DevOps Consulting That Makes Releases Routine
DevOps makes releasing software routine: automated builds, tests and deploys, monitoring that reaches a person, and infrastructure defined in code. For Truck-4 we set up pipelines that deploy every service to Kubernetes the same way.
Reviewed by Azmat Rana, CEO & Founder · Updated
What We Set Up
If releasing needs a particular person and a checklist, every deploy is a risk and every fix waits for them.
Core capability
CI/CD pipelines
Pipelines that build, test and deploy every change the same way, from Azure DevOps on Truck-4 to Capistrano deploys on BuffyHub.
Containers and Kubernetes
Docker for environments that behave the same everywhere, and Kubernetes when a product has many services to scale separately.
Checks before release
Unit and integration tests plus SonarQube analysis that stop risky changes before they reach production.
Monitoring and alerts
Error tracking with tools like Sentry, uptime checks and alerts that reach an engineer before customers notice a problem.
Environments defined in code
Helm charts and configuration files that describe each environment, so it can be reviewed, repeated and rebuilt.
Project story · Truck-4
Repeatable releases for a microservices marketplace
Truck-4 is a marketplace for renting, leasing and buying trucks, tractors and trailers, built as a set of microservices holding more than 2 million shipper records. With many services to build, test and deploy, releases had to be repeatable and safe.
- Team
- 3 engineers
- Effort
- 1,232 hours
- Shipper records
- 2M+
- Stack
- Kubernetes, Helm, Azure DevOps, RabbitMQ
The problem
Deploying many services onto Kubernetes by hand was slow and error-prone, and integration bugs between services surfaced late. Services depended on each other, so one slow call could drag down response times, and uploaded files could carry malware into the platform.
What we changed
- 01Automated builds and deployments with Azure DevOps pipelines and Helm charts, so every release follows the same steps.
- 02Added SonarQube and CI checks that catch code and integration problems before they reach production.
- 03Ran each service on Kubernetes, so it can be deployed and scaled on its own.
- 04Used RabbitMQ for asynchronous messaging between services, so one slow service does not hold up the others.
- 05Scanned every upload with ClamAV in real time before it is accepted.
- 06Added fallbacks and monitoring so sign-in keeps working when an upstream service fails.
Where it stands
Releases are automated and repeatable, problems surface in the pipeline instead of in production, and Kubernetes scaling cut operations cost while raising throughput. That is the point of DevOps: make shipping routine, so the team can release more often with less risk.
Read the full Truck-4 case studyFrom Code To Production
We start from how you ship today and automate the slowest, riskiest steps first.
Assess
Review How You Ship
We follow one change from commit to production and note every manual step, wait and failure point.
Automate
Script The Release
Builds, tests and deploys go into a pipeline, with a staging environment in front of production.
Monitor
Watch And Improve
Alerts and dashboards show errors and slow responses, and we fix the causes in order of impact.
Technology Behind Our DevOps
The pipeline, container and monitoring tools used across our projects.
Google Cloud
Docker
Kubernetes
GitHub
GitLab
Jenkins
Terraform
Ansible
Prometheus
GrafanaWhere DevOps Pays Off First
You do not need every tool at once. These are the changes that usually make the biggest difference, in roughly this order.
One-step deploys
If releasing takes a person and a checklist, automate it first. Truck-4 deploys every service the same way with pipelines and Helm.
Tests on every change
Automated tests and code checks on each pull request catch problems while they are cheap to fix.
A staging copy of production
Every change runs on staging before customers see it.
Monitoring that reaches a person
Logs and alerts for errors, slow responses and failed jobs, routed to someone who can act on them.
Infrastructure as code
Servers and settings defined in files can be reviewed, repeated and rebuilt after a failure.
Rollbacks that work
Every deploy should be easy to undo. Practice it before you need it.
DevOps In Action
Projects where we set up the pipelines, hosting and monitoring.
Related services
Projects like this one usually involve these as well.
DevOps Consulting FAQs
What engineering leads ask before changing how they release.
Reviewing how you build, test, release and run your software today, then setting up the pipelines, environments, monitoring and infrastructure as code that make releases routine.
Yes. The Truck-4 pipelines in Azure DevOps build, check and deploy each service to Kubernetes with Helm.
Not always. It suits products with many services, like Truck-4. A single application often runs more simply on a managed container service.
Monitoring and alerts first, then fallbacks for the services you depend on, automated deploys with easy rollback and regular test restores of your backups.
Yes. We move one service or environment at a time, with pipelines and monitoring in place before any traffic switches over.
You do. Everything we build for you, including the source code and the intellectual property in it, belongs to you.
Want Releases Your Team Stops Worrying About?
Tell us how you deploy today and what goes wrong. We reply within one business day to set up a discovery call.