user@techtronyx:~$ cat ./services/ci-cd/manifest.yaml

[ OK ] pipeline schema validated

[ OK ] 01 of 06 services loaded

01 · continuous delivery

CI/CD Pipelines.

Stop babysitting broken builds. We design, operate, and improve your entire delivery pipeline — from the first commit to the last byte shipped to prod. Every merge becomes a non-event.

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what's included

Pipelines that
actually deliver.

Every pipeline we build is versioned, reviewable, and fast. No opaque "CI magic" — just declarative workflows your engineers can read and modify.

// 01

Pipeline Architecture

We design your CI/CD topology around your repo structure, team velocity, and compliance surface — monorepo or polyrepo, trunk-based or gitflow, we've shipped it.

// 02

Build & Test Automation

Cached, parallelised builds with matrix testing across languages and runtimes. Typical result: 3–7× faster CI, fewer flakes, deterministic outcomes.

// 03

Progressive Delivery

Blue/green, canary, and feature-flagged rollouts with automated health gates. If the SLO slips, the pipeline rolls back without a human in the loop.

// 04

Artifact & Registry Management

SBOMs, signed images, immutable tags, and retention policies across Docker Hub, ECR, GAR, ACR, or your self-hosted registry.

// 05

Environment Promotion

Dev → staging → prod promotion that's auditable, approvable, and reproducible. No more "it worked in staging" without a paper trail.

// 06

Developer Experience

Pre-commit hooks, PR previews, flakiness dashboards, and internal CLI shims so your devs spend less time waiting on pipelines and more time writing code.

pipeline-in-action

Every commit,
a confident ship.

Your engineers push code. The pipeline takes it from there — linted, tested, scanned, built, deployed, verified, and either kept or rolled back.

Branch-level policies with required checks and code owners
Ephemeral preview environments spun up per pull request
Integrated SAST, secret scanning, and dependency auditing
Automatic rollback on SLO/error-budget breach
Full deploy history and replay in Git, not a dashboard

ci-pipeline — bash — 80×24

ci@gha-runner:~$ txnx pipeline run --pr 482

» lint + typecheck ... 12s

[ OK ] 0 errors, 0 warnings

» unit tests (matrix:3) ... 1m 08s

[ OK ] 1847 passed, 0 failed

» container build + SBOM ... 42s

[ OK ] image signed → registry

» deploy preview-482.app ... 26s

[ OK ] preview ready, comment posted

[ DONE ] green in 2m 28s

how we do it

From zero pipeline
to shipping in ~2 weeks.

A structured rollout that doesn't disrupt the work already in flight. We ship value every few days, not at the end of a quarter.

[step 1]
Pipeline Audit
We map your current CI — build graph, bottlenecks, flaky tests, duplicated work — and score it against a sane baseline.
[step 2]
Design Review
We draft a target architecture: runner topology, caching strategy, deploy model, and rollback semantics — then review it with your team.
[step 3]
Phased Migration
New pipelines run in shadow mode alongside the old ones until confidence is green. No big-bang cutovers, no frozen repos.
[step 4]
Cutover & Handover
Legacy pipelines archived, runbooks handed over, developer docs published. Your team owns it, we operate it.
[step 5]
Continuous Tuning
We track lead time, deploy frequency, MTTR, and change-failure rate — and tune the pipeline each sprint to improve them.

toolchain

Tools we reach for.

We're vendor-pragmatic. If your team already runs on one of these, we'll improve it rather than replace it.

runnersGitHub Actions

runnersGitLab CI

runnersJenkins

runnersCircleCI

deliveryArgo CD

deliveryFlux

deliverySpinnaker

deliveryFlagger

buildBuildkit

buildBazel

registryECR / GAR / ACR

signingCosign

faq

CI/CD, answered.

Almost always yes. Migrating CI providers is expensive and risky — we'll only recommend it if the current one is actively blocking you. Much more often we keep GitHub Actions / GitLab CI / Jenkins and redesign how you use it.
Change detection graphs so only affected packages rebuild and retest, remote caching for shared artifacts, and per-package deploy targets. We've run monorepos from 10 services up to 400+.
The DORA four: lead time for changes, deploy frequency, mean time to restore, and change-failure rate. Plus pipeline-specific metrics — p95 build time, flake rate, queue depth. All pushed to your observability stack, not ours.
Yes — LaunchDarkly, Unleash, Flagsmith, or a rolled-by-us option. Flags are how you decouple deploy from release, which is how you ship on Fridays without fear.

contact

Ready to ship faster?

Book a free 30-minute pipeline review. We'll look at your current CI, point out the 3 highest-leverage fixes, and tell you honestly whether we're a fit.

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