CI/CD and Infrastructure as Code · DORA Metrics Reported · No Lock-In · Your Cloud, Your Repos
Managed DevOps for Teams Without a DevOps Engineer
Your team has developers but no DevOps engineer, and releases are manual or risky. We build and run your CI/CD, infrastructure as code, monitoring and incident response in your own accounts.
What Is Managed DevOps?
Managed DevOps, also called DevOps as a service, is an arrangement where an external team builds and runs the systems that take your code from a developer's commit to a reliable production release: CI/CD pipelines, infrastructure as code, environments, containers, monitoring and incident response. Your developers keep writing features while the managed DevOps team keeps delivery fast, safe and repeatable.
Codersarts provides managed DevOps services for startups, SaaS companies and product teams that have developers but no dedicated DevOps or platform engineer. We set up and maintain your pipelines and infrastructure in your own cloud account and code repository, then keep them running, patched and improving every month.
Your developers ship features. We make sure every release reaches production safely, and that production stays healthy afterwards.
Managed DevOps at a Glance
Question | Answer |
|---|---|
Who it is for | Teams with developers but no full-time DevOps engineer |
Core work | CI/CD, infrastructure as code, environments, containers, monitoring, security and incident response |
Clouds | AWS, Google Cloud, Azure, DigitalOcean, Hetzner and Cloudflare |
Tooling | GitHub Actions, GitLab CI, Terraform, Docker, Kubernetes, Prometheus, Grafana, Sentry |
Model | One-time setup, then a fixed monthly retainer with fair-use engineering hours |
Price | Monthly management from $1,000 per month; setup quoted after assessment |
Ownership | Pipelines, infrastructure code and cloud accounts stay in your company's name |
Signs Your Team Needs Managed DevOps
Deployments are manual. Someone logs into a server, pulls code and restarts services, and only one person knows how
Releases are risky. Deployments happen late at night or on Fridays are banned because rollbacks are slow
Environments drift. Staging does not match production, so bugs appear only after release
Nobody owns infrastructure. Servers were set up by hand, and nobody knows exactly how they were configured
Cloud bills keep rising with no clear view of what is running
Developers spend days on infrastructure instead of product work
Alerts are missing or ignored, so customers report outages before your team does
What Our Managed DevOps Services Include
CI/CD Pipelines
Automated build, test and deploy pipelines on every pull request and merge
Separate pipelines for staging and production, with approval gates where you need them
Fast rollback to the previous release
Database migrations run safely as part of the release
Secrets injected at deploy time, never stored in code
Infrastructure as Code
Cloud resources defined in Terraform, OpenTofu or the provider's own templates
Every infrastructure change reviewed in version control, like application code
Environments that can be rebuilt from code after a failure
Documented modules for networks, servers, databases, storage and permissions
Environments and Containers
Development, staging and production environments that match each other
Docker images built once and promoted through each environment
Container platforms sized to your needs, from a single server with Docker Compose to Amazon ECS or Kubernetes
Preview environments for pull requests where they add value
Monitoring, Logging and Alerting
Uptime, error rate, latency and resource monitoring
Centralised logs with sensible retention
Alerts routed to the right people, tuned to avoid noise
Dashboards your team actually uses
Security and Compliance Basics (DevSecOps)
Dependency and container image vulnerability scanning in the pipeline
Least-privilege cloud permissions and short-lived credentials
Secret scanning to catch keys committed by mistake
Audit trails for infrastructure and deployment changes
Operations
Operating system and runtime patching
Backups with a monthly restore test
Incident response with defined response times and root-cause notes
Monthly cost review to remove idle resources
Deployment Strategies We Use
Strategy | How it works | When we use it |
|---|---|---|
Rolling deployment | New versions replace old ones gradually across servers or containers | Most web apps and APIs with more than one instance |
Blue-green deployment | A complete new environment is prepared and traffic switches in one step | Releases that need instant rollback |
Canary release | A small share of users gets the new version first while errors are watched | High-traffic products where a bad release would be costly |
Feature flags | New code ships switched off and is turned on separately | Large features and gradual rollouts controlled by your product team |
Scheduled maintenance window | The app pauses briefly during off-peak hours | Rare database changes that cannot run online |
Common DevOps Problems We Fix
Pipelines that take too long, fixed with caching, parallel test runs and smaller container images
Flaky tests that block releases at random, isolated and fixed or quarantined
Configuration hidden on servers, moved into version-controlled code
Long-lived cloud keys on laptops and in pipelines, replaced with short-lived credentials
Alert fatigue, where hundreds of alerts hide the few that matter
Idle resources such as forgotten test servers, unattached disks and oversized databases that inflate the cloud bill
Single points of failure in deployment knowledge, removed through runbooks and shared access
Example 90-Day DevOps Roadmap
This illustrative roadmap shows how work is usually prioritised for a small product team.
