2024

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The State of Observability 2024: Navigating Complexity With AI-Driven Insights

DZone

In today's fast-paced digital landscape, organizations are increasingly embracing multi-cloud environments and cloud-native architectures to drive innovation and deliver seamless customer experiences. However, the 2024 State of Observability report from Dynatrace reveals that the explosion of data generated by these complex ecosystems is pushing traditional monitoring and analytics approaches to their limits.

Analytics 325
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Enhance data collection with Dynatrace OpenTelemetry Collector distribution

Dynatrace

As organizations strive for observability and data democratization, OpenTelemetry emerges as a key technology to create and transfer observability data. OpenTelemetry is gaining popularity because it’s considered a standard, and that’s why it’s a common choice for creating future-proof solutions for years to come. To answer the growing demand for OpenTelemetry, Dynatrace is proud to announce the release of the Dynatrace OpenTelemetry Collector distribution (Dynatrace OTel Collector).

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Introducing SafeTest: A Novel Approach to Front End Testing

The Netflix TechBlog

by Moshe Kolodny In this post, we’re excited to introduce SafeTest, a revolutionary library that offers a fresh perspective on End-To-End (E2E) tests for web-based User Interface (UI) applications. The Challenges of Traditional UI Testing Traditionally, UI tests have been conducted through either unit testing or integration testing (also referred to as End-To-End (E2E) testing).

Testing 244
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District heating: Using data centers to heat communities

All Things Distributed

An inside look at the Tallaght District Heating Scheme, where Heat Works is using recycled heat from an AWS data center to warm a community in Dublin, Ireland.

AWS 147
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Linux Crisis Tools

Brendan Gregg

When you have an outage caused by a performance issue, you don't want to lose precious time just to install the tools needed to diagnose it. Here is a list of "crisis tools" I recommend installing on your Linux servers by default (if they aren't already), along with the (Ubuntu) package names that they come from: Package Provides Notes procps ps(1), vmstat(8), uptime(1), top(1) basic stats util-linux dmesg(1), lsblk(1), lscpu(1) system log, device info sysstat iostat(1), mpstat

Servers 145
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QCon London: Meta Used Monolithic Architecture to Ship Threads in Only Five Months

InfoQ

Zahan Malkani talked during QCon London 2024 about Meta’s journey from identifying the opportunity in the market to shipping the Threads application only five months later. The company leveraged Instagram's existing monolithic architecture and quickly iterated to create a new text-first microblogging service in record time.

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Five ways cookie consent managers hurt web performance (and how to fix them)

Speed Curve

I've been spending a lot of time looking at the performance of European sites lately, and have found that the consent management platforms (CMPs) are consistently creating a bit of a false reality for folks when trying to understand performance using synthetic monitoring. Admittedly, this is not a new topic, but I feel that it's important enough that it warrants another PSA.

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ChatGPT, Author of The Quixote

O'Reilly

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Specific prompts seem to “unlock” training data. We have many current and future copyright challenges: training may not infringe copyright, but legal doesn’t mean legitimate—we consider the analogy of MegaFace where surveillance models have been trained on photos of minors, for example, without informed consent.

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How To Monitor And Optimize Google Core Web Vitals

Smashing Magazine

How To Monitor And Optimize Google Core Web Vitals How To Monitor And Optimize Google Core Web Vitals Matt Zeunert 2024-04-16T10:00:00+00:00 2024-04-16T12:05:36+00:00 This article is sponsored by DebugBear Google’s Core Web Vitals initiative has increased the attention website owners need to pay to user experience. You can now more easily see when users have poor experiences on your website, and poor UX also has a bigger impact on SEO.

Google 86
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Beyond Problem and Solution Space: Better models for modern product development

Strategic Tech

I often encounter the phrases problem space and solution space. People use these words to try and articulate the types of work and activities they are referring to, or where they are in the process of building something new. Unfortunately, rather than aiding communication, I notice that these words are so highly ambiguous that more time is spent debating what they mean than is gained by using them to improve communication and collaboration.

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Getting Started With NCache Java Edition (Using Docker)

DZone

NCache Java Edition with distributed cache technique is a powerful tool that helps Java applications run faster, handle more users, and be more reliable. In today's world, where people expect apps to work quickly and without any problems, knowing how to use NCache Java Edition is very important. It's a key piece of technology for both developers and businesses who want to make sure their apps can give users fast access to data and a smooth experience.

Java 310
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Unlock seamless access: The power of flexible identity federation

Dynatrace

With the introduction of Flexible Identity Federation, Dynatrace gives its enterprise customers additional options that offer enhanced granularity to match their more complex scenarios. Scaling with Flexible Identity Federation Identity federation plays a critical role in modern IT infrastructure, serving as a foundational component that enables seamless, secure access to various systems and applications across different domains and platforms.

