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DevOps Trainer in Chennai

Private corporate batches delivered onsite across Chennai, or live online in IST (UTC+5:30) — taught by a practitioner who runs DevOps in production.

20 years across DevOps, SRE and Security · 10,000+ engineers trained · Trained teams at JPMorgan Chase, Verizon, Nokia and the World Bank

DeliveryOnsite at your office · Online
FormatsCorporate · 1-on-1 · Cohort
AgendaCustomisable
TimezoneIST (UTC+5:30)
Engineers we've trained work at
JPMorgan ChaseBank of AmericaWells FargoVerizonNokiaWorld BankGE HealthcareVMwareOracleQualcommMercedes-BenzAirbusDatadogSplunkDeloitteInfosysWiproCapgemini
# who teaches it

Your DevOps trainer

Rajesh Kumar

Principal DevOps Engineer & Architect

DevOps transformationSRE adoptionTeam enablement20 years in productionPrincipal / architect roles10,000+ engineers trainedM.Tech BITS Pilani25+ certifications

Rajesh teaches DevOps for build-heavy estates: repository strategy for large, long-lived codebases, build caching and agent capacity that cut a ninety-minute cycle, test selection and flake triage for large suites, containerising an established Java estate without rewriting it, and release traceability from requirement through commit and build to the artefact that shipped. Sessions run live against a working pipeline, and Chennai batches are scheduled in IST around release and shift calendars rather than in spite of them.

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.

One practitioner, not a bench

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.

18,000+certified learners
500+corporate batches delivered
50+countries served
100+certification programmes
# faculty

Who delivers DevOps engagements

Your batch is assigned a named trainer before it starts, and that is who teaches it. See the full faculty.

How your DevOps trainer is chosen

Engagements are matched on the tool, not the calendar. For DevOps that means a trainer who has run it in production — delivery engineering for build-heavy product and manufacturing estates — long builds, test farms, shift operations and traceable releases — 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.

Rajesh Kumar

Principal DevOps Engineer & Architect

India20 yrsLead trainer

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.

Gaurav Aggarwal

IndiaInstructorCoach

Harsh Mehta

IndiaInstructorCoach

Kapil Gupta

IndiaInstructorCoach

Kunal Jain

IndiaInstructorCoach

Nikhil Gupta

IndiaInstructorCoach

Pranab Kumar

IndiaInstructorCoach

Rohit Ghatol

IndiaInstructorCoach

Amit Agarwal

IndiaInstructorCoach

Anil Kumar

IndiaInstructorCoach

Balachandran Anbalagan

IndiaInstructorCoach

Durga Prasad

IndiaInstructorCoach

# how to engage

Four ways to work with this trainer

Private corporate batch

Teams of 8–30

Custom agenda, your timezone, onsite or online, NDA-friendly.

Request a quote

1-on-1 mentoring

Individual engineers

A private instructor and a curriculum built around your goal.

₹99,999

Live & Interactive cohort

Individuals who want peers

Scheduled batch, max 8 to 10 hours of live instruction.

₹34,999

Self-paced video

Self-starters

Full LMS access — 20+ courses and 50+ tools included.

₹833/mo
# private batches

Private DevOps training for your team

A 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.

Onsite delivery in Chennai runs at your own office, with the OMR corridor from Perungudi through Sholinganallur, Siruseri, Guindy, Taramani, Ambattur and Porur covering most engagements; travel within the city is included in the quote and only outstation travel to a plant or a second location is itemised. You provide the room, network access and a screen, and the trainer brings the lab, materials, assessment and certificates. Live online delivery runs in IST (UTC+5:30) and is often preferred where a team splits across two sites. Batches run 8 to 30 engineers and are commonly scheduled as two blocks rather than a continuous week so a release window is not disturbed, with a repeat sitting where operations staff work rotating shifts. Quotes are issued in INR with GST applied and purchase orders supported.

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 DevOps batch

What you provide vs what we bring

  • You: the room or the call, and the engineers
  • Us: trainer, agenda, labs, assessment, certificates
  • Labs: we guide your team through provisioning their own free-tier cloud environment — the skill goes with them
# the technology

What is DevOps?

