2025

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Catching up with OpenTelemetry in 2025

Dynatrace

To understand whats happening in todays complex software ecosystems, you need comprehensive telemetry data to make it all observable. In fact, observability is essential for shaping how we design smarter, more resilient systems for the future. With so many types of technologies in software stacks around the globe, OpenTelemetry has emerged as the de facto standard for gathering telemetry data.

Tuning 310
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A Guide to Microservices Deployment: Elastic Beanstalk vs Manual Setup

DZone

There are many ways to deploy your microservices, each offering different levels of control, simplicity, and scalability. One approach is using Elastic Beanstalk , a fully managed service that simplifies deployment, scaling, and management. Another option is to deploy manually, giving you full control over the infrastructure but requiring more setup and maintenance.

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HDR10+ Now Streaming on Netflix

The Netflix TechBlog

Roger Quero , Liwei Guo , Jeff Watts , Joseph McCormick , Agata Opalach , AnushMoorthy We are excited to announce that we are now streaming HDR10+ content on our service for AV1-enabled devices, enhancing the viewing experience for certified HDR10+ devices, which previously only received HDR10 content. The dynamic metadata included in our HDR10+ content improves the quality and accuracy of the picture when viewed on thesedevices.

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Best MySQL GUI Tools [2025]

Scalegrid

Managing MySQL through the command line is powerfulbut not always the most user-friendly experience, especially when working with large datasets, building queries, or handling administrative tasks. Thats where MySQL GUIs come in. A graphical user interface (GUI) helps simplify how you interact with your MySQL databases. Whether youre a developer, database administrator, or data analyst, a good GUI can make everyday tasks faster, clearer, and less error-prone.

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AI and Programming: The Beginning of a New Era

O'Reilly

Thanks so much for joining us today. We have over 20,000 people signed up for this event, both subscribers on the oreilly.com platform and those who arent yet subscribers. I think youre here because you all sense what I do: we’re witnessing not the end of programming, but its remarkable expansion. This is the most exciting moment in software development that I’ve seen during my more than 40 years in this industry.

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MySQL 8.4.3 and 9.1.0: Major Performance Gains Revealed

Percona

At Percona, we’ve always prioritized performance, and recent trends in MySQL’s development have been a point of concern for us. In particular, the performance deterioration in the MySQL 8.4.x and 9.y versions caught our attention, as highlighted in Marco Tusas insightful blog post, Sakila, Where Are You Going?

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MySQL 8.4 Support in Percona Toolkit 3.7.0

Percona Community

Percona Toolkit 3.7.0 has been released on Dec 23, 2024. The main feature of this release is MySQL 8.4 support. In this blog, I will explain what has been changed. A full list of improvements and bug fixes can be found in the release notes. TLDR; Replication statements in 8.4 are fully supported by the Percona Toolkit pt-slave-delay has been deprecated. pt-slave-find has been renamed to pt-replica-find.

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Doom GPU Flame Graphs

Brendan Gregg

AI Flame Graphs are now open source and include Intel Battlemage GPU support, which means it can also generate full-stack GPU flame graphs for providing new insights into gaming performance, especially when coupled with FlameScope (an older open source project of mine). Here's an example of GZDoom, and I'll start with flame scopes for both CPU and GPU utilization, with details annotated: (Here are the raw CPU and GPU versions.

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How To Design For High-Traffic Events And Prevent Your Website From Crashing

Smashing Magazine

How To Design For High-Traffic Events And Prevent Your Website From Crashing How To Design For High-Traffic Events And Prevent Your Website From Crashing Saad Khan 2025-01-07T14:00:00+00:00 2025-01-07T22:04:48+00:00 This article is sponsored by Cloudways Product launches and sales typically attract large volumes of traffic. Too many concurrent server requests can lead to website crashes if youre not equipped to deal with them.

Traffic 86
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Distance-Based ISA for Efficient Register Management

ACM Sigarch

CPU cores have become significantly wider over the past decade. Ten years ago, the highest-performance CPUs could decode only up to four instructions simultaneously and execute up to eight instructions. However, top-tier CPUs released in recent years have grown to nearly twice this width. For example, Apple’s M4 processor , released in 2024, can decode 10 instructions simultaneously and execute up to 19 instructions.

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Cut costs and complexity: 5 strategies for reducing tool sprawl with Dynatrace

Dynatrace

Almost daily, teams have requests for new toolsfor database management, CI/CD, security, and collaborationto address specific needs. Increasingly, those tools involve AI capabilities to potentially boost productivity and automate routine tasks. But proliferating tools across different teams for different uses can also balloon costs, introduce operational inefficiency, increase complexity, and actually break collaboration.

Strategy 296
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Optimizing SQL Server Performance With AI: Automating Query Optimization and Predictive Maintenance

DZone

SQL Server is a powerful relational database management system (RDBMS), but as datasets grow in size and complexity, optimizing their performance becomes critical. Leveraging AI can revolutionize query optimization and predictive maintenance, ensuring the database remains efficient, secure, and responsive. In this article, we will explore how AI can assist in these areas, providing code examples to tackle complex queries.

