
Explain the what, and why, but not how; cover the edge cases; break or adapt templates where necessary.
Explain the what, and why, but not how; cover the edge cases; break or adapt templates where necessary.
PostgreSQL’s powerful query planner relies heavily on up-to-date table and column statistics to decide whether to use indexes or full-table scans for your queries. When these statistics become outdated—often after bulk updates or large data changes—Postgres can start making bad decisions, causing indexes to be ignored and query performance to drop sharply.
A practical look at terminal emulators, shells, and a handful of CLI tools that can help streamline your workflow, save time, and reduce friction in your daily development tasks.
Performance testing is essential to ensure your system performs reliably under real-world conditions. This blog introduces Locust, a powerful and scalable load-testing framework, guiding you through its setup, data preparation, and script writing. Learn how to handle bulk test data, analyze Locust’s detailed reports, and use its intuitive interface to identify performance bottlenecks and make optimizations for a more reliable system.
Backlog grooming is an essential practice for restoring clarity and direction to struggling projects. A poorly managed backlog— filled with outdated tasks, unclear priorities, and abandoned ideas— causes inefficiencies, delays, and reduced morale. Cleaning it ensures alignment with project goals, creates actionable tasks, prevents bottlenecks, and boosts team confidence. By prioritizing regular backlog grooming and focusing on clarity, teams can transform chaos into structured progress, setting the foundation for successful delivery.
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