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Anirudh Sridharan (Ani)

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 backend 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 oncall a first class outcome.

Reliability at Scale

Delivering multi region architectures and high throughput telemetry pipelines with four nines availability targets.

Operations & Incident Management

Leading incident command, tuning escalation policies, and using correlationID 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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