Software engineering services.

8Network designs and delivers production systems across cloud infrastructure, observability, backend software, and AI-enabled workflows.

Cloud platforms and delivery

Design, improve, and migrate the cloud foundations that production software and engineering teams depend on.

Useful when

  • Kubernetes or cloud environments have grown without a consistent operating model.
  • Deployments depend on manual steps, specialist knowledge, or fragile pipelines.
  • A platform migration needs a practical sequence, production safeguards, and a clean cutover.
  • Engineering teams are slowed down by inconsistent environments or infrastructure access.

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8Network works across platform architecture and hands-on delivery. The goal is a platform that supports dependable releases, clear operational ownership, and change that can be repeated safely.

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Reliability and observability

Make production behavior visible and improve how teams detect, investigate, and prevent failure.

Useful when

  • Incidents take too long to understand because signals are fragmented or incomplete.
  • Alerts are noisy, dashboards do not answer operational questions, or service ownership is unclear.
  • A monitoring migration needs to preserve coverage while changing the underlying platform.
  • Telemetry volume and cost are growing without a clear model for what is useful.

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8Network connects instrumentation, telemetry pipelines, dashboards, alerting, and operating practices into one system. The work is vendor-aware but built around durable signals and open standards where they fit.

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Backend systems and integrations

Build and improve the software that connects products, data, users, and external services.

Useful when

  • A product needs a new backend capability or integration that must work reliably in production.
  • Authentication, payment, or third-party service flows have become difficult to change safely.
  • Event-driven workflows fail in ways that are hard to recover or reason about.
  • An existing backend needs modernization, performance work, or clearer service boundaries.

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8Network takes responsibility for backend behavior, integration boundaries, failure handling, and the production concerns around them. The work is designed around the system and business constraints rather than a preferred programming language.

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AI systems and workflow automation

Integrate AI into real software and business workflows with the controls needed to evaluate, operate, and improve it.

Useful when

  • An AI prototype needs to become a dependable feature inside an existing product or workflow.
  • A manual process could be accelerated with retrieval, tools, structured decisions, or assisted review.
  • An AI workflow works in demonstrations but lacks evaluation, visibility, or failure controls.
  • Multiple internal systems need to be connected through a governed automation workflow.

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8Network treats AI as one part of a production system. That means the workflow, data, integrations, review steps, failure behavior, evaluation, telemetry, and cost model are designed together.

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Not sure which service fits?

Start with the system or workflow that needs to change. We can define the right scope together.

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