Cloud, API & Platform Engineering · DevOps
DevOps that makes shipping routine
We set up the practices and tooling that connect development to operations — containerized environments, codified infrastructure, monitoring, alerting and incident runbooks — so your team can release often and recover quickly when something breaks.
- Consistent environments
- Codified infrastructure
- Release automation
Overview
DevOps as an operating model, not a toolset
DevOps is often sold as a list of tools, but the tools are the easy part. The substance is a set of habits: small changes shipped often, infrastructure treated like code, every service observable, and incidents reviewed for causes rather than culprits. Tools support those habits; they cannot create them. That is why we start by looking at how your team actually works today, where releases stall, and who gets paged at night.
The real decisions involve ownership and depth. Should developers run what they build, or should a platform team provide paved roads? How much on-call is reasonable for your team size? Which service-level objectives matter enough to alert on? How much tooling can you maintain without a dedicated engineer? We answer these with you and size the setup accordingly, avoiding a platform heavier than the product it supports.
Healthy DevOps shows up in a few signals: frequent, uneventful deploys, quick recovery when something breaks, alerts people trust, and on-call rotations nobody dreads. Those signals come from the system itself, through dashboards and post-incident reviews, rather than from anyone’s impression, so the team can see whether its practices are improving month by month.
Who it’s for
Built for teams like yours
- 01
Small teams without ops staff
Product teams of a few developers who handle infrastructure on the side and need a manageable setup, sensible alerting and runbooks instead of hiring a dedicated engineer.
- 02
Teams with painful operations
Companies where outages are found by customers, on-call is exhausting or one engineer holds all the operational knowledge, and that risk needs spreading. Small, steady changes usually help most.
- 03
Organizations building a platform
Growing engineering groups that want shared templates, environments and observability so each product team stops reinventing deployment and monitoring. The shared tooling is documented so product teams can adopt it without help.
Why it matters
Releases should be boring
When deploying means one person, a checklist and a free evening, releases get bigger, rarer and riskier. DevOps closes that gap. We give developers environments that match production, automate the steps between commit and live, and make the running system observable, so problems are found by alerts rather than by customers.
We fit the practices to your team’s size. A three-person startup and a multi-team company need very different amounts of process, and we won’t bury a small team in tooling it can’t maintain.
Every engagement includes
- DevOps assessmenta review of how code currently moves from a developer’s laptop to production.
- Environment setupcontainerized development, staging and production environments that mirror each other.
- Automationinfrastructure, configuration and deployment steps scripted and stored in your repository.
- Observabilitylogging, metrics, tracing, dashboards and alert rules configured for every service.
- Secrets managementcredentials moved out of code into a vault or cloud secrets manager with rotation.
- Team enablementrunbooks, walkthrough sessions and documentation so your engineers own the setup.
Features
What a working DevOps setup covers
- 01
Consistent environments
Docker-based local, staging and production environments that behave the same, ending “works on my machine” problems.
- 02
Codified infrastructure
Servers, networks and configuration managed through Terraform or Ansible and changed only through reviewed pull requests.
- 03
Release automation
Build, test and deploy steps automated end to end, with deeper pipeline work covered by our CI/CD service.
- 04
Metrics, logs and traces
Grafana, Prometheus, Datadog or cloud-native tooling, with a dashboard for every service your team runs.
- 05
Actionable alerting
Alerts tied to user-facing symptoms and service-level objectives, so on-call engineers aren’t drowned in noise.
- 06
Incident runbooks
Written response steps, escalation paths and blameless post-incident reviews that turn outages into lasting fixes.
In practice
Where DevOps work starts
Taming alert noise
An alert set rebuilt around user-facing symptoms and service-level objectives, so on-call engineers get fewer, clearer pages and can tell what to look at first. Each remaining alert links to a runbook with first steps.
Removing a single point of knowledge
Operational know-how held by one person turned into code, documentation and runbooks, so others can deploy, debug and recover without waiting for them. Vacations and departures stop being operational risks for the whole team.
Making environments reproducible
Local, staging and production made consistent through containers and codified configuration, so bugs reproduce reliably and new developers get running on their first day. Environment setup becomes one documented command rather than a day of tribal knowledge.
A working incident process
An incident process with clear roles, status updates, timelines and blameless reviews, turning each outage into tracked fixes rather than repeated firefighting. Customers receive timely updates while engineers focus on recovery and root causes.
Process
How we work
- 1
Operations review
We interview developers and whoever handles incidents, review recent outages and alert history, and measure how changes currently travel from commit to production. The findings become a prioritized list we agree together.
- 2
Reliability targets
With you we set service-level objectives for key user journeys, agree error budgets and decide what deserves a page versus a ticket or nothing at all. These targets drive alerting decisions.
- 3
Codify and observe
Infrastructure, configuration and environments move into code, and metrics, logs and traces are wired to dashboards built around those objectives rather than raw server stats. Manual console changes are phased out.
- 4
On-call and incidents
We set up rotations, escalation rules, paging tools and an incident template, then run a practice incident so the process is tested before a real one. Lessons from the drill refine the process.
- 5
Coaching and handover
We pair with your engineers on real operational tasks, refine runbooks from their feedback and hand over ownership in stages until our support is no longer needed. Each stage has clear criteria.
Deliverables
What you receive
- Operations maturity review with prioritized gaps
- Service-level objectives and error budgets
- Dashboards organized around user journeys
- Tuned alert rules with routing and escalation
- On-call rotation and incident response template
- Game-day exercise notes and follow-ups
- Post-incident review template and tracking process
Tools & methods
Observability
- Prometheus
- Grafana
- Datadog
- OpenTelemetry
- Loki
- Sentry
Infrastructure & config
- Terraform
- Ansible
- Docker
- Kubernetes
- HashiCorp Vault
- AWS Secrets Manager
Incident practice
- PagerDuty
- Opsgenie
- SLOs and error budgets
- Blameless reviews
- Game days
FAQ
Frequently asked questions
Anything else about DevOps? Ask us directly.
CI/CD is one part of DevOps: the automated pipeline that builds, tests and deploys code. DevOps is broader. It also covers how environments are defined, how systems are monitored, how incidents are handled and how development and operations share responsibility. We offer CI/CD as its own service when that’s the only gap.
Let’s work together
Have a project in mind?
Book a strategy call and we’ll show you exactly how to turn your goals into a system that generates consistent results.