Remove support cache-control
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration.

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Cache-Control for Civilians

CSS Wizardry

To this end, having a solid caching strategy can make all the difference for your visitors. ?? How is your knowledge of caching and Cache-Control headers? Cache-Control. One of the most common and effective ways to manage the caching of your assets is via the Cache-Control HTTP header.

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PostgreSQL Connection Pooling: Part 3 – Pgpool-II

Scalegrid

It supports high-availability, provides automated load balancing, and has the intelligence to balance load between masters and slaves so write loads are always directed at masters, while read loads are directed to slaves. Check out the Pgpool-II architecture that supports all of its features, and learn how the connection pooler works.

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Fast memcpy, A System Design

ACM Sigarch

We assume a base multi-core processor four-way-issue load/store machine with 64-bit integer/address registers Rx, 128-bit (16-byte) data registers Vx, and an L1 D-cache that can do two operations per cycle, each reading or writing an aligned 16-byte memory word. Cache pollution is addressed in a section below.). Cache Underpinning.

Design 145
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The Return of the Frame Pointers

Brendan Gregg

Roger cited two other reasons for this change: The desire to outperform Intel's icc compiler, and the belief that it didn't break debuggers (of the time) since they supported other stack walking techniques. In Schrock's conclusion: "it's when people start compiling /usr/bin/ without frame pointers that it gets out of control."

Java 145
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Key Advantages of DBMS for Efficient Data Management

Scalegrid

DBMS enhances data security with encryption, implements various access controls, and enables improved data sharing and concurrent access, thus facilitating quick response to changes and maintaining consistent database accuracy. In a DBMS, data serves as the material which the system stores, structures, and controls.

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Percona Toolkit – A Quick Introduction to Summary

Percona

Caches | 12.4G Caches | 12.4G 2004l# Percona Toolkit System Summary Report ###################### Date | 2023-09-25 14:43:34 UTC (local TZ: CDT -0500) Hostname | testbox Uptime | 44 min, 1 user, load average: 0.47, 0.67, 0.57 Platform | Linux Release | Ubuntu 22.04.3 LTS (jammy) Kernel | 6.2.0-33-generic virtual = 2.2G Shared | 475.0M

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