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School of Devops

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@schoolofdevops · Bangalore, India

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177Public Repos
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10Published Skills

Specialized Devops and Cloud Training School

Skills Distribution
DomainCloud & Comp...Kubernetes Inciden.. (40%)AWS Infrastructure.. (25%)Observability & Al.. (15%)Database Performan.. (10%)

Agent Skills by School of Devops

Showing 10 vetted skills indexed across 1 GitHub repositories.

Frequently Asked Questions About School of Devops

FAQPage Schema
What tasks can I perform using School of Devops skills?

You can diagnose Kubernetes pod, node, quota, and rollout failures; investigate RDS PostgreSQL slow queries via pg_stat_statements; check EC2 instance health through CloudWatch and CloudTrail; analyze CloudWatch alarm noise; and validate deployment readiness with canary monitoring and rollback criteria.

Who are these skills designed for?

These skills target SRE and DevOps engineers handling production incidents on Kubernetes and AWS. Typical users include on-call responders triaging CrashLoopBackOff pods, DBAs tuning slow PostgreSQL queries, and release engineers gating production deployments with canary health checks.

What are the runtime prerequisites for these skills?

Kubernetes skills require kubectl 1.28+ and KIND v0.31+ with a $NAMESPACE variable. AWS skills require aws cli v2 with $AWS_DEFAULT_REGION and resource IDs such as $EC2_INSTANCE_ID or $RDS_INSTANCE_ID. The RDS skill also needs the psql PostgreSQL client. All support HERMES_LAB_MODE=mock|live.

How do the Kubernetes diagnostic skills work in practice?

They perform read-only diagnosis of pod states, container events, logs, resource consumption, ResourceQuota and LimitRange saturation, node pressure conditions, and Deployment rollout history with ReplicaSet image diffs, then output self-healing or rollback recommendations across six documented failure modes.

Can I test these skills without a live production environment?

Yes. Every skill supports HERMES_LAB_MODE=mock for safe simulated execution and HERMES_LAB_MODE=live for real cluster or AWS account diagnosis, letting engineers practice incident workflows against mock data before running read-only checks against production Kubernetes namespaces or AWS resources.