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.

Open Source 294

Open Source Traffic DevOps Cloud 294

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 218

Engineering Entertainment Cloud Infrastructure 218

Dynatrace

OCTOBER 2, 2023

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. However, the move to microservices comes with its own challenges and complexities.

Architecture 224

Architecture Artificial Intelligence Cloud Open Source 224

Dynatrace

OCTOBER 26, 2020

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. So stay tuned. If you want to replicate Christians work – here are the software and hardware specs: Hardware. There are many use cases for using this API.

Innovation 150

Innovation Metrics Hardware Games 150

Percona

DECEMBER 27, 2023

Oftentimes, it is a pillar of modern infrastructure strategy to avoid cloud vendor lock-in. Standardization and collaboration are key to sharing common knowledge and patterns across teams and infrastructures. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 79

Cloud Open Source Strategy Best Practices 79

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 92

Open Source Database Hardware Strategy 92

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

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

Adrian Cockcroft

JUNE 2, 2023

FSD has a sense of purpose, a planning capability, has real time agency and responds to its environment via an ego model, predicting the behavior of pedestrians and other road users, and is being tuned to drive in a very human way, so that other road users interact with it as a predicable normal driver. Tristan Zajonc, CEO of Continual.ai

Social Media 98

Social Media Innovation Open Source Entertainment 98

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. Benefits of a Serverless Model. Scalability.

Serverless 57

Serverless Monitoring Lambda Latency 57

Dynatrace

NOVEMBER 20, 2019

The IBM Z platform is a range of mainframe hardware solutions that are quite frequently used in large computing shops. Typically, these shops run the z/OS operating system, but more recently, it’s not uncommon to see the Z hardware running special versions of Linux distributions. Stay tuned for more announcements on this topic.

Availability 30

Availability Hardware Java Tuning 30

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

AUGUST 8, 2019

The IBM Z platform is a range of mainframe hardware solutions that are quite frequently used in large computing shops. Typically, these shops run the z/OS operating system, but more recently, it’s not uncommon to see the Z hardware running special versions of Linux distributions. Stay tuned for more announcements on this topic.

Availability 25

Availability Hardware Java Tuning 25

O'Reilly Software

APRIL 4, 2018

The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. Mesos achieves that unification by aggregating the infrastructure resources, and then offering resources slices, like x CPUs, y MB RAM, and z GB disk, to applications. At least once? At most once? Exactly once?

Architecture 80

Architecture Scalability Google Operating System 80

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. Prepare the testing environment: Make sure your hardware and network configurations closely reflect real world conditions. What is Performance Testing?

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Percona

AUGUST 29, 2023

Depending on the configuration, one can tune a hardware RAID for either performance or redundancy. Now let’s stretch our imagination and consider a second method of high availability, ala Citus. The best way to describe the Citus way of doing things is to reflect how data is managed by a disk RAID array.

C++ 79

C++ Database Storage Testing 79

Dynatrace

OCTOBER 24, 2019

A private Synthetic location is a location in your private network infrastructure where you install a Synthetic-enabled ActiveGate. This centralized approach reduces your hardware imprint as well as configuration effort, making your work easier and more cost-effective. More information is available in Dynatrace Help. What’s next?

Hardware 20

Hardware Monitoring Tuning Network 20

Dotcom-Montior

OCTOBER 12, 2017

Verify hardware sizing. Make application tuning much easier. No internal infrastructure for performance engineering activities required. They simulate actual and future growth pattern on pre-production stages, identify and fix hotspots and deploy those tuned application into production. Reduce re-run effort.

AWS 40

AWS Tuning Monitoring Servers 40

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

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 108

Open Source Artificial Intelligence Google Infrastructure 108

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

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

SEPTEMBER 19, 2023

Plus there was all of the infrastructure to push data into the cluster in the first place. Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. Google goes a step further in offering compute instances with its specialized TPU hardware. Not that you’ll even need GPU access all that often.

Hardware 99

Hardware Storage Big Data Blockchain 99

All Things Distributed

OCTOBER 8, 2014

We built DynamoDB as a fully-managed service because we wanted to enable our customers, both internal and external, to focus on their application rather than being distracted by undifferentiated heavy lifting like dealing with hardware and software maintenance.

Availability 145

Availability Performance Scalability AWS 145

High Scalability

NOVEMBER 25, 2019

Infrastructure Optimization. What Infrastructure Do You Use? Eventually, we resorted to caching the events in memory for a short duration and also tuning the GC settings on those nodes as we are doing a lot of young generation collections. How are software and hardware upgrades rolled out? Video Transcoding. Permissions.

Architecture 52

Architecture Cache Azure Storage 52