Service · Engineering
Make releasing software a routine, low-risk event.
We build the CI/CD pipeline and day-2 operations that let your team ship often and sleep at night — on AWS, Azure, or GCP, in your own accounts, assigned to you.
Commit to production, one defined path
The real problem
Why shipping a release is still the scariest thing your team does.
Because the path from commit to production runs on manual steps, tribal knowledge, and hope. Releases get batched into big, dreaded events — so they happen rarely, which makes each one bigger and riskier still. And when something breaks at 2 a.m., nobody can tell what changed or how to roll it back.
This isn't a tooling problem you fix by buying a CI server. It's the engineering discipline that closes the gap between shipping daily without drama and fearing every deploy.
Shorter change lead time for elite performers, with a change-failure rate of about 5% versus 64%.
The cost of a single hour of downtime for over 90% of mid-size and large enterprises.
Where it does the work
Where DevOps does the work — and what each piece delivers.
A set of capabilities, each removing a specific source of release risk or operational toil.
CI/CD pipeline automation
Builds, tests, and packages every commit, then promotes it through staging to production along one defined path.
Releases get smaller, more frequent, and far less risky.
Progressive delivery & safe rollback
Ships a change to a slice of traffic first — canary or blue-green — and rolls back automatically if metrics degrade.
A bad release affects 1% of users for 90 seconds instead of everyone for an hour.
Infrastructure-as-code for environments
Defines build, staging, and production environments in version-controlled code so they're identical and reproducible.
Environment drift and "it passed in staging" failures disappear.
Observability & monitoring
Instruments the system with metrics, logs, and traces, and wires alerts to the signals that predict user pain.
Problems surface as an alert, not a customer complaint.
Incident response & reliability (SRE)
Sets up on-call, runbooks, error budgets, and post-incident review so failures are handled fast and don't recur.
Recovery goes from a frantic scramble to a rehearsed procedure.
Managed DevOps & day-2 operations
Runs the pipeline and platform after launch — patching, scaling, capacity, backups — as an ongoing operation.
The platform stays healthy and fast without a fire drill.
Faster and safer — not a trade. Elite teams run a ~5% change-failure rate while shipping 127× faster. Frequent, small, reversible releases are safer than rare, big, manual ones — that's the discipline, not the CI server.
As of June 2026 · revisit quarterly
What DevOps does to those processes — the measured impact.
Independent industry findings — third-party evidence, not Silicon Prime's own client results.
Throughput and stability together. Elite performers ship with a change lead time ~127× shorter than low performers and a ~5% change-failure rate versus 64%.
Faster time to market. McKinsey reports DevOps adoption delivers a 25–30% capacity increase, a 50–75% reduction in time to market, and a >50% drop in failure rates.
The cost of the doom loop. ITIC's 2024 survey of 1,000+ firms found a single hour of downtime now exceeds $300,000 for over 90% of mid-size and large enterprises.
What's included
What our DevOps services cover.
The pipeline that carries code to production — it runs on the cloud foundation we build and pairs with the security controls we embed.
Delivery assessment & pipeline design
We map how code moves to production today and design the pipeline that fits your stack and cadence — run as a readiness assessment scoped to delivery.
CI/CD pipeline engineering
We build the automated build–test–release pipeline — quality gates, artifact management, progressive delivery — on your existing CI/CD platform.
Infrastructure-as-code & environment automation
We define your environments in version-controlled IaC so build, staging, and production are identical — and a new environment is a pipeline run, not a manual rebuild.
Containers, Kubernetes & release orchestration
Where it fits, we containerize workloads and run them on Kubernetes with sane defaults — autoscaling, rolling and canary deployments, health checks.
Observability, monitoring & incident response
We instrument metrics, logs, and traces, wire alerting to the signals that predict user pain, and set up on-call, runbooks, and post-incident review — with human-in-the-loop judgment where a call needs one.
Managed DevOps & enablement
We run the pipeline as an ongoing day-2 operation — or train your team to: dashboards, deploys, rollbacks, environment recovery from code — so you own the capability, not a black box.
What you get — all assigned to you under full work-for-hire IP
How it runs
How a DevOps services engagement runs.
The same model behind all our engineering work — one accountable lead, fixed scope, no handoffs.
STEP 01
Assess
Map how code reaches production today and baseline the four delivery metrics.
Output: a target pipeline & the metrics
STEP 02
Automate
Build the CI/CD pipeline with quality gates and progressive delivery, and codify your environments as IaC.
Output: a working automated path from commit to production
STEP 03
Stabilize
Add observability, alerting, and a rehearsed rollback, then prove it under real conditions.
Output: early problem detection & a recovery procedure that works
STEP 04
Operate & enable
Run it in production — or train your team to — with the four metrics reported weekly.
Output: a reliable delivery operation & a team that owns it
Track record
The release cadence we've actually sustained in production.
A Stanford-rooted Responsible AI lab, founded 2011, run by founder Kelvin Tran — 20+ years of production engineering. We'll tell you plainly when your release problem is three fixes, not a year-long rebuild.
Sustained delivery · 200+ locations · 4+ years
BJ's Restaurants — a 200+ location chain whose operations are software-critical. When we started, releases went out roughly every two weeks — the doom loop. By restructuring how work flows through their pipeline, cadence moved to twice a week with zero critical defects sustained across 4+ years — and maintenance cost went down, not up.
Why build your DevOps practice with us.
You end up with a delivery capability your own team operates, not a pipeline you depend on us to touch.
Proven release cadence, not a promise. A multi-year record of taking a non-tech enterprise from every-two-weeks to twice-a-week releases with zero critical defects.
Faster and safer, by design. Progressive delivery, quality gates, and rehearsed rollback give you both throughput and stability, not a trade.
Tool- and cloud-neutral. We build on your existing CI/CD platform across AWS, Azure, or GCP, never a tool we resell.
Founder-led, built to transfer. No account managers — the pipeline, IaC, runbooks, and trained team are assigned to you.
Where it earns its keep first
Where reliable delivery earns its keep first.
Restaurants & multi-location retail
Where a bad release means lost revenue across every location — the exact setting where we sustained twice-a-week releases with zero critical defects.
Restaurant software →Fintech
Payments and decisioning systems where every release needs progressive rollout, instant rollback, and an audit trail of what shipped when.
Fintech software →SaaS & high-growth products
Products that must ship continuously without downtime — where deployment frequency and recovery time are competitive metrics.
SaaS software →Questions buyers ask before they build.
Thirty minutes · no pitch deck
Ready to make every deploy a non-event?
Bring your release process and the deploys that scare you — we'll baseline the four delivery metrics, tell you honestly what to fix first, and build the pipeline that makes shipping routine.