DevOps and IT infrastructure
Pipelines, environments, deployment and monitoring — so releasing is routine rather than an event.
- CI/CD
- Infrastructure as code
- Monitoring
- Microsoft Azure
- Cloud migration
- Technical support
- Code
- OPS
- Class
- C · Under 6 months
- Engagement
- TYPICAL 2-4 MONTHS · THEN RETAINED
- Stages
- 04
- Deliverables
- 06
- Sections
- 06
Overview
How often a team can safely release determines how fast the business can change its mind, and most of what blocks it is mechanical: a manual deployment, an environment nobody can rebuild, a test suite too slow to run, alerting that cries wolf until it is ignored. We fix those in that order. Meridian Freight went from a monthly release weekend to eleven deployments a week inside four months, and their change failure rate fell rather than rose — which is the usual result, because small changes are easier to diagnose.
Benefits
05 pointsDeployment becomes a pipeline run with a rollback, not a person following a checklist at the weekend.
Environments rebuilt from code, so staging genuinely resembles production and a compromised or corrupted environment is replaced rather than repaired.
Alerting pruned to what a human should act on at 3am. An alert set nobody trusts is worse than none, because it teaches the team to ignore the real one.
Feedback in minutes: fast test stages first, slow ones in parallel, and a pipeline that tells a developer within ten minutes whether the change is safe.
Your team runs it. We do not sell permanent managed operations, and the handover is measured by how few calls it produces.
Workflow
04 stagesMeasure delivery
Deployment frequency, lead time, change failure rate and time to restore. Four numbers that expose whether the constraint is the pipeline, the tests, the environments or the approvals.
Pipeline and environments
Build once, promote the same artefact through environments, with infrastructure defined as code. Anything applied by hand is a future outage with a delay on it.
Automate release and rollback
Staged deployment, health gates, and an automatic rollback that has been triggered deliberately in a drill rather than only described in a document.
Observability
Structured logs, traces and a small number of alerts tied to user-visible symptoms, with a runbook attached to each one.
Deliverables
06 items- CI/CD pipelines in your platform — Azure DevOps, GitHub Actions or equivalent — defined as code.
- Infrastructure as code covering every environment, with a documented rebuild procedure.
- Automated deployment with health gates and a rollback proven in a drill.
- Monitoring, logging and an alert set with a runbook per alert.
- Baseline and post-engagement delivery metrics: frequency, lead time, failure rate, restore time.
- On-call handover pack and an escalation policy.
Questions
03 entriesTransitionally, yes — during a build and for an agreed stabilisation period afterwards. Permanently, no. A team that outsources its on-call loses the feedback loop between the code it writes and how that code behaves at night, and reliability decays quietly from there. We build the capability and hand it over.
Because the monthly release is bundling thirty changes, so when it breaks you are bisecting thirty things under pressure. Smaller and more frequent is safer, not riskier — that is consistently what the failure-rate numbers show before and after. If monthly genuinely fits your regulatory rhythm, the goal becomes making the monthly release boring instead.
Probably not. It is excellent and it is a substantial operational commitment. Most applications we see are better served by a managed application platform or container service, which removes the same class of problem for a fraction of the ongoing cost in people.
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01 locationsComplete IT, software and AI solutions
- Indore, India