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The Power of Caching: Boosting API Performance and Scalability

DZone

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing.

Cache 246
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Is ANALYZE TABLE Safe on a Busy MySQL Database Server?

Percona

MySQL Server – Community Edition The problem applies to all versions of the upstream MySQL Community up to 8.0.23. Here is an example scenario you may end up here: mysql > select @@version,@@version_comment; + --+ + | @@version | @@version_comment | + --+ + | 5.7.43 | MySQL Community Server (GPL) | + --+ + 1 row in set (0.00

Servers 98
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Five Data-Loading Patterns To Improve Frontend Performance

Smashing Magazine

Five Data-Loading Patterns To Improve Frontend Performance. Five Data-Loading Patterns To Improve Frontend Performance. Data loading patterns are an essential part of your application as they will determine which parts of your application are directly usable by visitors. But isn’t waiting for the data the point?

Cache 127
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How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

The Netflix TechBlog

the order of the rows on your Netflix home page, issuing content licenses when you click play, finding the Open Connect cache closest to you with the content you requested, and many more). In the Reliability space, our data teams focus on two main approaches. All these micro-services are currently operated in AWS cloud infrastructure.

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Kubernetes in the wild report 2023

Dynatrace

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform.

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Designing Instagram

High Scalability

When the server receives a request for an action (post, like etc.) from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. The streaming data store makes the system extensible to support other use-cases (e.g.

Design 334
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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

It can happen on an edge API system servicing customer devices, between the edge and mid-tier services, or from mid-tiers to data stores. The first phase involves validating functional correctness, scalability, and performance concerns and ensuring the new systems’ resilience before the migration.

Traffic 342