DevOps is the practice of making software delivery one continuous, owned flow rather than a sequence of departmental hand-offs. The Chennai version of that problem has a distinctive character, because a large share of the engineering here is not a web service that deploys forty times a day. It is telecom and networking software, embedded and automotive systems, enterprise product suites, and the platforms that sit alongside factories and supply chains — codebases where a full build takes hours and a release is coupled to hardware, a plant calendar or a customer's own upgrade window.

In that setting the DevOps questions change. Feedback speed is dominated by build and test time rather than deployment time, so caching, incremental builds, agent capacity and test selection matter more than another deployment strategy. Traceability matters more than throughput, because a release may have to be tied back to a requirement, a test result and an approval for a customer or a quality process.

The practices are still the standard set — version control at scale, continuous integration, artefact management, configuration as code, containerisation and observability. What earns its place in a Chennai engagement is the ability to apply them to a large, long-lived codebase with real hardware dependencies, and to leave behind a pipeline that stays fast as the codebase and the team keep growing.

Why this skill matters now

Chennai's engineering employment is anchored in organisations that build products rather than only operate them: network equipment and telecom software, automotive and component engineering, enterprise product suites, healthcare and insurance platforms, and captive centres doing genuine research and development rather than support. Those organisations are all under pressure to release more often without loosening the quality obligations that come with shipping to enterprises, regulators or physical products.

That produces a very specific hiring pattern. Teams are not looking for someone who can install a CI server; they already have one, usually several, and often a build that has quietly grown to ninety minutes. They are looking for engineers who can cut feedback time on a large codebase, keep a test farm honest, containerise services that were written long before containers, and prove what went into a release.

Demand is also being pulled by the shift to product-line delivery across manufacturing and mobility employers in Tamil Nadu, where software increasingly ships with the physical product. Getting a release wrong there is expensive in a way it is not for a consumer application, so the premium sits on discipline and evidence rather than raw speed.

DevOps training
# outcomes

What your team can do afterwards

Diagnose where feedback time actually goes on a large codebase, and cut it with caching, incremental builds and parallelism rather than more hardware
Choose a repository strategy for a long-lived codebase — monorepo, multi-repo, submodules or large-file storage — and defend the choice
Run a build farm that stays predictable: agent pools, ephemeral workers, artefact retention and reproducible toolchains
Bring a large test suite under control with selection, parallel execution, quarantine and a working flake-triage process
Containerise an established Java or C++ service without rewriting it, including configuration externalisation and memory settings that behave under limits
Automate infrastructure and environment builds so a test environment can be recreated rather than repaired
Design observability that a shift-based operations team can act on at three in the morning
Produce release traceability linking requirement, commit, build, test evidence and approval to the artefact that shipped
# curriculum

8 modules. Live demos in a real lab, not slides.

01Where the time actually goesLive & Interactive5 hrs · 2 assignments · 1 capstone

Measuring before changing. Instrumenting the delivery path on a real codebase, separating build time from queue time from test time from approval waiting, and choosing the change that returns the most feedback speed per unit of effort.

Topics: Instrumenting the delivery path end to end · Queue time versus execution time · Where approvals and hand-offs add latency · Baseline metrics for a large codebase · Prioritising by return rather than novelty · Setting a realistic target for cycle time

  • Assignments: (1) Instrument one pipeline and produce a time breakdown; (2) Identify the top three contributors to feedback delay
  • Capstone: Produce a measured improvement plan for one product's delivery cycle
02Version control for a long-lived codebaseLive & Interactive5 hrs · 2 assignments · 1 capstone

Repository strategy when the code is older than the team. Monorepo against multi-repo trade-offs, submodules and vendored dependencies, large binary handling, keeping history usable, and a branching model that supports both mainline work and supported customer releases.

Topics: Monorepo and multi-repo trade-offs at scale · Submodules, subtrees and vendored dependencies · Large file handling and repository size · Long-lived support branches and backporting · Review load and ownership on a large codebase · Migrating history without losing traceability

  • Assignments: (1) Design a branching model covering mainline and two supported releases; (2) Reduce repository clone time measurably
  • Capstone: Publish a version-control standard for a product with supported older releases
03Build engineeringLive & Interactive5 hrs · 2 assignments · 1 capstone

The module that usually pays for the course. Dependency and build caching, incremental and remote builds, agent pools and ephemeral workers, reproducible toolchains, and artefact retention that does not fill the disk every quarter.

