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Udyat Technologies
Service 09
Core service area

DevOps, Platform Engineering, Reliability

Ship faster, break less, and know before your customers do.

CI/CD, infrastructure as code, monitoring, incident readiness, and the operational maturity that keeps releases fast and safe.

CI/CD pipelinePassing
Build
Test
Scan
Deploy
Deploy frequency88%
Change failure rate12%
26 min
Lead time
8 min
MTTR
99.9%
Uptime
You are probably here because

These are the signs this work is overdue

If several of these are true for your business, this service is usually where the fastest return sits.

Deployments happen late at night because they are risky.
Your customers tell you the site is down before your monitoring does.
Only one person knows how to release, and they are on leave.
Environments drift, so it works in staging and fails in production.
Infrastructure was clicked together in a console and nobody can reproduce it.
Post-incident, nobody can reconstruct what actually happened.
What's included

What this engagement actually contains

Not every element applies to every business. We scope to what your operations need, and say so when something is not worth doing.

01

CI/CD pipelines

Automated build, test, and deploy so releasing becomes routine rather than an event. Small, frequent, reversible releases are safer than big rare ones.

Automated buildsTest gatesBlue/green and canary deploysOne-click rollback
02

Infrastructure as code

Every environment defined in version-controlled code, so it can be reviewed, reproduced, and rebuilt. No more configuration that exists only in one person's memory.

Terraform modulesEnvironment parityPeer-reviewed changesReproducible rebuilds
03

Observability

Metrics, logs, and traces joined up so you can answer why something is slow, not just that it is. Alerts tuned to be worth waking up for.

DashboardsStructured loggingDistributed tracingActionable alerting
04

Incident readiness

On-call rotation, runbooks, severity definitions, and blameless review. The goal is fast, calm recovery and a system that learns from each incident.

RunbooksOn-call rotationSeverity modelBlameless post-incident review
05

Performance and cost engineering

Find what is slow and what is expensive — often the same thing — and fix it with evidence from profiling rather than guesswork.

Load testingQuery and profile analysisCaching strategyCost per request
06

Developer experience

Fast local setup, quick feedback loops, and self-service environments. A platform that makes the right thing the easy thing pays back every single day.

One-command local setupPreview environmentsGolden pathsInternal documentation
Typical outcomes

What changes when this is done properly

Indicative ranges from comparable engagements. Your assessment produces numbers for your own operations.

20x
more frequent releases
small and safe beats big and rare
90%
faster recovery
runbooks and rollback, not improvisation
99.9%
availability
measured against an agreed target
30%
lower cloud spend
typical after right-sizing and caching
What you receive

Tangible deliverables, not a slide deck

Every engagement ends with artefacts your team can use, extend, and operate without us. Documentation and handover are part of the scope, not an optional extra.

  • CI/CD pipelines covering build, test, and deployment with rollback
  • Complete infrastructure defined as version-controlled code
  • Observability stack with dashboards, structured logs, tracing, and tuned alerts
  • Runbooks, on-call rotation, and an agreed severity and escalation model
  • Load-test results with performance and cost baselines
  • Reliability targets, error budgets, and a review cadence
How the work runs

A phased engagement, not a big bang

Each phase is independently valuable. You can pause after any of them and still be better off than when you started.

  1. 01

    Baseline the current state

    How often you release, how long it takes, how often it fails, and how long recovery takes. Four numbers that tell you almost everything.

    1 week
  2. 02

    Automate the pipeline

    Build, test, and deploy automated end to end, with rollback proven before it is ever needed.

    2–4 weeks
  3. 03

    Codify the infrastructure

    Existing infrastructure captured as code, environments brought into parity, and manual console changes closed off.

    3–6 weeks
  4. 04

    Instrument and alert

    Dashboards, tracing, and alerts tuned so every page is genuinely actionable and noise gets removed.

    2–4 weeks
  5. 05

    Practise and improve

    Rehearse incidents, run restores, review the numbers, and keep raising the baseline.

    Ongoing
How we build it

The technology we typically reach for

Chosen for how well it is supported and how easily your team can take it on — not for how impressive it sounds.

CI/CD
  • GitHub Actions
  • GitLab CI
  • Argo CD
  • Automated test gates
Infrastructure
  • Terraform
  • Docker
  • Kubernetes
  • Helm
Observability
  • Prometheus
  • Grafana
  • OpenTelemetry
  • Centralised logging
Practice
  • Runbooks
  • Error budgets
  • Load testing
  • Post-incident review
Industries

Where this service lands hardest

The sectors where we most often deliver this work, and where the payback is usually fastest.

FAQ

DevOps & reliability — questions we get asked

We are a small team. Is this overkill?

The practices scale down well, and small teams often benefit most because there is no slack to absorb a bad release. A small team typically needs automated deploys, infrastructure as code, and three good alerts — not a full platform organisation.

Do we need Kubernetes?

Usually not, and we will say so. Most businesses are better served by managed container services or plain virtual machines. Kubernetes earns its complexity at a scale and team size that many organisations never reach.

Can you take on-call for us?

We can cover on-call during a transition and for systems we operate. For the long term we generally prefer to build the capability in your team, because the people who write the code make the best responders.

How do you measure whether this worked?

Deployment frequency, lead time for changes, change failure rate, and time to restore. We baseline all four at the start and report against them, so improvement is demonstrable rather than asserted.

Next step

Ready to talk about devops & reliability?

Start with a short conversation. We will tell you honestly whether this is the right place to begin, or whether something else pays back faster.