03 · Service

Operational support and continuous evolution

We operate what we build —and what others have built— with clear SLAs.

The problem

Production products that lose momentum because the original team disbanded, there's no observability, or there's no evolution plan.

How we solve it?

We give continuity to products in production with monitoring, incident support, functional evolution and continuous improvement.

Deliverables

What you get.

  • Technical product onboarding and risk mapping
  • Monitoring and alerts with defined SLOs
  • Incident support with agreed response times
  • Continuous improvement backlog prioritized with the business
  • Executive reports of service health and usage metrics
Capabilities

What we bring.

  • SRE and observability (Grafana, Datadog, OpenTelemetry)
  • Incident management and postmortems
  • Security hardening (OWASP, dependabot, secret scanning)
  • Cloud cost optimization (basic FinOps)
  • Progressive migration of legacy stacks
  • Living documentation and handover

Stack

Datadog · Grafana · Prometheus OpenTelemetry Sentry PagerDuty Terraform GitHub Actions · Azure DevOps
Engagement models

How we plug in?

  1. 01

    L2/L3 support

    Incident and ticket attention with defined SLAs. Ideal when you already have an in-house L1.

  2. 02

    Managed operations

    We take end-to-end ownership of operating the product, including monitoring, evolution and reports.

  3. 03

    On-call capacity

    On-call specialists for 24/7 coverage of critical systems.

Maintaining is not standing still

Software lives longer in production than in construction. That’s why a good support model isn’t just about putting out fires: it’s about keeping the product healthy and giving it a continuous improvement cadence.

We design every support engagement with three layers: reactive operations (incidents, tickets, SLAs), active observability (alerts, dashboards, SLOs) and continuous evolution (backlog prioritized with the business). That combination reduces surprises, lowers operating costs and keeps the product relevant.

Hardening, security and cost

In every engagement we do an initial assessment of basic security (vulnerable dependencies, exposed secrets, over-privileged access) and cost (unused resources, expensive queries, oversized instances). The recommendations enter the backlog prioritized by impact.

FAQ

Frequently asked questions.

Can you operate software you didn't build?
Yes. That's one of our most common cases. We start with a 2 to 4 week technical onboarding where we map architecture, risks, dependencies and debt. From there we propose a realistic operations model.
How quickly do you respond to a critical incident?
It depends on the agreed SLA. For 24/7 customers, P1 incidents get human response in under 15 minutes. We document each incident and share blameless postmortems.
Do you work with products in any stack?
We mainly work with Python, .NET, Node.js, Go, JavaScript/TypeScript, GCP and Azure. If your stack is outside that, we do an honest assessment before committing.

Let's talk about operational support and continuous evolution.

Tell us context and need. We respond with an actionable plan.

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