IrenicTech

DevOps engineering services.
Engineered to ship safely and stay up.

DevOps engineering services by IrenicTech: CI/CD pipelines, infrastructure-as-code, container orchestration, and observability stacks engineered to ship safely and stay up
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IrenicTech DevOps engineering at a glance

DevOps as an engineering discipline. Not a YAML script that runs in CI.

Most DevOps work is a single deploy script bolted onto whatever the dev team set up first. Works until the first compliance review, the first traffic spike, the first 3 AM page. By then the founder is in the cloud console, clicking through reasons it broke.

We build DevOps engineering services as a real engineering practice. CI/CD treated as code. Infrastructure as code from sprint one. Observability designed in. On-call rotations and runbooks shipped with the platform, not written the morning after the first incident.

The teams we work with do not want a DevOps consultant who hands them a Terraform module and disappears. They want a platform their engineers operate confidently after the engagement ends.

Productized engagements

Fixed-scope DevOps sprints. Buyable, not negotiable.

Time-boxed, fixed-price, with a deliverable that lands in your account and your repo. Pick the shape that matches what you are scoping. Every sprint hands you the pipeline, the infrastructure code, and the operational runbooks on day one.

  • For founders

    CI/CD Foundation Sprint

    From zero to a production-grade pipeline in four weeks.

    • GitHub Actions or GitLab CI workflows shipped on day one
    • Branch protection, staging, and preview environments per pull request
    • One-command deploy to your cloud, with rollback in under a minute
    Book a discovery call
  • For scaling teams

    Cloud Migration Sprint

    Lift, improve, and ship to your new cloud without an outage window.

    • Discovery: current architecture audit, cost model, risk register
    • Terraformed target environment with parity tested before cutover
    • Phased traffic shift with a documented rollback budget at each step
    Book a discovery call
  • For existing platforms

    Observability Sprint

    Replace 'check the dashboard later' with on-call you can sleep through.

    • Structured logs, distributed traces, and metrics on one stack
    • SLOs aligned to user-facing journeys, with an error budget policy
    • On-call rotation, runbooks for the top failure modes, post-incident review
    Book a discovery call

Our DevOps deliverables

  • CI/CD pipelines

    GitHub Actions, GitLab CI, or Buildkite workflows treated as code. Branch protection, staging, preview environments per PR, deploy gates, and rollback in under a minute. The pipeline has tests on the pipeline itself.

  • Infrastructure as code

    Terraform or Pulumi modules for the target environment. Every change goes through a pull request. Drift detection in CI. State backend in your account, not ours.

  • Container orchestration

    Kubernetes on EKS / GKE / AKS, or ECS Fargate when the workload does not justify a cluster. Container images scanned in CI, run rootless, with sensible resource limits and health checks.

  • Observability stack

    Structured logs, distributed traces, and metrics on one stack. OpenTelemetry-first so the backend stays portable. Dashboards aligned to user-facing journeys, not infrastructure components.

  • Security scanning in CI

    SAST, SCA, secret scanning, and container image scanning gating the deploy. SBOM generation, signed releases, and the supply-chain hardening the OWASP CI/CD Top 10 calls out.

  • On-call & runbooks

    On-call rotation in PagerDuty / Opsgenie, escalation policy, runbooks for the top expected failure modes, and a post-incident review template your team will actually use.

  • Cost monitoring & budget alerts

    Cloud cost dashboards by team / environment / service. Budget alerts before the bill arrives. Tagging strategy baked into IaC so cost attribution works on day one, not after the surprise invoice.

  • Disaster recovery & backups

    Automated backups with a monthly restore test on the calendar. Documented RPO and RTO per workload. Multi-region failover where the risk model demands it, single-region with a tested restore path otherwise.

Ad-hoc vs engineered DevOps

Why most DevOps stops working at the second compliance review.

Two ways to run delivery. One scales from 1 engineer to 100. The other does not.

The default pattern

Ad-hoc DevOps

A script copied from a tutorial, an infra clicked together in the console, a deploy that works on a Tuesday afternoon. Ships fast, breaks on the first audit.

  • CI is a single script copied from a tutorial; nobody on the team owns it.
  • Infrastructure is clicked together in the cloud console; no audit trail, no PR review.
  • Containers run as root because the docs example did; secrets live in committed .env files.
  • Observability is 'check the CloudWatch dashboard'; nobody opens it until the outage starts.
  • On-call is the founder's phone; no escalation policy, no runbook, no post-incident review.
  • Deploys are 'git push and pray', rollback is reverting the merge and waiting twenty minutes.

