Consistent pipelines across clouds
The same promotion, gate, and evidence story on AWS and Azure without three disconnected playbooks.
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CI/CD, security checks, runners, approvals, and release evidence that stay consistent on GitLab, Azure DevOps, or AWS CodePipeline.
Platform assurance across delivery, observability, and resilience
Governed delivery
Cloud observability
Resilience testingOne delivery outcome on the toolchain you already use, with evidence buyers, auditors, and engineering leaders can follow.
The same promotion, gate, and evidence story on AWS and Azure without three disconnected playbooks.
Scans and policy checks wired into merge and release instead of skipped under pressure.
Build capacity, credentials, and artefact promotion with ownership that scales with your estates.
Approvals, change records, and test outcomes aligned when procurement or regulators ask how production changed.
Teams ship faster than leadership can explain how change reached production, especially when pipelines vary by squad and cloud.
Each squad ships with different tooling, gates, and promotion rules, so leadership cannot compare readiness across estates.
Scans and policy gates are bolted on late, skipped under pressure, or duplicated across toolchains.
Build capacity, credentials, and artefact promotion lack a single operating model buyers and auditors can follow.
Approvals, change records, and test outcomes do not line up when stakeholders ask how a production change was authorised.
We design and operate delivery control planes on GitLab by default, with the same outcome shape on Azure DevOps or AWS CodePipeline when that is your anchor.
Merge requests, protected branches, CI/CD templates, container builds, registry promotion, and DevSecOps gates in one audit-friendly flow.
YAML pipelines, environments, approvals, and artefact feeds aligned to Entra identity and Azure landing zones.
CodePipeline, CodeBuild, and IAM-bound promotion paths where AWS-native delivery is required.
Runner strategy, secrets handling, deployment windows, and release artefacts documented for risk and engineering leadership.
Expand each block to review delivery scope, fit signals, outcomes, sibling programmes, and the staged approach across GitLab, Azure DevOps, and AWS-native paths.
We scope pipeline standards, security gates, runner and secrets strategy, and release evidence your teams can operate daily across AWS and Azure estates.
Documented merge, build, test, and promotion paths that stay consistent whether GitLab, Azure DevOps, or AWS CodePipeline is the anchor.
Scans and policy checks wired into delivery instead of bolted on after merge or skipped under release pressure.
Build capacity, credentials, and artefact promotion with ownership buyers and auditors can follow.
Approvals, change records, and test outcomes aligned for procurement, regulators, and engineering leadership.
If several signals below reflect how your team ships, a governed delivery path may be the right next conversation.
You need the same delivery discipline on AWS and Azure without relearning a new story per vendor.
You want speed with approvals, scans, and promotion rules leadership can defend.
GitLab, Azure DevOps, or AWS-native delivery needs one operating model, not three exceptions.
You need release evidence, runner ownership, and change control that stands up in a room.
These outcomes are what the programme is designed to deliver: standards your teams run, gates in the path, and evidence stakeholders can trust.
Documented pipeline standards and promotion paths.
Security and quality gates in the delivery path.
Runner, registry, and secrets strategy that scales.
Release evidence and operating rhythm leaders trust.
Governed delivery can address a specific toolchain or evidence gap, or sit alongside observability and resilience programmes when multiple assurance questions land together.
Compare governed delivery with cloud observability and resilience testing when leadership needs a single column story.
Explore Platform Assurance overviewPair delivery discipline with metrics, logs, traces, and incident evidence when operations questions follow pipeline change.
Explore Cloud ObservabilityValidate performance and security in the same operating rhythm as delivery when releases need proven behaviour under load.
Explore Resilience Testing
The work is practical, scoped, and focused on delivery control planes your team can run and explain under review.
We start with toolchain sprawl, audit timing, release evidence gaps, or multi-cloud promotion inconsistency.
We review GitLab, Azure DevOps, or AWS-native paths, gates, runners, secrets, and promotion rules.
We define standards, templates, environments, and evidence artefacts that fit your anchor toolchain.
We wire gates, runners, registry promotion, and release records teams can operate daily.
Governed delivery becomes part of the rhythm through reviews, metrics, and improvement actions.
The value is not enabling tools in isolation. The value is shaping pipelines, gates, and release evidence into one operating model your team can run daily. Approvals, change records, and test outcomes sit in that rhythm, not as a separate vendor row.
Merge requests, CI/CD templates, registry promotion, and DevSecOps gates in a single audit-friendly flow.
YAML pipelines, environments, approvals, and artefact feeds aligned to Microsoft landing zones.
CodePipeline and CodeBuild promotion paths where AWS-native delivery is the anchor.
Compare sibling programmes when more than one assurance question is in play.
Metrics, logs, traces, and cost signals in one operating model, Datadog-led with AWS-native depth where required.
Explore Cloud ObservabilityFunctional automation, performance testing, and penetration testing with evidence for production readiness.
Explore Resilience TestingTell us where pipeline sprawl or weak release evidence is blocking confidence. We will shape a governed delivery path on the toolchain you already use.