Topics: Dependency and build caching strategies · Incremental and parallel builds · Agent pools, labels and ephemeral workers · Reproducible toolchains and pinned versions · Artefact repositories and retention policy · Diagnosing a build that is slow for the wrong reason

  • Assignments: (1) Halve the build time of a real project using caching and parallelism; (2) Convert a static agent to an ephemeral one and compare reliability
  • Capstone: Deliver a measurably faster, reproducible build with documented cache behaviour
04Test capacity, selection and flake controlLive & Interactive5 hrs · 2 assignments · 1 capstone

Large suites and shared hardware. Which tests run on which trigger, parallel execution and sharding, quarantine and flake triage, managing shared rigs and licensed tools, and separating gated tests from nightly ones.

Topics: Test selection by change impact · Parallel execution and sharding · Flake detection, quarantine and triage · Shared hardware and licensed tool scheduling · Gated versus nightly suites · Reporting test health as a first-class metric

  • Assignments: (1) Introduce impact-based test selection on a real suite; (2) Set up flake detection and quarantine a genuinely unstable test
  • Capstone: Deliver a test strategy that gates meaningfully without blocking the team
05Containerising an established estateLive & Interactive5 hrs · 2 assignments · 1 capstone

Moving long-lived services into containers without a rewrite. Image design for legacy applications, externalising configuration, memory and thread settings that behave under container limits, service dependencies, and an honest assessment of what should not be containerised.

Topics: Image design for established applications · Externalising configuration and secrets · Runtime settings under container limits · Handling stateful and licence-bound components · Service dependencies and start-up ordering · What to leave on virtual machines and why

  • Assignments: (1) Containerise an existing service and match its behaviour under limits; (2) Externalise configuration from an application that hardcodes it
  • Capstone: Deliver a containerised service with parity evidence against the original deployment
06Environments as codeLive & Interactive5 hrs · 2 assignments · 1 capstone

Recreating environments instead of repairing them. Infrastructure as code for test and staging, configuration management for the virtual machine estate, seeded test data, and environment lifecycle so integration environments stop being scarce shared resources.

Topics: Infrastructure as code for test environments · Configuration management for the existing estate · Test data seeding and refresh · Environment lifecycle and reclamation · Environment parity with production · Removing the shared-environment bottleneck

  • Assignments: (1) Recreate a test environment from code and destroy it afterwards; (2) Automate a data refresh with masking applied
  • Capstone: Deliver on-demand environments that a team can create and discard without a ticket
07Release trains, freezes and shift operationsLive & Interactive5 hrs · 2 assignments · 1 capstone

Releasing alongside plants, customers and support commitments. Release calendars against plant and customer windows, staged rollout, rollback rehearsal, and observability designed for operators working rotating shifts rather than for engineers reading dashboards.

Topics: Release calendars against plant and customer windows · Staged rollout and canary in a constrained estate · Rollback rehearsal and decision criteria · Alerting tuned for rotating shifts · Runbooks and shift handover · Incident review that produces corrective actions

  • Assignments: (1) Rehearse a rollback and record the decision criteria used; (2) Rewrite an alert so a shift operator can act on it unaided
  • Capstone: Publish a release and rollback procedure that fits your operational calendar
08Traceability and release evidenceLive & Interactive5 hrs · 2 assignments · 1 capstone

Proving what shipped. Linking requirement to commit to build to test result to approval, generating release notes and bills of materials automatically, retaining evidence for the life of a product, and preparing for a customer or quality audit.

Topics: Requirement and issue linkage in commits · Automated release notes and change logs · Bill of materials per release · Retaining evidence across a product lifetime · Access and approval records · Preparing for a customer or quality audit

  • Assignments: (1) Generate release notes and a bill of materials automatically; (2) Trace one shipped artefact back to its originating requirement
  • Capstone: Deliver a release package whose full provenance can be reconstructed from artefacts

Need this mapped to your stack?

We rebuild the agenda around the tools you actually run.