Servers 278
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Foundation Model for Personalized Recommendation

The Netflix TechBlog

By Ko-Jen Hsiao , Yesu Feng and Sudarshan Lamkhede Motivation Netflixs personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including Continue Watching and Todays Top Picks for You. (Refer to our recent overview for more details). However, as we expanded our set of personalization algorithms to meet increasing business needs, maintenance of the recommender system became quite costly.

Tuning 214
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Choosing between RabbitMQ and Kafka depends on your specific messaging needs. RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. Both serve distinct purposes, from managing message queues to ingesting large data volumes. This article outlines the key differences in architecture, performance, and use cases to help determine the best fit for your workload.

Latency 147
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Copyright-Aware AI: Let’s Make It So

O'Reilly

On April 22, 2022, I received an out-of-the-blue text from Sam Altman inquiring about the possibility of training GPT-4 on OReilly books. We had a call a few days later to discuss the possibility. As I recall our conversation, I told Sam I was intrigued, but with reservations. I explained to him that we could only license our data if they had some mechanism for tracking usage and compensating authors.

Internet 135
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Your Data’s Not Safe Until It’s TDE-Safe — Here’s How

Percona

If youre managing a PostgreSQL database and handling sensitive data or PII, the answer is simple: You need data-at-rest encryption. This isnt just a “nice-to-have” featureits often a legal or regulatory requirement. Compliance auditors, security officers, and privacy-conscious customers all expect it. But is this enough? We think NO!

Database 128
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Percona Monitoring and Management 3.0.0 (GA)

Percona Community

We’re excited to announce the release of Percona Monitoring and Management (PMM) 3.0.0 GA. The Percona Monitoring and Management (PMM) 3.0.0 release delivers major security and stability enhancements. Notable security improvements include rootless deployments and encryption of sensitive data, along with improved API authentication using Grafana service accounts.

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Performance Hero: Annie Sullivan

Speed Curve

Let's kick off the new year by celebrating someone who has not just had a huge impact on web performance over the past few years, but who has even more exciting stuff in the works for the future: Annie Sullivan! Annie leads the Chrome Speed Metrics team at Google, which has arguably had the most significant impact on web performance of the past decade.

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Fixrleak: Fixing Java Resource Leaks with GenAI

Uber Engineering

Goodbye resource leaks! Learn how the FixrLeak framework leverages GenAI and AST-level analysis to automatically detect and fix resource leaks in large-scale Java applications at Uber.

Java 73
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Tight Mode: Why Browsers Produce Different Performance Results

Smashing Magazine

Tight Mode: Why Browsers Produce Different Performance Results Tight Mode: Why Browsers Produce Different Performance Results Geoff Graham 2025-01-09T13:00:00+00:00 2025-01-09T14:35:05+00:00 This article is sponsored by DebugBear I was chatting with Debug B ear s Matt Zeunert and, in the process, he casually mentioned this thing called Tight Mode when describing how browsers fetch and prioritize resources.

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Presentation: Renovate to Innovate: Fundamentals of Transforming Legacy Architecture

InfoQ

Rashmi Venugopal explains the core principles of renovating legacy software architecture. This talk addresses why legacy systems arise, their symptoms (complexity, degraded experience), and offers actionable strategies for modernization. Discover how to adopt an evolutionary approach, implement incremental changes, prioritize deprecation, and design your organization for successful renovation.

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Enrich Tenable vulnerability findings with Dynatrace runtime context

Dynatrace

Dynatrace integrates with Tenable to provide a single pane of glass for security findings across various environments and products, allowing unified analysis, prioritization, and orchestration of findings. With the enriched runtime context, you can focus on critical issues that impact your production apps and help reduce noise for the DevSecOps teams that remediate those issues.

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Optimizing Prometheus Queries With PromQL

DZone

Prometheus is a powerful monitoring tool that provides extensive metrics and insights into your infrastructure and applications, especially in k8s and OCP (enterprise k8s). While crafting PromQL (Prometheus Query Language) expressions, ensuring accuracy and compatibility is essential, especially when comparing metrics or calculating thresholds. In this article, we will explore how to count worker nodes and track changes in resources effectively using PromQL.

Metrics 258
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Title Launch Observability at Netflix Scale

The Netflix TechBlog

Part 2: Navigating Ambiguity By: VarunKhaitan With special thanks to my stunning colleagues: Mallika Rao , Esmir Mesic , HugoMarques Building on the foundation laid in Part 1 , where we explored the what behind the challenges of title launch observability at Netflix, this post shifts focus to the how. How do we ensure every title launches seamlessly and remains discoverable by the right audience?

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Best Practices for Scaling RabbitMQ

Scalegrid

Scaling RabbitMQ ensures your system can handle growing traffic and maintain high performance. This guide will cover how to distribute workloads across multiple nodes, set up efficient clustering, and implement robust load-balancing techniques. Youll also learn strategies for maintaining data safety and managing node failures so your RabbitMQ setup is always up to the task.

