Beginner Topic 7 of 51 Distributed Systems & Cloud
Availability and Reliability
Fraction of time working and consistency of correct operation.
How it works
Availability is the fraction of time a system is operational and able to serve requests, often expressed in nines: 99.9 percent allows about 8.8 hours of downtime per year, 99.99 percent about 53 minutes. Reliability is the probability that it performs correctly over a period, measured by mean time between failures, while recovery time and mean time to repair determine how quickly service returns. Redundancy, failover, health checks, graceful degradation and avoiding single points of failure improve both. Service level objectives set targets.
Where it is used
Cloud services publish SLAs, and architects compute availability of composed systems: serial dependencies multiply availabilities, while redundant components improve them.
Common pitfall
Each added nine costs much more. Dependencies lower overall availability, so a service depending on five 99.9 percent services cannot exceed about 99.5 percent. Untested failover often fails when needed. Correlated failures defeat redundancy. Define SLOs from user impact, practice failure drills and monitor error rates.
Where it fits in the course
Availability and Reliability is topic 7 of 51 in Distributed Systems & Cloud, rated Beginner. It follows Latency vs Throughput. The next topic is Remote Procedure Calls.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Distributed Systems & Cloud quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Distributed Systems & Cloud quiz, and revisit the topic if you miss a question.
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Related topics
- Latency vs Throughput (Distributed Systems & Cloud)
- Remote Procedure Calls (Distributed Systems & Cloud)
- Vertical vs Horizontal Scaling (Distributed Systems & Cloud)
- Message Queues (Distributed Systems & Cloud)
- Site Reliability Engineering (Software Engineering)