In the early days, a small team can get away with doing things by hand. As the team and product grow, manual testing, hand-built servers and undocumented environments start slowing everyone down. Codersarts DevOps services automate the work between writing code and shipping it, with CI/CD pipelines, infrastructure as code and consistent environments your whole team can rely on.
What Is DevOps?
DevOps is the set of practices and automation that connects writing code to running it in production. It covers CI/CD pipelines, containerization, infrastructure as code, consistent environments, secrets management and automated quality and security checks, so every change is tested, built and shipped the same way, every time.
DevOps is part of Launch & Scale Engineering. It focuses on your team's everyday engineering workflow. Getting your product live and releasing it safely is covered by our Deployment service.
At a Glance
Item | Detail |
|---|---|
Who it is for | Growing teams with manual testing, hand-run releases or infrastructure nobody can rebuild |
Typical problems | Skipped tests, environment drift, slow onboarding, secrets in code, risky releases |
Starting price | CI/CD Starter from $3,000, 1 to 2 weeks |
Pipelines | GitHub Actions, GitLab CI, Bitbucket Pipelines, Jenkins, CircleCI |
Infrastructure as code | Terraform, Pulumi, CloudFormation |
Containers | Docker, Kubernetes, Amazon ECS |
Cloud | AWS, Google Cloud, Azure |
Ownership | Everything lives in your own repositories and cloud account |
Why Do Manual Workflows Slow Growing Teams Down?
Someone runs the tests when they remember. Servers are configured directly in the cloud console. Environment settings live in one developer's head, and a handful of scripts hold everything together.
As the team grows, this stops working. Bugs slip through because tests didn't run. New developers take weeks to get a working setup. Staging and production drift apart, so problems appear only after release. Infrastructure can't be rebuilt because nobody knows exactly how it was set up. Every change takes longer and feels riskier than the last.
DevOps replaces this manual work with automation. Every code change is built and tested the same way, your infrastructure is defined in version-controlled code, and your environments stay consistent, so your team spends its time building the product instead of babysitting the process.
Signs You Need DevOps
Tests are run by hand, sometimes, or not at all before code is merged.
Building and releasing the product depends on one or two people who know the steps.
Your cloud infrastructure was set up by clicking through a console, and nobody could recreate it.
Development, staging and production behave differently, so bugs only appear after release.
New developers take days or weeks to get the project running on their machine.
Secrets and API keys are shared in chat, stored in code or copied between files.
Your team wants to release more often, but every release feels slow and risky.
Cloud costs keep growing, and nobody tracks which resources are still needed.
What Do We Set Up?
Area | The problem it solves | What we implement |
|---|---|---|
CI pipelines | Bugs slip through because tests don't run consistently | Automatic build, linting, unit and integration tests on every pull request, with clear pass and fail results |
CD pipelines | Releases depend on manual steps and specific people | Automated delivery to staging and production after checks pass, with approval gates where needed |
Containerization | Works-on-my-machine problems | Docker images for every service, so code runs the same way locally, in testing and in production |
Infrastructure as code | Servers nobody can rebuild, untracked changes | All infrastructure defined in Terraform, Pulumi or CloudFormation, reviewed and versioned like application code |
Environment management | Staging and production drift apart | Consistent development, staging and production environments, plus on-demand preview environments for pull requests |
Secrets and configuration | Keys and passwords exposed in code or chat | Centralized secrets management with access control, rotation and per-environment configuration |
Orchestration | Manual server management and scaling | Kubernetes, ECS or managed container platforms, configured for health checks and autoscaling |
Quality and security checks | Vulnerable dependencies and risky code reach production | Automated dependency scanning, container image scanning and code quality checks in the pipeline |
Developer experience | Slow onboarding and inconsistent local setups | One-command local setup, documented workflows and faster pipeline run times |
Cost management | Paying for idle or oversized resources | Resource tagging, right-sizing, scheduled shutdown of non-production environments and cost alerts |
AI and ML pipelines | Prompt, model and data changes shipped without checks | Pipelines that run LLM evals and model checks before any AI change goes live |
We choose the simplest setup that fits your team. Not every product needs Kubernetes, and we'll tell you honestly when a managed platform is the better choice.
Before and After DevOps
Without DevOps | With our setup | |
|---|---|---|
Testing | Manual, often skipped | Automatic on every change |
Building and releasing | Manual steps, one or two people | Automated pipeline, anyone on the team |
Release frequency | Weekly or monthly | Daily or more |
Infrastructure changes | Clicked through a console, untracked | Reviewed and versioned in code |
Rebuilding an environment | Days of guesswork | Minutes, from code |
New developer onboarding | Days to weeks | Hours |
Secrets | Shared in chat or stored in code | Managed centrally with access control |
Where Does Your Team Stand?
Most teams fall into one of four stages. We help you move to the next one, at a pace that suits your team.
