Private corporate batches, live online cohorts and 1-on-1 mentoring in integrating every change into mainline daily, with a fast automated build and test that keeps it green — taught by a practitioner who runs it in production.
20 years across DevOps, SRE and Security · 10,000+ engineers trained · Trained teams at JPMorgan Chase, Verizon, Nokia and the World Bank
Principal DevOps Engineer & Architect
Rajesh teaches Continuous Integration as an integration discipline rather than a CI-server tutorial: integration frequency and branch lifetime, the commit stage and its ten-minute budget, build caching and test parallelisation, quality gates that block rather than warn, and the flaky-test problem that quietly destroys trust in a suite. Sessions cover the operational edges — monorepo build graphs, ephemeral agents, credentials in pipelines, and the stop-the-line rule that makes a green mainline actually mean something. Twenty years across DevOps, SRE and Security and 10,000+ engineers trained inform the judgement calls on where to spend build time and where to stop testing.
Twenty years across DevOps, SRE and Security, in principal and architect roles at PayPay, SoftwareAG, ServiceNow, JDA Software, Intuit, Adobe and others. He has trained engineers at JPMorgan Chase, Verizon, Nokia, the World Bank, VMware, Oracle, Mercedes-Benz and Airbus — more than 10,000 people personally. He teaches what he runs, not what he reads.
You are booked with a named engineer, and that is who turns up. Marketplaces and larger providers rotate whoever is free, so the person who sold you the agenda is rarely the person teaching it.
The same trainer is available for the next engagement, which matters when a team builds on what it learned last time.
Your batch is assigned a named trainer before it starts, and that is who teaches it. See the full faculty.
Engagements are matched on the tool, not the calendar. For Continuous Integration that means a trainer who has run it in production — integrating every change into mainline daily, with a fast automated build and test that keeps it green — rather than whoever is free that week. You are told who is teaching before you commit, and that person is on the discovery call that shapes the agenda.
Where a batch is large enough to need a second trainer, the pairing is declared up front. The lead trainer stays accountable for the syllabus and the assessment either way.
Principal DevOps Engineer & Architect
Twenty years across DevOps, SRE and Security in principal and architect roles at PayPay, SoftwareAG, ServiceNow, JDA Software, Intuit, Adobe, IBM/Emptoris, Ness, MindTree and Accenture. He has trained more than 10,000 engineers personally, at organisations including JPMorgan Chase, Verizon, Nokia, the World Bank, VMware, Oracle, Mercedes-Benz and Airbus. He teaches what he runs, not what he reads.
Teams of 8–30
Custom agenda, your timezone, onsite or online, NDA-friendly.
Request a quoteIndividual engineers
A private instructor and a curriculum built around your goal.
₹99,999Individuals who want peers
Scheduled batch, max 8 to 10 hours of live instruction.
₹34,999A private batch starts with a discovery call. We look at the stack you actually run — the CI system, the cloud, the constraints — and map the agenda onto it, so examples use your topology rather than a generic one.
Delivery is onsite at your premises, live online, or hybrid, scheduled around your release calendar rather than ours. Batches run 8 to 30 engineers.
Every attendee leaves with recordings, slides, lab repositories and a completion certificate. You receive an attendance and assessment report. Invoicing supports PO and GST.
Talk to us about a private Continuous Integration batchContinuous Integration is the practice of merging every developer's work into a shared mainline frequently — at least once a day — and verifying each merge with an automated build and test run. Its purpose is narrow and specific: to make integration a non-event. When changes are integrated hourly, conflicts are small and the last known-good state is minutes away. When they are integrated after three weeks on a branch, the merge becomes a project of its own and nobody can say which change broke what.
Continuous Integration is a behaviour, not a server. Running Jenkins or GitHub Actions on long-lived feature branches is not CI, because nothing is being continuously integrated; it is automated branch building. The practice requires short-lived branches or trunk-based development, a build that everyone can run and that runs on every commit, a fast enough feedback loop that developers wait for it — the classic budget is ten minutes — and an unambiguous team rule that a broken mainline is stopped and fixed before anything else proceeds.
