DevOps &
Automation
Ship faster, break less, and scale effortlessly with enterprise-grade CI/CD pipelines, Infrastructure as Code, container orchestration, and GitOps practices built by engineers who have done it at scale.
Ship faster, break less, and scale effortlessly with enterprise-grade CI/CD pipelines, Infrastructure as Code, container orchestration, and GitOps practices built by engineers who have done it at scale.
Manual build, test, and deployment processes take hours or days, introduce human error, and create bottlenecks where a single team member becomes the gatekeeper for every release. Your competitors are deploying 10 times a day whilst you struggle to release once a fortnight.
Without automated testing, infrastructure validation, and staged rollouts, deployments are high-risk events. Over 60% of production incidents are caused by changes — yet most organisations still deploy without proper guardrails, canary releases, or automated rollback capabilities.
Development, staging, and production environments have drifted so far apart that "it works on my machine" has become a daily frustration. Without Infrastructure as Code, reproducing environments is unreliable, debugging production issues is guesswork, and disaster recovery is fiction.
Development and operations teams work in isolation with conflicting incentives — developers want to ship fast, operations wants stability. This creates blame culture, slow handoffs, and an inability to respond quickly to incidents or changing business requirements.
We do not just implement tools — we transform how your teams build, test, deploy, and operate software. Our DevOps engagements combine platform engineering, process improvement, and culture change to create a sustainable delivery machine. Every pipeline we build is designed for your team to own and extend, with comprehensive documentation, training, and embedded coaching to ensure the transformation sticks long after our engagement ends.
Automated build, test, security scan, and deployment pipelines using GitHub Actions, Azure DevOps, GitLab CI, or Jenkins with multi-environment promotion, approval gates, and automated rollback.
Terraform, Bicep, Pulumi, or CloudFormation modules for your entire infrastructure with state management, drift detection, policy-as-code validation, and modular patterns for reuse across teams.
Production-grade Kubernetes clusters (AKS, EKS, GKE, or self-managed) with Helm charts, service mesh (Istio/Linkerd), auto-scaling, observability, and GitOps-driven deployments via ArgoCD or Flux.
Declarative, Git-driven infrastructure and application management where every change flows through pull requests, automated validation, and auditable deployment history. The Git repository becomes your single source of truth.
Full-stack observability with metrics, logs, and traces (Prometheus, Grafana, Loki, Tempo) combined with SRE practices including SLOs, error budgets, incident management, and blameless post-mortems.
Security scanning embedded at every stage — SAST, DAST, dependency scanning, container image scanning, and IaC security validation — ensuring vulnerabilities are caught before they reach production.
We evaluate your current software delivery lifecycle across 8 capability dimensions: CI/CD, IaC, testing, monitoring, security, collaboration, change management, and incident response. This produces a maturity scorecard with a prioritised improvement roadmap.
We design your internal developer platform — the toolchain, pipelines, Kubernetes clusters, and self-service capabilities that will power your delivery. Architecture decisions are documented as ADRs and reviewed with your team before implementation.
We build your CI/CD pipelines, Terraform modules, Kubernetes configurations, and GitOps workflows with your team — not in isolation. Pair programming, code reviews, and daily standups ensure knowledge transfer happens continuously, not as an afterthought.
We select a pilot application and migrate it through the new delivery pipeline end-to-end — from development through to production deployment. This validates the entire platform, identifies gaps, and builds team confidence before rolling out to all applications.
Hands-on workshops covering Terraform, Kubernetes, CI/CD best practices, and incident management. Our engineers embed with your team for 4-8 weeks, providing on-the-job coaching and progressively handing over operational responsibility.
We track DORA metrics (deployment frequency, lead time, change failure rate, MTTR) to measure improvement. The DevOps platform is iteratively refined based on team feedback and evolving requirements, then scaled to all applications across the organisation.
Elite DevOps performers deploy 208 times more frequently than low performers — moving from monthly or quarterly releases to multiple deployments per day with confidence.
Lead time from code commit to production deployment drops from weeks to under one hour — a 106x improvement that directly accelerates time to market and revenue generation.
Automated testing, staged rollouts, and canary deployments reduce the change failure rate by 7x — meaning fewer production incidents, fewer late-night war rooms, and higher customer satisfaction.
When incidents do occur, automated rollback, observability tooling, and practised incident response reduce mean time to recovery by 24x — from days to under one hour.
A B2B SaaS company with 120,000 active users was releasing updates once every 3 weeks through a manual, error-prone process involving SSH access to production servers, manual database migrations, and a 6-hour deployment window every Saturday night. Change failure rate exceeded 25%, meaning one in four releases caused a production incident. The CTO was under pressure from the board to improve delivery velocity to compete with fast-moving competitors shipping daily.
TotalCloudAI conducted a DevOps maturity assessment and designed a comprehensive transformation programme. We containerised the application using Docker, deployed a production-grade AKS (Azure Kubernetes Service) cluster with Helm charts and ArgoCD for GitOps-driven deployments. CI/CD pipelines were built in GitHub Actions with automated unit tests, integration tests, SAST scanning (SonarQube), container image scanning (Trivy), and staged promotion through dev/staging/production with automated canary releases. Terraform modules were created for all infrastructure with state managed in Azure Storage. The team received 6 weeks of embedded coaching.
Terraform
Kubernetes
Docker
GitHub Actions
Azure DevOps
GitLab CI
ArgoCD
Helm
Prometheus
Grafana
Ansible
Pulumi
SonarQube
HashiCorp Vault
JenkinsBook a free DevOps maturity assessment. We will evaluate your current delivery pipeline and identify the highest-impact improvements.