Stage | What it looks like | What we focus on |
|---|---|---|
Manual | Hand-run tests, manual deploys, console-built servers | Containerization, a first CI pipeline, basic infrastructure as code |
Partly automated | Some scripts and CI, but gaps and manual steps remain | Full CI/CD, consistent environments, secrets management |
Automated | Pipelines and infrastructure as code in place | Security scanning, preview environments, faster pipelines, cost controls |
Optimized | Fully automated, measured and continuously improved | Platform tooling, advanced release strategies, DevOps metrics tracking |
Key DevOps Terms, Explained
Term | What it means | Why it matters |
|---|---|---|
Continuous integration (CI) | Every change is built and tested automatically when it is pushed | Bugs are caught minutes after they are written, not after release |
Continuous delivery (CD) | Changes that pass checks are packaged and delivered to environments automatically | Releasing stops depending on one person's manual steps |
Infrastructure as code | Cloud resources defined in files and versioned in Git | Any environment can be reviewed, rebuilt or copied in minutes |
Preview environment | A temporary copy of the app created for each pull request | Reviewers test real changes before they are merged |
Shift-left security | Security checks run early, inside the pipeline | Vulnerable dependencies are blocked before they reach production |
DORA metrics | Deployment frequency, lead time for changes, change failure rate and time to restore | The standard way to measure how well a team delivers software |
How Do We Work?
Step | What happens | Timeline |
|---|---|---|
1. Assess | We review your codebase, current workflows, infrastructure, environments and pain points. | Week 1 |
2. Plan | We design the target setup and a step-by-step plan that avoids disrupting your team. | Week 1 |
3. Build | We containerize services, write infrastructure as code and build CI/CD pipelines. | Weeks 2 to 4 |
4. Adopt | We roll out the new workflow alongside your team, fix friction points and tune pipeline speed. | Weeks 3 to 5 |
5. Handover | Documentation, training and support for your team's first weeks on the new setup. | Final week |
Already had our Launch Readiness Audit? We use its findings and start at step 2.
What Do You Get?
CI/CD pipelines: automated build, test and delivery for every service
Infrastructure as code: your full cloud setup defined, documented and version-controlled
Container setup: Docker images and configuration for every service
Consistent environments: development, staging and production that behave the same way, plus preview environments where useful
Secrets management: keys and credentials stored securely, with access control
Automated checks: dependency, security and quality scanning built into the pipeline
Documentation and training: how the pipelines and infrastructure work, and how to extend them
Everything lives in your own repositories and cloud account. You own all of it.
Example: What a DevOps Engagement Looks Like
This is an illustrative scenario showing our approach, not the results of a specific client project.
A SaaS product has a team of six developers. Tests run on individual laptops when someone remembers, the cloud setup was built by hand, and releasing a new version takes a senior developer most of an afternoon. New hires take a week to get the project running locally.
We would containerize the application, define all infrastructure in Terraform, and build CI pipelines that run tests and security scans on every pull request. Approved changes would flow automatically to staging, with a one-click promotion to production. Secrets move to a managed vault, and a single command sets up a local environment for new developers.
Measure | Typical starting point | Target after DevOps setup |
|---|---|---|
Tests run before merging | Sometimes | Every change, automatically |
Time to release a new version | Hours of manual work | Minutes, automated |
Release frequency | Every 1 to 2 weeks | Several times a week or daily |
Time to recreate an environment | Days, if possible at all | Minutes, from code |
New developer setup | Several days | Under a day |
Pricing
Package | Best for | Includes | Timeline | Price |
|---|---|---|---|---|
CI/CD Starter | Small teams with manual testing and releases | Containerization, CI pipeline with automated tests, CD to staging and production | 1 to 2 weeks | From $3,000 |
DevOps Foundation | Growing teams that need a complete, automated workflow | Everything in Starter, plus infrastructure as code, consistent environments, secrets management and security scanning | 3 to 5 weeks | From $7,000 |
DevOps Partner | Teams without a dedicated DevOps engineer | Ongoing pipeline and infrastructure maintenance, improvements, cost reviews and support | Monthly | From $2,000 per month |
Works Well With
Deployment: take your product live and release changes with zero downtime
Launch Readiness Audit: see every risk in your system before changing your workflow
Monitoring & Observability: link pipelines and releases to dashboards and alerts
AI Hardening: add LLM evals to your pipeline so AI changes are tested before release
Frequently Asked Questions
What's the difference between DevOps and Deployment?
DevOps covers how code is tested, built and prepared for release, and how infrastructure is managed as code. Deployment covers getting your product live and releasing it safely, including go-live, zero-downtime releases, rollback and disaster recovery.
Which tools do you work with?
GitHub Actions, GitLab CI, Bitbucket Pipelines, Jenkins and CircleCI for pipelines, Terraform, Pulumi and CloudFormation for infrastructure, and Docker, Kubernetes and ECS for containers, across AWS, Google Cloud and Azure.
Do we need Kubernetes?
Not always. Many products run better on simpler managed platforms, and we recommend what fits your team size, product and growth plans.
Will this disrupt our team's work?
No. We roll changes out step by step alongside your existing process, and switch over only once the new workflow is tested and your team is comfortable with it.
We already have some CI/CD. Can you improve it?
Yes. We improve partial pipelines, slow builds and testing gaps rather than replacing what works.
Can our team manage everything after handover?
Yes. We document everything and train your team, or our DevOps Partner plan covers ongoing maintenance.
Can you work on a project another team built?
Yes. Most of our DevOps work starts with codebases and infrastructure built by in-house teams, freelancers or other agencies.
Spend Your Time Building, Not Babysitting Releases
Tell us your team size, the tools you use and how your team builds and ships today. We'll reply with a recommended setup and a fixed quote, or start with a free 30-minute review of your current workflow.