DevOps & Infrastructure

We engineer the delivery pipelines, platform infrastructure, and operational practices that let your teams ship faster, sleep better, and scale with confidence.

Ship Faster. Break Less. Sleep More.

Slow deployments, manual processes, and fragile infrastructure are engineering tax. Clarieon.ai removes that tax — building automated, observable, and resilient systems that let your developers focus on product, not plumbing.

  • CI/CD pipelines that deploy safely in minutes, not hours
  • Infrastructure as Code for repeatable, auditable environments
  • Kubernetes platform engineering at any scale
  • Full observability: metrics, logs, traces, and alerts
  • SRE practices: SLOs, error budgets, and incident management
Talk to a DevOps Expert

Automate Everything. Trust Your Platform.

From first commit to production deployment, we eliminate manual toil, enforce best practices automatically, and build infrastructure that heals itself — so your team can move fast without fear.

What We Build

OUR CORE DEVOPS & INFRASTRUCTURE CAPABILITIES

CI/CD Pipeline Engineering

We design and build automated CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or CircleCI — with staged deployments, automated testing, security scanning, and rollback capabilities baked in from day one.

Kubernetes Platform Engineering

We design, deploy, and operate production Kubernetes clusters on EKS, AKS, or GKE — including cluster hardening, Helm chart management, autoscaling, multi-tenancy, service mesh (Istio/Linkerd), and GitOps workflows with ArgoCD or Flux.

Infrastructure as Code (IaC)

We codify your entire infrastructure with Terraform, Pulumi, or AWS CDK — enabling version-controlled, peer-reviewed, and fully repeatable environments across dev, staging, and production with a single command.

Observability & Monitoring

We implement full-stack observability with Prometheus, Grafana, Datadog, or OpenTelemetry — covering infrastructure metrics, application traces, structured logging, and SLO-based alerting so nothing hides in the dark.

DevSecOps & Security Automation

Security integrated into every pipeline stage — SAST, DAST, container image scanning, secrets detection, dependency audits, and policy-as-code with Open Policy Agent — so vulnerabilities are caught before they ship.

Site Reliability Engineering (SRE)

We implement SRE principles — defining SLIs/SLOs/SLAs, building error budgets, designing incident response playbooks, and conducting post-mortems — turning reactive firefighting into proactive reliability engineering.

How We Engage

OUR DEVOPS TRANSFORMATION APPROACH

Step 01
Maturity Assessment

We audit your current pipelines, infrastructure, tooling, and processes — identifying bottlenecks, risks, and the highest-impact improvements to prioritise.

Step 02
Roadmap & Architecture

We build a prioritised DevOps transformation roadmap and design the target-state infrastructure and tooling architecture aligned to your business goals.

Step 03
Implementation & Migration

We implement incrementally, migrating existing workloads safely while building new capabilities — minimising disruption and ensuring your teams stay productive throughout.

Step 04
Enablement & Handover

We document everything, train your team, and ensure they can operate and evolve the platform confidently — with optional embedded SRE support for ongoing operations.

Tech Stack

TOOLS & PLATFORMS WE WORK WITH

Kubernetes
Docker
Terraform
GitHub Actions
Grafana
Prometheus
ArgoCD
AWS / Azure / GCP
.NET / ASP.NET Core

What You Gain

MEASURABLE OUTCOMES FROM DEVOPS EXCELLENCE

Faster Deployment Cycles

From deploying once a week to multiple times a day. Our CI/CD automation removes the manual steps that slow teams down and introduce human error.

Higher System Reliability

SLO-driven operations, automated alerting, and chaos engineering practices push production reliability toward 99.9% uptime — with faster mean-time-to-recovery when incidents do occur.

Stronger Security Posture

Automated security scanning in pipelines, least-privilege IAM, and policy-as-code mean vulnerabilities are caught automatically — not discovered during a breach.

Reduced Infrastructure Costs

Right-sizing, autoscaling, and spot instance strategies consistently cut cloud spend by 20–40% — with cost visibility dashboards that keep engineering and finance aligned.

Happier Engineering Teams

Eliminating manual toil, on-call fatigue, and deployment anxiety improves developer experience, retention, and productivity — freeing your best engineers for what matters most.

Effortless Scaling

Autoscaling policies, self-healing workloads, and infrastructure-as-code mean scaling up for a product launch or traffic spike is a configuration change, not a fire drill.

Ready to Transform Your Engineering Velocity?

Let's assess your current DevOps maturity and build a roadmap to faster, safer, and more reliable software delivery.

Start a Conversation Cloud & SaaS Services