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Designing Instagram

High Scalability

There are two major processes which gets executed when a user posts a photo on Instagram. Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity.

Design 334
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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. All these contribute significantly towards ensuring smooth functioning.

Metrics 130
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Software Testing Errors to look out for (with examples)

Testsigma

Example: An e-commerce website is unable to process the payment part. For example, a user has submitted a form, and the progress bar is showing no progress or activity then the user will get confused if the form has been submitted successfully or not. Example: divide by zero, multiplication of 2 large numbers, etc.

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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: ? Compressing them over the network: Which compression algorithm, if any, will we use? Compressing them over the network: Which compression algorithm, if any, will we use? Caching them at the other end: How long should we cache files on a user’s device?

Cache 291
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Implementing AWS well-architected pillars with automated workflows

Dynatrace

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS 252
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How to use Server Timing to get backend transparency from your CDN

Speed Curve

desc="Time to process request at origin" NOTE: This is not a new API. Caching the base page/HTML is common, and it should have a positive impact on backend times. The use of server-timing headers by content delivery networks closes a big gap. In the case of a cache miss, this should be zero.)

Servers 57
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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. Its goal is to assign running processes to time slices of the CPU in a “fair” way. Linux to the rescue?

Cache 251