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Best practices and key metrics for improving mobile app performance

Dynatrace

This includes how quickly the application loads, how much load it is putting on the device, how much storage is being used, and how frequently it crashes. By monitoring metrics such as error rates, response times, and network latency, developers can identify trends and potential issues, so they don’t become critical.

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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. Similarly, an increased throughput signifies an intensive workload on a server and a larger latency.

Metrics 130
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Top 10 Tips for Making the Spark + Alluxio Stack Blazing Fast

DZone

In addition, compute and storage are increasingly being separated causing larger latencies for queries. Alluxio is leveraged as compute-side virtual storage to improve performance. But to get the best performance, like any technology stack, you need to follow the best practices.

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Implementing AWS well-architected pillars with automated workflows

Dynatrace

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 246
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What is ITOps? Why IT operations is more crucial than ever in a multicloud world

Dynatrace

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. The primary goal of ITOps is to provide a high-performing, consistent IT environment.

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MySQL Key Performance Indicators (KPI) With PMM

Percona

Another related variable, innodb_buffer_pool_instances, determines the number of buffer pool instances for the InnoDB storage engine, which can improve the performance of multi-core systems by reducing contention on the buffer pool latch. Disk space usage Monitor the disk space usage of MySQL data files, log files, and temporary files.

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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. MySQL relies heavily on the availability of hardware resources to perform at its best. By analyzing disk I/O metrics, you can optimize queries to reduce disk reads or upgrade to faster storage solutions.

Tuning 52