DevOps and CI/CD
DevOps that makes every release repeatable, observable and reversible.
ALGOFACT sets up CI/CD pipelines, infrastructure as code, Kubernetes environments and observability so software teams can ship often and safely. We review how code reaches production today, automate the manual steps, define every environment as versioned code and hand the result over with runbooks. The work runs on AWS, Azure, GCP or your own data center and is delivered from our engineering offices in Adana and Ankara TEKMER, Türkiye, under an ISO 27001:2022 certified information security management system.
At a glance
Last updated:
- Scope
- CI/CD, infrastructure as code, Kubernetes, monitoring
- Environments
- AWS, Azure, GCP, on premises or hybrid
- Information security
- ISO 27001:2022 certified management system
- Ownership
- Pipelines and infrastructure code live in your repos
- Releases
- Progressive rollout with a defined rollback
- First step
- Review of your current release process
When is DevOps work the right next step?
If release days make the team nervous, if only one person can log into a server, or if bugs show up only in production because staging behaves differently, the problem usually sits in the delivery process rather than in the code. DevOps work makes that process visible, repeatable and independent of any single person.
Not every team needs Kubernetes. A single application run by a small team is often better served by a managed application platform and a lean pipeline, with far less to operate. Container orchestration starts to pay off when you have several services, different scaling needs or strict environment separation. We size the recommendation to what your team can actually run, and we do not build a platform nobody can maintain.
DevOps work often starts alongside a cloud migration or the first production launch of a new product. If your infrastructure is already in the cloud but deployments are still manual, you can start here directly.
What we take on
We start where your team loses the most time today.
- 01
CI/CD pipelines
Every commit triggers build, test, security scanning and packaging. We build on the tool you already use, such as GitHub Actions, GitLab CI, Azure DevOps or Jenkins, and suggest switching only when it removes a real constraint. - 02
Infrastructure as code
Networks, databases, identity and access definitions are written as versioned code with tools such as Terraform. An environment is created through a reviewed and approved change, not from someone’s memory. - 03
Kubernetes and containers
We containerize applications and run them on managed Kubernetes (EKS, AKS, GKE) or on clusters in your data center. Resource limits, autoscaling and secrets management are defined from day one. - 04
Observability
Logs, metrics and distributed traces are collected in one place, with alerts that mean something to the business. An alert fires when a person needs to act; rules that only create noise are removed. - 05
Environment and version management
Development, staging and production are generated from the same definition. You can always see which version runs in which environment with which configuration. - 06
AI and data workloads
GPU capacity for training and serving, a model registry with MLflow and separate pipelines for data jobs. Models can be promoted to production without rebuilding the infrastructure.
How the engagement runs
- 01
Release process review
Together we trace the path from commit to production, the manual steps, who has access and recent incidents. The output is a short findings list ranked by priority. - 02
Target design
Pipeline stages, environment separation, branching strategy and rollback method are designed in writing and reviewed with your engineers. - 03
Incremental rollout
We apply the design to one service or one team first and extend it once it works. Your releases keep going during the change. - 04
Measurement
Deployment frequency, lead time for changes, change failure rate and time to restore service are measured at the start and at the end, so improvement is discussed with data rather than impressions. - 05
Handover and support
We hand over with runbooks, architecture records and training sessions. If you want, an embedded engineer works alongside your team for the first release cycles.
What you receive
- 01
Pipeline definitions
Build, test, scan and deploy stages versioned in your repository. - 02
Infrastructure code and modules
Reviewed infrastructure definitions that can recreate every environment. - 03
Service dashboards and alert thresholds
Per-service dashboards, alert rules and who each alert goes to. - 04
Release and rollback procedure
Progressive deployment steps, health checks and the way back to the previous version. - 05
Runbooks and access list
Who can access what, how routine tasks are done and the steps to follow when something unusual happens.
Safe releases and rollback
Every release should be small and reversible. That is why we combine progressive delivery methods such as blue-green or canary with automated health checks and feature flags. Database schema changes are made in two steps so the previous application version still works, which keeps a rollback from turning into data loss.
The pipeline itself is an attack surface. Secrets live in a secrets manager, not in the repository; CI accounts get only the permissions they need; dependencies and container images are scanned; and production deployments can require an approval step. These controls follow the same access and change management practices we apply under ISO 27001:2022.
Questions about DevOps services
Approach01Do we have to replace our current CI tool?
Usually not. We build on the tool you already use. We recommend a change only when the tool sets a real limit on licensing, security or scale, and we explain the reasoning in writing.
02Do we need to move to Kubernetes?
No. Kubernetes earns its keep when you run several services and have a team to operate them. If a simpler setup is enough, we recommend a managed application platform or VM-based deployment.
03Do you work with on-premises servers?
Yes. We build pipelines and infrastructure code for servers or Kubernetes clusters in your own data center as well. In hybrid setups, cloud and on-premises environments follow the same process.
04Can our own team take over afterward?
Yes, that is the goal. All pipeline and infrastructure code lives in your accounts and repositories and is handed over with runbooks and training. If you want ongoing help, we can continue under a managed support agreement.
05What drives the timeline and cost of a DevOps project?
The number of services and environments, how much is already automated, the cloud or on-premises platform, compliance requirements and how much of the work your team will take over. After the review we present the scope, phases and expected cloud running cost in writing.
Tell us about your project
Describe the problem briefly and we will reply with a time for a 30-minute discovery call.
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