- Published on
Understand the key differences between fault tolerance and high availability in system design. Learn how they impact reliability, downtime, cost, and when to use each based on your system's needs.
System-design
All Posts
- system-design (153)
- system-design-interview (42)
- database (34)
- interview-prep (30)
- low-level-design (22)
- oop (15)
- databases (15)
- normalization (10)
- misc (10)
- networking (9)
- golang (9)
- load-balacing (9)
- distributed-systems (8)
- caching (8)
- indexes (8)
- data-structures (7)
- erd (7)
- uml (6)
- solid (6)
- messaging (6)
- theorem (6)
- security (6)
- oop-pillars (5)
- data-partitioning (5)
- functional-dependency (4)
- data-modeling (4)
- bloom-filters (4)
- cdn (4)
- (4)
- programming (3)
- scalability (3)
- dbms (3)
- relational-data-model (3)
- distributed-file-system (3)
- recovery (3)
- replication (3)
- proxy (3)
- dns (3)
- api-gateway (3)
- algorithms (2)
- searching-algorithms (2)
- relational-model (2)
- oop-principle (2)
- check-sum (2)
- redundancy (2)
- system-designs (1)
- tiny-url (1)
- performance (1)
- load-balancing (1)
- course (1)
- arrays (1)
- slices (1)
- typescript (1)
- sorting-algorithms (1)
- strings (1)
- leetcode (1)
- binary-search (1)
- problem-solving (1)
- setup (1)
- go-command (1)
- hello-world (1)
- history (1)
- trade-offs (1)
- er-diagram (1)
- integrity-constraints (1)
- armstrong-axioms (1)
- oop-relationship (1)
- tips (1)
- synchronous (1)
- asynchronous (1)
- leader-follower (1)
- architectural-pattern (1)
- batch-processing (1)
- streams (1)
- heart-beat (1)
- quorum (1)
- error-handling (1)
- high-availability (1)
- observability (1)
- monitoring (1)
- concurrency (1)
- availability (1)
- key-concepts (1)
- load-balacing-algorithms (1)
- load-balacing-uses (1)
- Published on
Learn how to reduce latency and boost performance in distributed systems using data locality, load balancing, and caching strategies. These simple techniques can significantly enhance speed, scalability, and user experience.- Published on
Learn the difference between monitoring and observability in distributed systems. Understand metrics, logging, tracing, dashboards, and alerts with real-world examples and top tools like Prometheus, Grafana, and Jaeger.- Published on
Explore how concurrency control, synchronization, coordination services, and consistency models ensure efficient and reliable operations in distributed systems.- Published on
Learn how to achieve high availability in distributed systems using simple strategies like redundancy, load balancing, distributed storage, and health monitoring to keep your services reliable and always online.