Get an overview of the course structure, meet the trainer, and understand how this course turns you from a tool user into a tool picker.
Days
Hours
Minutes
Starts on July 19th | Timings 7:30 - 9:00AM IST
25 Hours of hands-on training in English
Live Instructor-led Course
Real banking app lab (bankobserve360) from Day 1

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Live instructor led course
Course duration
7:30 - 9:30AM IST Class timings
Training in English
Our course is built around bankobserve360, a realistic multi-service banking application with real production failure modes — cache stampedes, connection-pool exhaustion, retry storms, OOMs, and the 3 AM DNS surprise — giving students hands-on incident experience from the very first week.
Lifetime Access to Recordings & Lab
Mock interviews
Real Banking App Lab with Chaos-Injection Hooks
1:1 Session with trainer
Real project from DAY-1
Daily Q&A support and Slack community
Job Referrals
Resume + LinkedIn Rewrite Guide
Runbook & Postmortem Templates + Cheat Sheets
We teach vendor-neutral observability, covering each tool in depth with hands-on labs on a real banking application.

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What will you get in 4 weeks from this course?
*Recording Session Will Be Provided

Get an overview of the course structure, meet the trainer, and understand how this course turns you from a tool user into a tool picker.
Join our free sessions in the first 3days to experience the teaching methodology and explore the bankobserve360 lab environment.


Set up your local Kubernetes lab (kind) with bankobserve360 deployed and verified end-to-end. Linux, networking, and Kubernetes refreshers — no cloud account needed.
Instrument the fleet with OpenTelemetry, build dashboards-as-code in Grafana, master PromQL and LogQL, and wire up end-to-end trace-to-log correlation.


Design a production-grade SLO with multi-window multi-burn-rate alerts, then run a simulated incident as Incident Commander — detect, triage, mitigate, and write a blameless postmortem.
Finish with a portfolio-ready observability platform on GitHub you link straight from your resume.
Course completion certificate.
Lifetime access to recordings, lab app, Slack community, and daily Q&A.

Linux & CLI refresher — the 7 journalctl invocations you'll run every week
Networking recap — HTTP status codes as a triage tool, latency vs tail-latency
Containers & Kubernetes for observability — OOMKilled vs Evicted, QoS classes
Lab setup: a working kind cluster with bankobserve360, verified end-to-endTag: Pre-Course Bootcamp
Introduction to DevOps and Linux Administration
Observability fundamentals — pillars, MELT, push vs pull, why OpenTelemetry is the biggest shift in a decade
Prometheus architecture — counter/gauge/histogram/summary, scraping, service discovery
Capstone lab: complete Bank Service Health dashboard (RED + USE + Golden Signals)Tag: Foundations + Metrics
Foundations + Metrics (~6 hrs)
Log aggregation — Loki vs ELK architecturally, LogQL filter ordering, retention tiering
Distributed tracing — spans, propagation, head vs tail sampling
Capstone lab: trace a slow payment end-to-end with Tempo + Jaeger and pivot to logsTag: Logs + Distributed Tracing
Logs + Distributed Tracing (~6.5 hrs)
SLI / SLO / SLA / error budgets — Google's multi-window multi-burn-rate alerting recipe
Alerting & on-call — three properties of good alerts, Alertmanager routing/inhibition/silences
Kubernetes observability deep dive + synthetic monitoring & RUM (blackbox-exporter, k6, Core Web Vitals)
SLOs, Alerting, Correlation (~6 hrs)
Continuous profiling — Pyroscope/Parca, flame graphs, trace vs profile correlation
eBPF observability — Cilium/Hubble, Pixie, Parca-agent
Incident response & runbooks — IC role, mitigation vs resolution, blameless postmortems
Advanced + Production + Capstone (~6 hrs)

Enroll in our flexible learning self-paced DevOps course! Designed for professionals, Gain practical skills with hands-on labs and real-world projects to master DevOps with AWS at your own pace.
Self-paced learning
Lifetime access to recorded sessions
Slack Community Support
Resume preparation
Placement assistance
Course Related Questions & Answers
The course is not free; however, you can attend a demo and the first week’s sessions at no cost. This allows you to decide whether to continue with the course.
The course fee is
₹24,490
Yes, we provide placement assistance, resume building, interview preparation, mock interviews, and internal job referrals.
Absolutely! We start from the basics of Linux and cover all tools from beginner to advanced levels. The only prerequisite is basic computer knowledge.
All sessions will be held virtually. We do not offer any offline sessions.
No worries! You will receive recordings of all sessions with lifetime access, allowing you to review the material anytime and anywhere.
We offer a daily 8-hour window (7 days a week) for query resolution through Slack and GitHub discussions. Additionally, the trainer will conduct a dedicated 30-minute QA session in the evening or morning, accommodating US time zones.
Yes, we cover two complete real-time projects during the course. The course is project-oriented, ensuring you gain practical, hands-on experience working on real projects.
Yes, you will need to create an AWS free tier account for practice purposes. Don’t worry; we will guide you on how to use AWS and share best practices to avoid accidental costs.
No, this course is conducted on weekdays only.
EMI options Available through Credit Cards (Only in India)