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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

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Interactive Tools

25+ diagnostics, converters & calculators

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Latest Insights

Experiments, playbooks & 2AM thoughts

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