Built for freshers, developers and ops engineers moving into cloud. You learn by fixing live production incidents on real Kubernetes clusters — not by watching videos — and finish job-ready, certified, and with 85% of graduates placed within 6 months.
Placement Rate
Avg. Rating
Engineers Trained
Live Kubernetes cluster · 6 worker nodes · 1 incident active
85% placed within 6 months of finishing
Devloud in 30 seconds
Most courses teach you what Kubernetes is. Devloud puts you in front of a cluster that is already broken and gives you 15 minutes to fix it. That is the difference between knowing the concepts and being trusted with production.
What Devloud is
Weekly instructor-led sessions capped at 40 engineers, 40+ incident labs on real AWS and Kubernetes infrastructure, and a curriculum aligned to CKA, CKS and AWS SAA.
Who it's for
Career switchers starting from Linux, backend developers who want to own the whole pipeline, and sysadmins moving into cloud-native DevOps, SRE and platform roles.
Why it's different
Every lesson is a live production incident on a real cluster — CrashLoopBackOff, OOMKilled, expired TLS, etcd failure. You diagnose and fix it under a timer, the way you will on call.
What you'll achieve
Ship production infrastructure end to end, pass your certification, and interview with confidence — 85% of graduates land a DevOps, SRE or Cloud role within 6 months.
Why it matters: 1.2 million DevOps and Cloud roles sit unfilled globally in 2026, and hiring teams have stopped screening for course certificates — they screen for people who can debug a failing cluster live in the interview.
Placement Rate
Land a DevOps/Cloud role within 6 months of graduating.
Completion Rate
vs. 34% industry average — real incidents keep you hooked.
Unfilled Jobs
DevOps & Cloud roles unfilled globally in 2026 — demand is surging.
AIOps Growth
AIOps roles grew 340% since 2023. Get in before the crowd.
The Devloud approach
Traditional courses teach the happy path and hope you work out the rest on the job. We invert it: you meet each technology at the moment it breaks, because that is the only moment that actually teaches you how it works.
Traditional learning
What most courses and bootcamps do
Devloud learning
Incident-Based Learning™
Theory-based lessons
Real production incidents
You open week one to a cluster that is already failing, not to a slide deck about container orchestration.
Passive video learning
Hands-on troubleshooting
Sessions are live and two-way. You share your terminal, your instructor watches you debug, and corrects you in the moment.
Simulated examples
Real-world engineering scenarios
Labs run on actual AWS EC2, EKS and GKE infrastructure — real API rate limits, real IAM denials, real network latency.
Concept understanding
Practical problem-solving skills
You are graded on whether the service recovered and how fast, not on whether you can define a StatefulSet.
91%
Course completion
vs. 34% industry average — incidents are harder to abandon than videos.
40+
Incident labs
Every one recreated from a real outage our instructors have handled.
0
Pre-recorded lectures
Every core session is live, with your instructor in the terminal with you.
Your learning roadmap
Eight stages, sixteen weeks, beginner to production-ready. Each stage builds on the last and ends with a real incident you have to fix before you move on. Already comfortable with Linux and Docker? Skip ahead — we'll place you at the right step.
Beginner
STEP 1–2
No prior cloud experience needed
Intermediate
STEP 3–6
Where most job requirements sit
Advanced
STEP 7–8
What separates senior engineers
The layer every other tool sits on. Filesystems, processes, permissions, networking, systemd and shell scripting — until the terminal stops being intimidating.
Incident lab: A service won't start after reboot — trace it through systemd and journald.
Package an application so it runs identically everywhere. Images, layers, volumes, networks, multi-stage builds and the security mistakes almost everyone makes first.
Incident lab: A 1.4 GB image ships secrets in a layer — find it and rebuild it clean.
Run containers at scale. Pods, Deployments, Services, Ingress, ConfigMaps, RBAC, probes, resource limits and the scheduler decisions that cause 3 AM pages.
Incident lab: api-gateway is in CrashLoopBackOff. Root-cause it and restore the SLO.
Where the clusters actually live. VPCs, subnets, IAM, managed Kubernetes, load balancers, object storage and the cost model that decides your architecture.
Incident lab: Pods can't reach RDS across subnets — untangle the security groups and routes.
Stop clicking in consoles. Declarative infrastructure, modules, remote state, drift detection and safe plan-and-apply workflows across environments.
Incident lab: State drift after a manual console change — reconcile it without destroying prod.
Ship safely, many times a day. Pipeline design, artefact promotion, GitOps with ArgoCD, blue-green and canary rollouts, plus rollback you can trust.
