CI/CD and artifact pipelines
Build, test, scan, and promote immutable artifacts with branch protection and a recorded deployer, including mobile and container flows.
DevOps
Make shipping the least dramatic part of the week.
We build pipelines, environments, and feedback loops that turn a merge into a verified deploy, with rollback, secrets, and signals your team will actually look at.
stage 0
Plan
stage 1
Build
stage 2
Gate
stage 3
Stage
stage 4
Prod
quality.gate · coverage · a11y · load · security
01The work
Delivery machinery that makes every merge safer than the last.
DevOps is not a job title and not a cloud bill. It is the system that takes code from a pull request to a running environment with evidence. Codeaxes maps how you build, test, approve, and release today, including the unofficial SSH path. Then we replace folklore with pipelines, immutable artifacts, and environment promotion. Quality gates belong here as automation the team trusts, complementary to the QA practice that designs the cases. Platform work, golden paths, preview environments, is in scope when product teams are blocked on tickets for every database. Observability is designed for the questions on-call will ask at 2 a.m., not a wall of unused dashboards.
02Problems
What this service is for.
01
Production is deployed from a laptop, and nobody can reconstruct what shipped last Thursday.
02
CI is a wall of flaky jobs that people skip with an empty commit.
03
Secrets live in env files on disk, copied into Slack when someone joins.
04
Staging does not resemble production, so every release is a first-time event.
05
There is no rollback that does not involve restoring a database from memory.
06
Alerts fire constantly, or never, so on-call learns to ignore the channel.
03Capabilities
What we actually deliver.
Infrastructure as code
Terraform or equivalent for environments that can be reviewed, reproduced, and torn down without console archaeology.
GitOps and environment promotion
Declared desired state for Kubernetes or app platform deploys, with promotion from preview to staging to production that is the same motion every time.
Secrets, identity, and policy
Vault or cloud secret stores, OIDC to cloud roles, and least privilege so a leaked laptop is not a leaked production database.
Observability and SLO signals
Logs, metrics, traces, and a small set of alerts mapped to user-facing failure, plus error budgets the team can talk about in standup.
Developer platform basics
Preview environments, golden templates, and self-service paths that remove the ticket queue for “please stand up a database.”
- ▹ Pipeline as code covering test, scan, build, and deploy
- ▹ Infrastructure as code for at least two environments
- ▹ Secret and identity design with rotation notes
- ▹ Promotion and rollback runbook, rehearsed once
- ▹ Observability baseline: dashboards and alerts tied to user journeys
- ▹ Contributor docs so a new engineer can ship without a tribal walkthrough
04Workflow
How this engagement runs.
01
Delivery archaeology
We watch a real release, including the parts that happen in chat and on personal machines, and list every unrecorded step.
02
Golden path design
The default way to ship one service is specified: tests required, artifact produced, environment targeted, rollback command.
03
Pipeline and IaC
CI, environments, and secrets land first for one service so the pattern is proven before it is copied.
04
Signals and rehearsal
We break a staging deploy on purpose, practice rollback, and tune alerts until noise is lower than signal.
05
Spread and own
The path is rolled to remaining services with named owners, and a backlog for platform improvements that product teams feel.
05Fit
Industries and stack.
Industries
7 sectors
- SaaS
- Fintech
- Healthcare
- Ecommerce
- Logistics
- Media
- Manufacturing
Typical stack
Tools we actually operate
06Use cases
Where this shows up in production.
From laptop deploys to a pipeline
A product team gets branch protection, artifacts, and a one-command rollback, and production SSH becomes break-glass only.
Preview environments per pull request
Design and QA review a live URL per change, then the same chart promotes to staging, which cuts “works on my machine” arguments.
Regulated release evidence
Every production change has who, what artifact, which tests, and a ticket link, suitable for a questionnaire rather than a reconstructed chat log.
Noisy on-call cleanup
Alerts are rebuilt around a few SLOs. The channel goes quiet enough that a page means something.
- Releases that can be reconstructed after the fact
- Environments defined in code, not in a console
- Secrets and identity that survive staff changes
- Rollback that has been practiced
- Alerts mapped to user impact instead of host CPU folklore
07Work
Related case studies.
Manufacturing and Enterprise Operations
AxisOps Manufacturing
AxisOps digitized work orders and quality checks on the plant floor while keeping ERP production orders as the system of record.
- TypeScript
- React
- Node.js
Floor visibilitySupervisors see open exceptions without floor walks for every question
Open study
SaaS and Technology
Northline Analytics
Northline needed one analytics workspace model for self-serve teams and enterprise accounts without maintaining parallel codebases or fragile permission hacks.
- TypeScript
- Node.js
- PostgreSQL
Provisioning timeHours → minutes for standard enterprise workspaces
Open study
Fintech and Financial Services
LedgerKit
LedgerKit required onboarding that felt fast to applicants while giving risk and ops teams defensible case files, not screenshots scattered across email.
- TypeScript
- Node.js
- PostgreSQL
Applicant clarityStatus page aligned to actual pipeline stage
Open study
Logistics and Mobility
RouteWise Mobility
RouteWise built a dispatch platform that prioritizes exceptions, supports dispatcher overrides, and keeps drivers productive when connectivity is unreliable.
- TypeScript
- Go
- PostgreSQL
Dispatcher focusExceptions surfaced before routine stop noise
Open study
08FAQ
Questions about DevOps.
How is DevOps different from QA testing?
QA designs cases, risk coverage, and whether the product is fit to ship. DevOps automates how that evidence is gathered on every merge and how a passing build becomes an environment. We often staff both; they are not substitutes.
How is DevOps different from cloud computing?
Cloud computing is the landing zone, accounts, and workload placement. DevOps is the path code takes onto that cloud, and how you see it once it is there. A landing zone without pipelines still ships from laptops.
Do you require Kubernetes and GitOps?
Only when they reduce toil. A small product on Cloud Run or ECS can have excellent DevOps with GitHub Actions and IaC. We will not install a cluster to look modern.
Will you be our on-call team?
We can share on-call during a handover window. Long-term ownership should sit with your operators, with our retainer as backup if that is the contract. We do not silently become a 24/7 NOC without saying so in the SOW.
How do DevOps engagements differ from cloud or QA work?
Cloud is where systems run. DevOps is how code gets there and how you see it: pipelines, IaC, secrets, promotion, and alerts. QA designs the cases and risk coverage those pipelines should enforce. They complement each other.
Can you take over an existing Terraform or CI setup?
Usually. We start with how a real release happens today, including unofficial steps, then stabilize state, secrets, and flaky jobs before adding platform features.