How we ship

IrenicTech engineered DevOps

CI/CD as code, IaC from sprint one, observability designed in, on-call shipped with the platform, deploys gated and reversible.

  • CI/CD treated as code: version-controlled, tested, owned by a named team with a documented review cycle.
  • Infrastructure as code from sprint one; every change goes through PR with drift detection in CI.
  • Containers run rootless, non-root, with image scanning gating deploy and SBOM emitted per build.
  • Observability designed in: structured logs, distributed traces, per-service dashboards your on-call actually opens.
  • On-call rotation, runbooks, and incident retrospectives operational from day one of the platform.
  • Deploys gated, observable, and reversible: one-command rollback measured in seconds, not minutes.

Where engineered DevOps earns its place.

  1. 01 · SaaS launch

    First production pipeline

    Move from 'deploy is the founder running git push' to a real CI/CD with branch protection, staging, preview environments, and rollback. The pipeline your team will actually trust at 2 AM.

    See our SaaS Platforms practice

  2. 02 · Compliance

    Audit-aware CI/CD

    Audit logging, SBOM generation, signed releases, container image scanning, and the evidence trail SOC 2 and HIPAA auditors ask for. Compliance treated as a build-time concern, not a quarterly retrofit.

  3. 03 · Migration

    Cloud migration without an outage window

    Phased traffic shift from one cloud, region, or account to another. Parity tested before cutover, rollback measured in minutes, and the cost model rebuilt for the new environment.

  4. 04 · AI platform

    GPU infrastructure for AI workloads

    Burstable GPU pools, model artifact storage, eval pipelines that run on every prompt change, and the cost guardrails AI workloads need so the monthly bill does not surprise the finance team.

    See our AI Native practice

  5. 05 · Platform engineering

    Internal developer platform

    Self-service deploys, ephemeral preview environments tied to PRs, golden-path templates for new services, and a developer portal showing ownership, on-call, and runbooks inline with each service.

  6. 06 · Modernization

    Legacy CI replacement

    Replace the 2,000-line Jenkinsfile with a pipeline your team understands, tests, and ships changes to without fear. Migration is incremental, with the old and new pipelines running in parallel until cutover.

Pipelines & infrastructure

What we have shipped in production.

A short, honest cut of DevOps work that landed in production for real customers. The pipelines, the architecture, the operational patterns we know work because we ran them.

  • Cross-platform release

    One pipeline shipping web, iOS, and Android from a single repo

    Trunk-based monorepo with a single CI/CD pipeline that ships a Next.js web app, a native iOS app via TestFlight, and a native Android app via the Play Console. Shared release notes, version coordination across surfaces, and a rollback strategy that covers all three.

  • Compliance-aware infrastructure

    Multi-account AWS landing zone for a regulated SaaS

    Tenant-isolated AWS accounts via Organizations, audit logging via CloudTrail to a separate audit account, automated SOC 2 evidence collection, and PHI-handling guardrails baked into the deploy gate. The audit trail is the side effect of the deploy, not a quarterly project.

  • Zero-downtime migration

    Multi-region deploy with expand-and-contract database migrations

    Active-active deployment across two AWS regions, expand-and-contract schema migrations that ship breaking changes safely, and a blue-green cutover pattern the team runs themselves. Migration windows became normal release windows.

  • Internal developer platform

    Golden-path templates engineers actually use

    One-command spin-up of preview environments tied to PRs, service templates with observability and on-call wired in, and a developer portal that shows ownership, runbooks, and incident history inline. Onboarding a new service went from a week to an afternoon.

Voice of the customer

From platform leads running it after we leave.

  • “Deploy went from a thirty-minute manual checklist to one command we trust at 2 AM. Rollback in under a minute. On-call complaints dropped to zero in the first month after handover.”

    Alistair Brennan

    Head of Platform, Steepholm Networks

  • “We migrated from Heroku to AWS with a six-hour cutover window and used three of them. Cloud costs dropped sixty percent in the first quarter. The infrastructure our new hires inherited is one they could read in a sitting.”

    Sofia Calderón

    CTO, Larkfield Health

  • “The observability stack alone justified the engagement. We saw an outage coming in the dashboards forty minutes before it would have paged the on-call. That single catch has paid for the work five times over.”

    Wei Lin

    VP Engineering, Quillwood Systems

How we ship DevOps engagements.

Six steps from first call to a platform your team operates without us. The discovery audit gates the blueprint; the simulated incident at handover gates the cutover.

