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A look behind the scenes of AWS Lambda and our new Lambda monitoring extension

Dynatrace

At AWS re:Invent in 2018, the Lambda team presented an excellent talk. What the Lambda team introduced in 2018, for example, the new Firecracker VM, has since been fully rolled out. The virtual CPU is turned off. When using a platform, it always helps to have a rough idea of its inner workings. Why metrics alone aren’t enough.

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Percona Database Performance Blog 2018 Year in Review: Top Blog Posts

Percona

Let’s look at some of the most popular Percona Database Performance Blog posts in 2018. We’ve had nearly 4 million visits to the blog in 2018: thank you! As 2018 moves into 2019, let’s take a quick look back at some of the most popular posts on the blog this year. And making lists. Top 10 Most Read.

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How to improve Redo, Transaction Log and WAL throughput for HammerDB benchmarks

HammerDB

This post at an entry-level discusses the options you have to improve log throughput in your benchmark environment. . The first example shows a data load, the second a TPC-C based workload with 5 virtual users and the 2nd example with 10 virtual users. SQL> alter system flush buffer_cache; System altered.

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HammerDB MySQL and MariaDB Best Practice for Performance and Scalability

HammerDB

As with the previous guides as an Intel employee (#IAMINTEL) the examples are taken from a MySQL 8 on Linux on Intel system and the approach is the same for whatever system you are testing although some of the settings you see may be different. Similarly for this guide MySQL can be swapped for a mySQL based databases such as MariaDB.

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Is MongoDB Open Source? Is Planet Earth Flat?

Percona

Instead of relational (SQL) databases defined primarily through a hierarchy of related sets via tables and columns, their non-relational structure used a system of collections and documents. Though still not “profitable” by many benchmarks, it’s a lot closer to being so, perhaps in a big way.)

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Have You Tested Your App Performance & Capacity Recently?

Apica

million Netflix users as of Q3 2018. The Apica LoadTest solution uses innovative technologies like monitoring nodes and load clusters to reliably deliver and sustain a large-scale load of virtual users (VUs) to Hollywood for different, realistic user scenarios all at the same time.

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Kubernetes for Big Data Workloads

Abhishek Tiwari

In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Containerized data workloads running on Kubernetes offer several advantages over traditional virtual machine/bare metal based data workloads including but not limited to. Kubernetes has a massive community support and momentum behind it.