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. In the context of web development, performance testing entails using software tools to simulate how an application runs under specific circumstances.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Dynatrace

SEPTEMBER 29, 2021

Just like shipping containers revolutionized the transportation industry, Docker containers disrupted software. This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. The time and effort saved with testing and deployment are a game-changer for DevOps.

Open Source 301

Open Source Traffic DevOps Cloud 301

KeyCDN

SEPTEMBER 20, 2018

Not all back-end errors affect the user experience, but keeping track of them can prove helpful when tuning your app. The Google DevTools console can give you real-time feedback to help you trace the source of errors, and you can set handlers to automate exception data collection.

Strategy 67

Strategy Monitoring Website Google 67

Abhishek Tiwari

JULY 12, 2018

Data Pipeline A data pipeline is a software that ingests data from multiple sources, transforms it and finally makes it available to internal or external products. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable.

Latency 63

Latency Analytics Scalability Engineering 63

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. Many organizations also find it useful to use an open source observability tool, such as OpenTelemetry.

Architecture 231

Architecture Artificial Intelligence Cloud Open Source 231

O'Reilly

NOVEMBER 28, 2023

16% of respondents working with AI are using open source models. 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. We’ll say more about this later.)

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

The Netflix TechBlog

APRIL 29, 2019

We use and contribute to many open-source Python packages, some of which are mentioned below. Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. If any of this interests you, check out the jobs site or find us at PyCon.

Open Source 279

Open Source Network Infrastructure Big Data 279

Dynatrace

OCTOBER 26, 2020

For some of these tests, he’s using the open source tool Apache JMeter. A day later he came back to me as he just built, and since then also open sourced, the Dynatrace Backend Listener for JMeter ! So stay tuned. If you want to replicate Christians work – here are the software and hardware specs: Hardware.

Innovation 153

Innovation Metrics Hardware Games 153

All Things Distributed

MARCH 19, 2018

By formalizing this concept and facilitating it with software abstractions, we provide checkpointing capabilities and fault resiliency for all algorithms. To seamlessly switch between CPU and GPU machines, we use Apache MXNet to interface with the underlying hardware. Post-training model tuning and rich states.

Scalability 159

Scalability Hardware AWS Tuning 159

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

HammerDB

OCTOBER 18, 2019

As noted previously the main developer of HammerDB is an Intel employee (#IAMINTEL) however HammerDB is a personal open source project and any opinions are my own, specific to the context of HammerDB as an independent personal project and not representing Intel. hardware limits: 1000 MHz - 4.00 hardware limits: 1000 MHz - 4.00

Benchmarking 63

Benchmarking Performance Hardware C++ 63

HammerDB

JANUARY 5, 2019

Note that the main developer of HammerDB is Intel employee (#IAMINTEL) however HammerDB is a personal open source project and any opinions are specific to the context of HammerDB as an independent personal project and are not related to Intel in any way. Repeatability. can you be sure that it scales?

Benchmarking 40

Benchmarking Database Social Media Scalability 40

HammerDB

FEBRUARY 25, 2021

This post explains why HammerDB made the language decisions it made to make it the best performing and most usable database benchmarking software. The benchmarking software simulates the actions of multiple individual users and these users must run in parallel to test the MVCC (Multiversion Concurrency Control) capabilities of the database.

Programming 67

Programming Benchmarking Virtualization C++ 67

Scalegrid

JULY 13, 2020

The unstoppable rise of open source databases. One database in particular is causing a huge dent in Oracle’s market share – open source PostgreSQL. See how open source PostgreSQL Community version costs compare to Oracle Standard Edition and Oracle Enterprise Edition. What’s causing this massive shift?

Open Source 244

Open Source Tuning C++ Database 244

Percona

AUGUST 30, 2018

Because recognizing if the workload is read intensive or write intensive will impact your hardware choices, database configuration as well as what techniques you can apply for performance optimization and scalability. In other words, whether the workload is dominated by reads or writes. Why should you care?

Benchmarking 48

Benchmarking Database Operating System Architecture 48

Smashing Magazine

AUGUST 22, 2021

However, TCP is typically implemented in the operating system’s (OS’) kernel, a secure and more restricted environment, which for most OSes isn’t even open source. As such, tuning congestion logic is usually only done by a select few developers, and evolution is slow. This makes QUIC already a bit slower than TCP.

Performance 106

Performance Network Latency Servers 106