AI and data platform infrastructure
Building robust platform foundations for AI exploration and model development on GCP, including automation, governance, monitoring, and scalable compute paths.
Stockholm, Sweden / GCP / AWS / Azure
Akkireddy Challa
Multi-cloud platform engineer, open-source contributor, and practical DevOps writer.
I build cloud foundations, write down the patterns, and keep improving the systems that help teams ship faster without losing reliability, observability, security, or cost control.
3major clouds
2017GitHub since
AWScertified architect
100+stars on public work
What makes me useful
Platform thinking with hands-on delivery.
I specialize in designing, provisioning, and improving infrastructure for teams that depend on cloud-native systems. My work sits at the intersection of DevOps, MLOps, observability, IAM, FinOps, and automation.
The value I bring is practical: convert messy requirements into reliable platforms, make deployments repeatable, reduce operational noise, and create systems that engineers trust.
I also document what I learn. The best platform engineers leave behind reusable paths, not private knowledge trapped in one person's head.
History
A public engineering trail from software projects to cloud platforms.
DevOps, SRE, and cloud delivery systems
Working across Terraform, Kubernetes, CI/CD, observability, and cost-aware architecture to support production teams on AWS, GCP, and Azure.
Software, data, and computer science foundations
Master of Science in Computer Science from Blekinge Institute of Technology with public work spanning machine learning, web systems, automation, and applied programming.
Selected projects
Public work with a platform engineering signal.
Azure MCP Platform
An MCP server for inspecting Azure infrastructure, AI Foundry, and Entra ID through AI agents.
Open repositoryGrafana MCP Observability
An MCP server for querying Grafana dashboards, alerts, and data sources through AI agents.
Open repositoryK8s MCP Server
An MCP server for debugging, analyzing, and diagnosing Kubernetes clusters directly from AI agents.
Open repositoryPhoenix MCP Eval
An MCP server for Arize Phoenix covering LLM tracing, evaluation, and dataset management.
Open repositoryOpen source and public work
Contributions, learning trails, and reusable engineering notes.
Public repositories
Work and learning history across infrastructure, DevOps, Python automation, web applications, data science, and cloud engineering.
Stars on Online Banking System
A long-running public application project that continues to attract attention and acts as a visible early engineering foundation.
DevOps and SRE documentation
Public guides, terminology, cheatsheets, and practice material that turn hands-on work into reusable learning assets.
Cloud platform repositories
Recent infrastructure work highlights the current direction: Terraform, analytics platforms, cloud foundations, and production readiness.
Writing
Field notes for platform engineering, DevOps, and AI infrastructure.
How I think about building a cloud platform operating model
Reliability, delivery speed, IAM, observability, and cost need one shared operating model instead of disconnected tooling.
Read articleTerraform best practices I keep coming back to
Small modules, clear ownership, state discipline, and reviewable plans make infrastructure automation safer.
Read articleObservability foundations for platform teams
Dashboards are not enough. Useful observability starts with signals, ownership, and response paths.
Read articlePractical infrastructure foundations for AI teams
AI teams need governed environments, scalable compute, artifact paths, cost controls, and simple deployment patterns.
Read articleToolbox
Cloud, automation, observability, and data platform skills.
Cloud
- Google Cloud Platform
- Amazon Web Services
- Microsoft Azure
- GKE and EKS
Infrastructure
- Terraform
- Kubernetes
- Helm
- Docker
Automation
- GitHub Actions
- GitLab CI
- Jenkins
- Python and Bash
Data and AI
- Vertex AI
- BigQuery
- MSK and Kafka
- Redshift Serverless
Observability
- Datadog
- Prometheus
- Grafana
- CloudWatch
Governance
- IAM
- Cost optimization
- Autoscaling
- Reliability reviews
Contact
Let us build something reliable.
Open to platform engineering, cloud infrastructure, DevOps, SRE, and AI infrastructure conversations.