Request a custom agenda
# hands-on

Labs and capstones your engineers actually build

LAB · BUILD

Ninety minutes to under thirty

Profile a slow build on a real project, then attack it with dependency caching, incremental compilation, parallelism and agent changes — and prove the improvement is repeatable.

build cacheparallelismagents
LAB · TESTS

Tame a large suite

Introduce impact-based selection and sharding on a big test suite, detect and quarantine genuine flakes, and publish a test-health report the team will trust.

test selectionflaky testssharding
LAB · CONTAINERS

Legacy service, same behaviour

Containerise an established application, externalise its configuration, tune runtime settings under memory limits, and prove parity against the original deployment.

dockerjvmparity
LAB · ENVIRONMENTS

Environment on demand

Create a full test environment from code with seeded and masked data, run a suite against it, then destroy it and recreate it identically.

terraformansibletest data
LAB · TRACEABILITY

From shipped artefact back to requirement

Automate release notes and a bill of materials, then reconstruct the complete provenance of one release from stored artefacts alone.

traceabilityrelease notessbom
CAPSTONE · DELIVERY

Faster cycle, stronger evidence

Take one product from measured baseline to an improved cycle time with test gating, on-demand environments, rehearsed rollback and full release traceability.

capstonecycle timeevidence
# ecosystem

The tools DevOps sits next to

Git
Jenkins
Maven
Gradle
Nexus
SonarQube
Docker
Ansible
Terraform
Kubernetes
Prometheus
Grafana

Who this is for

  • Build and release engineers responsible for long-running builds and artefact management
  • Product engineering teams shipping enterprise or embedded software from Chennai
  • DevOps engineers modernising an estate of long-lived Java or C++ services
  • QA and test-infrastructure engineers managing large suites and shared rigs
  • Infrastructure engineers supporting test environments for several product teams
  • Engineering managers accountable for release predictability and audit evidence

Pre-requisites

  • Comfortable on a Linux command line and with basic shell scripting
  • Working knowledge of Git, including branching and merge conflict resolution
  • Familiarity with a build tool such as Maven, Gradle, Make or MSBuild
  • Some exposure to a CI system, whichever one your organisation runs
  • Access to a few VMs or free-tier cloud instances for lab work
# chennai

DevOps training in Chennai

Chennai's engineering demand is dominated by organisations that build and ship products rather than only operate services. Telecom and networking software, automotive and component engineering tied to the manufacturing belt along the Oragadam and Sriperumbudur corridors, enterprise product suites built by long-established local software companies, healthcare and pharmaceutical technology, insurance and banking back-office platforms, and captive research and development centres for global equipment makers. Software here frequently ships alongside hardware or into a customer's own upgrade cycle, which sets the tone for every delivery conversation.

The consequences show up consistently in engagements. Codebases are large and long-lived, with supported releases going back years, so branching strategy and backporting are live concerns rather than theory. Builds are measured in tens of minutes, and the fastest available win is usually caching and agent strategy rather than a new tool. Test estates include shared hardware and licensed instruments that cannot simply be parallelised. Java and C++ dominate, containerisation is a migration rather than a default, and release calendars are negotiated against plant schedules and customer windows. Chennai teams also tend to ask for traceability early — linking requirement to commit to build to approval — because their customers or quality processes ask for it first.

Where we deliver onsite

GuindyOMR — Perungudi and ThoraipakkamSholinganallurSiruseri (SIPCOT IT Park)TaramaniAmbatturPorurEkkattuthangal

Teams trained in Chennai

NokiaRamcoAstraZenecaMphasisCognizant
# pricing

Straightforward pricing, quoted in INR

Every plan includes 1 year of full LMS access — not just this course, the entire DevOpsSchool LMS: 20+ courses, 50+ tools, videos, quizzes, assignments and projects.

Self-paced video

₹833/mo

Billed yearly at ₹9,996

Enroll now

1-on-1 mentorship

₹99,999

Full program, private instructor

Enroll 1-on-1

Corporate / private batch

8–30 engineers · custom agenda · onsite or online · PO and GST invoicing

Get a custom quote

Refunds. If we cancel or postpone a cohort, you get a full refund within 15 days. There is no money-back guarantee otherwise.

Terms. Course material remains licensed to the attendee. Read the terms.

Your data. We don't share it with third parties. Privacy policy.

