Cloud & DevOps
Deployments so routinenobody schedules ameeting
Automated pipelines, infrastructure as code and observability that let your team ship small changes often, see exactly what changed when something breaks, and roll back in minutes.
- Commit to production, automated
- Build, test, approve and deploy on every change.
- Infrastructure as code
- Environments recreated from a repository, not from memory.
- Fast recovery
- Rollback measured in minutes, with dashboards that show what changed.
- 3–6 weeks
- To a fully automated release path.
- 20×
- More frequent deploys
- <10 min
- Mean time to rollback
- 65%
- Fewer incidents
- 100%
- Infrastructure as code
Overview
Most releases are risky becausethey are rare
When deploying is manual and painful, teams batch weeks of changes together and every release becomes an event with a war room. We automate the path from commit to production so small changes ship safely every day — and rolling back is a button, not a weekend.
Infrastructure lives in version control, environments are reproducible, secrets are managed, and dashboards show exactly what changed when something goes wrong. Your engineers spend their time on the product, not on the deployment.
Who this is for
- Engineering teams releasing monthly who need to release weekly or daily
- Companies with hand-built environments nobody dares to touch
- Platform and product teams preparing for scale, audit or multi-region operation
- 40+
- Pipelines running for client teams
- 3–6 weeks
- To a fully automated release path
What's included
What you get from thisengagement
Working software and a documented reason for each decision — not a slide deck of possibilities.
CI/CD pipelines
Build, test, security scan and deploy on every change, with approval gates where your process requires them.
Infrastructure as code
Terraform-managed environments that can be recreated from a repository in minutes and reviewed like any code.
Containers & orchestration
Docker and Kubernetes set up only where they simplify operations rather than add to them.
Observability
Metrics, logs and traces in one place, with alerts tuned so on-call engineers trust them.
Incident response
Runbooks, escalation paths and blameless post-mortems that reduce repeat incidents.
Secrets & access
Secure secrets management and least-privilege access across every environment.
Our approach
From manual releases tocontinuous delivery, inthree phases
Each phase ends with something you can review and a decision point where you can stop.
Start with a pipeline review- Map the current path from commit to production
- Identify manual steps, risks and bottlenecks
- Design the target pipeline, environments and access model
- Fixed-scope plan and estimate
You end up with: A target delivery architecture with measurable goals and a number.
- Environments rebuilt as code
- Pipeline with tests, scans and approvals live
- Observability and alerting configured
- Rollback procedures tested in staging and production
You end up with: Automated, observable deployments your team runs daily.
- Deployment frequency and recovery time tracked
- Incident reviews and runbook improvements
- Cost and performance tuning
- Handover to your engineers
You end up with: A delivery platform your team owns and trusts.
Not sure which service you actually need?
Describe the problem in thirty minutes and a solution architect will tell you — including when the answer is that you do not need us for this.
Tools we use
DevOps tooling on open standards
Widely adopted tools your next engineer already knows.
CI/CD
- GitHub Actions
Infrastructure as code
- Terraform
Containers
- Docker
- Kubernetes
Cloud
- AWS
- Microsoft Azure
Observability
- Prometheus
- Grafana
- Cloud-native tooling
Why us
Why partner with Kaidova on DevOps
We deploy our own platforms continuously. The pipelines, environments and on-call habits that make that safe are what we build for you.
Small changes, often
We design for daily releases, which makes each one low-risk and easy to reverse.
Everything as code
Infrastructure, pipelines and configuration live in version control and get reviewed like any change.
Alerts engineers trust
Observability tuned to real failure modes, not noise.
Only the complexity you need
Kubernetes and service meshes where they pay for themselves — not by default.
Built to be handed over
Runbooks, IaC and pipeline docs your team can operate without us.
Our work
Results from systems in production
How disciplined engineering translates into operational outcomes. Every figure shown is measured on a live system and approved by the client.
View all case studies
01LieferfairMarketplaces & LogisticsRebuilding a delivery marketplace to survive its own growth
A fast-growing delivery platform was hitting the limits of its original architecture. We re-engineered the core system for scale, reliability and real-time operations.
Read case study3.2×
Increase in order throughput
02Construction contractor (on Oplyra)Construction & TradingOne ledger for a contractor running six disconnected systems
Read case study40%
Less time closing the month
03FastestVPNConsumer SoftwareScaling a consumer VPN to millions of sessions a day
Read case study99.9%
Uptime across regions
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See how often you could safely deploy
Thirty minutes with the engineers who would do the work, walked through your release path. No obligation, no slide deck.