Strategy 251
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Bending pause times to your will with Generational ZGC

The Netflix TechBlog

The surprising and not so surprising benefits of generations in the Z Garbage Collector. By Danny Thomas, JVM Ecosystem Team The latest long term support release of the JDK delivers generational support for the Z Garbage Collector. More than half of our critical streaming video services are now running on JDK 21 with Generational ZGC, so it’s a good time to talk about our experience and the benefits we’ve seen.

Latency 228
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What I've been reading since re:Invent

All Things Distributed

After a busy conference season, I've taken some time to catch up on reading and make a dent in the pile of books on my nightstand. Here's what I've started, finished, and picked up since re:Invent.

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The Return of the Frame Pointers

Brendan Gregg

Sometimes debuggers and profilers are obivously broken, sometimes it's subtle and hard to spot. From my flame graphs page: CPU flame graph (partly broken) (Click for original SVG.) This is pretty common and usually goes unnoticed as the flame graph looks ok at first glance. But there are 15% of samples on the left, above "[unknown]", that are in the wrong place and missing frames.

Java 145
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Uber Builds Scalable Chat Using Microservices with GraphQL Subscriptions and Kafka

InfoQ

Uber replaced a legacy architecture built using the WAMP protocol with a new solution that takes advantage of GraphQL subscriptions. The main drivers for creating a new architecture were challenges around reliability, scalability, observability/debugibility, as well as technical debt impeding the team’s ability to maintain the existing solution.

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The psychology of site speed and human happiness

Speed Curve

In the fourteen years that I've been working in the web performance industry, I've done a LOT of research, writing, and speaking about the psychology of page speed – in other words, why we crave fast, seamless online experiences. In fact, the entire first chapter of my book, Time Is Money (reprinted here courtesy of the good folks at O'Reilly), is dedicated to the subject.

Speed 135
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Percona Stands Firmly on the Side of Open Source

Percona

Percona is proud to formally state our support for the Valkey project and its community. We will soon offer commercial support for the open source Redis alternative, Valkey.The world of open source is no stranger to controversy.

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What is System Testing? – Getting Started, Tips, and Tools

Testlodge

System testing involves analyzing the behavior and functionality of a fully integrated application. It is the third of the four levels of testing, performed after unit and integration testing but before user acceptance testing. A QA team member will usually do the assessing, or occasionally the task will fall to other team members such as product or project managers.

Systems 90
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Reporting Core Web Vitals With The Performance API

Smashing Magazine

Reporting Core Web Vitals With The Performance API Reporting Core Web Vitals With The Performance API Geoff Graham 2024-02-27T12:00:00+00:00 2024-02-27T19:35:10+00:00 This article is sponsored by DebugBear There’s quite a buzz in the performance community with the Interaction to Next Paint (INP) metric becoming an official Core Web Vitals (CWV) metric in a few short weeks.

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The Performance Inequality Gap, 2024

Alex Russell

It's time once again to update our priors regarding the global device and network situation. What's changed since last year? And how much more HTML, CSS, and (particularly) JavaScript can a new project afford? The Budget, 2024 JavaScript-Heavy Markup-Heavy Calculate Your Own Situation Report Mobile Desktop Takeaways The Great Branch Mispredict The Budget, 2024 # In a departure from previous years, we'll evaluate two sets of baseline numbers for first-load under five seconds on 75 th ( P75 ) perc

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Achieving Kubernetes Monitoring Nirvana: Prometheus and Grafana Unleashed

DZone

In the ever-evolving landscape of container orchestration, Kubernetes has emerged as a frontrunner, offering unparalleled flexibility and scalability. However, with great power comes great responsibility — the responsibility to monitor and understand your Kubernetes clusters effectively. This is where Prometheus and Grafana step in, forming a dynamic duo that provides comprehensive insights into Kubernetes clusters.

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Mastering Kubernetes deployments with Keptn: a comprehensive guide to enhanced visibility

Dynatrace

Deploying software in Kubernetes is often viewed as a straightforward process—just use kubectl or a GitOps solution like ArgoCD to deploy a YAML file, and you’re all set, right? Unfortunately, Kubernetes deployments can be fraught with challenges beyond the surface level. Numerous hurdles can hinder successful deployments, from resource constraints to external dependencies and monitoring inadequacies.

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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

David J. Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding. The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data sc

Systems 226
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Interaction to Next Paint (INP) Explained

Gtmetrix

We explain what Interaction to Next Paint (INP) is, how it impacts performance, and why GTmetrix doesn’t track it (yet). Overview Interaction to Next Paint (INP) is Google’s new “responsiveness” field metric that was first announced as an experimental metric in 2022.

