Staff Augmentation
Staff Augmentation places DevOps and GitOps engineers in your team to build pipelines and set up controllers.

Say a manual hotfix just broke a cluster and nobody can tell what changed. Here's where GitOps fits inside DevOps, and when pulling from Git beats a push pipeline.

Picture a team debating a move from DevOps to GitOps. The framing is off. GitOps is one part of DevOps, not a replacement for it.
DevOps is the operating model, where one group shares the work of building, shipping, and running software. GitOps is a specific way to handle shipping and running. Git holds the desired state, and an agent keeps the live system matched to it.
So the GitOps vs DevOps question is narrower than it sounds. Should a pipeline push your deploys, or should a controller pull them from a repository? That's the choice this guide works through, costs included.
Lots of teams call any pipeline that touches Git "GitOps". The open GitOps principles are stricter. They come down to four rules, and they're worth knowing before you decide anything.
Missing the last two? Then you have infrastructure as code with a push pipeline. That can be fine. It just isn't GitOps, and it won't catch drift.

Say you run a dozen Kubernetes clusters across regions, with several teams shipping to them. That's where GitOps beats a push pipeline. The platform is declarative, the environments are many, and drift is a real risk. Auditors who ask what ran where tip the scale further.
Now picture a few services on managed platforms, serverless functions, or virtual machines with nothing to reconcile them. A GitOps agent adds moving parts there without much payoff. Keep the push pipeline. Most real platforms end up with both, split by workload.
The two models differ less in tools than in who holds the keys and who notices change.
You'll often hear that GitOps gives you rollback for free, since you just revert a commit. That holds for stateless pieces like deployments and config maps. It fails for anything that changed data on the way out.
Imagine a release that ran a schema migration and changed a message format. Reverting the manifest won't undo either one. Treat a Git revert as a way to restore the shape of the system, and keep a separate, tested plan for data. Expand and contract migrations, backward compatible messages, and feature flags do more for safe rollback than any controller.
Moving a release from staging to production becomes a pull request. That's great for review. It's slow if every hotfix waits on two approvers at midnight.
Agree up front which changes merge with one reviewer, which need a change ticket, and who may approve an emergency revert. Skip this and people start fixing things by hand in the cluster. The controller reverts them, and trust in the setup drops fast.

Draw one clear line between them. CI, part of the wider DevOps practice, builds, tests, scans, and publishes an artifact. GitOps takes over from the commit that says which artifact runs where.
Think of a pipeline that deploys a change, and a controller that quietly reverts it a minute later. That's what happens when both sides try to deploy. To place the line for each workload, we use a short method called The Reconcile or Push Test. It asks the same questions every time, so platform and product teams land on the same answer.
A workload that passes all five belongs in the GitOps flow. One that fails the first or last question stays on push, and that's a valid result, not a gap. Want an outside view? A DevOps consulting company that has run both models can check your pipelines and repositories against this test before production moves.
Say every code commit in your app repository triggers a cluster sync. Builds that change nothing still churn the controller. That's why most teams keep application code and deployment config in separate repositories.
The split adds one step. CI must update the config repository with the new image tag after a build passes. It's a small script, and it gives you a clean record of what was promoted and when.
For environments, folders usually beat long lived branches. With a folder per environment, promotion shows up as a visible diff between two folders. Branches per environment tend to drift apart in ways nobody notices until a merge goes wrong.
Plain secrets never belong in Git, even in a private repository. Teams usually store secrets encrypted so only the cluster can read them. Others keep just a reference in Git while the value sits in a secret manager.
Alerts need the same care. A push pipeline fails loudly in the CI log. A GitOps sync can fail quietly. Picture a merged commit, a green pull request, and a cluster still running last week's version because one manifest didn't apply.
So alert on sync status and health for every application, not only on pipeline runs. A dashboard that shows each app as synced, out of sync, or degraded answers most questions before anyone asks them in chat.
Frontend teams barely change how they work. They build and test in CI as usual, then publish an image or bundle with a version tag. For containerized Angular applications, a reviewed commit that bumps that tag in the config repository is what ships the release.
Edge sites are where pull based deploys shine. Imagine a store or a plant that loses its connection for an afternoon. When it comes back, its small cluster pulls the approved state and catches up on its own. No pipeline has to retry a push into a site it can't reach.
That pattern suits fleets behind IoT asset tracking systems, where many remote sites run the same software. Keep the config for each site small, and let every location report its sync status back to one view.
A named platform team should own it. Someone has to run the GitOps controller, upgrade it, manage access to the config repository, and watch its sync errors. Without an owner, the setup slowly rots.
Suppose no team has room for that work right now. Then a push pipeline you already understand may be the safer choice for the moment. That's a fair GitOps vs DevOps answer, and you can revisit it as the platform grows.
Ownership covers the human side too. New engineers need a short guide on how to ship, how to roll back, and what never to change by hand in the cluster. Write it before the first production workload moves, not after the first incident.
Our engineers design CI pipelines, config repositories, and promotion rules that suit your platform. They set up controllers, secret handling, and alerts so every deploy can be traced from commit to cluster.
Staff Augmentation places DevOps and GitOps engineers in your team to build pipelines and set up controllers.
Build Operate Transfer sets up a GitOps platform team, runs it through rollout, then hands it over to you.
An Offshore Development Center gives you a dedicated team for CI pipelines, clusters, and config repositories.
Product Outsource Development delivers a product with its build, release, and GitOps deploy flow in place.
Managed Services watch sync status, fix failed deploys, upgrade controllers, and keep your pipelines healthy.
A Global Capability Centre builds a lasting in house platform team for your DevOps and GitOps work.
CI pipelines that build, test, scan, and tag every artifact
Config repository design with clear promotion rules per environment
Controller setup for drift detection and automatic reconciliation
Encrypted secrets, access policies, and a traceable deploy history
Engineers who decide, workload by workload, what to push and what to reconcile from Git.

Tell us about your platforms and pipelines. We'll mark which workloads suit reconciliation, which should stay on push, and why.


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Common Queries

Got a question about GitOps, pipelines, or deploy design that we haven't covered? Send it our way.
It's a way to run deployments where Git holds the desired state and an agent keeps live systems matched to it. In the GitOps vs DevOps debate, it's best seen as one practice inside DevOps rather than a rival way of working at all.
The four principles say the system is declarative, its desired state is versioned and immutable in Git, approved changes are pulled in automatically by an agent, and that agent keeps reconciling live state against what Git says.
Jenkins is a CI server that runs jobs, and those jobs often push builds to targets. GitOps is a deploy pattern, not a tool. Many teams keep Jenkins for builds and tests, then let a controller such as Argo CD or Flux pull releases from Git.
The biggest drawback is extra operating work. Someone must design the config repository, run and upgrade the controller, and watch for silent sync failures. On small or non declarative setups, that effort can outweigh the benefits.
Not strictly, but Kubernetes is its most common home, because its controllers already reconcile declared state. The pattern can reach other declarative platforms. Without a reconciling agent, though, you mostly get infrastructure as code.
Encrypt them before they ever reach Git, using a tool whose decryption key lives only in the cluster. The other common route is an external secret manager, with Git holding just a pointer that the cluster resolves when it applies config.
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