Cloud & Data
DevOps & Platform Engineering
CI/CD, infrastructure as code, and internal developer platforms that turn deployment from a monthly ceremony into a non-event — measured in DORA metrics, not promises.
Overview
Why it matters
The gap between elite and average software organizations is now brutally measurable. DORA's research across tens of thousands of teams shows elite performers deploy on demand, recover from incidents in under an hour, and change-fail less than teams that deploy quarterly. That performance isn't heroics — it's infrastructure: automated pipelines, declarative environments, observability, and a platform that makes the fast way the easy way.
Our practice builds that infrastructure. CI/CD pipelines with automated testing, security scanning, and progressive delivery; infrastructure as code so environments are reproducible artifacts rather than hand-tended snowflakes; observability that lets engineers ask new questions of production without shipping new code; and SRE practices — SLOs, error budgets, blameless postmortems — that make reliability an engineering target instead of an aspiration.
Increasingly, the work culminates in platform engineering: an internal developer platform (IDP) that offers golden paths — templated services with pipelines, infrastructure, and guardrails included — through a self-service portal. Done right, a platform makes the compliant path the path of least resistance, and your delivery metrics move because the friction is gone, not because anyone pushed harder.
Business challenges
The problems this practice exists to solve
Deployments as high-risk ceremonies
Monthly release windows, change advisory boards, weekend cutovers, and a rollback plan that's really a prayer. Each release is huge because releases are rare — and risky because they're huge.
Environments built by hand, drifted by default
Staging doesn't match production, nobody can rebuild either from scratch, and 'works in staging' is a superstition. Every incident investigation starts with 'what's different?'
Ops as the bottleneck for everything
Every environment, database, and firewall change queues behind one overloaded team. Developers wait days for what should be minutes — and invent shadow infrastructure to cope.
Flying blind in production
Logs scattered across systems, metrics without traces, alerts that page on symptoms hours after users noticed. Mean-time-to-detect is measured by customer complaints.
Our solution
How we engineer it
We begin with a value-stream map: where does a change actually spend its time between commit and production? The answer — usually queues, manual gates, and environment contention rather than build times — sets the roadmap. Then we automate the path: trunk-based CI with fast test feedback, security and quality scanning in the pipeline (shift-left, not gate-right), artifact promotion through environments defined entirely in Terraform, and progressive delivery — canary and blue-green deployments with automated rollback on error-budget burn.
Observability is engineered as a system: structured logs, metrics, and distributed traces correlated through OpenTelemetry, dashboards oriented around user-facing SLOs rather than CPU graphs, and alerting that pages on symptoms users feel, with runbooks attached. Paired with SRE practice — explicit SLOs, error budgets that regulate the speed-versus-stability trade-off, and blameless postmortems — production stops being a place engineers fear.
At organizational scale, we build the platform layer: an internal developer platform (Backstage or equivalent) where teams self-serve new services from golden-path templates — repository, pipeline, infrastructure, observability, and security guardrails included — in minutes. Platform engineering is a product discipline, so we staff it like one: developer-experience research, adoption metrics, and a roadmap driven by what actually slows your teams down. DORA metrics are baselined at the start and reported throughout — the engagement succeeds when the numbers move.
Capabilities
What devops & platform engineering covers
CI/CD & progressive delivery
Trunk-based pipelines with automated testing, security scanning, artifact promotion, and canary/blue-green deployment with automated rollback — releases as routine events.
Infrastructure as code
Terraform-defined environments with module libraries, policy-as-code (OPA), drift detection, and review workflows — infrastructure changes as pull requests, not tickets.
Internal developer platforms
Backstage-based portals with golden-path service templates, self-service environments, and scorecards — the paved road that makes compliance the default.
Observability engineering
OpenTelemetry instrumentation, correlated logs/metrics/traces, SLO-oriented dashboards, and alerting that pages on user impact with runbooks attached.
SRE & reliability practice
SLO definition, error budgets, incident management, chaos engineering, and blameless postmortem culture — reliability as an explicit engineering target.
DevSecOps & supply chain security
SAST/DAST and dependency scanning in-pipeline, secrets management, SBOM generation, and artifact signing — security that ships with every build instead of blocking it.
Technology stack
Tools we deploy to production every week
Pragmatic about tools, opinionated about architecture — the platforms below are the ones this practice ships with, chosen per engagement on evidence.
CI/CD & GitOps
- GitHub Actions
- GitLab CI
- Argo CD
- Flux
- Jenkins (modernization)
Infrastructure & Policy
- Terraform
- Ansible
- Open Policy Agent
- Vault
- Packer
Runtime
- Kubernetes
- Helm
- Istio / Linkerd
- Karpenter
- AWS / Azure / GCP
Observability & Platform
- Prometheus / Grafana
- OpenTelemetry
- Datadog
- PagerDuty
- Backstage
Implementation process
Five stages. No surprises.
A delivery model refined over 250+ engagements — sequenced so leadership gets visibility and your teams get momentum.
Value-stream & maturity assessment
We map commit-to-production flow, baseline DORA metrics, and identify the constraints — usually queues and manual gates — that the roadmap must attack first.
Pipeline & infrastructure foundation
CI/CD for a pilot service, environments in Terraform, and security scanning in-pipeline — proving the pattern end to end before scaling it.
Observability & reliability layer
OpenTelemetry instrumentation, SLO definitions with your product owners, alert rationalization, and incident process — production made legible.
Platform & golden paths
Service templates, self-service portal, and guardrails rolled out team by team — with adoption measured and friction fixed like product feedback.
Enablement & handover
Pairing, runbooks, game days, and a platform operating model — your engineers run the system, with DORA dashboards proving the delta.
Use cases
Where enterprises apply it
Deployment pipeline modernization
From monthly release ceremonies to on-demand deploys with automated testing and rollback — usually the fastest morale win in engineering.
Internal developer platform build
Golden-path templates and self-service infrastructure for an organization of 50+ engineers drowning in ticket-ops.
Kubernetes adoption done right
Cluster architecture, GitOps delivery, tenancy, and cost visibility — Kubernetes as a platform, not a science project.
Observability overhaul
From scattered logs to correlated traces and SLO dashboards — cutting mean-time-to-detect from hours to minutes.
Compliance automation
Policy-as-code, pipeline evidence capture, and audit-ready change trails for SOC 2, ISO 27001, or FedRAMP-bound organizations.
Incident management & SRE adoption
SLOs, error budgets, on-call design, and postmortem culture — installed with leadership alignment, not just tooling.
Outcomes
Results clients report to their boards
26x
increase in deployment frequency (monthly to daily-plus) at a financial services client
83%
reduction in change failure rate after progressive delivery adoption
9 min
median time from merge to production across a 200-service estate
70%
fewer ops tickets after developer platform self-service rollout
FAQs
Questions leaders ask us
Direct answers on devops & platform engineering — the same ones we give in the first consultation.
Related services
Practices that pair with this one
Ready to put devops & platform engineering to work?
In a 45-minute consultation, our architects map your highest-ROI opportunity, outline a delivery plan, and give you a realistic budget range — no obligation.