Observability
Telemetry that makes unknown failure modes legible before they become customer-visible.
MetricsTracingLogs
Production systems / nominal
Jordan Mehta · Site Reliability Engineer
Site reliability engineering
Make failure
boring.
I design resilient platforms, observable services and calm incident-response systems. My work turns operational uncertainty into measurable reliability, without hiding the complexity underneath.
Live reliability shape
Service health / 30 day signal
Stability is not a screenshot. It is a system of feedback loops, budgets, automation and learning.01 / Operating philosophy
Reliability lives
between the lines.
I work where software meets production reality: capacity, latency, failure modes, deployment safety, observability and the human response around every alert. I prefer small, testable controls over heroic intervention, and postmortems that produce better systems, not blame.
99.98% service availability
42production incidents led
18minutes median recovery
64runbooks automated
02 / Reliability toolkit
Build the guardrails.
Measure the edge cases.
Cloud platforms
Production infrastructure designed for predictable scaling, isolation and recoverability.
KubernetesIaCContainers
Incident command
Clear roles, useful alerts and disciplined communication when systems behave unexpectedly.
On-callICPostmortems
03 / Experience
Systems I have
kept standing.
Senior SRE · Northstar Cloud
Own reliability for multi-region APIs and internal platforms. Introduced service-level objectives, error-budget policy and automated rollback paths across 30+ production services.
Platform Engineer · Relay Systems
Built Kubernetes platform primitives, deployment guardrails and developer self-service tooling. Cut mean time to recovery by 38% while reducing noisy alerts.
Systems Engineer · Meridian Labs
Operated Linux fleets and distributed services, developed capacity models and established the first structured incident-review practice.
04 / Selected systems
Proof in production.
CASE 01 / ERROR BUDGET
From alert storm to decision system.
Reframed reliability around customer-impacting SLOs, routing alerts through burn-rate thresholds and connecting error budgets directly to release decisions.
SLOsPrometheusGrafana
CASE 02
Zero-downtime migrations
Progressive schema changes, canaries and rollback-safe deploys for high-volume services.
CASE 03
Incident command kit
Role cards, automation hooks and communication patterns that reduce cognitive load during outages.
05 / Method
Observe → model →
automate → learn.
Find the signal.
Start with user impact, telemetry and failure evidence rather than assumptions.
Set the boundary.
Define SLOs, dependencies, capacity limits and explicit failure modes.
Remove toil.
Turn repeated operational decisions into safe, testable automation.
Improve the system.
Use incidents and near misses to strengthen architecture and operations.
06 / Contact
Let's make
failure boring.
For platform reliability, SRE leadership, incident-readiness or infrastructure work, send a short note.
✉ jordan.mehta@example.com
☎ +1 720 555 0139
◈ Denver, CO