Signs you need this
- Deployments are manual, infrequent and nerve-wracking.
- Secrets live in repositories or chat messages.
- An audit is coming and evidence would have to be assembled by hand.
Overview
Security and speed are not a trade-off when the pipeline does the work: secret scanning, static analysis, dependency and container scanning, and hardened cloud identity, all gating every release automatically.
We set up and run cloud infrastructure and CI/CD for AWS, Azure and GCP, with the DevSecOps controls that make audits routine rather than painful.
How this differs from QA & Test Automation: Cloud & DevSecOps secures and automates infrastructure and releases; QA & Test Automation verifies the product's behaviour inside those releases.
What we deliver
- CI/CD pipelinesGitHub Actions workflows with build, test, scan and deploy stages.
- Infrastructure as codeReproducible environments with Terraform or CloudFormation.
- Security scanningTruffleHog, Bandit, Semgrep, OWASP ZAP and Trivy gating merges and releases.
- Identity hardeningOIDC-based deployments, least-privilege IAM and secrets management.
- Containers & orchestrationDocker images and Kubernetes or ECS Fargate deployments.
- ObservabilityLogging, metrics, tracing and alerting wired to on-call.
Where it fits
Release gatingEvery merge scanned and tested before it can reach production.
Cloud migrationMove workloads to the cloud with security and cost controls in place.
Compliance readinessEvidence-producing pipelines for HIPAA, DPDP, SOC-style audits.
Platform engineeringGolden paths so product teams deploy without waiting on ops.
Technology we use
Chosen per project. We are vendor-neutral and will recommend what fits your constraints.
AWS (ECS Fargate, EC2, S3, RDS)AzureGCPDockerKubernetesGitHub ActionsTerraformTruffleHogBanditSemgrepOWASP ZAPTrivy
How we work
Assessment
Current pipelines, cloud posture and the risks that matter most.
Design
Target pipeline, infrastructure layout and security controls.
Implementation
Infrastructure as code, pipelines and scanners, rolled out incrementally.
Handover
Runbooks, dashboards and training for your team.
Typical first engagement
A pipeline and cloud-posture assessment, then a hardened CI/CD baseline with scanning gates on one repository as a template.
Common questions
Which cloud do you prefer?
We work across AWS, Azure and GCP and recommend based on your existing footprint and requirements.
Will scanning slow down our pipeline?
Not meaningfully. Scans run in parallel and only block on findings above an agreed severity.
Do you offer ongoing support?
Yes. We can operate the platform with you or hand it over fully documented.