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Beyond “Prompt and Pray”

O'Reilly

TL;DR: Enterprise AI teams are discovering that purely agentic approaches (dynamically chaining LLM calls) dont deliver the reliability needed for production systems. The prompt-and-pray modelwhere business logic lives entirely in promptscreates systems that are unreliable, inefficient, and impossible to maintain at scale. A shift toward structured automation, which separates conversational ability from business logic execution, is needed for enterprise-grade reliability.

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Attaching a Percona Monitoring and Management Graph Image Along with an Alerting Notification

Percona

This article will be helpful if you use the Percona Monitoring and Management (PMM) instance and alert notifications, as it is nice to capture the image of the graph when you receive the alert.

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Single-core memory bandwidth: Latency, Bandwidth, and Concurrency

John McCalpin

The Multicore Era Over the past ~15 years, server processors from Intel and AMD have evolved from the early quad-core processors to the current monsters with over 50 cores per socket. The memory subsystems have grown at similar rates, from 3-4 DRAM channels at 1.333 GT/s transfer rates to 8-12 DRAM channels with 4.8 GT/s transfer rates, providing an aggregate peak memory bandwidth increase of 10x or more.

Latency 71
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Why Do We Have a Cache-Control Request Header?

CSS Wizardry

Learn how the Cache-Control request header works, how browsers handle refresh and hard refresh caching, and when developers should use it for realtime data and offline-first applications.

Cache 185
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Crate-training Tiamat, un-calling Cthulhu:Taming the UB monsters in C++

Sutter's Mill

For more background on safety and security issues related to C++, including definitions of language safety and software security and similar terms, see my March 2024 essay C++ safety, in context. This essay picks up our story where that one left off to bring us up to date with a specific focus on undefined behavior (aka UB). This is a status update on improvements currently in progress for hardening and securing our C++ software.

C++ 70
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Time To First Byte: Beyond Server Response Time

Smashing Magazine

Time To First Byte: Beyond Server Response Time Time To First Byte: Beyond Server Response Time Matt Zeunert 2025-02-12T17:00:00+00:00 2025-02-13T01:34:15+00:00 This article is sponsored by DebugBear Loading your website HTML quickly has a big impact on visitor experience. After all, no page content can be displayed until after the first chunk of the HTML has been loaded.

Servers 78
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AWS Promotes Responsible AI in the Well-Architected Generative AI Lens

InfoQ

AWS announced the availability of the new Well-Architected Generative AI Lens, focused on providing best practices for designing and operating generative AI workloads. The lens is aimed at organizations delivering robust and cost-effective generative AI solutions on AWS. The document offers cloud-agnostic best practices, implementation guidance and links to additional resources.

AWS 80
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Dynatrace + Metis: Helping developers & SREs solve Database issues with AI

Dynatrace

If you’re a developer who has ever had to troubleshoot a database issue, you know how frustrating it can be. One slow query, an inefficient index, or a schema misstep can grind an application to a halt. And with cloud-native databases like PostgreSQL and MySQL, the complexity only grows. Site Reliability Engineers (SREs) also face significant challenges in maintaining database reliability, ensuring performance, and preventing disruptions in highly dynamic and distributed environments.

Database 306
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Kubernetes in the Cloud: A Guide to Observability

DZone

As per the saying If you dont measure it, you cant manage it by Deming , observability and monitoring is our way to measure our services. Kubernetes is pretty revolutionary when it comes to the way it handles deployments and scales. But the way containers are continuously created and destroyed can sometimes present challenges with monitoring. This is where observability comes into play, offering critical insights into how your system is performing and why issues occur.

Cloud 246
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How Netflix Accurately Attributes eBPF Flow Logs

The Netflix TechBlog

By Cheng Xie , Bryan Shultz , and Christine Xu In a previous blog post , we described how Netflix uses eBPF to capture TCP flow logs at scale for enhanced network insights. In this post, we delve deeper into how Netflix solved a core problem: accurately attributing flow IP addresses to workload identities. A BriefRecap FlowExporter is a sidecar that runs alongside all Netflix workloads.

AWS 189
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Best Free and Paid MySQL Monitoring Tools [2025]

Scalegrid

Monitoring MySQL databases is essential for maintaining performance, detecting issues early, and ensuring efficient resource use by tracking critical metrics. With MySQL supporting various applications, its important to have the right tools in place to monitor database health and performance. Proper monitoring helps finding slow queries, resource limitations, and security issues before they affect operations.

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MCP: What It Is and Why It Matters—Part 1

O'Reilly

1. ELI5: Understanding MCP Imagine you have a single universal plug that fits all your devicesthat’s essentially what the Model Context Protocol (MCP) is for AI. MCP is an open standard (think USB-C for AI integrations ) that allows AI models to connect to many different apps and data sources in a consistent way. In simple terms, MCP lets an AI assistant talk to various software tools using a common language, instead of each tool requiring a different adapter or custom code.

Code 115