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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key metrics like throughput, request latency, and memory utilization are essential for assessing Redis health, with tools like the MONITOR command and Redis-benchmark for latency and throughput analysis and MEMORY USAGE/STATS commands for evaluating memory. It depends upon your application workload and its business logic.

Metrics 130
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Five-nines availability: Always-on infrastructure delivers system availability during the holidays’ peak loads

Dynatrace

For retail organizations, peak traffic can be a mixed blessing. While high-volume traffic often boosts sales, it can also compromise uptimes. The nirvana state of system uptime at peak loads is known as “five-nines availability.” How can IT teams deliver system availability under peak loads that will satisfy customers?

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The State Of Mobile And Why Mobile Web Testing Matters

Smashing Magazine

These days, with mobile traffic accounting for over 50% of web traffic , it’s fair to assume that the very first encounter of your prospect customers with your brand will happen on a mobile device. A performance benchmark Lighthouse is well-known. billion by 2026. Its CI counterpart not so much. Large preview ).

Mobile 135
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The Surprising Effectiveness of Non-Overlapping, Sensitivity-Based Performance Models

John McCalpin

All of the SPECfp_rate2000 results were downloaded from www.spec.org, the results were sorted by processor type, and “peak floating-point operations per cycle” was manually added for each processor type. This includes all architectures, all compilers, all operating systems, and all system configurations.

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What Is a Workload in Cloud Computing

Scalegrid

Such solutions also incorporate features like disaster recovery and built-in safeguards that ensure data integrity across diverse operating systems. Additionally, the platform continuously monitors data through benchmarking functionalities providing valuable insights through its data analytics tools.

Cloud 130
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Compress objects, not cache lines: an object-based compressed memory hierarchy

The Morning Paper

Looking across a set of eight Java benchmarks, we find that only two of them are array dominated, the rest having between 40% to 75% of the heap footprint allocated to objects, the vast majority of which are small. Consider a B-Tree node from the B-tree Java benchmark: Uncompressed, it’s memory layout looks like (a) below. Evaluation.

Cache 61
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Android Device Testing: A No-hassle Guide For Testers

Testsigma

We don’t even need a moment to gather which operating system is the most used one. Unlike iOS development, Android development requires proper standards and varying benchmarks for performance and optimization. Android development is a booming business because of the number of users it has.

Testing 52