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Blog

Stories, guides, and lessons from the world of observability

Database Performance Tuning: A Practical Guide for Production Systems

Database Performance Tuning: A Practical Guide for Production Systems

Tune PostgreSQL and MySQL for production with connection pooling, memory configuration, write path optimization, vacuum management, and lock contention fixes.

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Preeti Dewani

Preeti Dewani

Traces Are Not Your Business Logic

Traces Are Not Your Business Logic

Distributed traces track how your system processed a single request — not what your customers did over time. Confusing the two leads to poorly instrumented systems.

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Mukta Aphale

Mukta Aphale

SQL Query Optimization: Techniques That Actually Improve Performance

SQL Query Optimization: Techniques That Actually Improve Performance

Find and fix slow SQL queries using execution plans, missing index detection, N+1 pattern fixes, and pagination strategies for PostgreSQL and MySQL.

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Sahil Khan

Sahil Khan

Database Indexing

Database Indexing: How It Works, Types, and When to Use It

How database indexes work, when to use B-tree vs hash indexes, clustered vs non-clustered indexes, and how to tell if your indexes are actually helping.

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Faiz Shaikh

Faiz Shaikh

Stop Flying Blind Last9

Stop Flying Blind: Synthetic Monitoring, Host heat-maps, and Process-Level Visibility

Most teams learn about outages from customers. Synthetic monitoring, host heat-maps, and AI streaming help you know before being told.

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Nishant Modak

Nishant Modak

High Cardinality Metrics TradeOffs

High Cardinality Metrics: How Prometheus and ClickHouse Handle Scale

Prometheus pays for high cardinality metrics at write time. ClickHouse pays at query time. Neither solves it : they fail differently. Here's how to choose.

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Aditya Godbole

Aditya Godbole

Preeti Dewani

Preeti Dewani

Logs vs Metrics: A Practical Guide for Engineers

Logs vs Metrics: A Practical Guide for Engineers

Metrics tell you something is wrong. Logs tell you what is wrong. A practical guide on when to use each for effective observability.

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Mukta Aphale

Mukta Aphale

New Relic pricing cost analysis visualization

New Relic Pricing: Plans, Data Costs & How to Cut Your Bill

New Relic charges per user ($99-$349/month) plus per GB of data ingested ($0.40/GB after 100 GB free). A team of 5 engineers with 500 GB/month pays $650-$2,000. See full cost breakdowns and 5 ways to save.

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Tripad Mishra

Tripad Mishra

Sentry pricing tiers visualization

Sentry Pricing: Full Breakdown, Real Cost Examples & How to Save

Sentry pricing starts free (5K errors/month) and scales to $80/month on the Business plan. Actual costs depend on error volume, tracing spans, and session replays. See real cost examples and 5 ways to cut your bill.

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Faiz Shaikh

Faiz Shaikh