We assess your repositories, release workflows, infrastructure, toolchain, and security requirements, then create a practical CI/CD and automation roadmap with priorities, responsibilities, and measurable delivery goals.
Our engineers build a focused pipeline using infrastructure as code, automated testing, and container or serverless deployment. The pilot is validated in a staging environment before production rollout.
We deploy the approved workflows to production, document operating procedures, and train your team on releases, rollback, monitoring, and maintenance.
We improve pipeline performance, cloud cost, observability, and security controls. Automation can then expand across additional applications, environments, and engineering teams.
Automated build, testing, and deployment pipelines shorten the path from code commit to production.
Infrastructure as code and repeatable release workflows limit manual configuration errors.
Monitoring, rollback controls, and automated checks help teams detect issues before they affect more users.
Standardized pipelines and self-service infrastructure reduce repetitive engineering work.
DevOps automation works best alongside:
The highest AWS partner tier, held since December 2024.
Generative AI, Migration and Modernization, Managed Service Provider, DevOps, Small and Medium Business, and Healthcare.
Backed by 200+ AWS certifications across the team.
Through our partnership with AWS, eligible companies may receive partial or full funding for an approved proof of concept, depending on projected AWS consumption and project scope. Eligibility is assessed during the discovery call.
DevSecOps shifts security and compliance checks earlier in the delivery process.
Prove one pipeline with a proof of concept before automating across teams.
VP Engineering, BrightCare Health
200+ CI/CD pipelines delivered
94% clients see deployment time cut in half within three months
Manual releases took three days and often rolled back
Avahi built CodePipeline and Terraform workflows, added automated security scans, and containerized services
Weekly releases with ninety-nine percent success rate and thirty percent lower infrastructure cost
Manual, snow-flake AWS environments caused slow, error-prone releases and blocked SOC 2 compliance
Avahi rebuilt the platform as Terraform IaC + GitHub-Actions → Argo CD pipelines on Amazon EKS, delivering push-button, multi-env deployments
< 30 min environment spin-up (was two days)
5× faster release cadence (weekly → daily)
35 % lower AWS spend after rightsizing EKS node groups
Passed first SOC 2 readiness scan with zero critical findings
AWS DevOps combines development practices, cloud infrastructure, automation, and AWS services to improve how software is built, tested, deployed, and monitored. It commonly includes CI/CD pipelines, infrastructure as code, observability, security automation, and standardized release workflows.
CI/CD on AWS automates software building, testing, and deployment using services such as AWS CodePipeline, CodeBuild, and CodeDeploy. It can also integrate with GitHub Actions, GitLab, or Jenkins to create repeatable release workflows across AWS environments.
DevOps consulting services help teams improve software delivery, infrastructure management, automation, and operational reliability. An engagement may cover pipeline design, infrastructure as code, cloud architecture, DevSecOps, observability, or the modernization of an existing release process.
DevOps as a service provides ongoing access to engineers who manage and improve pipelines, automation, infrastructure, monitoring, and delivery workflows. It suits teams that need continued DevOps support without building a large internal platform engineering function.
Timelines depend on the number of applications, environments, integrations, and security requirements involved. A focused pipeline can usually be delivered sooner than a company-wide DevOps transformation involving multiple teams and legacy systems.
We work with AWS CodePipeline, CodeBuild, CodeDeploy, GitHub Actions, GitLab, Jenkins, Terraform, AWS CloudFormation, Ansible, Amazon EKS, Amazon ECS, and AWS Lambda.
DevSecOps can move many security checks earlier in the delivery process. Automated scanning, policy validation, and approval controls help teams identify issues before deployment while preserving required review steps.
Yes. We can design hybrid delivery workflows that connect on-premises systems with AWS. This allows teams to modernize pipelines gradually while keeping workloads in their current environment until they are ready to migrate.
