CI/CD · Kubernetes · IaC

Ship faster.
Break nothing.

Your product team should be shipping features, not firefighting infrastructure. We build the CI/CD pipelines, Kubernetes platforms, and cloud architecture that make deployment boring - in the best possible way.

Live Pipeline · main branch Deploying
Build
Test
Scan
Deploy
Verify
09:14:22PASSAll 214 unit tests passed in 38s
09:14:31PASSTrivy scan · 0 critical, 0 high CVEs
09:14:45PUSHImage pushed · sha256:4f2a8e91…
09:14:52ROLLkubectl rollout · canary 10% → 100%
09:14:58WAITSmoke tests running…
38sBuild Time
0Downtime
214Tests Run
0CVEs
12×
Faster mean deploy time
↑ vs pre-engagement baseline
99.95%
Pipeline success rate
across all client workloads
4 min
Average deployment cycle
build → production
0
Production incidents from deploys
this calendar year
130+
Infrastructure modules written
reused across clients

The infrastructure layer
your teams deserve

01

CI/CD Pipeline Engineering

Most CI/CD setups are stitched together under deadline pressure and never revisited. We rebuild them properly - parallel test execution, layer-cached Docker builds, environment promotion gates, and rollback logic that actually works when you need it. Average time from commit to production: under 5 minutes.

GitHub ActionsGitLab CIArgoCDTektonBuildKitDocker
12×
Faster deploys post-engagement
4 min
Commit to production avg.
Parallel test splitting and sharding
Layer-cached Docker builds
Blue/green and canary deployment logic
Automatic rollback on failed health checks
Secrets rotation integrated into pipeline
02

Kubernetes Platform Engineering

Running Kubernetes in production is a different discipline from running it in a tutorial. We design cluster architecture for your workload profile - multi-tenancy, namespace isolation, network policy, resource quotas, and autoscaling that responds to real demand, not projected demand.

Kubernetes (EKS/GKE/AKS)HelmKustomizeCiliumKEDACluster Autoscaler
99.95%
Cluster uptime SLA
70%
Cost reduction vs over-provisioned setup
Multi-cluster and multi-region topology
Namespace isolation and RBAC hardening
KEDA-based event-driven autoscaling
Network policy with Cilium
GitOps-driven cluster state with ArgoCD
03

Infrastructure as Code (IaC)

Every piece of infrastructure we touch gets defined in code, reviewed like code, and tested like code. Terraform modules are parameterised, versioned, and reusable across environments. Drift detection runs continuously. No manual click-ops, no undocumented resources, no surprises at 3am.

TerraformOpenTofuPulumiTerragruntAnsibleCheckov
130+
Reusable modules authored
100%
Infrastructure drift detected automatically
Environment parity across dev/staging/prod
Policy-as-code with Checkov and OPA
Module registry with semantic versioning
Drift detection and auto-remediation
Full audit trail for all infrastructure changes
04

Cloud Cost Engineering & FinOps

Cloud bills grow quietly. We audit your AWS, GCP, or Azure spend, identify waste, and implement guardrails - right-sized instances, Reserved Instance purchasing strategy, S3 lifecycle policies, and budget alerts before the month ends, not after.

AWS Cost ExplorerGCP Cost ManagementAzure Cost AnalysisKubecostInfracostSpot Instances
42%
Average cloud spend reduction
ROI
Positive within first 60 days
Idle resource identification and cleanup
Spot/preemptible instance strategy
Reserved instance purchasing guidance
Per-team cost allocation and showback
Budget alerts and anomaly detection
05

Observability & SRE Practice

You cannot fix what you cannot see. We instrument your services with structured logging, distributed traces, and the SLO-aligned dashboards that make on-call shifts manageable. Runbooks, escalation policies, and incident retrospective processes included.

DatadogPrometheus / GrafanaOpenTelemetryJaegerPagerDutyLoki
MTTD
Minutes, not hours
SLO
Defined and monitored for all services
Distributed tracing across all services
RED and USE method dashboards
SLO/SLA monitoring with error budgets
On-call runbook library and escalation paths
Blameless incident retrospective framework

Three principles. Every engagement.

We embed with your team - not in a separate silo. These are the operating principles that stay constant regardless of which tools, cloud, or stack you run on.

01

Everything is Code

Infrastructure, pipelines, policy, runbooks - if it exists, it lives in a repository and goes through a pull request. No undocumented resources. No manual steps. No knowledge locked in one engineer's head.

Terraform for all infra
GitOps-driven deployments
Policy as code (OPA/Checkov)
Runbooks as markdown PR'd into repos
02

Fail Fast, Recover Faster

Good pipelines catch problems early. Great pipelines recover automatically. We design for the failure case - health checks, automatic rollbacks, circuit breakers, and on-call tooling that makes recovery measured in minutes, not hours.

Canary deployments with traffic weights
Automatic rollback on failed health probes
Circuit breakers in service mesh
SLO-based error budget alerting
03

Security at the Pipeline Level

Security is not a final gate before production. Container scanning, secrets management, dependency auditing, and network policy run at every stage of the pipeline so vulnerabilities surface where they're cheap to fix - before they reach production.

