Capabilities that keep teams shipping fast and safely.
Every engagement starts with discovery and finishes with delivery. Explore how I approach platform engineering, reliability, DevOps, FinOps, AIOps, and the methodology that ties them together.
Platform Engineering
Developer experience, infrastructure abstraction, and self-service automation.
- Platform vision, charter, and ownership.
- Internal developer portals, golden paths, and templates.
- Infrastructure as code with policy guardrails.
- Product mindset with adoption and success metrics.
Reliability Engineering
SLO-driven operations, incident response, and observability.
- User-centric SLOs, SLIs, and error budgets.
- Unified telemetry with trace, metrics, and logs.
- Incident command, blameless postmortems, and automation.
- Chaos, resilience patterns, and toil reduction.
DevOps Modernization
Product-aligned delivery, CI/CD automation, and platform collaboration.
- Team Topologies-aligned operating model.
- GitOps, progressive delivery, and release governance.
- Developer self-service via APIs and CLIs.
- Culture of continuous improvement with DORA metrics.
FinOps & Cost Optimization
Cloud cost visibility, allocation, forecasting, and optimization.
- CUR pipelines processing 1B+ data points per hour.
- 99%+ cost allocation via tagging governance.
- Capacity forecasting and rightsizing automation.
- $8M+ verified savings across infra, observability, and people.
AIOps & AI-Augmented Engineering
Measured, deliberate AI adoption across every phase of the SDLC, from AI-native IDEs to foundation models and autonomous operations.
- AI coding assistants: Windsurf, Cursor, Kiro, GitHub Copilot, Antigravity, and more.
- Foundation model platforms: Vertex AI, Amazon Bedrock, Azure OpenAI, and private LLMs.
- AI integrated across planning, coding, testing, review, and operations.
- Governance-first: human oversight, cost controls, quality gates, and responsible AI.
The Methodology
Structured assessments that connect strategy to implementation.
- Interview guides, evidence collection, and scorecards.
- Prioritization matrices and roadmap recommendations.
- Executive storytelling, decision memos, and alignment.
- Measurement and ROI tracking for transformation.
What makes this different
Not just slides. Real implementation guidance.
Evidence-backed
Interview guides, scorecards, and baselines from real field experience.
Actionable steps
Tooling options, integration patterns, and stepwise rollout guidance.
Measurement-first
SLOs, adoption metrics, and ROI tracking built into the methodology.
Tips & Tricks
Learn from Ani's sleepless nights
Battle-tested defaults from the platform playbook. Filter by layer, search, and steal the snippet over at the full playbook.