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Percentiles don’t work: Analyzing the distribution of response times for web services

Adrian Cockcroft

The common way to deal with this is to measure percentiles, and track the 90%, 99% response times for example. For example lets say you have a 99% within 2 seconds SLA, and your current 99%ile measured over one minute is 1 second. However it’s very difficult to decide what the right SLA is, or to tell how close you are to exceeding it.

Lambda 98
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How to Reduce Your CDN Infrastructure Expenses

IO River

For example, if you’re deploying the infrastructure for an e-commerce website, security becomes a fundamental requirement. For example, the first 10TB to South America cost $0.11.Source: For example, Lambda@Edge request pricing is $0.6 However, if your traffic is dynamic, you'll need a CDN that can adapt.Â

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How to Reduce Your CDN Infrastructure Expenses

IO River

For example, if you’re deploying the infrastructure for an e-commerce website, security becomes a fundamental requirement. For example, the first 10TB to South America cost $0.11.Source: For example, Lambda@Edge request pricing is $0.6 What features are important to you? per one million requests.

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Fast key-value stores: an idea whose time has come and gone

The Morning Paper

Generally to cache data (including non-persistent data that never sees a backing store), to share non-persistent data across application services (e.g. ” Even re-reading that today, the letter of the law there is surprisingly strict to me: you can use the local memory space or filesystem as a brief single transaction cache, but no more.

Cache 79
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How to Avoid Vendor Lock In

IO River

For example, consider the following scenario :‍Figure: A Vendor Lock-in Architecture‍You've used Amazon S3 to host your static site and content and Amazon API Gateway to host your APIs that clients will use to decide on the static content to fetch. For example, consider an Apple Lightning Cable and an Android Cable.

Lambda 52
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An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems

The Morning Paper

The paper examines the implications of microservices at the hardware, OS and networking stack, cluster management, and application framework levels, as well as the impact of tail latency. Smaller microservices demonstrated much better instruction-cache locality than their monolithic counterparts. Hardware implications.

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How to Avoid Vendor Lock In

IO River

CloudFront makes a simple choice here as it offers direct integration with all these services to let you cache responses across its global edge locations. For example, consider an Apple Lightning Cable and an Android Cable. Akamai tried to convince many users to use this new framework.

Lambda 52