DevOps that makes every release routine
We automate how your software is built, tested and deployed, so changes reach production in small, safe steps instead of risky manual releases.
What we take on
- CI/CD pipelinesEvery change built, tested and deployed the same way, with approvals where you need them.
- Infrastructure as codeServers, networks and cloud resources defined in code, reviewed and repeatable.
- Containers and orchestrationApplications packaged with Docker and run on Kubernetes where that suits the workload.
- Automation of routine workEnvironment setup, database changes and other manual release steps, scripted.
- Monitoring and feedbackLogs, metrics and alerts that show your team how each release behaves in production.
One delivery pipeline for your applications, databases and data jobs.
Where this fits in your stack
Analyca covers the whole path from database to decision. DevOps Technology is the Ship layer, and the same team covers the other four.
- StoreDatabase ManagementFast, backed-up databases, tuned and monitored.
- MoveData EngineeringPipelines that bring every source into one place.
- DecideBI AnalyticsDashboards and KPIs your leadership can trust.
- ProtectProtectData Governance & SecurityAccess control, data protection and compliance across the stack.
- ShipShipDevOpsCI/CD and automation so every change reaches production safely.You are here
When companies call us about DevOps
You notice: Every release is slow, manual and a little risky.
What we do: We build CI/CD pipelines with automated tests, so releases become small and routine.
Discuss thisYou notice: Test and production environments never quite match.
What we do: We define environments as code, so each one is built from the same definition.
Discuss thisYou notice: We find out about problems from our customers.
What we do: We set up monitoring and alerts on the signals that matter, routed to the people who can act.
Discuss this
Where we do DevOps, by industry
What this service does in each sector, from that sector's page. Open yours to see the full picture.
All 4 DevOps use casesHow an engagement starts
You see a written plan with scope, timeline and team before any work begins.

Step 1: Talk
A call with our engineers about your systems, your data and the decisions you need it for.
Step 2: Assess
We review your current setup and send a written plan with scope, timeline and team.
For DevOps, that review covers how code moves from commit to production today, your environments, hosting and cloud accounts, and how you monitor releases.
Step 3: Build and run
We deliver the work with documentation, and can stay on to run and support it.
Common questions
Something else on your mind? Email info@analyca.in or book a consultation.
Which tools do you use?
Do we need Kubernetes?
Can you work with our developers?
How do we start working together on DevOps?
What you can hold us to
Companies we have delivered projects for:
A written plan before any work starts
After the first call we review your setup and send scope, timeline and team in writing.
Documentation with everything we deliver
Pipelines, databases, dashboards and deployments are handed over with documentation your own team can follow.
One team accountable for the result
The same engineers work across your databases, pipelines, dashboards and releases.
Book a consultation
Tell us what you are working on. An engineer from our team will get back to you to set up a call.

