Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. Kubernetes.

Open Source 307

Open Source Traffic DevOps Cloud 307

Dynatrace

OCTOBER 28, 2021

The many disaster scenarios and outcomes allow chaos engineers to better model what happens to applications and microservices, which gives them increasing intelligence to share with developers to perfect software and cloud-native infrastructure. The history of chaos engineering. Netflix pioneered chaos engineering out of necessity.

Engineering 231

Engineering Entertainment Cloud Infrastructure 231

Dotcom-Montior

NOVEMBER 11, 2020

Serverless computing can be a huge benefit to organizations that don’t have the necessary resources or teams to manage physical resources, like servers/hardware, and all the maintenance and licensing that goes along with that, allowing them to focus on developing their code and applications. Monitoring. Benefits of a Serverless Model.

Serverless 57

Serverless Monitoring Lambda Latency 57

Dynatrace

OCTOBER 26, 2020

Now you have your JMeter metrics in Dynatrace alongside your full stack monitoring metrics captured by OneAgent: JMeter data is streamed to Dynatrace via the Metrics Ingest API. This integration ensures that performance data from testing tools such as JMeter is in the same place as all other relevant performance and infrastructure data.

Innovation 157

Innovation Metrics Hardware Games 157

Percona

OCTOBER 18, 2023

Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you. Evaluating your hardware requirements is another vital aspect of resource allocation. Look closely at your current infrastructure (hardware, storage, networks, etc.)

Open Source 89

Open Source Database Hardware Strategy 89

The Netflix TechBlog

APRIL 29, 2019

An easy, though imprecise, way of thinking about Netflix infrastructure is that everything that happens before you press Play on your remote control (e.g., Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. are you logged in?

Open Source 279

Open Source Network Infrastructure Big Data 279

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. of users) report that “infrastructure issues” are an issue. We’ll say more about this later.) Which Model?

Open Source 106

Open Source Artificial Intelligence Google Infrastructure 106

The Netflix TechBlog

AUGUST 30, 2021

The Partner Infrastructure team at Netflix provides solutions to support these two significant efforts by enabling device management at scale. Complementing the hardware is the software on the RAE and in the cloud, and bridging the software on both ends is a bi-directional control plane.

Latency 213

Latency Traffic Transportation Hardware 213

Percona

APRIL 17, 2023

The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place. systemctl stop tuned $ systemctl disable tuned Dirty ratio The dirty_ratio is the percentage of total system memory that can hold dirty pages.

Best Practices 52

Best Practices Design Tuning Database 52

Dynatrace

NOVEMBER 20, 2019

Having released this functionality in an Early Adopter Release with OneAgent version 1.173 and Dynatrace version 1.174 back in August 2019, we’re now happy to announce the General Availability of OneAgent full-stack monitoring for Linux on the IBM Z platform, sometimes informally referred to as Z/Linux. What’s included.

Availability 32

Availability Hardware Java Tuning 32

The Morning Paper

JUNE 13, 2019

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. Different hardware architectures (CPUs, GPUs, TPUs, FPGAs, ASICs, …) offer different performance and cost trade-offs.

Hardware 58

Hardware Latency Serverless Energy 58

Dynatrace

AUGUST 8, 2019

We’re happy to announce the Early Adopter Release of OneAgent full-stack monitoring for Linux on the IBM Z platform, sometimes informally referred to as Z/Linux (available with OneAgent version 1.173 and Dynatrace version 1.174). Mainframe monitoring is an area of significant investment for Dynatrace. What’s included.

Availability 25

Availability Hardware Java Tuning 25

Dotcom-Montior

OCTOBER 12, 2017

Integration Showcase: Dynatrace & Dotcom-Monitor’s LoadView. Dotcom-Monitor’s LoadView and Dynatrace are performance-engineering platforms by heart. Trial account for dotcom-monitor LoadView SaaS. Dynatrace is a SaaS based monitoring solution and supports a broad range of technologies. Installation.

AWS 40

AWS Tuning Monitoring Servers 40

Dynatrace

OCTOBER 24, 2019

With Dynatrace Synthetic Monitoring, you can easily do this by setting up private locations for your environments. A private Synthetic location is a location in your private network infrastructure where you install a Synthetic-enabled ActiveGate. As synthetic monitors are run from Cluster ActiveGates, installation is centralized.

Hardware 21

Hardware Monitoring Tuning Network 21

KeyCDN

AUGUST 15, 2019

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. Unlike spike tests, scalability tests involve gradually increasing workload while monitoring the effects on performance. What is Performance Testing?

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Abhishek Tiwari

JULY 12, 2018

A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable. If tuned for performance, there is a good change reliability is compromised - and vice versa. A data pipeline can process data in a different order than they were received.

Latency 63

Latency Analytics Scalability Engineering 63

SQL Performance

MARCH 8, 2021

This can make it difficult to draw sound performance-tuning conclusions. This uses hardware, typically a crystal oscillator, that produces ticks at a very high constant rate regardless of processor speed, power settings, or anything of that nature. SQL Server uses the high-precision QueryPerformanceCounter API to capture timing data.

Servers 95

Servers Tuning Architecture Processing 95

High Scalability

NOVEMBER 25, 2019

Infrastructure Optimization. When it goes to production you would monitor it using the various internal tools like New Relic/Grafana, Kibana and if there is a regression you would fix it. We do a production deploy every Wednesday and monitor new relic, exception reports daily for any anomalies. What Infrastructure Do You Use?

Architecture 52

Architecture Cache Azure Storage 52