Ani Sridharan
Delivering 99.999% reliability through battle tested practices, smart automation, and relentless optimization for Fortune 500 enterprises and hyper growth startups alike. 10+ years across AWS, Azure, and GCP.
Engineering Leadership
Built high-performing teams from scratch and scaled multi-team initiatives across infrastructure operations, observability, and systems reliability.
Thought Leadership
Practicing customer-obsessed engineering—using real user journeys to shape reliability, CX, and operational guardrails.
Hands-on Engineer
Designing and shipping infrastructure as code, Kubernetes platforms, and back-end services; debugging production systems.
AI/ML Expertise
Applying AIOps and self-healing to reduce toil, auto-remediating recurring issues and accelerating incident triage.
Systems Reliability & Operations
Defining SLIs/SLOs, capacity planning, and chaos/performance testing to make quiet on-call a first-class outcome.
Reliability at Scale
Delivering multi-region architectures and high-throughput telemetry pipelines with five-nines availability targets.
Operations & Incident Management
Leading incident command, tuning escalation policies, and using correlation-ID tracing to accelerate root-cause analysis.
Tech I Get My Hands Dirty With
The platforms and tools I actually use, not just talk about.
AI & ML
Secure MCPs, LangChain, MLOps, OpenAI, PyTorch
Cloud
Multi-cloud expertise (AWS, GCP, Azure) + PCF/private clouds
Automation & CI/CD
Terraform, Jenkins, GitHub Actions
Containers & Orchestration
Docker, Kubernetes, Helm
Observability
Prometheus, Grafana, Datadog, ELK, AppDynamics, Dynatrace, New Relic, Splunk, SignalFx
Data
Databricks, Microsoft Fabric, Snowflake
FinOps
CUR pipelines 1B+ pts/hr, 99%+ tagged allocation, $8M+ verified savings across infra, observability, and people costs
Interactive Tools
25+ diagnostics, converters & calculators
Latest Insights
Experiments, playbooks & 2AM thoughts