Metrics 81
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eBPF Documentary

Brendan Gregg

eBPF is a crazy technology – like putting JavaScript into the Linux kernel – and getting it accepted had so far been an untold story of strategy and ingenuity. The eBPF documentary, published late last year, tells this story by interviewing key players from 2014 including myself, and touches on new developments including Windows. (If you are new to eBPF, it is the name of a kernel execution engine that runs a variety of new programs in a performant and safe sandbox in the kernel, lik

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QCon London: Lessons Learned From Building LinkedIn’s AI/ML Data Platform

InfoQ

At the QCon London 2024 conference, Félix GV from LinkedIn discussed the AI/ML platform powering the company’s products. He specifically delved into Venice DB, the NoSQL data store used for feature persistence. The presenter shared the lessons learned from evolving and operating the platform, including cluster management and library versioning.

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Building the future of performance with SpeedCurve

Speed Curve

I’m beyond excited to announce that I’m joining the SpeedCurve team this year! I’ll still be doing some consulting work, but I’ll be taking on a few less clients this year so I can focus on helping to make an already amazing performance tool even better, working alongside some of my favorite people in the performance community.

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JSON_TABLE() Will Be in PostgreSQL 17

Percona

JSON_TABLE() will be in PostgreSQL 17! It almost made it two years ago but was yanked away at the last minute. We will get it shortly when PostgreSQL 17 is officially released this year! Please see this.Why is this important?JSON has become the data interchange format of choice for most developers.

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Setting Up Your Environment for Kubernetes Operators Using Docker, kubectl, and k3d

Percona Community

If you are just starting out in the world of Kubernetes operators, like me, preparing the environment for their installation should be something we do with not much difficulty. This blog will quickly guide you in setting the minimal environment. Kubernetes operators are invaluable for automating complex database operations, tasks that Kubernetes does not handle directly.

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Quality Assurance, Errors, and AI

O'Reilly

A recent article in Fast Company makes the claim “ Thanks to AI, the Coder is no longer King. All Hail the QA Engineer.” It’s worth reading, and its argument is probably correct. Generative AI will be used to create more and more software; AI makes mistakes and it’s difficult to foresee a future in which it doesn’t; therefore, if we want software that works, Quality Assurance teams will rise in importance.

Games 73
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C++ safety, in context

Sutter's Mill

Scope. To talk about C++’s current safety problems and solutions well, I need to include the context of the broad landscape of security and safety threats facing all software. I chair the ISO C++ standards committee and I work for Microsoft, but these are my personal opinions and I hope they will invite more dialog across programming language and security communities.

C++ 139
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Using Raspberry PI in Virtualization: Unlocking New Possibilities

DZone

Through the use of virtualization technology, multiple operating systems can now run on a single physical machine, revolutionizing the way we use computer hardware. The Raspberry Pi is one example of a small, low-cost device that is embracing this idea, even though it has traditionally been associated with powerful servers and expensive computers. The exciting world of using a Raspberry Pi for virtualization will be explored in this article, along with the new opportunities it creates for busine

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Google Cloud Next 2024: AI innovation for Google Cloud

Dynatrace

In today’s rapidly evolving landscape, incorporating AI innovation into business strategies is vital, enabling organizations to optimize operations, enhance decision-making processes, and stay competitive. The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud. This year, Google’s event will take place from April 9 to 11 in Las Vegas.

Google 262
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Evolving from Rule-based Classifier: Machine Learning Powered Auto Remediation in Netflix Data…

The Netflix TechBlog

Evolving from Rule-based Classifier: Machine Learning Powered Auto Remediation in Netflix Data Platform by Binbing Hou , Stephanie Vezich Tamayo , Xiao Chen , Liang Tian , Troy Ristow , Haoyuan Wang , Snehal Chennuru , Pawan Dixit This is the first of the series of our work at Netflix on leveraging data insights and Machine Learning (ML) to improve the operational automation around the performance and cost efficiency of big data jobs.

Tuning 210
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Field vs Lab (Synthetic) Data – How Do They Compare?

Gtmetrix

We explain the key differences between field and lab data and how you should interpret them. Overview Web performance metrics can be broadly classified into two distinct groups – field data and lab (synthetic data). Each dataset has a different source (i.e., where the data comes from), and is gathered using different methodologies.

Metrics 75
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Home Screen Advantage

Alex Russell

After weeks of confusion and intentional chaos, Apple's plan to kneecap the web has crept into view, menacing a PWApocalypse as the March 6th compliance deadline approaches for the EU's Digital Markets Act (DMA). The view from Cupertino. The DMA requires Apple to open the iPhone to competing app stores, and and its lopsided proposal for "enabling" them is getting most of the press.

Storage 100