End-to-end DevOps platform engineering: CI/CD pipeline design, Kubernetes platforms, infrastructure as code, observability, and internal developer portals. DORA-metric-driven delivery for engineering teams in India, UAE, USA, Europe, and Australia.
Most engineering organisations sit at Level 1 or 2 — shipping slowly, absorbing unnecessary incident load, and building on foundations that won't scale. Platform engineering is the systematic path to Level 4.
* Maturity model adapted from DORA State of DevOps research and the CNCF Platform Engineering maturity model. Most organisations begin an engagement at Level 1–2 and reach Level 3–4 within 6–12 months.
The four DORA metrics are the industry standard for measuring software delivery performance. Here's what clients typically see after a platform engineering engagement.
Engineering teams shipping continuously rather than batching risk into big-bang releases.
From merged pull request to live production — measured end-to-end across the entire delivery chain.
Automated testing, progressive delivery, and rollback capabilities reduce production failures significantly.
Centralised observability, automated alerts, and practised runbooks cut mean recovery time drastically.
* DORA (DevOps Research and Assessment) metrics sourced from Google's Accelerate research and the annual State of DevOps Report. Outcomes reflect aggregate client results and are not guaranteed for every engagement.
Deploy frequency, lead time, MTTR, change failure rate — we'll measure where you are and show you the two or three fixes that'll move the needle.
Request Your DORA AuditFrom pipeline automation to full internal developer platforms — six capability areas that cover the complete DevOps engineering stack.
End-to-end pipeline design and implementation using GitHub Actions, GitLab CI, or Jenkins — with automated testing, security scanning, and gated promotion across environments.
Terraform and Pulumi modules for AWS, Azure, and GCP — versioned, reusable, and enforced via policy-as-code. No more configuration drift or manual cloud console changes.
Production-grade Kubernetes clusters — cluster design, Helm chart libraries, namespace governance, resource policies, and GitOps delivery via Flux or Argo CD.
Self-service developer portals built on Backstage or Port — service catalogues, scaffolding templates, integrated runbooks, and golden-path workflows reducing cognitive load.
Unified observability stacks — Prometheus, Grafana, Datadog, or Elastic — with SLO/SLA dashboards, alerting runbooks, on-call rotation design, and incident post-mortem frameworks.
Security embedded into every pipeline stage — SAST, DAST, container image scanning, secrets detection, and compliance-as-code for SOC 2, HIPAA, and ISO 27001 controls.
A structured six-phase approach — from understanding your current state to handing over a platform your team is confident running independently.
We map your current toolchain, deployment workflows, DORA baselines, and identify the highest-impact bottlenecks before writing a single line of configuration.
Architecture decisions for CI/CD, IaC, container strategy, observability, and developer portal — documented and agreed before build starts.
Core platform components stood up: pipeline templates, IaC modules, base Kubernetes clusters, and observability stack with initial dashboards and alerts.
Existing services migrated onto the new platform in priority order — each with smoke tests, rollback plans, and runbook updates as they move.
Developer onboarding sessions, golden-path documentation, and self-service portal configuration. Your team owns the platform, not just uses it.
DORA metrics review, cost optimisation pass, security posture hardening, and optional ongoing SRE retainer for continued platform evolution.
We work with the tools your team already uses — or help you select the right combination based on your scale, cloud provider, and compliance posture.
CI/CD
Infrastructure as Code
Containers & Orchestration
GitOps & Delivery
Observability
Developer Portals
AI & AIOps Capabilities
Where maturity allows, we also integrate AIOps capabilities into the observability layer — ML-based anomaly detection, automated root cause analysis, and intelligent alerting noise reduction. On the pipeline side, AI-assisted code review, automated test generation, and LLM-powered runbook synthesis are available as platform add-ons that reduce toil and improve mean time to resolution.
We've delivered DevOps platforms for organisations across India, UAE, USA, Europe, and Australia — including highly regulated sectors where pipeline security and compliance evidence are non-negotiable.
Concrete outcomes from DevOps platform engagements — measured in deployment frequency, lead time, and compliance milestones.
Built a multi-account AWS landing zone with Terraform, AWS Organizations, Sentinel/OPA policies, Transit Gateway, and centralised observability. 80% faster provisioning, 85% infrastructure automation, 60% fewer incidents.
Read Case StudyMulti-account AWS landing zone for Meddilink with Terraform IaC, audit-ready pipelines, secrets rotation via AWS Secrets Manager, and CloudWatch-based observability across 250+ tenant environments.
Read Case StudyDesigned a microservice and DevOps platform on Azure for Wonder Cement's in-plant logistics — Service Bus, Blob Storage, Azure Cache, and IoT integration. 3-month delivery with zero ongoing AMC cost.
Read Case StudyOur cloud and DevOps team holds hands-on certifications and production experience across AWS, Azure, GCP, and multi-cloud — not generalist IT consultants repackaging tutorials.
We baseline your four key DORA metrics at the start of every engagement and track them throughout. Our success is measured in deployment frequency and MTTR — not ticket counts.
DevSecOps is not an add-on service for us. Security scanning, secrets management, and policy-as-code are part of every pipeline we build — covering SOC 2, HIPAA, and ISO 27001 environments.
We build platforms your engineers want to use. Golden-path documentation, self-service portals, and hands-on training ensure your team owns and evolves the platform after we hand over.
Production experience across AWS, Azure, and GCP for clients in India, UAE, USA, Europe, and Australia. We understand data residency, compliance, and latency requirements by region.
Common questions about DevOps and platform engineering — answered clearly.