Period | Focus | Result |
|---|---|---|
Days 1 to 15 | Assessment, access, monitoring and alerts | Outages are detected before customers report them |
Days 16 to 45 | Automated CI/CD for staging and production, with rollback | Deployments run in minutes, without manual server work |
Days 46 to 75 | Infrastructure as code and environment parity | Staging matches production and environments can be rebuilt |
Days 76 to 90 | Security scanning, cost review and runbooks | Fewer risks, lower spend and documented operations |
DevOps Metrics We Track
The DORA research programme identified four measures that separate high-performing delivery teams from the rest. We report them so you can see delivery improving over time.
Metric | What it measures | Direction we aim for |
|---|---|---|
Deployment frequency | How often code reaches production | More often, in smaller changes |
Lead time for changes | Time from commit to production | Shorter |
Change failure rate | Share of releases that cause a problem | Lower |
Time to restore service | Time to recover after an incident | Shorter |
How Managed DevOps Works
Assessment. We review your repositories, current deployment process, cloud accounts, environments, costs and pain points.
Roadmap. You receive a prioritised plan: quick wins first, such as automated deployments and alerts, then infrastructure as code and environment parity.
Setup. We build the pipelines, infrastructure code, monitoring and documentation in your accounts, working alongside your developers.
Handover to your team. Your developers learn the new workflow through short walkthroughs and written guides.
Monthly management. We run, patch and improve the platform, respond to incidents and support releases, with a monthly report.
Cloud Cost Control as Part of DevOps
Infrastructure that is easy to create is also easy to forget. Every month we review what is running against what your product actually needs:
Test environments and servers left running after a project ended
Oversized databases and servers that could run on smaller instances
Unattached storage volumes, old snapshots and unused IP addresses
Logs and backups kept far longer than any policy requires
For a deeper, one-time review of your cloud spending, see our Cloud Cost Audit.
Managed DevOps vs Hiring a DevOps Engineer
Factor | Full-time DevOps hire | Codersarts managed DevOps |
|---|---|---|
Time to start | Weeks or months of recruiting | Assessment within days of agreement |
Cost | A full senior salary plus benefits | A fixed monthly fee sized to your needs |
Coverage | One person; gaps during holidays and sick leave | A team with shared knowledge and documented runbooks |
Breadth | Depends on one person's experience | Experience across many clouds, stacks and incident types |
Best for | Large platforms needing daily, full-time work | Teams that need reliable delivery without a full-time hire |
Many companies use managed DevOps until their platform is large enough to justify a full-time hire, then use the documentation and infrastructure code we built to onboard that person quickly.
Managed DevOps vs Other Operations Services
Managed DevOps focuses on how code is built, tested, released and run, and suits teams with their own developers
[Application Maintenance and Support](https://www.codersarts.com/solutions/operations/application-maintenance-and-support) focuses on keeping the application itself working, including code fixes, and suits companies without developers
[Managed Application Hosting](https://www.codersarts.com/solutions/operations/managed-application-hosting) focuses on running the environment for a single application
All three are delivered by the same Codersarts operations team and can be combined. For an overview, see Managed App Operations.
