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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

In this post, I’m going to break these processes down into each of: ? Caching them at the other end: How long should we cache files on a user’s device? In our specific examples above, the one-big-file pattern incurred 201ms of latency, whereas the many-files approach accumulated 4,362ms by comparison. main.af8a22.css

Cache 291
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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. And while these examples were resolved by just asking a few questions, in many cases, the answers are more elusive, requiring real-time and historical drill-downs into the processes and dependencies specific to each host.

Cloud 209
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Progressive delivery at cloud scale: Optimizing CPU intensive code with Dynatrace

Dynatrace

If that’s the case, the update process continues to the next set of clusters and that process continues until all clusters are updated to the new version. And the code-level root cause information is what makes troubleshooting easy for developers. Step 3: Identifying root-cause in code. Step 4: Fixing the issue.

Code 242
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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.

Cache 82
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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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Code-level observability for Flutter apps drives great user experience

Dynatrace

When Davis detects deviations from this baseline (for example, a sudden dip in usage or a user action that lasts longer than expected), it generates a problem event , identifies the root cause of the problem, and sends notifications based on the configured alerting profile. OneAgent for mobile apps is specific to iOS and Android.

Code 173
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Radically speed up your code by fixing slow or frequent garbage collection

Dynatrace

Garbage collection is slow if most objects survive the collection process. Optimize your code by finding and fixing the root cause of garbage collection problems. These details arm you with the knowledge necessary to find the respective code and remove unnecessary allocations. Let’s take a look at how this works. .

Speed 165