Your engineers should ship features, not manage pipelines. Apeniq Cloud's DevOps consulting practice eliminates the manual gates, brittle scripts, and configuration drift that slow enterprise engineering teams to a crawl. We design, build, and hand over battle-tested CI/CD pipelines, GitOps-driven Kubernetes platforms, and fully version-controlled IaC foundations — cutting average deployment frequency from monthly to multiple times per day, with zero-downtime guarantees.
Certified Technology Stack
CI/CD Platforms
Container & Orchestration
Infrastructure as Code
Observability & Quality
Our Methodology
A proven engagement model built around measurable outcomes — not billable hours.
We benchmark your current state against the DORA metrics (Deployment Frequency, Lead Time, Change Failure Rate, MTTR) and the DevOps Research & Assessment capability model. You receive a score across 24 capabilities — from source control practices to production observability — and a prioritised improvement roadmap with estimated delivery timelines for each initiative.
We design your CI/CD architecture before writing a single YAML file. This includes branching strategy (trunk-based vs Gitflow), environment promotion flow (dev → staging → canary → production), secret management patterns (HashiCorp Vault, AWS Secrets Manager, or Azure Key Vault), and pipeline security — SAST, DAST, SCA, and container scanning baked into every build.
We provision production-grade Kubernetes clusters on EKS, AKS, or GKE with a hardened baseline: RBAC policies, PodSecurity admission controllers, network policies (Cilium or Calico), cluster autoscaler, and KEDA for event-driven scaling. Helm charts are developed for all application workloads and stored in a versioned chart repository. GitOps delivery via ArgoCD or Flux CD ensures every cluster state is git-reconciled.
All existing infrastructure — whether click-ops AWS console resources, ARM templates, or hand-managed servers — is imported into Terraform state and refactored into reusable modules. We enforce Terraform best practices: remote state in S3/Azure Blob, state locking via DynamoDB, mandatory plan approval via Atlantis, and Sentinel or OPA policy-as-code for compliance guardrails.
We implement the deployment patterns your SLA demands: blue/green deployments via AWS CodeDeploy or Argo Rollouts for instant cutover and rollback; canary releases with automated metric-based promotion gates using Datadog or Prometheus; and feature flags via LaunchDarkly or Flagsmith for decoupling deployment from release. Every pattern is tested with chaos injection before going to production.
A DevOps platform is only as good as the team operating it. Every Apeniq Cloud engagement includes structured knowledge transfer: runbooks in Confluence, annotated Terraform and Helm code, recorded walkthroughs for every pipeline, and hands-on pair-programming sessions with your engineers. We also define on-call runbooks and PagerDuty escalation policies so your team is self-sufficient from day one.
The 52-point checklist our engineers use to harden CI/CD pipelines before every enterprise go-live. Covers secret scanning, container security, pipeline RBAC, SAST/DAST integration, and Kubernetes admission controls.
Delivered to your inbox. No spam, ever.
We start with a 2-week DevOps Maturity Assessment that benchmarks your current pipeline, deployment practices, and infrastructure management against the DORA metrics. From there we deliver a phased improvement roadmap — typically 3 to 6 months — covering pipeline modernisation, Kubernetes platform build, IaC migration, and observability stack deployment. We work alongside your engineers rather than taking over, with knowledge transfer baked into every sprint.
Zero-downtime deployment is a function of architecture, not just tooling. For stateless applications, we implement blue/green deployments behind an Application Load Balancer or Nginx ingress, with instant DNS-weighted cutover and automated rollback on failed health checks. For stateful services, we use canary releases with Argo Rollouts and metric-based promotion gates — only advancing to 100% traffic if error rates and latency stay within defined SLOs. Database schema changes are handled with expand-contract pattern and backwards-compatible migrations.
GitOps is the practice of using a git repository as the single source of truth for both application and infrastructure state. Tools like ArgoCD or Flux CD continuously reconcile the live Kubernetes cluster state against what's declared in git — if someone applies a manual change to the cluster, it gets reverted automatically. For enterprise teams, this means full auditability of every change, consistent environments across clusters, and the ability to recover a cluster from scratch by replaying git history.
We enforce a zero-plaintext-secrets policy across all pipelines. Secrets are stored in HashiCorp Vault, AWS Secrets Manager, or Azure Key Vault and injected into pipeline runners at runtime via the Vault Agent, AWS IAM roles for service accounts, or Azure Workload Identity. We also integrate secret scanning tools (TruffleHog, GitGuardian) into pre-commit hooks and pipeline stages to catch any accidental commits before they reach the remote repository.
Yes — DevSecOps integration is a core part of our engagement model. We integrate SAST tools (SonarQube, Semgrep, Checkmarx), DAST (OWASP ZAP, Burp Suite Enterprise), software composition analysis (Snyk, Dependabot), and container scanning (Trivy, Clair) into your CI/CD pipelines as mandatory quality gates. We also map pipeline controls to your compliance framework — whether SOC 2, ISO 27001, or PCI-DSS — and generate the evidence artefacts your auditors need automatically on every build.
Based on our client outcomes, teams in the bottom two DORA tiers (low/medium performers) typically move to the high or elite tier within 6 months of our engagement. Deployment frequency increases from monthly or weekly to daily or multiple times per day. Lead time for changes drops from weeks to hours. Change failure rate falls below 5%. And MTTR (mean time to recovery) reaches under 1 hour. We track these metrics throughout the engagement so you have before/after evidence.