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The Amazon.com 2010 Shareholder Letter Focusses on Technology. In the 2010 Shareholder Letter Jeff Bezos writes about the unique technologies developed at Amazon.com over the years. No Server Required - Jekyll & Amazon S3. The Amazon.com 2010 Shareholder Letter Focusses on Technology. All Things Distributed. Comments ().
The Multicore Era Over the past ~15 years, server processors from Intel and AMD have evolved from the early quad-core processors to the current monsters with over 50 cores per socket. GB/s peak DRAM bandwidth, requiring 6 concurrent 64-byte cache line accesses to be pending at all times to maintain full bandwidth.
No Server Required - Jekyll & Amazon S3. The increasing sophistication of client-side JavaScript has redefined what dynamic means; where in the past dynamic content would be mainly server generated, today much content is served statically with JavaScript on the client side doing the dynamic modifications. No Server Required.
Our solution doesn't require any change on the origin server. WebP is the way to go WebP was first developed by Google back in 2010 and has now become the successor of JPEG. Even if a browser doesn't support WebP, our WebP caching feature will ensure that the correct image format is delivered. The benefits of WebP are obvious.
Today AWS has launched Amazon ElastiCache , a new service that makes it easy to add distributed in-memory caching to any application. Amazon ElastiCache handles the complexity of creating, scaling and managing an in-memory cache to free up brainpower for more differentiating activities. No Server Required - Jekyll & Amazon S3.
By Werner Vogels on 05 December 2010 02:00 PM. It would not be a first that a customer thinks that his EC2 instance is down when in reality it is some name server somewhere that is not functioning correctly. There are two main types of DNS servers: authoritative servers and caching resolvers. Comments ().
Page speed has been a key factor in Google’s ranking algorithm since 2010 , so it is essential to understand the various ways you can optimize your pages and why implementing synthetic monitoring can ensure your pages perform flawlessly and revenue isn’t lost. Browser Caching: Although it may seem commonplace, caching is sometimes overlooked.
My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory.
Simple parameterization has a number of quirks in this area, which can result in more parameterized plans being cached than expected, or finding different results compared with the unparameterized version. When SQL Server applies simple parameterization to an ad-hoc statement, it makes a guess about the data type of the replacement parameter.
This five-part series takes a deep dive into the way SQL Server row mode parallel plans start up. The desired plan shape can also be obtained against the smaller Stack Overflow 2010 data set if that is more convenient. See Myth: SQL ServerCaches a Serial Plan with every Parallel Plan for details. MonthlyPosts AS. (
Google developed WebP back in 2010 after acquiring a company called On2 Technologies. It’ll handle the conversion, but it won’t help you modify your origin server so that it knows when to deliver WebPs and when to deliver a traditional image format to visitors. What Is WebP Caching? What is WebP? Source: KeyCDN ).
In this first part, after a quick introduction, I look at the effects of simple parameterization on the plan cache. It's almost always better to explicitly parameterize statements, rather than relying on the server to do it. The aim is to reduce compilations by increasing cached plan reuse. Simple Parameterization. Shell Plans.
The Multicore Era Over the past ~15 years, server processors from Intel and AMD have evolved from the early quad-core processors to the current monsters with over 50 cores per socket. GB/s peak DRAM bandwidth, requiring 6 concurrent 64-byte cache line accesses to be pending at all times to maintain full bandwidth.
It’s no surprise even highly experienced SQL Server users tend to get this wrong, given the contradictory information often supplied to us. Let’s look at some examples using the Stack Overflow 2010 database on SQL Server 2019 CU 14, with database compatibility set to 150. It’s important to remember the plan must be cached.
A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. The fastest Androids predictably remain 18-24 months behind, owing to cheapskate choices about cache sizing by Qualcomm, Samsung Semi, and all the rest. The Moto G4 , for example.
When the parser allows simple parameterization to continue, SQL Server® increments the Auto-Param Attempts/sec counter of the SQL Statistics object. As in previous parts, code examples use the Stack Overflow 2010 database on SQL Server 2019 CU 16 with the following additional nonclustered index: CREATE INDEX [ IX dbo.
The most important things to understand about server-side parameterization are it doesn’t happen all at once and a final decision to parameterize isn’t made until the end of the process. Imagine someone handing you a query written for an unknown SQL Server database and asking you to identify parameterizable constants. usecounts , CP.
My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory.
With Helsinki being the capital and most populous municipality of Finland, it makes for a great edge server location. However, now with the Helsinki edge server in production, this helps further close the gap between visitors who live in Finland and the nearest KeyCDN POP they have access to.
To recap: Normalization and decoding promote cached plan reuse. Let’s now continue following the compilation process to see how SQL Server decides if simple parameterization is safe or unsafe. The CBO has significant start-up and runtime costs and may consume significant server resources. Generating a Trivial Plan.
In this blog, we’ll provide a comparison between MariaDB vs. MySQL (including Percona Server for MySQL ). Introduction: MariaDB vs. MySQL The goal of this blog post is to evaluate, at a higher level, MariaDB vs. MySQL vs. Percona Server for MySQL side-by-side to better inform the decision making process.
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