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#observability

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13 articles

Distributed Data Observability: Metrics That Actually Matter

Distributed Data Observability: High-Signal Metrics In a distributed data system, CPU and RAM are "low-signal" metrics. A system can have 10% CPU usage and still be completely stalled. To truly understand the health of y…

Apr 20, 20262 min read

Deep Dive

#observability#monitoring#distributed-systems

System DesignAdvanced

Distributed Tracing Propagation: Mastering B3 and W3C Traceparent Headers

Distributed Tracing Propagation When a request travels through 10 different services, how does Zipkin or Jaeger know they all belong to the same user click? The answer is Context Propagation. 1. Trace ID vs. Span ID - Tr…

Apr 20, 20263 min read

Deep DiveDistributed Systems Mastery

#distributed-tracing#opentelemetry#observability

System DesignAdvanced

System Design: Designing a Metrics Monitoring and Alerting System

System Design: Designing a Metrics Monitoring System Monitoring is the nervous system of any production infrastructure. A metrics monitoring system must ingest millions of data points every second, store them efficiently…

Apr 20, 20263 min read

Deep Dive

#system-design#monitoring#prometheus

System DesignAdvanced

System Design: Building a Distributed Tracing Platform

Metrics tell you that latency is bad. Logs tell you that something failed somewhere. Traces tell you which request went where, in what order, and where the time actually disappeared. That is why tracing becomes essential…

Apr 18, 202611 min read

Deep Dive

#system design#distributed tracing#observability

AI/MLAdvanced

LLM Observability in Production: Traces, Evals, Cost, Latency, and Failure Modes

LLM systems fail differently from normal backend systems. A normal service usually fails with a timeout, an exception, or a bad status code. An LLM application can return a fluent answer that is wrong, unsupported by ret…

Apr 8, 202611 min read

Deep Dive

#llm#observability#evals

System DesignAdvanced

System Design: Building an API Gateway Platform

An API gateway is the front door to your backend. It receives traffic before your services do, which makes it powerful and dangerous. A good gateway centralizes routing, authentication, rate limiting, request shaping, ob…

Apr 8, 20268 min read

Deep Dive

#system design#api gateway#rate limiting

System DesignAdvanced

System Design: Building a Metrics Platform Like Prometheus

Metrics platforms answer operational questions quickly: - Is error rate increasing? - Which service owns the latency spike? - Did a deployment change request volume? - Which tenant is causing the queue backlog? - Are we…

Apr 8, 202610 min read

Deep Dive

#system design#metrics#observability

System DesignAdvanced

Production Incident Playbooks: Debugging Latency, Errors, and Traffic Spikes

Production incidents are not solved by heroics. They are solved by reducing uncertainty quickly. When latency jumps, errors spike, or a queue backlog grows, the worst thing a team can do is randomly restart services, add…

Apr 7, 20265 min read

Playbook

#incident response#production debugging#observability

JavaAdvanced

Spring Boot Production Readiness Checklist: Timeouts, Pools, Health Checks, and Observability

Spring Boot makes it easy to start a service. Production makes it clear whether the service is actually ready. A production-ready service is not just one that passes unit tests. It has bounded timeouts, sane thread pools…

Apr 7, 20264 min read

Deep Dive

#spring boot#production readiness#java

System DesignAdvanced

Building Production Observability with OpenTelemetry and Grafana Stack

Observability is not the same as monitoring. Monitoring tells you something is wrong. Observability lets you understand why — by exploring system state through metrics, traces, and logs without needing to know in advance…

Jul 3, 20256 min read

Deep Dive

#observability#opentelemetry#prometheus

System DesignAdvanced

Service Mesh with Istio: mTLS, Traffic Management, and Observability

A service mesh solves three problems that grow exponentially with microservice count: security (every service-to-service call should be encrypted and authenticated), reliability (circuit breaking, retries, timeouts consi…

Mar 31, 202512 min read

Deep Dive

#istio#service mesh#kubernetes

DatabasesIntermediate

Time-Series Databases: InfluxDB vs TimescaleDB vs Prometheus

Time-series data is fundamentally different from general-purpose data: it arrives in time order, is queried by time ranges, has predictable decay in value, and has write patterns that overwhelm traditional relational dat…

Mar 29, 202511 min read

Deep Dive

#time-series#influxdb#timescaledb

System DesignAdvanced

Distributed Tracing with OpenTelemetry: End-to-End Observability

A request enters your system, touches 8 services, and takes 3 seconds. Which service is slow? Without distributed tracing, you're correlating timestamps across 8 log files. With distributed tracing, you click on the trac…

Mar 5, 202511 min read

Deep Dive

#observability#opentelemetry#distributed tracing