Working Alongside Your Developers
Managed DevOps works best as part of your team, not as a separate department. We join your existing channels, such as Slack or Microsoft Teams, and work in your repositories through normal pull requests, so your developers review infrastructure changes the same way they review application code.
Shared ownership: your developers can read and change every pipeline and infrastructure file
Clear release responsibilities: developers merge code; pipelines and approvals decide when it reaches production
On-call that fits your size: we handle infrastructure incidents, and escalate application bugs to your developers with the logs and context they need
Knowledge transfer: short walkthroughs and written guides whenever we introduce a new tool or process
What You Get in the First Month
A written assessment of your delivery process, infrastructure, security gaps and cloud costs
Monitoring and alerting on production, routed to the right people
Verified backups with a successful restore test
A prioritised roadmap with effort estimates for each improvement
The first quick wins delivered, usually automated deployment for your main application
Tools and Platforms We Work With
Category | Tools |
|---|---|
Source control and CI/CD | GitHub, GitHub Actions, GitLab CI, Bitbucket Pipelines |
Infrastructure as code | Terraform, OpenTofu, AWS CloudFormation, Pulumi |
Containers | Docker, Docker Compose, Amazon ECS, Kubernetes, Helm |
Clouds | AWS, Google Cloud, Azure, DigitalOcean, Hetzner, Cloudflare |
Monitoring | Prometheus, Grafana, CloudWatch, Uptime Kuma, Sentry, Better Stack |
Secrets | AWS Secrets Manager, Google Secret Manager, Doppler, GitHub encrypted secrets |
We choose the simplest tools that solve your problem. A small product rarely needs Kubernetes, and we will tell you so.
Managed DevOps Pricing
DevOps Setup
Fixed quote after assessment
Pipelines, infrastructure as code, environments, monitoring and documentation, scoped to your roadmap. For a single application that needs to be deployed and monitored properly, the Go-Live Package starts at $2,000 one-time.
Monthly Managed DevOps
Starting at $1,000 per month, business hours
Pipeline and infrastructure maintenance
Patching, backups and monthly restore tests
Monitoring, alerting and incident response with defined response times
Monthly cost review and DORA metrics report
Fair-use engineering hours for improvements and release support
Add-ons
24/7 critical incident cover: $250 per month
Additional engineering: $50 per hour in business hours, $75 per hour out of hours, with your approval
Cloud and tool subscription costs are paid directly to the providers.
What Is Not Included
Application feature development
Cloud, tool and licence fees
Formal compliance certification audits such as SOC 2 or ISO 27001, although we help prepare the technical evidence
Hosting in Codersarts-owned accounts
Frequently Asked Questions
What is managed DevOps?
Managed DevOps, or DevOps as a service, is an external team that builds and runs your CI/CD pipelines, infrastructure as code, environments, monitoring and incident response.
Who should use DevOps as a service?
Startups and product teams that have developers but no dedicated DevOps engineer, and teams whose deployments are manual, risky or dependent on one person.
How much do managed DevOps services cost?
Codersarts managed DevOps starts at $1,000 per month, with setup quoted after an assessment. Cloud and tool costs are paid directly to providers.
Do we need Kubernetes?
Usually not at an early stage. Many products run reliably on a single server or a managed container service, and we recommend Kubernetes only when the benefits clearly outweigh the added complexity.
Will we be locked in to Codersarts?
No. Pipelines, infrastructure code and cloud accounts live in your repositories and accounts, documented so another team can take over.
Which clouds and CI/CD tools do you support?
AWS, Google Cloud, Azure, DigitalOcean, Hetzner and Cloudflare, with GitHub Actions, GitLab CI, Bitbucket Pipelines, Terraform and Docker.
What are DORA metrics?
They are four delivery measures: deployment frequency, lead time for changes, change failure rate and time to restore service. We report them monthly.
Can you work alongside our developers?
Yes. We work in your repositories and communication channels, review changes with your team and train developers on the new workflow.
Make Every Release Safe and Repeatable
Tell us how your team deploys today, where your infrastructure runs and what slows you down. We will assess your setup and send a prioritised DevOps plan.