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Troubleshooting Kubernetes Applications Michael Hausenblas @mhausenblas
 Developer Advocate, Red Hat
 2018-10-03, O’Reilly Velocity NYC troubleshooting.kubernetes.sh

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Hit me up on Twitter: @mhausenblas 2 Scope • Focusing on prototyping, developing, and testing applications
 with Kubernetes from an appops perspective • Beware, the talk is not really (much) about … • troubleshooting installation issues • performance testing or optimising containerized microservices • SRE-style troubleshooting (check out what Googlers say on this topic)

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Hit me up on Twitter: @mhausenblas

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Hit me up on Twitter: @mhausenblas 4

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Hit me up on Twitter: @mhausenblas 5 Monoliths vs. microservices monolith v1 monolith v2 time µS1
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Hit me up on Twitter: @mhausenblas 6 Moving parts—physical view

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Hit me up on Twitter: @mhausenblas 7 Moving parts—logical view

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Hit me up on Twitter: @mhausenblas 8 Honestly, not much new under the sun … www.computerhistory.org/tdih/september/9/

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Hit me up on Twitter: @mhausenblas 9 Honestly, not much new under the sun … www.ibiblio.org/harris/500milemail.html

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TOP 10 failures

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Hit me up on Twitter: @mhausenblas

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Hit me up on Twitter: @mhausenblas 12 The TOP 10 list 1. invalid YAML specification (EXAMPLE) 2. can’t reach service/pod (EXAMPLE 1, EXAMPLE 2) 3. wrong container image (EXAMPLE) 4. no access to container registry (EXAMPLE) 5. supposedly long-running application exits (EXAMPLE)

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Hit me up on Twitter: @mhausenblas 13 The TOP 10 list 6. missing/bad config or secret ( EXAMPLE) 7. failed mounts (EXAMPLE) 8. lifecycle issues/probes fail (EXAMPLE) 9. wrong or missing permissions (EXAMPLE) 10. looking at the wrong place aka: where is localhost? (EXAMPLE)

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Poking around

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Hit me up on Twitter: @mhausenblas Observe What’s in the logs? What the baseline? Orient Formulate hypotheses. Don’t jump to conclusions. Decide Sort hypotheses by likelihood.
 Pick one of the hypotheses. Act Test the hypothesis you picked. If confirmed: fix it, else: continue. OODA loop

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Hit me up on Twitter: @mhausenblas 16 The How • Using kubectl get events • Using kubectl describe • Using kubectl exec • Using kubectl logs • Full-blown observability approaches (note: we get back to that later)

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Apps run in pods, and pods sometimes fail …

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Hit me up on Twitter: @mhausenblas 18 What’s (in) a pod?

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Hit me up on Twitter: @mhausenblas control plane worker node kubectl apply kubelet asks container runtime via CRI to launch container(s) etcd happy? API Server stores desired state Scheduler sees new pod, selects node Scheduler assigns pod to a fitting node container runtime pulls image container runtime runs images kubelet takes over pod lifecycle (probes) pod runs until deleted or evicted garbage collection ask cluster admin NO YES does the pod get scheduled? fork out more $$$ container runtime happy? ask cluster admin can access container registry? fix access to registry is container starting up? (init containers) debug app probes fine? no leaking resources? soak testing, monitoring YES NO YES YES YES YES NO NO NO NO kubelet watches API server and notices new pod 1 2 3 4 5 6 7 8 9 container crashing after startup? NO YES debug app

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Hit me up on Twitter: @mhausenblas 20 I think I’m having image issues … kubectl get events to the rescue?

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hands-on time!

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Hit me up on Twitter: @mhausenblas 22 Dunno, just keeps crashing … kubectl describe and exec

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hands-on time!

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Hit me up on Twitter: @mhausenblas 24 Oh my Lanta, something’s wrong with the app … kubectl logs

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hands-on time!

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Storage

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Hit me up on Twitter: @mhausenblas 27 What and how • Storage in Kubernetes (CSI) • Failure modes • See stateful.kubernetes.sh

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hands-on time!

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Network

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Hit me up on Twitter: @mhausenblas 30 What and how • Container networking in Kubernetes (CNI) • Failure modes • See mhausenblas.info/cn-ref/

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Hit me up on Twitter: @mhausenblas 31

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hands-on time!

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Security

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Hit me up on Twitter: @mhausenblas 34 Access control (RBAC) and policies • Use kubectl auth can-i to check RBAC permissions • Make yourself familiar with: • Pod Security Policies, might constrain your app too much • Network Policies, might be too strict for your app’s communication needs • See kubernetes-security.info

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hands-on time!

