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Tetra Connects

Services

DevOps and platform engineering

We build the delivery pipeline and the platform underneath it, so releases are routine and recoverable.

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What organizations bring us

Teams slow down when releases are manual, environments differ, and nobody can tell what changed before an incident. The fix is rarely a single tool. It is a delivery path that is automated, versioned, observable and secured.

We look at how code reaches production today, measure where time and failures accumulate, and improve the path in stages: version control practices, build and test automation, deployment strategy, infrastructure as code, runtime platform and monitoring.

The delivery path

  1. Commit Branch policy, code review, signed commits
  2. Build and test Unit, integration and static analysis
  3. Security checks Dependency, secret and image scanning
  4. Package Versioned artifacts and images
  5. Deploy Progressive rollout with rollback
  6. Observe Metrics, logs, traces and alerts
Each step is automated and logged. Manual steps, where they remain, are visible and approved.

What the platform covers

  • CI/CD pipelines

    Build, test, scan and deploy with GitHub Actions, GitLab CI/CD or Jenkins, including migrations between them.

  • Infrastructure as code

    Terraform, Ansible and cloud-native templates with modules, state management, policy checks and review workflows.

  • Containers and Kubernetes

    Docker image practice, Helm charts, cluster design, ingress, autoscaling and upgrades.

  • GitOps

    Declarative delivery with Argo CD or similar, so the repository is the source of truth.

  • Observability

    Metrics with Prometheus, dashboards in Grafana, tracing with OpenTelemetry, logs and alerts that point to causes.

  • Platform engineering

    Internal developer platforms: templates, golden paths, self-service environments and documentation.

  • Release engineering

    Branching strategy, versioning, feature flags, canary and blue-green releases.

  • Reliability practice

    Service level objectives, error budgets, runbooks and post-incident reviews.

  • DevSecOps

    Security checks in the pipeline and in the cluster.

Common use cases

  • Replace a manual release process

    Scripted deployments and approvals become pipeline stages with logs.

  • Stand up Kubernetes

    A managed cluster with ingress, policies, secrets handling and monitoring, and a path for teams to onboard.

  • Standardize Terraform

    Reusable modules, remote state, policy checks and plan review in pull requests.

  • Reduce alert noise

    Alert on symptoms users feel, route to owners and attach runbooks.

How an engagement runs

  1. 1

    Map the path

    Trace a change from commit to production and time each step.

  2. 2

    Find the constraint

    Pick the one or two bottlenecks that matter most.

  3. 3

    Automate in slices

    Improve one pipeline or service at a time.

  4. 4

    Standardize

    Turn what worked into templates the other teams use.

  5. 5

    Measure

    Track lead time, deployment frequency, change failure rate and recovery time.

The four measures come from the DORA research. We use them to see progress, not to compare teams.

What you receive

  • Delivery path assessment
  • Pipeline templates and documentation
  • Infrastructure as code modules
  • Cluster design and runbooks
  • Observability dashboards and alert rules
  • Platform onboarding guide

Consultants we place

Staffing is a separate engagement from project delivery. You can use either, or both.

  • DevOps engineer

    Builds and maintains pipelines and environments.

    • CI/CD
    • scripting
    • cloud
    • containers

  • Platform engineer

    Builds internal platforms and self-service tooling.

    • Kubernetes
    • Terraform
    • developer experience

  • Site reliability engineer

    Owns availability and incident practice.

    • Observability
    • automation
    • SLOs

  • Release engineer

    Runs and improves the release process.

    • Build systems
    • versioning
    • deployment strategy
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Related technology

CI/CD

  • GitHub Actions
  • GitLab CI/CD
  • Jenkins
  • Argo CD

Infrastructure

  • Terraform
  • Ansible
  • Helm
  • Docker
  • Kubernetes

Observability

  • Prometheus
  • Grafana
  • Datadog
  • OpenTelemetry

Listed as technologies we work with. This is not a statement of vendor partnership, certification or reseller status.

Questions people ask

We use Jenkins. Do we have to change?

No. We improve what you have. Migration to another system is worthwhile only if it removes a real problem.

Do you work with on-premises Kubernetes?

Yes, when the skills exist on the team. We tell you what operating it will require.

What about developer experience?

It is the point. A platform that developers avoid is a failed platform. We test new tooling with the teams that will use it.

Related

  • Cloud

    Cloud strategy, readiness assessments, migration, landing zones, governance, FinOps and operations on AWS, Azure and Google Cloud.

  • Software engineering

    Custom applications, APIs, modernization, quality engineering and support, delivered by teams or placed as specialists.

  • Managed services

    Ongoing support for applications, ERP, cloud and infrastructure under agreed scope, hours and reporting.

Have a technology challenge? Let’s work out the approach.

Discuss a project

Tell us the current system, the target and the timeline. A technical lead replies to talk about scope.

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Need consultants inside your team rather than a project owner? Send the requirement.

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Phone, United States (470) 948-0356 Phone, India +91 70321 51545 Email info@tetraconnects.com