Slack (via Gremlin)<\/li>\n\n\n\n<li>Reddit r\/devops<\/li>\n<\/ul>\n\n\n\n<p><strong>Open Source Projects:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>LitmusChaos<\/li>\n\n\n\n<li>Chaos Mesh<\/li>\n\n\n\n<li>PowerfulSeal<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">25. Conclusion and Key Takeaways<\/h3>\n\n\n\n<p>Chaos Engineering is about building confidence through controlled failure. It enables teams to anticipate and handle real-world outages, reducing impact and improving user experience.<\/p>\n\n\n\n<p><strong>Key takeaways:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Start small and safe<\/li>\n\n\n\n<li>Hypothesize and observe<\/li>\n\n\n\n<li>Automate and repeat<\/li>\n\n\n\n<li>Share and learn from results<\/li>\n<\/ul>\n\n\n\n<p>By institutionalizing chaos, you make resilience a feature\u2014not a hope.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n","protected":false},"excerpt":{"rendered":"<p>Chaos Engineering: A Complete Guide from Beginner to Advanced 1. Introduction to Chaos Engineering Chaos Engineering is the discipline of experimenting on a system in order to&#8230; <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_joinchat":[],"footnotes":""},"categories":[2],"tags":[],"class_list":["post-49727","post","type-post","status-publish","format-standard","hentry","category-uncategorised"],"_links":{"self":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/49727","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/comments?post=49727"}],"version-history":[{"count":3,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/49727\/revisions"}],"predecessor-version":[{"id":49730,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/49727\/revisions\/49730"}],"wp:attachment":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/media?parent=49727"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/categories?post=49727"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/tags?post=49727"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}