The technical content of Continuous Integration sits in the commit stage: compile, unit and component tests, static analysis, dependency and secret scanning, and the production of a single versioned artefact that everything downstream will reuse. Getting that stage fast and trustworthy is most of the work — build caching, test parallelisation, dependency management, and the ruthless handling of flaky tests, because a suite that fails randomly trains a team to ignore red builds, at which point the practice has already collapsed.
Almost every engineering organisation has a CI server. Far fewer have continuous integration. The recognisable symptoms are a mainline that is red for hours at a time, feature branches that live for weeks, a build that takes forty minutes so nobody waits for it, and a test suite with a known list of tests that 'just fail sometimes'. The infrastructure exists; the feedback loop it was meant to provide does not.
That is expensive in a way that shows up in delivery data. Integration frequency drives merge conflict size, which drives rework; build duration drives how often developers commit; flaky tests drive whether anyone believes the result. Lead time for changes — one of the four widely used delivery metrics — is bounded from below by how long a commit takes to be verified.
It also matters more as codebases consolidate. Monorepos, shared component libraries and platform teams all increase the number of people integrating into the same place, and a CI setup that worked for six engineers falls over at sixty without build caching, test selection and disciplined ownership of build health. Engineers who can make a large, slow, unreliable pipeline fast and trustworthy again are hired specifically for that.
The practice as it was defined, and the difference between doing it and owning a CI server. Integration frequency as the core variable, why merge pain grows non-linearly with branch age, and the team agreements — commit daily, never leave mainline broken, fix before you push again — without which no amount of tooling helps.
Topics: Integration frequency and the cost of delayed merges · Mainline, and what 'the build is broken' must mean to a team · CI as a behaviour versus CI as a server · The stop-the-line rule and build ownership · Feedback latency and why ten minutes is the target · Signals that a team has CI infrastructure but not CI
The branching side of the problem. Trunk-based development and short-lived branches, why long-lived feature branches and CI are mutually exclusive, and the techniques that let unfinished work live safely on mainline — feature toggles, branch by abstraction and expand-contract changes.
Topics: Trunk-based development and short-lived branches · Why Gitflow and CI pull in opposite directions · Feature toggles for hiding incomplete work · Branch by abstraction for large refactors · Expand and contract for interface and schema change · Pull request size, review latency and merge queues · Preventing semantic conflicts that merge cleanly and break anyway
The stage every change passes through first, and the one that must be fast. Compilation, unit and component tests, static analysis, and the single most important structural rule in the whole pipeline: build the artefact once, version it, and never rebuild it downstream.
Topics: Designing a commit stage and what belongs in it · Build once, version and promote the same artefact · Immutable artefacts, versioning schemes and metadata · Artefact repositories: Artifactory, Nexus, container registries · Reproducible builds and dependency pinning · Fail-fast ordering: cheapest, most likely to fail, first · Build agents, executors and ephemeral runners
Which tests belong in CI and which do not. The test pyramid as an economic argument about feedback cost, component and contract tests as the layer most teams are missing, and the practical mechanics of running a large suite quickly — parallelisation, sharding and test selection.
Topics: The test pyramid as a feedback-cost argument · Unit, component and integration tests: boundaries and cost · Contract testing to avoid slow end-to-end coverage · Test doubles, fixtures and deterministic test data · Parallel execution, sharding and distributing across agents · Test impact analysis and change-based selection · What deliberately does not belong in the commit stage
A gate that produces a report changes nothing; a gate that fails the build changes behaviour. Static analysis and coverage thresholds, dependency and licence scanning, secret detection, and the practical problem of introducing gates into a legacy codebase without stopping all work on day one.
Topics: Static analysis and SonarQube quality gates · Coverage thresholds and their honest limits · Dependency scanning, SBOM generation and licence checks · Secret detection in commits and history · SAST at the commit stage versus later stages · Ratcheting: new-code gates on a legacy codebase · Gate exceptions, ownership and expiry
What changes when it is sixty repositories rather than six. Pipeline definitions in version control, shared libraries and reusable workflows, monorepo build graphs and affected-target detection, caching strategy, and the agent infrastructure that has to keep up with the load.
