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WeAreDevelopers LIVE • Dec 3, 2020

5 steps for running a Kubernetes environment at scale

Stijn Polfliet

Hitting memory limits will instantly terminate your production pods. Master a five-step observability strategy to troubleshoot crash loops, monitor telemetry, and confidently run Kubernetes at scale.

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#1 about 6 min

Introduction to the five-layer Kubernetes observability model

A high-level five-layer framework helps teams monitor and scale containerized environments reliably.

#2 about 6 min

Identifying failing pods visually in the cluster explorer

Visualizing node and pod health provides immediate context on pending or crash-looping workloads.

#3 about 8 min

Managing node capacity using resource requests and limits

Tracking resource consumption alongside configured request limits prevents node starvation and unexpected out-of-memory errors.

#4 about 3 min

Using smaller container images for performance and security

Switching to lightweight distribution bases like Alpine Linux improves build times and minimizes potential security vulnerabilities.

#5 about 5 min

Controlling pod routing with readiness and liveness probes

Implementing readiness and liveness probes allows the scheduler to control traffic routing and automated pod restarts accurately.

#6 about 3 min

Centralizing Kubernetes microservice log collection with Fluent Bit

Forwarding microservice log streams via lightweight log shippers centralizes log search and debugging.

#7 about 10 min

Tracing distributed communication pathways across Kubernetes microservices

Injecting trace identifiers into HTTP headers reveals latency bottlenecks across complex inter-service communication paths.

#8 about 11 min

Visualizing Prometheus open metrics using custom Grafana dashboards

Ingesting open-source metric endpoints into a centralized platform unifies query workflows alongside distributed traces and events.

#9 about 9 min

Deploying the Kubernetes observability stack using Helm charts

Installing specialized monitoring components via package managers ensures continuous visibility alongside dynamic application deployments.

Matching moments

12:33 min

Exploring advanced observability stacks and distributed infrastructure challenges

Pawel Piwosz · LIVE

1:59 min

Orchestrating with Kubernetes against Docker and accessing slides

Philipp Krenn · WWC 2022

1:39 min

Introduction to Kubernetes security challenges and opportunities

Marc Nimmerrichter · WWC 2022

3:32 min

Transitioning from monolith architectures to microservices and Kubernetes

Liviu Costea · LIVE

5:04 min

Visualizing Kubernetes for alternative and creative learning styles

Aurélie Vache Aurélie Vache · WWC Europe 2026

3:01 min

Evaluating auto-scalable infrastructure and capacity resource requirements

Luís Ventura Luís Ventura · WWC 2024

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