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
- Related expertise
- IstioEnvoy & service meshObservability
What you get
Clear deliverables and a practical handover – so your team can keep moving after the engagement.
Reliability baseline
SLOs, SLIs, and observability plan
Prioritized remediation roadmap
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.
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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