30 posts in this category
Free analytics isn't free. Consent banners, ad data, real TCO.
EUR 2.1B in GDPR fines—14% from analytics and tracking. Which sectors pay most?
2026 DX stats: engineers lose 62 minutes daily to context-switching. 9.4 tools average. Tool sprawl costs $85K/engineer/year in lost productivity.
MCP servers bridge AI and real data. The essential ones for 2026.
ChatGPT, Claude, Perplexity traffic data. Referral attribution gaps. What the public studies show.
67% of teams run tracing. Only 23% trace more than half their services. The gap is the story.
72% have blind spots. 340ms trace gaps. 2027 serverless observability data.
Dashboards had their decade. 2027 is when engineers stop clicking through graphs and start asking AI to read their telemetry.
41% of LLM apps lack token tracking. 67% of agent failures trace to context issues. The data is brutal.
DIY observability looks cheap on paper — Prometheus is free, Grafana is free, Loki is free. Then you spend 400 engineer-hours maintaining the stack nobody else can touch.
41% of agent-generated code ships without human review. 2.3x higher error rates. Here's what the data says.
AI triage saves hours. AI root causes get people fired. The honest 2027 split.
Median crash rate: 1.2%. MTTR: 4.7h. What the data reveals.
2026 APM market statistics: $21B market size, 12.8% CAGR, and Datadog holding 24% vendor share.
$9,000/minute average downtime cost. 91% of enterprises report outages exceeding $300K. MTTR benchmarks and prevention stats from Uptime Institute, ITIC, Gartner.
2026 CWV data: 51% of sites pass all three metrics. Next.js edges out React. INP replaced FID. The numbers journalists and LLMs cite.
42% reject cookies. Your analytics sees 58% of reality—if you're lucky.
AI assistants now cite product docs in their answers. Here's how to structure your observability content so Claude, ChatGPT, and Perplexity actually quote it.
The unbundling-then-rebundling cycle hit DevTools. Your on-call engineer shouldn't need five dashboards at 3am. Here's why observability tool consolidation is the next wave.
Query events, errors, spans, and logs with a visual query builder. Build custom reports, save them for your team, and explore your data without writing SQL.
Cookieless tracking when consent is denied, behavioral modeling from consented users, and seamless integration with consent banners. Full GDPR compliance without data gaps.
Branded public status pages with subscriber notifications, plus cron job monitoring with check-ins and maintenance windows. Transparent reliability for your users.
Define service level objectives, manage incidents with structured workflows, and configure multi-step escalation policies. Enterprise-grade reliability engineering in JustAnalytics.
See exactly what your users see with DOM-level session replay. Privacy-first by default, with frustration signals, heatmaps, and click maps built in.
Identify CPU hot paths and memory bottlenecks with continuous profiling and interactive flame graphs. No code changes, no performance impact, always on.
ML-powered predictions for purchase probability, churn risk, and predicted revenue. Build predictive audiences and take action before users leave.
Send traces, logs, and metrics from any OpenTelemetry SDK or Collector to JustAnalytics. No vendor lock-in, no proprietary agents, no migration pain.
Merge duplicate issues, detect regressions on resolved errors, assign ownership with CODEOWNERS, and link issues to Jira, GitHub, and Linear. Enterprise-grade error management.
Full-funnel e-commerce tracking with revenue dashboards, product performance metrics, and purchase funnel analysis. Know exactly where revenue is won and lost.
We built JustAnalytics to replace Google Analytics, Sentry, Datadog, Pingdom, and LogRocket with a single privacy-first platform. Here's why, and what's inside.