Remove Latency Remove Systems Remove Tuning Remove Virtualization
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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines.

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PostgreSQL Connection Pooling: Part 1 – Pros & Cons

Scalegrid

On modern Linux systems, the difference in overhead between forking a process and creating a thread is much lesser than it used to be. These sit between the database and the clients, sometimes on a seperate server (physical or virtual) and sometimes on the same box, and create a pool that clients can connect to.

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The Most Important MySQL Setting

Percona

If we were to select the most important MySQL setting, if we were given a freshly installed MySQL or Percona Server for MySQL and could only tune a single MySQL variable, which one would it be? To be fair, that is also true with PostgreSQL; it hasn’t been tuned either, and it, too, can also perform much better.

Tuning 139
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How digital experience monitoring helps deliver business observability

Dynatrace

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). PC, smartphone, server) or virtual (virtual machines, cloud gateways). Endpoints can be physical (i.e.,

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The Speed of Time

Brendan Gregg

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. Note that Ubuntu also has a frame to show entry into vDSO (virtual dynamic shared object). Microbenchmark os::javaTimeMillis() on both systems.

Speed 126
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Get up to 300 new metrics out of the box with AWS supporting services (GA)

Dynatrace

Amazon Elastic File System (EFS). The example below visualizes average latency by API name and stage for a specific AWS API Gateway. Follow these steps to configure monitoring for supporting AWS services: From the navigation menu, select Settings > Cloud and virtualization > AWS. Stay tuned for updates in Q1 2020.

AWS 136
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Get up to 300 new metrics out of the box with AWS supporting services (GA)

Dynatrace

Amazon Elastic File System (EFS). The example below visualizes average latency by API name and stage for a specific AWS API Gateway. Follow these steps to configure monitoring for supporting AWS services: From the navigation menu, select Settings > Cloud and virtualization > AWS. Stay tuned for updates in Q1 2020.

AWS 133