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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Evaluating factors like hit rate, which assesses cache efficiency level, or tracking key evictions from the cache are also essential elements during the Redis monitoring process.

Metrics 130
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Update of our SSO services incident

Dynatrace

As our CTO Bernd Greifeneder shared in his blog post , what was a relatively small software release resulted in a large number of our customers b eing una ble to access their Dynatrace environments. Two weeks ago, we experienced a service interruption with our SSO service. Hopefully never.) This has been completed.

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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

This blog series will examine the tools, techniques, and strategies we have utilized to achieve this goal. In this testing strategy, we execute a copy (replay) of production traffic against a system’s existing and new versions to perform relevant validations. This approach has a handful of benefits.

Traffic 339
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MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

Reduced Resource Usage Optimizing resource-intensive queries and configurations can lead to a reduced burden on your server. An improperly configured server may not allocate sufficient resources or be optimized for the specific workload. An unoptimized indexing strategy can impede data insertion and retrieval operations.

Tuning 52
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Redis® Monitoring Strategies for 2024

Scalegrid

To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. Selecting the right tool plays an important role in managing your strategy correctly while ensuring optimal performance across all clusters or singularly monitored redistributions.

Strategy 130
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RUM vs APM

KeyCDN

These acronyms, which stand for real user monitoring and application performance monitoring, are software monitoring processes essential to measuring and evaluating applications in many different areas. Developers use APM as part of a broader strategy to ensure certain goals are met while RUM is a more narrow tool to support that strategy.

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Consistent caching mechanism in Titus Gateway

The Netflix TechBlog

We introduce a caching mechanism in the API gateway layer, allowing us to offload processing from singleton leader elected controllers without giving up strict data consistency and guarantees clients observe. We started seeing increased response latencies and leader servers running at dangerously high utilization. of the data.

Cache 224