AWSKubernetes
Production Cluster Migration
Migrated production workloads with zero downtime, including sandbox (sbx) migration and infra-switch AP usage with controlled traffic movement.
Site Reliability Engineer
Vivekananthan M
Build Reliable Systems.
Create Real Impact.
Create Real Impact.
I design, build, and operate scalable, resilient infrastructure across AWS and GCP. From production migrations to incident response, I turn complex systems into reliable, observable, and cost-efficient platforms.
Automate
Everything
Everything
Improve
Reliability
Reliability
Ensure
Security
Security
Optimize
Costs
Costs
GCPScalable. Global. Open.
AWSSecure. Resilient. Innovate.Different Clouds.
A More Reliable Tomorrow.
A More Reliable Tomorrow.
Systems are operational
AWSGoogle Cloud
Kubernetes
Terraform
Docker
Linux
Prometheus
Grafana
Kafka
PostgreSQL
MySQL
Redis
ClickHouse
OthersAbout Me
Engineer by trade,
reliability by obsession.
I like systems that fail quietly and recover loudly — clear alerts, fast rollbacks, and dashboards that tell the truth. My work sits at the intersection of infrastructure, automation, and incident response: turning fragile, manual processes into resilient, observable platforms that let teams ship with confidence. The best infrastructure is invisible — it just works, and when it doesn't, it tells you exactly why.
Reliability over noveltyBoring, predictable systems beat clever, fragile ones.
Automate the boring stuffIf it's manual and repeated twice, it becomes a script.
Blameless postmortemsEvery incident is a system lesson, not a person's fault.
Docs as a first-class citizenUndocumented infrastructure is infrastructure that doesn't scale.
sre@prod ~
$ kubectl get pods -n production
NAMESTATUSRESTARTS
api-gateway-7d9f8bRunning0
worker-queue-5c6d9aRunning0
cache-proxy-3f2e1cRunning0
$ ./deploy.sh --env=production
✓ Build passed
✓ Tests passed (128/128)
✓ Deployed to production
✓ Health checks green
$ _
Experience
Where I've been
building.
3+ years operating and scaling infrastructure across fintech and enterprise environments.
Site Reliability Engineer - 1
Site Reliability Engineer - TPA
Turbo Engineer Intern — Full Stack Developer
3.8+Years in SRE & DevOps
2Cloud platforms owned
99.99%Uptime maintained
10xPersonal work ethic
"Work 10x and Grow 10x."
The principle that's guided every role — take ownership beyond the job description, and the growth follows.
Top Skills
GKEGCPAWS RDSKubernetesIncident Response
Currently exploring
Service MeshCost OptimizationChaos Engineering
Education
B.E. Computer Science & Engineering
P.A. College of Engineering and Technology · 2018 – 2022
Core Competencies
What I bring to
the table.
The disciplines I focus on when designing and operating production infrastructure.
Cloud Platforms
Provisioning, IAM, networking, and cost optimization across multi-cloud environments.
Container Orchestration
Designing and operating production-grade Kubernetes clusters at scale.
Observability
Building metrics, logging, and tracing pipelines that surface signal, not noise.
Data Layer
Running and tuning databases and caches under real production load.
CI/CD & Delivery
Automating build, test, and deploy pipelines for fast, safe releases.
Reliability Practices
Incident response, on-call rotations, postmortems, and SLO-driven engineering.
Featured Projects
Infrastructure that
makes a difference.
A few highlights from my SRE journey — solving real problems at scale.
GCPKubernetes
Scalable Observability Stack
Designed and operated VictoriaMetrics, vmagent and Grafana for high-cardinality metrics across multiple clusters, enabling better visibility and faster incident resolution.
AWSGCP
Database & Cache Migrations
Handled migrations from RDS to Aurora, created read replicas, optimized Aurora I/O, and managed Redis, MySQL, Scylla and ClickHouse at scale.
Sample Design
A pattern I'd
reach for.
A generic, illustrative reference architecture — not a real production system — showing how I'd typically structure a resilient, observable service.
CI/CD(build & deploy)
Image Registry(container storage)
Client
DNS / CDN(edge routing)
Load Balancer(traffic split)
Service Cluster
Region A
SvcSvcSvc
Region B
SvcSvcSvc
Primary DB(with replicas)
Cache Layer(in-memory)
Message Queue(async events)
Monitoring(metrics & alerts)
Engineering Notes
Lessons from
the trenches.
Real experiences, deep dives, and practical takeaways from operating systems at scale.
When STS Couldn't Reach AWS
How we identified and resolved a sudden latency increase in our EKS cluster.
Reducing AWS Costs by 40%
Right-sizing, automated scaling, and intelligent shutdowns.
Observability that Actually Helps
Building actionable dashboards and meaningful alerts.