DevOps and cloud consulting
DevOps consulting and cloud consulting for AWS, Azure and Kubernetes
By Yash Soni, Founder & CEO, Apex36Updated
In short
Apex36 is a DevOps and cloud consulting company for teams on AWS, Azure and GCP. We set up CI/CD, infrastructure as code, Kubernetes and cost controls, then hand over a setup your team can run. DevOps work starts at $1,500 for a setup or $45 an hour. Our founder holds CKAD, AWS Cloud Practitioner and AZ-900 certifications.
Key facts
| Starting price | Setup from $1,500, or $45/hr |
|---|---|
| Typical timeline | A standard setup typically in 1 to 2 weeks |
| Engagement model | Fixed-price setup, hourly work, or a monthly retainer |
| Markets | US, UK, Australia, Singapore, UAE |
| Stack | AWS (CDK, EKS, ECS Fargate, Lambda, CodePipeline), Azure (Container Apps, Bicep), GCP, Kubernetes, Docker, Terraform, GitHub Actions |
Cloud consulting services
We design cloud setups that a small team can run: separate dev, staging and production environments, least-privilege access, private networking, logging and alerts. Everything is written as code, so the setup can be reviewed, repeated and changed safely.
DevOps consulting services: CI/CD and infrastructure as code
- CI/CD pipelines on GitHub Actions or AWS CodePipeline, with tests and approvals before production
- Infrastructure as code with AWS CDK, Terraform or Bicep
- Keyless deploys with OIDC instead of long-lived cloud keys
- Database migrations, rollbacks and preview environments
Kubernetes and containers
We run containers where they earn their keep: Kubernetes (AWS EKS) for platforms with many services, and ECS Fargate or serverless for smaller ones. DecoverAI's platform runs on AWS EKS. If Kubernetes would only add work for your team, we will say so.
AWS consulting services
Multi-account AWS setups with cross-account pipelines, Lambda and API Gateway backends, queues with dead-letter handling, and CloudFront in front. For a pharma startup we built a multi-account AWS CDK setup across six repositories.
AWS cost optimization
We review your bill by service and account, then fix the causes: idle and oversized resources, missing autoscaling, expensive data transfer and storage that never expires. Each change comes with the expected monthly saving, so you can decide what to apply. We also add budgets and alerts so costs stay visible.
Proof from our work
HealthTech · Pharma
Multi-account AWS CDK for a pharma workflow SaaS
Dev, staging and production accounts with cross-account CodePipeline and Lambda, plus Langfuse on Azure Container Apps via Bicep, across six infrastructure repositories.
Read the case studyLegal Tech · eDiscovery
DecoverAI on AWS EKS
A legal AI platform running on Kubernetes in AWS. Their platform runs at 10+ US law firms.
Read the case studyDevTools · Multi-Agent
BlackBox AI sandboxes on GCP
Our work on isolated Docker code-execution sandboxes on Google Cloud for a multi-agent coding platform.
Read the case studyEnvironmental · LLM
Water Advisor AI on serverless AWS
Lambda, API Gateway, S3 and SES behind an MVP for a US founder.
Read the case study
What clients say about working with us
“One of the hardest-working and meticulous engineers I have encountered... helped build the infrastructure and Generative AI platform that is now deployed in large law firms throughout the United States... We eventually raised 2M+ in funding with the help of his efforts.”
Frequently asked questions
At Apex36, a DevOps setup starts at $1,500, and hourly DevOps work is $45 an hour. Larger setups and monthly retainers are quoted in writing after a short review of your current environment.
A DevOps consultant sets up how your code gets built, tested and deployed, and how your cloud is organised: CI/CD pipelines, infrastructure as code, monitoring and access control. The goal is safe, repeatable releases your team can run alone.
Use the cloud your team and customers already use. We work on AWS, Azure and GCP; the setup principles are the same, and switching clouds rarely pays for itself.
Often not. Kubernetes suits platforms with many services and a team to run them. Smaller products usually run better and cheaper on ECS Fargate or serverless.
We review the bill by service, remove idle and oversized resources, add autoscaling, fix data transfer and storage settings, and set budgets with alerts. You approve each change with its expected saving.
Yes. Everything is written as code with a runbook and a handover session, and we can stay on hourly for questions.
Find out what to build first
Start with the free AI readiness assessment and get a written report by email, or book a 30-minute strategy call with the founder.