Only one person knows how to release
The process lives in one engineer's head. When they take leave, releases stop.
DevOps services
Ship software without waiting for a quiet hour
HiTechCloud builds CI/CD pipelines, infrastructure as code and monitoring so your team can deploy several times a day — and roll back in minutes. Our DevOps capability is recognized by AWS through the DevOps Competency.
- Recognized capabilities
- AWS DevOps Competency
- Scope
- CI/CD · IaC · Containers · Monitoring
- Partnership model
- Build the platform, work alongside you, or run it end to end
- Platform
- HiTechCloud · AWS · On-premise
Overview
DevOps is removing manual steps, not buying more tools
In most businesses we meet, releasing still involves at least one manual step: copying a file to the server, running a database update, editing a line of configuration. Those steps are why releases wait until night, and why nobody touches the system on a Friday.
Our job is to turn each of those manual steps into code: infrastructure rebuildable from the repository, releases run automatically through a pipeline, and every change leaving a record of who, when and what.
Results have to be measurable. We track the four familiar metrics — deployment frequency, lead time from commit to production, change failure rate and time to restore — and compare before and after rather than relying on impressions.
Common problems
Signs your release process is holding the team back
The test environment differs from production
Code that works in test but fails in production, because the two environments were built by hand at different times.
Rolling back takes hours
When a release goes wrong, recovery is manual and sometimes means restoring from backup.
No idea where the system broke
With no central logs or metrics, every incident starts with logging into servers one by one.
Service
Scope of deployment
Pipeline CI/CD
Automated from commit to production: build, test, security scan, approval and environment-by-environment deployment.
Infrastructure as code
Describing the whole infrastructure in Terraform or equivalent, so a new environment can be rebuilt from the repository quickly.
Containers and orchestration
Packaging with Docker and deploying on Kubernetes or a managed container service, with resource policies and autoscaling.
Centralized monitoring and logging
Collecting metrics, logs and traces in one place, with dashboards and alerts set at thresholds that mean something to the business.
Security built into the pipeline
Dependency and container image scanning, centralized secrets, role-based access and full deployment audit logs.
Handover to the in-house team
Training and mentoring your engineers so they can run the platform after the project ends.
How to start
Pick one service, get it right, then roll it out
We do not build the platform for everything at once. One service is chosen as the model, run end to end through the new process, and only then applied to the rest.
- Pick a service that changes often but carries moderate risk.
- Build the pipeline and infrastructure as code for that one service.
- Measure the four delivery metrics before and after.
- Turn it into a reusable template for the services that follow.
Process
How a DevOps project runs
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01
Current-state assessment
Reviewing the release process, environments and tooling, and measuring today's metrics as a baseline.
-
02
Platform design
Choosing tools that fit the team and existing infrastructure, and designing environments, permissions and approval flows.
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03
Pilot implementation
Building the pipeline and infrastructure as code for one service, running it for real and tuning until stable.
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04
Rolling out
Applying the template to the remaining services, adding monitoring and documentation for each.
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05
Knowledge transfer
Training the in-house team, handing over operating documentation and agreeing post-project support.
How it is delivered
Automate a step at a time, every step reversible
The whole process does not change at once. Each automated step runs alongside the old way until the team trusts it.
- The old release method stays available until the pipeline is stable.
- Every infrastructure change lives in the repository with a readable history.
- Permission to deploy to production is separate from permission to edit the pipeline.
Technology
Tools we commonly use
The toolchain is chosen around your existing infrastructure and skills — we do not impose a fixed stack.
CI/CD
- GitLab CI
- GitHub Actions
- Jenkins
- Argo CD
Infrastructure as code
- Terraform
- Ansible
- CloudFormation
- Packer
Container
- Docker
- Kubernetes
- Helm
- Harbor
Monitoring and logging
- Prometheus
- Grafana
- Loki
- Elastic Stack
- CloudWatch
Customer
Who this service is for
Development teams releasing by hand
- Shipping a new version depends on one person working from memory.
- Every release has to be scheduled for a quiet hour.
- Rolling back after a bad release takes hours and is never certain.
Businesses with inconsistent environments
- Test and production were built by hand at different times.
- Standing up an environment for a new project takes days.
- Configuration is scattered and never stored in the repository.
Operations teams who want to do it themselves
- You have engineers, but none has built a complete pipeline before.
- You want reusable templates instead of starting over for each service.
- You want a handover so you can run it yourself after the project.
FAQ
FAQ
We only have a few developers — is DevOps too much for us?
Not necessarily. For a small team, an automated pipeline and infrastructure as code are usually enough — Kubernetes can wait. We propose a level that matches your real scale rather than the full stack.
Is Kubernetes mandatory?
No. Kubernetes only earns its keep when you have enough services and enough elasticity to justify it. Many systems run better on VMs and managed containers, at far lower operating cost.
Do you build and hand over, or operate long term?
Both. Some clients want us to build the platform and train their team to take over; others hand us operations under a long-term service contract.
Does the live system have to stop for this?
No. The pipeline and infrastructure as code are built alongside in a separate environment, and only adopted once stable and accepted.
Benchmark your current release process.
Get in touch and HiTechCloud will review your release process, point out the manual steps and propose automation scaled to your team.
