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Fault Tolerance & High Availability What is Fault Tolerance? → Ability of a system to continue functioning even when some components fail → Ensures minimal downtime and uninterrupted services → Achieved through redundancy, replication, and failover mechanisms Fault Tolerance Techniques → Redundancy → Multiple instances of critical components → Replication → Copying data across multiple nodes or servers → Failover → Automatic switching to a standby system during failure → Error Detection → Identifying failures through monitoring and health checks → Graceful Degradation → Reducing functionality instead of full system crash What is High Availability (HA)? → High Availability ensures systems are always accessible with minimal downtime → Measured in “nines” (e.g., 99.9% uptime ≈ 8.76 hours downtime/year) → Achieved by designing systems to eliminate single points of failure High Availability Strategies → Load Balancing → Distribute traffic across multiple servers → Clustering → Group servers to act as a single system for reliability → Data Replication → Keep multiple data copies for recovery → Geographic Distribution → Deploy servers across regions to handle outages → Monitoring & Alerts → Detect failures early and respond quickly Fault Tolerance vs High Availability → Fault Tolerance → Focuses on preventing failures from affecting the system → High Availability → Focuses on minimizing downtime during failures → Both are often combined for mission-critical applications Real-World Examples → Banking → Redundant servers to ensure no downtime for transactions → Cloud Platforms → Replication across data centers for global uptime → E-commerce → Load balancers and failover systems during sales surges 👉 Grab the Backend Development with Projects Ebook here: codewithdhanian.gumroad.com/…

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☀️Selamat pagi, bro!

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