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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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What is infrastructure monitoring and why is it mission-critical in the new normal?

Dynatrace

Today’s IT infrastructures combine on-premise data centers, servers, and mainframes with highly dynamic multi-cloud environments, with microservices running in containers, spanning multiple clouds and hybrid infrastructure. AI-assistance: Use AI to detect anomalies and benchmark your system.

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How to Assess MySQL Performance

HammerDB

Therefore, before we attempt to measure our database performance, we should know the system or cloud instance to be tested in detail. This allows us to know our operating environment and its capability. Benchmarking the target Two of the more popular database benchmarks for MySQL are HammerDB and sysbench.

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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. Connection pooling: Minimizing connection overhead and improving response times for frequently accessed data by implementing mechanisms for connection pooling and caching strategies.

Tuning 52
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Average Page Load Times for 2020 – Are you faster?

MachMetrics

By analyzing the data from Backlinko.com and their Page Speed Stats article, we’ll look to answer these questions: What size should be a website be? Unfortunately, the data from Backlinko paints a bleak picture when it comes to mobile internet browsing. It’s still a drain on the visitor’s device battery and data plan.

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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

Photo by Adrian I spent six years at Cambridge Consultants, building some interesting systems, managing our Sun workstations and learning a lot, but by then Sun had opened a sales office across the street, and I wanted to find out what they were going to release next, before everyone else.

Tuning 52
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Tuning PostgreSQL Database Parameters to Optimize Performance

Percona

If queries perform full table scans where an index could be used or perform heavy joins or expensive aggregate operations, then the system can still perform poorly even if the database parameters are tuned. That means data is stored in memory twice, first in PostgreSQL buffer and then kernel buffer. wal_buffers.

Tuning 57