Our DevOps practice covers the full automation stack — from CI/CD pipeline design and implementation through infrastructure as code, container orchestration, observability, and security integration. We work across GitHub Actions, GitLab CI, AWS CodePipeline, Terraform, Kubernetes, and the full observability ecosystem.
Benefits of Our DevOps Practice
Automated CI/CD Pipelines
Build, test, and deploy workflows that run on every commit — catching regressions before they reach production and enabling daily deployments.
Infrastructure as Code
Every environment defined in Terraform, Pulumi, or CDK — reproducible, version-controlled, and peer-reviewed like application code.
Full Observability
Metrics, distributed tracing, and structured logging that give you visibility into every layer of the system — before you need it.
Container Orchestration
Docker and Kubernetes setups that make deployments consistent across dev, staging, and production — no more "works on my machine."
Security by Default
Secrets management, image scanning, network policies, and SAST integrated into the pipeline — not bolted on after an incident.
Our DevOps Engagement Process
- 01
Audit and Discovery
You can't optimize what you haven't measured.
Current State Assessment
Reviewing your existing pipelines, infrastructure, deployment process, and incident history.
Pain Point Identification
Mapping where teams lose time — slow builds, flaky tests, manual deployments, unclear ownership.
Maturity Benchmarking
Measuring your current DevOps maturity against industry benchmarks to prioritize improvements.
- 02
Strategy and Roadmap
A plan that fits your team, not a template.
Toolchain Selection
Choosing CI/CD platforms, IaC tools, and observability stacks that fit your existing environment and skill set.
Migration Plan
Sequenced improvements that deliver value early without requiring a big-bang cutover.
- 03
CI/CD Implementation
Ship daily, recover fast.
Pipeline Build
Automated build, unit test, integration test, and deployment stages for every service.
Branch Strategy
Trunk-based development or GitFlow — whichever fits your team's workflow and release cadence.
Release Automation
Blue/green, canary, and feature-flagged deployments that reduce deployment risk dramatically.
- 04
Infrastructure Automation
Environments that are code.
IaC Migration
Moving manually-managed infrastructure into Terraform or CDK with state management and remote backends.
Environment Parity
Development and staging environments that match production — eliminating drift as a failure category.
- 05
Observability and Response
Catch problems before your customers do.
Metrics and Alerting
SLO-based alerting that pages you on symptoms, not causes — reducing alert fatigue.
Distributed Tracing
Request tracing across services so production incidents have a clear blast radius.
Runbook Automation
Common incident responses scripted and documented so anyone on the team can respond.
Why RothTech
We've helped teams go from monthly manual releases to daily automated deployments — with lower incident rates and faster mean time to recovery than before we started.