Platform engineering, DevOps, and SRE consulting

Reliable platforms for software and AI.

I help engineering teams and growing businesses build delivery platforms, establish DevOps and SRE practices, and improve cloud infrastructure. I also deploy model APIs and agent workflows for production use.

Who I help

Engineering teams and growing businesses.

Engineering leaders and technical teams

Build clearer paths from code to production, strengthen service ownership, and improve how teams deploy and operate software.

Founders and small businesses

Set up practical cloud and AI systems without creating infrastructure that is difficult to understand or operate.

What I do

How I can help.

Platform engineeringGive engineering teams a consistent path from code to production.

Build reusable paths from code to production with internal platforms, golden paths, CI/CD foundations, and self-service infrastructure.

  • Internal developer platforms
  • Delivery workflows and golden paths
  • Self-service infrastructure patterns
  • CI/CD foundations
  • Platform standards and documentation
DevOps and SRE team enablementHelp teams establish delivery and reliability practices they can run without ongoing consultant support.

Establish DevOps and SRE practices for releases, observability, incident response, and service ownership. Leave the team with documented reliability goals and working agreements.

  • Delivery and release practices
  • Observability and operational readiness
  • Incident response
  • Service ownership
  • Reliability goals and service-level thinking
  • Continuous improvement
  • Knowledge transfer and working agreements
Cloud infrastructureCreate infrastructure that teams can understand, operate, and change safely.

Design and improve AWS, Kubernetes, Terraform, Docker, and Linux systems with documented ownership and controlled deployment changes.

  • AWS
  • Kubernetes
  • Terraform
  • Docker and Linux
  • Infrastructure as code
  • Deployment architecture
  • CI/CD integration
AI deployment and agent systemsOperate AI features and agent workflows as production systems.

Deploy model APIs, AI features, and agent workflows. Integrate them with application data, add access controls and observability, and verify their behavior before production use.

  • AI deployment architecture
  • Managed or self-hosted model integration
  • Model APIs
  • Agent workflows
  • Application and data integrations
  • Evaluation and verification
  • Observability
  • Access and operational controls
Advisory infrastructure reviewsIdentify infrastructure risks, operating gaps, and improvement priorities.

Review infrastructure, delivery, reliability, and AI deployment practices. Provide prioritized findings, risks, and next actions.

  • Cloud architecture
  • Kubernetes configuration and operations
  • Infrastructure as code
  • Delivery pipelines
  • Access controls
  • Observability and incident readiness
  • Reliability risks
  • AI deployment readiness

These focused advisory reviews do not provide formal compliance audits, certifications, penetration tests, or legal assurance services.

Ways to engage

Match the work shape to the problem.

Working principles

Build systems teams can understand, operate, and change.

  1. Prefer simple systems over unnecessary tools.

  2. Record ownership and operating expectations.

  3. Verify changes with real execution and evidence.

  4. Teach the team to continue the work without depending on a consultant.

  5. Keep documentation close to the system and under version control.

About

I work across platforms, infrastructure, reliability, and AI deployment.

I am Giridharan Manivannan. I design and improve the infrastructure, delivery systems, and operating practices behind production software. My experience includes Go, Terraform, Kubernetes, AWS, Docker, Linux, CI/CD, and agent-based engineering workflows.

I help teams improve their systems and operating practices.

Technologies I work with

  • Go
  • Terraform
  • Kubernetes
  • AWS
  • Docker
  • Linux
  • CI/CD
  • Agent workflows

Contact

Describe the system that needs to work better.

Tell me what you are operating, what is getting in the way, and what outcome you need.