Connect development, operations, and automation into one continuous workflow so software reaches production reliably, repeatedly, and on demand.
We design and operate the build, test, deploy, and observability layer that makes your engineering team faster without trading off stability.
DevOps is the operating model that lets engineering teams move quickly without breaking production. It joins source control, automated testing, infrastructure-as-code, deployment, and observability into one continuous workflow – owned end-to-end by the same team that writes the software.
The teams who get DevOps right ship multiple times a day with high confidence and low blast radius. The teams who get it wrong spend their week firefighting deploys, waiting on environments, and chasing flaky tests. DataX Power closes that gap with the platform engineering practices, automation, and tooling that make rapid, safe delivery the default.
Our DevOps engagements are practical and outcome-focused: we benchmark current delivery performance against the four DORA metrics – lead time, deployment frequency, change failure rate, and mean time to recovery – and design a programme of work that improves the metrics that matter to your business.
A complete delivery platform – designed, built, and handed over to your team with full documentation and runbooks.
Build, test, security-scan, and deploy pipelines on GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or CircleCI. Multi-environment promotion, change approvals, automated rollbacks, and artefact provenance baked in.
Terraform, Pulumi, AWS CDK, or Bicep modules with state management, remote backends, and policy-as-code guardrails (OPA, Sentinel) so every environment is reproducible from a Git repository.
Docker images, Kubernetes (EKS, GKE, AKS) or ECS workloads, Helm charts, GitOps (ArgoCD, Flux), service mesh, and autoscaling policies tuned for cost and reliability.
Backstage, golden-path templates, and developer self-service so engineers can spin up services, environments, and pipelines without raising a ticket – or losing the guardrails.
Blue-green, canary, feature-flagged, and progressive deployments with automated health checks, traffic shifting, and SLO-driven rollback.
Metrics, logs, traces, and on-call workflows on Datadog, Grafana, New Relic, or open-source equivalents. Pre-configured SLOs, error budgets, and runbooks so on-call engineers know exactly what to do.
Every engagement is led by engineers who have run the systems they design – with on-call experience to match.
Production experience across AWS, GCP, and Azure means we recommend the right tool for your stack, not the one we know best.
You own the platform from day one. Documentation, runbooks, and live training are part of the deliverable, not an afterthought.
We measure success against business and DORA metrics – not the number of pipelines we built.
Share your challenge – AI, data, or infrastructure. We'll scope your project and put the right team on it.