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Observability

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Hit me up on Twitter: @mhausenblas 37 Metrics node container runtime app alerts dashboards storage event router

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Hit me up on Twitter: @mhausenblas 38 Metrics • Use industry standards in cloud native land: Prometheus + Grafana • Out-of-the-box low-level metrics (CPU, memory) • Options for app-specific (custom) metrics: • instrumentation of the app • service mesh-based approaches (aka: magic), for example Linkerd2

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Hit me up on Twitter: @mhausenblas 39 kudos to demo.robustperception.io

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Hit me up on Twitter: @mhausenblas 40 kudos to linkerd.io/2

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Hit me up on Twitter: @mhausenblas 41 kudos to linkerd.io/2 and grafana.com

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Hit me up on Twitter: @mhausenblas 42 kudos to okd.io

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Hit me up on Twitter: @mhausenblas 43 Aggregated logs

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Hit me up on Twitter: @mhausenblas 44 Aggregated logs • In app, log to stdout or if you can’t use an adapter • Use the industry standard in cloud native land: ELK/EFK stack

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Hit me up on Twitter: @mhausenblas 45 kudos to okd.io and elastic.co

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Hit me up on Twitter: @mhausenblas 46 Distributed tracing • Roots: need to overcome limitations of “time-synced logs” • Specifications: OpenCensus and OpenTracing • Tooling: Zipkin, Jaeger, Stackdriver • A must-have in a microservices setup

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Hit me up on Twitter: @mhausenblas

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hands-on time!

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Vaccination

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Hit me up on Twitter: @mhausenblas 50 Quizzie time! You wrote an application server. For load-balancing purposes, where would you put a reverse proxy such as NGINX? A. Into the container (same Dockerfile) B. Into a side car container (same pod) C. Into a separate pod

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Hit me up on Twitter: @mhausenblas 51 Proactive measures Architect your apps the cloud native way by … • knowing and using the Kubernetes primitives (services, deployments) • implementing retries & timeouts (in-tree or via service mesh) • avoiding hardcoded (start-up) dependencies • listening on 0.0.0.0 (not 127.0.0.1)

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Hit me up on Twitter: @mhausenblas 52 Proactive measures • Apply chaos engineering as long as all
 is well and learn from it where and how
 your system fails • Provide debug tools in image, but also: footprint, security! • Automate all the things: Autoscaler, Brigade, Draft, Forge, Helm, knative, ksync, odo, Operators, Skaffold, watchpod, etc.

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hands-on time!

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Resources

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Hit me up on Twitter: @mhausenblas 55 Liz Rice & Michael Hausenblas Operating Kubernetes Clusters and Applications Safely Kubernetes Security

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Hit me up on Twitter: @mhausenblas 56 • Kubernetes Troubleshooting site • GKE Troubleshooting docs • Debugging microservices - Squash vs. Telepresence • Debugging and Troubleshooting Microservices in Kubernetes with Ray Tsang (Google) • Troubleshooting Kubernetes Using Logs • Debug a Go Application in Kubernetes from IDE • Troubleshooting Kubernetes Networking Issues • Video: CrashLoopBackoff, Pending, FailedMount and Friends: Debugging Common Kubernetes Cluster (KubeCon NA 2017) • Slide deck: Evolution of Monitoring and Prometheus Articles

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Hit me up on Twitter: @mhausenblas 57 • 10 Most Common Reasons Kubernetes Deployments Fail: Part 1 and Part 2 • Kubernetes Application Operator Basics • Kubernetes: five steps to well-behaved apps • Kubernetes Best Practices • Developing on Kubernetes • Debugging Microservices: How Google SREs Resolve Outages • Debugging Microservices: Lessons from Google, Facebook, Lyft • Troubleshooting Java applications on OpenShift • Debugging Kubernetes PVCs Articles

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Hit me up on Twitter: @mhausenblas 58 • kubernetes.io/docs/tasks/debug-application-cluster/debug-application/ • kubernetes.io/docs/tasks/debug-application-cluster/ • kubernetes.io/docs/tasks/debug-application-cluster/debug-init-containers/ • kubernetes.io/docs/tasks/debug-application-cluster/debug-pod-replication-controller/ • kubernetes.io/docs/tasks/debug-application-cluster/debug-service/ • kubernetes.io/docs/tasks/debug-application-cluster/debug-stateful-set/ • kubernetes.io/docs/tasks/debug-application-cluster/local-debugging/ Official Kubernetes docs

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