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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. It can achieve impressive performance, handling up to 50 million operations per second.

Metrics 130
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Using simple lookup indices in Cassandra gives us the ability to maintain acceptable read latencies while doing heavy writes.

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Synthetic Monitoring vs. RUM

Rigor

The measured traffic is not of your actual users; it is synthetically generated to collect data on page performance. As a result, users can identify latency and downtime promptly, and they can then scientifically isolate and diagnose the root cause of any performance issues that may arise. Benchmark Against Competitors.

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MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

This reduction in latency ensures that applications and websites provide a more rapid and responsive user experience. An unoptimized indexing strategy can impede data insertion and retrieval operations. One effective strategy is query rewriting, where you restructure your SQL queries to be more efficient.

Tuning 52
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Maximizing Performance of AWS RDS for MySQL with Dedicated Log Volumes

Percona

DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads. Overall, adopting this practice promotes a structured and efficient storage strategy, fostering better performance, manageability, and, ultimately, a more robust database environment.

AWS 102
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Redis vs Memcached in 2024

Scalegrid

For vertical scaling, Memcached allows augmenting existing servers with additional CPU cores and memory, thereby enhancing the capacity of the caching pool to manage higher traffic volumes and larger data loads. Elevate your cloud strategy today with ScaleGrid! <p>The </p>

Cache 130
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Real user monitoring vs. synthetic monitoring: Understanding best practices

Dynatrace

RUM, however, has some limitations, including the following: RUM requires traffic to be useful. In some cases, you will lack benchmarking capabilities. Because RUM relies on user-generated traffic, it’s hard to indicate persistent issues across the board. connectivity, access, user count, latency) of geographic regions.