Topics: Pipeline as code: Jenkinsfile, GitLab CI, GitHub Actions workflows · Shared libraries, templates and reusable workflows · Monorepo build graphs and building only affected targets · Remote build caching and incremental builds · Ephemeral, containerised and autoscaling build agents · Credentials, secrets and least privilege in pipelines · Supply chain integrity: artefact signing and provenance
The maintenance discipline that decides whether CI survives its second year. Flaky tests and why tolerating them is fatal, quarantine and repair workflows, and the measurements that make build health a visible, owned property rather than everybody's background irritation.
Topics: Sources of flakiness: time, ordering, concurrency, shared state · Detecting flakiness with reruns and historical analysis · Quarantine policy, ownership and repair deadlines · Build duration, failure rate and time-to-green as tracked metrics · Build health dashboards and team-level ownership · Retry policies and why blanket retries hide real defects · Integration frequency and lead time as outcome measures
We rebuild the agenda around the tools you actually run.
Request a custom agendaTake a three-week feature branch, decompose it into mainline-safe increments using feature toggles and branch by abstraction, and integrate all of it within a session.
Profile a slow pipeline, then apply dependency caching, incremental builds, fail-fast ordering and test parallelisation until the commit stage reports inside the budget.
Restructure a pipeline that rebuilds at every stage into one that produces a single versioned artefact, publishes it to a repository and promotes the identical binary onward.
Introduce quality, dependency and secret-scanning gates to a repository with thousands of existing issues using new-code ratcheting, without halting the team's work.
Run a suite repeatedly to identify non-deterministic tests, diagnose each cause — shared state, ordering, timing, concurrency — fix two and quarantine the rest under policy.
Deliver a standardised, templated CI setup across three repositories with shared pipeline logic, caching, gates and a build health dashboard, and report the measured before-and-after.
Billed yearly at ₹9,996
Max 8 to 10 hours of live instruction
Full program, private instructor
8–30 engineers · custom agenda · onsite or online · PO and GST invoicing
Refunds. If we cancel or postpone a cohort, you get a full refund within 15 days. There is no money-back guarantee otherwise.
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Certificate of completion
Helped to understand more on overall DevOps concepts.
Got good lab sessions which kept the new DevOps tool learnings to the point and it helped a lot in my career.
I recently did a SRE Session with Rajesh Kumar from DevOps School and the session was great. Right from 1st day till day 15, we had a very interactive session. Rajesh clarified our doubts and the tool demos were excellent without any hiccups. He simplified the concepts while sticking to the content with a fine balance between theory and practice. Am convinced he is one of the best trainers for SRE & DevOps concepts.
The Rundeck developer session was excellent and highly engaging. I appreciated how well the session was structured, with the theoretical concepts explained clearly and in simple terms. What stood out most to me was the demo — it was both informative and enjoyable. I especially liked how Rajesh walked us through not only the happy path but also the sad path, showcasing common issues and sharing practical troubleshooting tips.
Rajesh's experience and knowledge are exceptional and we learnt invaluable practical knowledge which we can apply in our production environment. Incredibly friendly and gave us a fantastic insight both in-depth and at a high level of the Rundeck product.
Great learning experience from a very knowledgeable instructor with well-prepared course notes. The lab exercises on AWS instance work well to learn the hands-on side of the course.
| What matters | YouTube + blogs | Generic online course | Freelance marketplace | DevOpsSchool |
|---|---|---|---|---|
| Named practitioner | No | Rarely | Varies per booking | Yes — same trainer each time |
| Production experience | Unknown | Unknown | Unverified | 20 years, named employers |
| Custom agenda | No | No | Sometimes | Built from your stack |
| Onsite delivery | No | No | Sometimes | Yes |
| Lab environment | None | Sandbox that expires | Varies | Your own cloud — skill goes with you |
| Assessment | None | Quiz | Rarely | Assignments + capstone per module |
| Per-attendee certificates | No | Sometimes | Rarely | Yes |
| Corporate invoicing | No | Limited | Varies | PO and GST |
| Post-training support | None | Forum, time-limited | None | Lifetime forum access |
Tell us the team, the stack and the timeline. You'll get a straight answer, not a sales sequence.
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