T7 Solution builds CI/CD pipelines on GitHub Actions, GitLab CI, CircleCI and Jenkins — build, test, security-scan, artifact and deploy — for backend, frontend, mobile and ML.
Slow, flaky pipelines are the silent tax on engineering velocity. Teams end up avoiding CI, skipping tests and hand-deploying — the exact opposite of the point.
We build fast, cacheable pipelines with parallelisation, secure secrets, artifact management, and gated deploys via GitOps or push-based flows.
Every pipeline ships with security scans (SAST, dependency, container), preview environments per PR and rollback in one click.
Parallel jobs, layered caches and matrix builds so CI runs in minutes, not hours.
Unit, integration, e2e and load tests wired with sharding and flaky-test detection.
SAST (Semgrep, CodeQL), dependency (Dependabot, Snyk) and container (Trivy) scans as blocking gates.
Container images, npm/PyPI/Maven packages and signed artifacts in your registry of choice.
Per-PR ephemeral environments (Vercel, Coolify, Kubernetes) with seeded data and auto-teardown.
Manual approval, canary or blue-green deploys with one-click rollback and audit trail.
We treat pipeline speed as a first-class KPI — sub-10-minute PR CI is the target, not the ceiling.
SAST, dependency and container scans block merges by default — not optional.
Every PR gets a real, seeded environment — no more 'works on my machine' review cycles.
Rollback is a button with audit, not a scramble through kubectl history.
Production AI modules we drop into your ci/cd pipelines engagement.
AI-native automation that reads, decides and acts across your systems.
Multi-agent architectures that plan, use tools and complete complex tasks.
Production-grade GPT, Claude, Gemini and open-source LLMs — grounded in your data.
Production ML for forecasting, churn, risk and pricing — trained on your data.
GitHub Actions, GitLab CI, CircleCI and Jenkins primarily. We migrate between them when the economics or DX demand it.
Yes — per-PR ephemeral environments on Vercel, Coolify, Fly.io or Kubernetes with seeded data and auto-teardown.
Yes — SAST, dependency and container scans are blocking gates by default, with a documented waiver flow for exceptions.
Yes — via ArgoCD, Argo Rollouts, Flagger or platform-native primitives depending on your target.
Talk to a senior AI consultant from T7 about your industry, workflow, or product idea. Free, no commitment — reply within one business day.
Compare the other cloud/DevOps modules or explore where DevOps meets AI.
Containerisation, Kubernetes, ECS and Nomad — right-sized to your team
Cloud architecture, server setup and managed hosting on AWS, Azure, GCP and DigitalOcean
IAM, secrets, WAF, patching, vulnerability scans and compliance readiness
PR-level review grounded in your codebase, conventions and history.