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News

@atatusapp
atatus.com > blog > saas-vs-self-hosted-observability

SaaS vs Self-Hosted vs BYOC Observability: Full Comparison

2+ week, 1+ day ago   (1131+ words) These three terms get used loosely enough that the same word can mean different architectures depending on which vendor is saying it. Before comparing cost or latency, it's worth pinning down what's actually running where. The vendor owns the entire…...

@atatusapp
atatus.com > blog > postgresql-connection-pool-exhausted-kubernetes

PostgreSQL Connection Pool Exhausted in Kubernetes

2+ week, 4+ day ago   (1341+ words) "Connection pool exhausted" is one of PostgreSQL's most misleading production errors. The database is often healthy, while your application waits behind full connection pools. In Kubernetes, every pod and replica maintains its own pool, amplifying issues like connection leaks and…...

@atatusapp
atatus.com > blog > observability-platform-for-growth-stages

How to Choose an Observability Platform at Different Growth Stages?

2+ week, 5+ day ago   (1331+ words) This guide isn't a feature list. It's a framework: what observability actually means at each stage of growth, the signals that tell you it's time to change your stack, and a structured way to evaluate vendors so the decision holds…...

@atatusapp
atatus.com > blog > gcp-monitoring-guide

GCP Monitoring Guide: Setup, Metrics & Tools (2026)

3+ week, 1+ day ago   (904+ words) This is where GCP Monitoring - Google Cloud's native monitoring and observability stack, built around Cloud Monitoring, Cloud Logging, Cloud Trace, and their supporting services becomes the foundation for keeping distributed cloud-native systems reliable, fast, and debuggable. This guide walks through…...

@atatusapp
atatus.com > blog > observability-guide

Observability Guide 2026: Pillars, Tools & OpenTelemetry

3+ week, 3+ day ago   (1231+ words) When something breaks in a distributed system, "is it down?" is the easy question. "Why is it down, and where exactly?" is the one that actually costs engineering teams time. Observability is the practice and the tooling built to answer…...

@atatusapp
atatus.com > blog > powerful-on-premises-observability

On-Premises Observability: Enterprise Guide | Atatus

3+ week, 5+ day ago   (407+ words) On-premises observability is the practice of collecting and correlating the three pillars of telemetry such as metrics, logs, and traces, plus error data on top using a monitoring platform deployed entirely inside infrastructure the organization controls: a private data center,…...

@atatusapp
atatus.com > blog > diagnose-abnormal-kubernetes-workload-behavior

How to Diagnose Abnormal Kubernetes Workload Behavior (Step-by-Step)

1+ mon, 1+ day ago   (1400+ words) It's 2:14 AM. CPU usage is normal. Memory looks stable. No pods are in CrashLoopBackOff. Every dashboard is green. And yet API latency has doubled, checkout requests are timing out, and your on-call phone won't stop buzzing. This is the defining…...

@atatusapp
atatus.com > blog > alert-problems

Introducing AI-Powered Incident Correlation & Root Cause Detection

1+ mon, 2+ day ago   (1030+ words) An API latency spike hits your checkout service, and within ninety seconds your on-call phone won't stop buzzing. A CPU threshold breaches. A database connection pool exhausts. A pod restarts. An error rate crosses 5% on a downstream service. Six engineers…...

@atatusapp
atatus.com > blog > migrate-from-stackify-to-atatus

How to Migrate from Stackify to Atatus Before EOL?

1+ mon, 1+ week ago   (1005+ words) If you're an engineering manager, DevOps engineer, SRE, or platform engineer who already understands observability concepts and just wants the migration mechanics, this is written for you. BMC Helix, which owns Stackify Retrace, has confirmed the product's End of Life…...

@atatusapp
atatus.com > blog > introducing-mcp-observability

Atatus MCP Server: Connect AI Agents to Observability

1+ mon, 2+ week ago   (1109+ words) AI coding assistants like Claude, Cursor, Codex, GitHub Copilot have become standard tools in the modern engineering workflow. Developers use them to write code, generate tests, and review pull requests. But when something breaks in production, these assistants hit a…...