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Cache and Prizes

Alex Russell

Browsers will cache tools popular among vocal, leading-edge developers. There's plenty of space for caching most popular frameworks. The best available proxy data also suggests that shared caches would have a minimal positive effect on performance. Browsers now understand the classic shared HTTP cache behaviour as a privacy bug.

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Progressive delivery at cloud scale: Optimizing CPU intensive code with Dynatrace

Dynatrace

Every other week Dynatrace ships a new version of our Software Intelligence Platform into production. And the code-level root cause information is what makes troubleshooting easy for developers. The method “hotspot view” provides many additional capabilities like decoding or downloading the byte code right here on the spot.

Code 245
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Sustainable IT: Optimize your hybrid-cloud carbon footprint

Dynatrace

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. From here, it’s time to consider the next level of energy optimization, green coding. Level 3: Green coding The topic of carbon reduction in data centers was new to me when I began digging into it just two years ago.

Cloud 218
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Code-level observability for Flutter apps drives great user experience

Dynatrace

The Dynatrace Software Intelligence Platform already supports a wide range of mobile development frameworks, from native Android, native iOS, iPad, tvOS, Cordova, Xamarin, to React Native. When you set up user actions in your code, OneAgent automatically links associated web requests to those user actions. What’s next.

Code 181
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Use Distributed Caching to Accelerate Online Web Sites

ScaleOut Software

The Solution: Distributed Caching. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52
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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. <code> 127.0.0.1:6379> <code> 127.0.0.1:6379>

Metrics 130
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Use Distributed Caching to Accelerate Online Web Sites

ScaleOut Software

The Solution: Distributed Caching. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52