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The Ultimate Guide to Database High Availability

Percona

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. A basic high availability database system provides failover (preferably automatic) from a primary database node to redundant nodes within a cluster. HA is sometimes confused with “fault tolerance.”

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

RedisĀ® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. Redis returns a big list of database metrics when you run the info command on the Redis shell. This blog post lists the important database metrics to monitor.

Metrics 130
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Designing Instagram

High Scalability

We will use a graph database such as Neo4j to store the information. Additionally, we can use columnar databases like Cassandra to store information like user feeds, activities, and counters. Sample Queries supported by Graph Database. System Components. Component Design. Posting on Instagram. API Design. Data Models.

Design 334
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Use Distributed Caching to Accelerate Online Web Sites

ScaleOut Software

Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. In addition, repeatedly accessing back-end databases to serve up popular items, such as product descriptions and news stories, also adds to the bottleneck. The Solution: Distributed Caching.

Cache 52
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RedisĀ® Monitoring Strategies for 2024

Scalegrid

RedisĀ® Monitoring Essentials Ensuring the performance, reliability, and safety of a RedisĀ® database requires active monitoring. With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times.

Strategy 130
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Use Distributed Caching to Accelerate Online Web Sites

ScaleOut Software

Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. In addition, repeatedly accessing back-end databases to serve up popular items, such as product descriptions and news stories, also adds to the bottleneck. The Solution: Distributed Caching.

Cache 52
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Netflix Android and iOS Studio Apps?ā€”?now powered by Kotlin Multiplatform

The Netflix TechBlog

The nature of the work means weā€™re developing write-heavy software, in a distributed environment, on devices where less than ? The high likelihood of unreliable network connectivity led us to lean into mobile solutions for robust client side persistence and offline support. Networking Hendrix interprets rule set(s)?ā€”?remotely

Mobile 279