  1. 01

    Discovery & infrastructure audit

    Current pipeline, cloud setup, observability state, on-call practices, cost shape. One-page brief and a prioritised remediation backlog. No production changes yet.

  2. 02

    Pipeline blueprint

    CI/CD design, environments and gates, IaC layout, secret-management strategy, container strategy, observability stack pick. Reviewed with your team before any code lands.

  3. 03

    IaC baseline

    Terraform or Pulumi modules for the target environment. Tested with plan against a real account, pull-request flow, drift detection, and a state backend that lives in your cloud account.

  4. 04

    Pipeline build

    CI/CD workflows shipped with self-tests. Container images, SAST, SCA, container scanning, and deploy gates wired in. Preview environments tied to PRs, rollback paths documented per service.

  5. 05

    Observability & on-call

    Logs, metrics, and traces on one stack. SLOs aligned to user journeys, error budget policy, alert rules. On-call rotation, runbooks for the top failure modes, escalation policy.

  6. 06

    Cutover & handover

    Phased migration to the new pipeline. Knowledge transfer to your team via paired runs and a simulated incident. Post-engagement office hours for the first thirty days. No proprietary tooling you cannot leave.

DevOps security, reliability, and observability, built in.

The frameworks we measure ourselves against, and the ones we engineer into the pipelines we hand off. Not retrofitted before the first audit.

Pipeline audits and infrastructure reviews available as standalone engagements. Bring your current setup, leave with a prioritised remediation backlog.

Common questions, answered.

  • How long does a DevOps engagement take?

    CI/CD Foundation Sprint: four weeks to a production-grade pipeline. Cloud Migration Sprint: six to twelve weeks depending on workload size and regulatory shape. Observability Sprint: four weeks to a full stack with SLOs and an on-call rotation. Ongoing: monthly retainer for incident response, platform feature delivery, and quarterly reliability reviews.

  • What does a DevOps engagement cost?

    Price varies with the scope of the work. The productized sprints are fixed-price for the scope they cover. A full platform engagement is quoted after the discovery call, with the number driven by current state, target architecture, compliance regime, on-call commitments, and the cloud footprint. The discovery call itself is free; you accept the estimate or you do not.

  • Should we adopt Kubernetes, or stay on PaaS?

    Depends on scale, team, and compliance. PaaS (Heroku, Render, Fly.io) is fine until you hit per-tenant isolation requirements, regulated regions, or per-second cost optimization. Kubernetes is only worth the operational complexity when those constraints actually bite. The discovery call gives the honest answer for your situation.

  • AWS, GCP, or Azure?

    Default is AWS for most B2B SaaS: deepest service catalog, mature compliance posture, widest hiring pool. GCP for AI workloads where Vertex or TPU access materially changes the cost model. Azure when the customer base is Microsoft-heavy or procurement insists. Multi-cloud is rarely worth the operational tax.

  • Do you do staff augmentation or full ownership?

    Both, with a hard line on one. Fixed-scope sprints have a defined deliverable and end date. Platform engineering retainers put senior DevOps engineers on your team for continuous capacity. We do not offer 'managed DevOps' where we own production indefinitely; operations should sit with your team, with us as a backstop.

  • How does on-call work after handover?

    Your team owns on-call after handover. We document the runbooks, run a paid simulated incident with your team to stress-test them, and provide post-engagement office hours for the first thirty days. Optional retainer for on-call backstop if your team is too small to cover a 24/7 rotation.

  • What is your stance on multi-cloud?

    Skeptical unless you have a real reason. Multi-cloud is operationally expensive and most 'multi-cloud benefits' can be achieved with single-cloud disaster recovery plus a documented exit plan. We default to one cloud done well over two clouds done badly.

  • Who owns the IaC, the pipelines, and the deploy keys?

    You. From day one. Terraform or Pulumi state in your cloud account, CI/CD secrets in your secret manager, GitHub Actions or GitLab CI in your organisation, and the documentation in your wiki. No proprietary platform you cannot leave; no ongoing dependency on us unless you want one.

Start a conversation

Tell us what you’re building.

Share the essentials and we’ll reply within 4 hours with a real next step, not an auto-responder.

What happens next

  1. We reply within 4 hours, from a real person, not an auto-responder.
  2. A short scoping call to understand the goal, constraints, and timeline.
  3. A fixed-scope discovery sprint: a working prototype and a written estimate.
Email
[email protected]
Phone
+1 504 732 9446
Office
Austin, TX, United States
Hours
Mon–Fri · Async + scheduled calls

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