Every attendee gets a verifiable certificate

  • Issued per attendee on completion
  • Verifiable at devopsschool.com/certificates
  • Hard copy available on request
  • Corporate batches receive an attendance and assessment report
DevOpsSchool

DevOps Training

Certificate of completion

# feedback

What engineers say

4.4 / 5 from 26 reviews on Trustpilot.

★★★★☆
Helped to understand more on overall DevOps concepts.
Pankaj Malhotra · Trustpilot
★★★★★
Got good lab sessions which kept the new DevOps tool learnings to the point and it helped a lot in my career.
robin son · Trustpilot
★★★★★
Basics explanation was exemplary from Rajesh where he dealt with complicated topics to be simple. Great learning stuff personally for me.
Krishna Mohan Yelleti · Trustpilot
★★★★★
Very detailed explanation and has lots of patience in attending the questionnaire. Thanks again for your wonderful sessions.
Uttam Samudrala · Trustpilot
★★★★★
Good discussion, helped us to understand different tools in SRE.
Prashant Saxena · Trustpilot
★★★★★
I took Terraform training with the tutor named Mithilesh. I requested to tailor the course curriculum for my needs. He did an excellent job of showing me how to write the Terraform script per the instructions provided.
jason smith · Trustpilot
# comparison

Why a named practitioner beats a marketplace listing

What mattersYouTube + blogsGeneric online courseFreelance marketplaceDevOpsSchool
Named practitionerNoRarelyVaries per bookingYes — same trainer each time
Production experienceUnknownUnknownUnverified20 years, named employers
Custom agendaNoNoSometimesBuilt from your stack
Onsite deliveryNoNoSometimesYes
Lab environmentNoneSandbox that expiresVariesYour own cloud — skill goes with you
AssessmentNoneQuizRarelyAssignments + capstone per module
Per-attendee certificatesNoSometimesRarelyYes
Corporate invoicingNoLimitedVariesPO and GST
Post-training supportNoneForum, time-limitedNoneLifetime forum access
# questions

Frequently asked

Do you deliver onsite in Chennai?
Yes. Private batches run at your own office anywhere in the city — the OMR corridor, Guindy, Ambattur, Siruseri and Porur are the usual ones — or live online in IST. You provide the room, network and a screen; we bring the lab, materials and assessment.
Can the agenda be customised for our stack?
Yes — that is the normal case for a private batch. We start with a discovery call, look at your build tooling, CI system, test estate and release calendar, and rebuild the module list around them.
Our build takes over an hour. Is that covered?
It is the core of the course. Build engineering — caching, incremental compilation, parallelism, agent strategy and reproducible toolchains — gets a full module and a lab where we profile and cut a real build.
Can you cover our test farm and hardware rigs?
Yes. Test selection, sharding, flake quarantine and scheduling of shared rigs or licensed tools are treated as first-class delivery problems rather than a QA footnote.
How do you schedule around release windows and shifts?
Chennai batches are usually run as two blocks rather than a continuous week, timed around release windows and plant calendars. Where operations staff work rotating shifts, we run a repeat sitting instead of forcing attendance.
What size are batches?
Private corporate batches run 8 to 30 engineers. Public Live & Interactive cohorts are capped at 10 so everyone gets time with the trainer.
What lab environment do we need?
Attendees provision their own environment — free-tier AWS, Azure or GCP, or local VMs — with our guidance. We do not hand out temporary sandboxes, because the environment they build is the one they keep.
Do attendees get a certificate?
Yes — a completion certificate per attendee, verifiable at devopsschool.com/certificates, plus an attendance and assessment report for corporate batches.
How is invoicing handled?
Quotes are issued in INR with GST applied, and purchase orders are supported. For onsite delivery, travel within the city is included and any outstation travel is itemised separately.
What is your refund position?
If we cancel or postpone a cohort, you receive a full refund within 15 days. There is no general money-back guarantee, and GST and gateway fees are not refunded.

Still deciding?

Tell us the team, the stack and the timeline. You'll get a straight answer, not a sales sequence.

Talk to an advisor
# ready when you are

Book a DevOps trainer — or ask a question first.

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  • Syllabus in 60 seconds
  • A human reply within one business day

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