Trivy/Snyk container scanning in CI
Vault or AWS Secrets Manager integration
SBOM generation per release
Automated dependency update PRs (Renovate)

Multi-cloud. Single standard.

We work across AWS, GCP, and Azure - and help organisations choose the right one rather than defaulting to whoever the sales team called first.

Amazon Web Services

Our deepest platform. EKS, RDS, Lambda, CloudFront, IAM - we have built production systems on AWS across fintech, healthtech, and enterprise SaaS. Four certified AWS engineers on staff.

EKSRDS AuroraLambdaCloudFrontIAM / SCPsAWS Control Tower

Google Cloud Platform

Preferred for data-heavy workloads and Kubernetes-native teams. BigQuery, Dataflow, GKE Autopilot, and Vertex AI integrations. Strong multi-region networking expertise.

GKE AutopilotBigQueryCloud RunVertex AICloud ArmorVPC Service Controls

Microsoft Azure

Deep experience in regulated industries where Azure is the organisational standard - AKS, Azure AD integration, Defender for Cloud, and compliance frameworks for FSI and healthcare.

AKSAzure AD / EntraDefender for CloudAzure DevOpsLog AnalyticsAzure Policy

Hybrid & Multi-Cloud

When your organisation spans more than one cloud - by design or acquisition - we build the networking, identity federation, and cost visibility layer that makes it manageable instead of chaotic.

Terraform CDKCrossplaneIstio Service MeshHashiCorp VaultCloudflarePulumi

Cloud Cost Engineering

Cloud spend that grows faster than revenue is a solvable problem. We audit, right-size, and implement the FinOps practice - tooling, governance, and culture - that keeps infrastructure costs predictable.

KubecostInfracostAWS Cost ExplorerSpot InstancesSavings PlansBudget Alerts

Cloud Security Posture

CSPM, identity governance, secrets management, network segmentation, and audit logging - the security layer that keeps your cloud compliant whether you are heading toward SOC 2, ISO 27001, or a board-level security review.

AWS Security HubWiz / OrcaHashiCorp VaultOPA GatekeeperCIS BenchmarksCSPM Tooling

The toolchain we reach for - and why.

Not trend-chasing - every tool here has earned its place through production use across multiple clients at real scale.

CI / CD
GitHub ActionsGitLab CIArgoCDTektonJenkins (legacy migration)Flux CD
Containers
KubernetesHelmKustomizeDocker / BuildKitPodmanKEDA
IaC & Config
TerraformOpenTofuPulumiTerragruntAnsibleCrossplane
Networking
CiliumIstioNginx IngressAWS ALB ControllerCloudflareTailscale
Observability
DatadogPrometheusGrafanaOpenTelemetryJaegerLoki
Security
TrivySnykVaultOPA / GatekeeperFalcoCheckov
Cloud Platforms
AWS (EKS, RDS, Lambda)GCP (GKE, BigQuery)Azure (AKS, AD)Cloudflare WorkersVercel EdgeFly.io
FinOps
KubecostInfracostAWS Cost ExplorerSpot.ioSavings PlansBudget Anomaly Detection

Questions we hear before every engagement

Practical answers on how we engage, what we take over, and what happens when the engagement ends. Anything else - ask directly.

Both models are available. We most often start with a fixed-scope infrastructure improvement project - pipeline rebuild, Kubernetes migration, IaC implementation - and then move to an ongoing SRE retainer once the foundation is solid. You choose what happens after the initial engagement.
A one-week audit. We map your current pipeline, identify the specific bottlenecks - usually slow builds, flaky tests, or missing environment gates - and deliver a prioritised remediation plan. Most teams see measurable improvement within the first two sprints, before the full rebuild is complete.
Yes - and we will give you an honest answer rather than a technology sales pitch. The right answer depends on your team's existing skills, your data gravity, and which services matter most to your roadmap. We have run multi-cloud environments and know when the complexity is worth it and when it's not.
We start by auditing your cluster resource requests vs actual usage across all namespaces - the gap is usually significant. Then we implement Vertical Pod Autoscaler recommendations, right-size request/limit ratios, add KEDA for event-driven scaling, and set up Kubecost for per-team cost visibility. Typical result: 40–60% reduction in compute spend without touching application code.
We never put secrets in pipeline YAML or environment variables if it can be avoided. Our standard is HashiCorp Vault or the native secrets manager of your cloud provider, with short-lived dynamic credentials for database and API access. CI/CD systems authenticate to Vault via OIDC - no long-lived credentials anywhere in the pipeline.
We embed with your engineering team in Slack, attend standups, and run a weekly infrastructure sync. All work is tracked in GitHub or Linear, reviewed via pull requests, and demoed each sprint. You always know what is being worked on and why - no black-box consulting.

Let's look at your pipeline together

Book a free 45-minute technical call. Bring your current CI/CD setup, your biggest deployment pain point, and your cluster metrics if you have them. We'll tell you exactly what we'd change - and why - before you commit to anything.

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