Incident lab: A canary is failing 8% of requests — decide in 5 minutes: promote or roll back.
You cannot operate what you cannot see. Metrics, logs and traces, Prometheus and Grafana, SLIs and SLOs, error budgets, and alerts that don't cry wolf.
Incident lab: p99 latency tripled with no error-rate change — find it in the traces.
The skill that gets you hired and promoted. Incident command, triage under pressure, mitigation before diagnosis, comms, and blameless postmortems that change the system.
Incident lab: Full region degradation, live stakeholders. You run the incident end to end.
Finish line: you can be handed the on-call pager.
Eight stages done means you can deploy, observe, and recover production infrastructure on your own — and prove it in an interview.
What you'll be able to do
Tool logos on a syllabus don't get anyone hired. These are the five capabilities every Devloud graduate demonstrates before they finish, each one evidenced by work they did on live infrastructure.
How outcomes are verified
Take a page at 3 AM, triage in minutes, mitigate before you fully diagnose, and write a postmortem that stops the repeat.
The one that gets you hired
Every interview loop for a senior DevOps or SRE role now includes a live debugging round. Graduates walk in having already run 40 incidents against a clock — including a full region degradation with stakeholders watching.
Design and provision VPCs, managed clusters, load balancers and databases across AWS, Azure and GCP — codified in Terraform, not clicked in a console.
Wire commit-to-production delivery with automated tests, artefact promotion, GitOps sync, canary rollouts and a rollback you would actually trust on a Friday.
Operate multi-tenant clusters end to end — scheduling, autoscaling, RBAC, network policy, storage, upgrades and capacity planning under real load.
Finish with on-call rotations, SLOs you defined, dashboards you built and runbooks you wrote — the portfolio evidence interviewers ask for.
Platform walkthrough
Four tabs, four real surfaces of the platform. Click through the dashboard you'll open every day, the lab catalog, a live incident simulation, and the browser terminal that connects to your own cluster.
Learning dashboard: One screen for everything in flight — progress, streak, next live session and what to do next.
Good evening, Ananya
Week 7 of 16 · Kubernetes Administrator
62%
Course progress
23/40
Labs cleared
9
Incidents solved
Continue where you left off
Module 7 · Ingress, TLS and cert-manager
Live in 26 minutes
Debugging etcd quorum loss
with Sanchit Raj · 90 min · 34 attending
Due Sunday
Harden the ingress path
Graded · instructor review · 2 attempts left
Pod stuck in CrashLoopBackOff
Terraform state drift recovery
Expired TLS on public ingress
RDS unreachable across subnets
Every lab provisions a dedicated cluster in ~40 seconds and tears it down when you're done. No local setup.
SEV-2 · checkout-api degraded
Error rate 18% · 3 stakeholders in the channel
11:08
SLO budget left
Telemetry
$ kubectl get pods -n payments
checkout-api-6b4f7 CrashLoopBackOff 0/1 6m
checkout-api-9d2c1 Running 1/1 4h
$ kubectl logs checkout-api-6b4f7 --previous | tail -3
WARN connection pool exhausted (max=10)
FATAL dial tcp 10.2.9.14:5432: i/o timeout
$ promql rate(http_5xx[1m])
0.18 ▲ from 0.002 · onset 14:31 UTC
Your objectives
AI hint · 2 of 3 left
Only one replica is failing. Ask what is different about that pod's node — then look at the connection pool ceiling against replica count.
devloud@lab-07 · ap-south-1 · session 00:14:22
➜ kubectl top pod -n payments
NAME CPU(cores) MEMORY(bytes)
checkout-api-6b4f7 892m 254Mi
checkout-api-9d2c1 114m 98Mi
➜ kubectl describe pod checkout-api-6b4f7 | grep -A3 Limits
Limits: memory: 256Mi cpu: 900m
Last State: Terminated · Reason: OOMKilled · Exit Code: 137
➜ kubectl set resources deploy/checkout-api --limits=memory=512Mi
deployment.apps/checkout-api resource requirements updated
➜ kubectl rollout status deploy/checkout-api
deployment "checkout-api" successfully rolled out
➜
Your cluster
Runs in your browser. Nothing to install — the shell is attached to a real EKS cluster provisioned just for you.
Want to try it instead of read about it?
6 labs are free and need no card — provision a cluster, break it, and fix it in under 30 minutes.
The platform
Spin up live Kubernetes clusters. Trigger real CrashLoopBackOff, OOMKilled, TLS expiry, and etcd failures. Fix them under a timer — exactly how it happens at 3 AM on-call.
