Most teams need far fewer DevOps automation tools than vendor lists suggest. A CI/CD platform, an infrastructure-as-code tool and basic monitoring cover the bulk of the value. Configuration management and container orchestration come later, when you have enough servers or services to justify them.
On this page
- What is DevOps automation?
- Which CI/CD tool should you pick?
- Which infrastructure-as-code tool is best?
- Do you still need configuration management tools?
- Kubernetes or something simpler?
- What should you use for monitoring?
- How do you choose the right set of tools?
- When does it make sense to bring in outside help?
- Frequently asked questions
Below are the tools we see most often in client stacks, grouped by the job they do, with notes on when each one fits. We haven’t ranked them, because the right choice depends far more on where your code lives and what your team already knows than on feature lists.
What is DevOps automation?
It’s the use of tools and scripts to take repetitive manual work out of building, testing, deploying and running software. A push to the main branch triggers tests, builds an artefact, provisions or updates infrastructure and deploys, with monitoring that tells you if the release went wrong. The aim is fewer manual steps and fewer surprises.
The payoff is practical. Releases stop depending on one person who knows the steps. Defects get caught by tests before customers find them. Rollbacks become a button instead of a late-night scramble.
Which CI/CD tool should you pick?
Usually the one built into your code host. If your code is on GitHub, start with GitHub Actions. If it’s on GitLab, use GitLab CI/CD. Jenkins still makes sense when you need heavy customisation or must run everything on your own servers, but it costs more to maintain.
- GitHub Actions: pipelines defined next to your code, matrix builds across environments and a large marketplace of ready-made actions. The easiest start for GitHub users.
- GitLab CI/CD: part of an all-in-one platform with a container registry and built-in security scanning. Good if you want one vendor for code, CI and registry.
- Jenkins: open-source automation server with a large plugin ecosystem and distributed builds. Very flexible, but someone has to keep it patched and its plugins up to date.
Which infrastructure-as-code tool is best?
Terraform, or its open-source fork OpenTofu, is the default for provisioning cloud resources across AWS, Google Cloud and Azure. Pulumi suits teams who would rather write infrastructure in TypeScript or Python than learn a separate configuration language. Either beats clicking through a cloud console.
- Terraform: declarative HCL files, providers for almost every cloud service, state tracking and reusable modules. HashiCorp moved it to a source-available licence in 2023, which is why OpenTofu exists. Check which one fits your licensing policy.
- Pulumi: infrastructure in TypeScript, Python, Go or C#, with normal IDE support, unit tests and policy as code.
Do you still need configuration management tools?
Less than you used to. If you run containers or managed cloud services, most configuration lives in images and infrastructure code. Ansible is still useful for patching and configuring fleets of virtual machines or on-premises servers. Chef remains in larger estates that adopted it years ago.
- Ansible: agentless, with readable YAML playbooks and a large module library. The easiest of the group to pick up.
- Chef: Ruby-based recipes, with InSpec for compliance testing. Powerful, but a steeper learning curve.
Kubernetes or something simpler?
Choose Kubernetes when you run many services, need autoscaling and have someone who can operate it, ideally through a managed service such as GKE or EKS. For a handful of services, a managed container platform or Docker Swarm is cheaper to run. Kubernetes adopted too early is a common source of avoidable ops work.
- Kubernetes: automated rollouts and rollbacks, service discovery, self-healing and horizontal scaling, with a huge ecosystem around it.
- Docker Swarm: native Docker orchestration with built-in load balancing and a much gentler learning curve.
What should you use for monitoring?
Prometheus for metrics and Grafana for dashboards is the common open-source pairing, and it works well with Kubernetes. Add log aggregation and alerting that reaches a person. Whatever you choose, define alerts for the things customers notice, such as error rates and latency, before you add dashboards.
- Prometheus: pull-based metrics, the PromQL query language and alerting through Alertmanager.
- Grafana: dashboards across many data sources, with its own alerting and plugins.
How do you choose the right set of tools?
Start from the problem, not the tool. Fix your slowest or most error-prone manual step first, using tools your team already understands and that integrate with your code host and cloud. Count the cost of running a tool, not just its licence. An unmaintained Jenkins server is a liability, not an asset.
- Team skills: a tool nobody understands won’t be maintained.
- Fit with your stack: check integrations with your code host and cloud provider.
- Scale: pick for the next 12–18 months, not for a scale you may never reach.
- Support: documentation, community size and paid support if you need it.
- Total cost: licences, hosting, training and the hours spent keeping it running.
When does it make sense to bring in outside help?
When releases are slow or risky and nobody on the team has time to fix the pipeline. A DevOps engineer placed through staff augmentation can set up CI/CD and infrastructure as code alongside your developers, starting within 5–10 working days. For ML workloads, see our MLOps and AI infrastructure service.
Frequently asked questions
What’s the difference between CI and CD?
Continuous integration automatically builds and tests every code change. Continuous delivery goes further and automatically prepares tested code for release, so deploying to production is a single approved step. Continuous deployment removes that last manual step.
Do we need all of these tools?
No. Start with CI/CD and add tools when a real problem appears. Many small teams never need configuration management or Kubernetes at all.
How do the tools work together?
Through APIs and webhooks. A typical flow: a push triggers the CI pipeline, which runs tests, applies Terraform changes, builds a container image and deploys it to Kubernetes, while Prometheus watches the result.
What skills does a team need?
Scripting in Bash or Python, Git, Docker and working knowledge of your cloud platform. The specifics of each tool are learned on the job.
Related reading: building a CI/CD pipeline for enterprise teams and change management in software development.
