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Connected DevOps: software delivered with traceability, speed and security

Connected DevOps brings artifacts, infrastructure, pipelines, the engineering platform and incident response into one traceable flow, with AI where it truly speeds things up. Loonar designs, deploys and sustains that foundation, from the binary to the incident, so every team works from the same data and standards.

  • Scattered binaries and slow builds

    One repository for packages, images and AI models, caching public sources and wired into CI/CD.

  • Expensive infrastructure and proprietary licenses

    Open source virtualization with high availability, containers and backup built in.

  • Little visibility into engineering teams

    Service catalog, scorecards and DORA metrics, with agentic AI supporting development.

  • Overloaded on-call rotations

    AI agents triage, point to the likely cause and run approved fixes.

  1. Discovery

    We map repositories, pipelines, infrastructure, on-call and metrics to find the bottlenecks that cost the most.

  2. Design

    We define the target architecture, integrations, security standards and success metrics.

  3. Deployment and integrations

    Loonar deploys, migrates without stopping your teams and connects CI/CD, cloud, observability and chat.

  4. Training

    We enable developers, SREs and admins to run and evolve the platform.

  5. Operations and continuous improvement

    We track DORA and reliability metrics and tune the platform alongside your team.

What is connected DevOps?

It treats engineering as a single flow: from code to artifact, pipeline to infrastructure, and production to incident, with traceability at every step. Instead of isolated tools, each stage shares data and context. That makes it possible to answer what is running in production, where it came from, who owns it and how to recover when something breaks.

Where should we start modernizing engineering?

With the bottleneck that slows your team down the most today: slow builds, uncontrolled dependencies, expensive infrastructure or overloaded on-call. During discovery, Loonar measures the current flow, prioritizes with your team and defines a first scope with visible results. From there, the platform grows in stages, without big-bang migrations.

How does AI change SRE and DevOps work?

AI takes over repetitive tasks: alert triage, signal correlation, finding the likely cause, summarizing incidents and running fixes that were already approved. The team gains time for reliability, architecture and automation. Sensitive decisions remain human, with guardrails, approvals and a log of every action the agents take.

How do we measure results (DORA metrics)?

The four DORA metrics measure software delivery: deployment frequency, lead time for changes, change failure rate and time to restore service. Loonar collects this data straight from the repository, the pipeline and incident management, sets a baseline and tracks progress alongside reliability and developer experience indicators.

Shall we design the next version of your operation?

Tell us the challenge. One conversation with a specialist gives you a clear path, even if it isn't time to buy yet.