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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


  1. Assessment. We review your repositories, current deployment process, cloud accounts, environments, costs and pain points.

  2. Roadmap. You receive a prioritised plan: quick wins first, such as automated deployments and alerts, then infrastructure as code and environment parity.

  3. Setup. We build the pipelines, infrastructure code, monitoring and documentation in your accounts, working alongside your developers.

  4. Handover to your team. Your developers learn the new workflow through short walkthroughs and written guides.

  5. 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.

Startups and product teams that have developers but no dedicated DevOps engineer, and teams whose deployments are manual, risky or dependent on one person.

Codersarts managed DevOps starts at $1,000 per month, with setup quoted after an assessment. Cloud and tool costs are paid directly to providers.

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.

No. Pipelines, infrastructure code and cloud accounts live in your repositories and accounts, documented so another team can take over.

AWS, Google Cloud, Azure, DigitalOcean, Hetzner and Cloudflare, with GitHub Actions, GitLab CI, Bitbucket Pipelines, Terraform and Docker.

They are four delivery measures: deployment frequency, lead time for changes, change failure rate and time to restore service. We report them monthly.

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.



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