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Efficiently scaling reads in PostgreSQL is essential for high-performance applications. In Part 5 of our Replicas tutorial, we explore how read replicas help distribute query loads, improve response times, and reduce strain on your primary database. This video covers: ➡️ Read scaling strategies for PostgreSQL and TimescaleDB ➡️ Key configuration settings like hot_standby_feedback, work_mem, and effective_cache_size ➡️ Best practices for optimizing performance while maintaining system stability By fine-tuning your replication setup, you can maximize query efficiency, reduce costs, and keep your database running smoothly—even under heavy workloads. 📖 Read our docs here: https://tsdb.co/replicas-docs ⭐️ Try Timescale free for 30-days - https://tsdb.co/7ianh2u8 #PostgreSQL #Replication #DatabaseScaling #ReadReplicas #HighAvailability 🐯 𝗔𝗯𝗼𝘂𝘁 𝗧𝗶𝗺𝗲𝘀𝗰𝗮𝗹𝗲 At Timescale, we see a world made better via innovative technologies, and we are dedicated to serving software developers and businesses worldwide, enabling them to build the next wave of computing. Timescale is a remote-first company with a global workforce backed by top-tier investors with a track record of success in the industry. 💻 𝗙𝗶𝗻𝗱 𝗨𝘀 𝗢𝗻𝗹𝗶𝗻𝗲! 🔍 Website ⇒ https://tsdb.co/homepage 🔍 Slack ⇒ https://slack.timescale.com 🔍 GitHub ⇒ https://github.com/timescale 🔍 Twitter ⇒ / timescaledb 🔍 LinkedIn ⇒ / timescaledb 🔍 Timescale Blog ⇒ https://tsdb.co/blog 🔍 Timescale Documentation ⇒ https://tsdb.co/docs