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RELIABILITY
Fewer incidents. Predictable production.

Production Reliability

RTZ Labs provides production reliability engineering for teams running Kubernetes, Istio, Envoy, and AWS – reducing incident frequency, troubleshooting service mesh and traffic-path performance problems, and building SLOs and observability that reflect real customer impact.

As a product grows, reliability stops being automatic. Incidents increase, alerts get noisy, and nobody owns a deep look at how the system actually fails. We work alongside your engineers to make production predictable: define what reliability means for your service, close the failure modes that cause real outages, and give your team observability they can act on. The goal is boring, dependable infrastructure – so on-call stops being the reason people leave.

Provider
RTZ Labs
Engagement type
Project engagement
Who it is for
Engineering teams running customer-facing production workloads on Kubernetes and AWS, typically 10–100 engineers
Availability
Remote, serving the United States and Canada
Technology scope
Kubernetes, Istio, Envoy, AWS, Service Mesh, Prometheus, Grafana, Datadog, OpenTelemetry
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What you get

Clear deliverables and a practical handover – so your team can keep moving after the engagement.

Reliability baseline

Failure modes, incident patterns, and the gaps between stated goals and what the system can deliver today.

SLOs, SLIs, and observability plan

Service-level objectives tied to customer impact, plus the metrics, traces, and alerts to support them.

Prioritized remediation roadmap

Ranked fixes by blast radius and effort – quick wins first, then the structural work that reduces recurring incidents.

Typical outcomes

  • Fewer production incidents and a lower mean time to recovery
  • SLOs and SLIs that reflect what your customers actually feel
  • Observability that surfaces real problems instead of noise
  • Clear ownership and runbooks for the failure modes that matter

Problems this solves

The situations teams are usually in when they bring us into production reliability work.

  • Production incidents are increasing faster than the team can absorb them
  • Istio or Envoy is adding latency and nobody can explain where
  • Alerting is noisy and mean time to recovery is unpredictable
  • Service mesh retries and timeouts amplify failures instead of containing them
  • There are no SLOs, or the SLOs do not reflect what customers experience
  • Nobody owns a deep look at how the system actually fails

How we work

A predictable flow that reduces risk, keeps stakeholders aligned, and delivers real progress fast.

01
Discover
Align on critical paths, recent incidents, and what "reliable enough" means for your product.
02
Assess
Review architecture, metrics, and failure domains across AWS and Kubernetes with production evidence.
03
Prioritize
Rank findings by impact and effort so your team gets a backlog it can actually schedule.
04
Improve
Implement or guide the fixes – alongside your engineers – and validate that reliability improved.

Good fit if…

  • You run customer-facing workloads on AWS, often on Kubernetes
  • Incidents are increasing faster than your team can absorb them
  • Alerting is noisy and MTTR is unpredictable
  • You need a senior, evidence-first look at how production really fails

Not ideal if…

  • You have not shipped to production yet and want greenfield planning only
  • You need a 24/7 outsourced NOC as the primary deliverable

FAQs

Quick answers to common questions about this service.

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