$ kubectl get pods -n production
api-gateway-7f8d9 CrashLoopBackOff 0/1 4m
$ kubectl describe pod api-gateway-7f8d9 | grep -A5 Events
→ OOMKilled: container exceeded 256Mi limit
✓ Task: Fix memory limits — 11m 08s remaining
Max 40 students. Weekly live sessions with practitioners — zero pre-recorded slides.
Resume reviews, mock interviews & referrals to 80+ hiring partners.
85%
hired within 6 months
Sat + Sun evenings (IST). Designed for full-time engineers.
No career pause
AI lab hints, smart runbook generation, and LLM-assisted debugging.
Powered by Claude
8-stage DevOps loop · incident at every phase
How we teach
Every stage of the DevOps lifecycle is a potential incident scene. We teach each phase by breaking it in a live cluster and having you diagnose and fix it — exactly as you would at 3 AM on-call.
Plan
SLO design, runbooks
Code
Git workflows, IaC
Build
CI pipelines, Docker
Test
Chaos, load, security
Release
GitOps, ArgoCD
Deploy
K8s, Helm, Terraform
Operate
Incident response
Monitor
Prometheus, Grafana
Who it's for
The 2026 DevOps job market rewards depth over breadth. Whatever your starting point, we have a structured path to get you there faster.
01
Career-switchers and freshers who want a structured, lab-first path into DevOps. Stop watching tutorials. Start fixing real incidents from day one.
02
2–7 year engineers targeting senior, SRE, or platform engineering roles. Earn CKA/CKS/AWS certs with real lab practice — not just MCQ dumps.
03
Engineering leads running Kubernetes migrations, cloud-native transitions, or building internal platform teams. Custom cohorts available for groups of 10+.
Global infrastructure
Your incident labs run on actual AWS and GCP infrastructure across 10 global regions — same latency profiles, same failure modes, same blast radius as production.
Mumbai
ap-south-1
Bangalore
asia-south1
Singapore
ap-southeast-1
Tokyo
ap-northeast-1
London
eu-west-2
Frankfurt
eu-central-1
Virginia
us-east-1
Oregon
us-west-2
Dubai
me-south-1
Sydney
ap-southeast-2
10 regions · live data routing · real infrastructure
Capped at 40 students per cohort. Live instruction every week.
₹949
one-time or 3 instalments
₹499
one-time or 3 instalments
₹799
one-time or 3 instalments
Meet the founders
18+ combined years running production Kubernetes at scale. They teach because they've lived the 3 AM war stories you need to know.
Sanchit Raj
Co-Founder & Lead Instructor
DevOps • Kubernetes • Cloud Infrastructure
Ex-SRE turned educator. Sanchit has run production Kubernetes clusters at scale across fintech and e-commerce companies. He teaches the way engineers learn — through real incidents, not slides.
8+
Years in DevOps
500+
Students Mentored
15+
Courses Built
Alumni stories
From people who went through the labs, got the cert, and landed the role.
“The incident-based learning approach changed everything for me. Instead of memorising commands, I learned the 'why' behind infrastructure failures. Landed an SRE role at a top fintech in 3 months.”
Arjun Singh
SRE at Razorpay
“The Kubernetes labs are incredibly realistic — they simulate real production outages you simply can't find in standard documentation. Best ROI on any course I've taken.”
Priya Mehra
DevOps Lead at Flipkart
“Live mentor sessions and community support helped me clear CKA and CKS on the first attempt. Devloud is a league apart from every other platform I've tried.”
Rahul Kapoor
Platform Engineer at Swiggy
Resource Centre
Our instructors write down what they learn running production — guides, tutorials on real infrastructure, postmortems of actual outages, and honest career roadmaps with Indian salary data. All free, no signup.
Technical blogs
Long-form engineering writing from instructors who run production Kubernetes every day. No listicles, no AI filler.
Learning guides
Structured, start-to-finish guides you can work through in a weekend. Each one ends with something running, not a quiz.
Cloud & DevOps tutorials
Hands-on walkthroughs on real infrastructure. You provision a cluster in the browser and follow along — nothing to install.
Production incident case studies
Real outages, anonymised and rebuilt as labs. Read what happened, then go fix the same thing on your own cluster.
Career roadmaps
Where each role actually leads, what it pays in the Indian market, and the shortest honest route from where you are now.
₹0
Everything above is free
No email wall, no drip campaign. Cohorts are how we make money — the writing is how we prove we're worth it.
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500+ engineers have broken production, fixed it, and got hired. Join the next cohort before seats fill.
