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The improved UI of the new Synthetic app makes managing your synthetic tests and analyzing their results easier and more effective. Exploratory analytics now cover more bespoke scenarios, allowing you to access any element of test results stored in the Dynatrace Grail data lakehouse. This allows you to build customized visualizations with Dashboards or perform in-depth analysis with Notebooks.
In the dynamic landscape of Java ecosystem enhancements, one could miss an important progress that has been made in Java Garbage Collection (GC) in recent years. Meanwhile, the latest generations of GC bring far-reaching consequences for running Java applications. This article intends to highlight the significant effects brought to us by ZGC and Shenandoah.
David J. Berg * , David Casler ^, Romain Cledat * , Qian Huang * , Rui Lin * , Nissan Pow * , Nurcan Sonmez * , Shashank Srikanth * , Chaoying Wang * , Regina Wang * , Darin Yu * *: Model Development Team, Machine Learning Platform ^: Content Demand ModelingTeam A month ago at QConSF, we showcased how Netflix utilizes Metaflow to power a diverse set of ML and AI use cases , managing thousands of unique Metaflow flows.
This blog post explains the cause of “ERROR 1412 (HY000): Table definition has changed, please retry transaction” with the specific Isolation level settings. Background As per the MySQL documentation, this error should occur for “operations that make a temporary copy of the original table and delete the original table when the temporary copy is built.
As cloud complexity increases and security concerns mount, organizations need log analytics to discover and investigate issues and gain critical business intelligence. But exploring the breadth of log analytics scenarios with most log vendors often results in unexpectedly high monthly log bills and aggressive year-over-year costs. To give organizations the freedom to explore log analytics without barriers due to cost concerns, Dynatrace is proud to announce a new Dynatrace Platform Subscription
In the world of IBM App Connect Enterprise (ACE), effective logging is crucial for monitoring and troubleshooting. With the introduction of the Log node, it's now easier than ever to log ExceptionList inserts directly into the activity log, which can be viewed from the WebUI. The Log node can be especially valuable, often replacing the Trace node in various scenarios.
Part 1: Understanding The Challenges By: VarunKhaitan With special thanks to my stunning colleagues: Mallika Rao , Esmir Mesic , HugoMarques Introduction At Netflix, we manage over a thousand global content launches each month, backed by billions of dollars in annual investment. Ensuring the success and discoverability of each title across our platform is a top priority, as we aim to connect every story with the right audience to delight our members.
As organizations turn to the cloud for more and more products and services, many are discovering that the majority of these offerings come with hidden, yet significant, costs.
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Technology Performance Pulse brings together the best content for technology performance professionals from the widest variety of industry thought leaders.
As organizations turn to the cloud for more and more products and services, many are discovering that the majority of these offerings come with hidden, yet significant, costs.
We’re excited to share that Dynatrace has been recognized in the DevOps: Observability category of InfoWorlds 2024 Technology of the Year awards! This honor reflects our dedication to helping organizations tackle complexity and achieve greater clarity in managing their digital environments. Why this award matters The InfoWorld Technology of the Year awards celebrate standout solutions in AI, APIs, applications, business intelligence, cloud, data management, DevOps, and software development
We love writing articles and blog posts that help folks solve real web performance and UX problems. Here are the ones you loved most in 2024. (The number one item may surprise you!) Some of these articles come from our recently published Web Performance Guide – a collection of evergreen how-to resources (written by actual humans!) that will help you master website monitoring, analytics, and diagnostics.
As microservices architectures have become increasingly prevalent in modern software systems, they’ve brought both tremendous benefits and significant challenges. One of the most pressing challenges has been maintaining performance at scale while dealing with complex service dependencies and network communication overhead. Today, I want to explore MuCache, an innovative framework recently presented by Zhang et. al at USENIX NSDI 2024 that tackles this challenge head-on by providing automat
MongoDB Community Edition 8.0 has been available since October. At Percona, we took the time to examine this release carefully, check performance, and guarantee it works perfectly, stand-alone, and with other tools like Percona Backup for MongoDB and Percona Monitoring and Management.
This article is the first in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. We kick off with a few topics focused on how were empowering Netflix to efficiently produce and effectively deliver high quality, actionable analytic insights across the company.
Every year feels like a big year here at SpeedCurve, and 2024 was no exception. Here's a recap of product highlights designed to make your performance monitoring even better and easier! Our biggest achievements this year have centred on making it easier for you to: Gather more meaningful real user monitoring (RUM) data Get actionable insights from Core Web Vitals Simplify your synthetic testing Get expert performance coaching when and how you need it Keep reading to learn more.
Traditional monitoring is not enough. We need developer-centric solutions that only Observability 2.0 can give us. Read on to see why. Beyond Traditional Monitoring In today's software development landscape, creating cutting-edge applications requires an acute focus on the developers who craft these digital experiences from start to finish; henceforth, contemporary tools are not just expected but demanded to be inherently developer-centric-offering environments that promote efficiency and creati
An application down due to not being able to write into a table anymore due to a maximum allowed auto-increment value may be one of the worst nightmares of a DBA.
Like just about everyone, we were impressed by the ability of NotebookLM to generate podcasts: Two virtual people holding a discussion. You can give it some links, and it will generate a podcast based on the links. The podcasts were interesting and engaging. But they also had some limitations. The problem with NotebookLM is that, while you can give it a prompt, it largely does what its going to do.
This month, we celebrate everything that OG performance hero Pat Meenan has done – and continues to do – for the web performance community. When we started the Performance Hero series earlier this year, we had an idea of the types of folks in our community we wanted to acknowledge: People who are making a difference in web performance People who are humble People who give without expectation People who don't necessarily crave the spotlight When looking at these attributes – for
Imagine a day when your IT team resolves critical incidents before users even notice them. In todays multicloud world, complexity is the norm. But what if an AIOps strategy could transform that complexity into your organizations greatest advantage? IT operations teams must monitor, maintain, and optimize a broader mix of applications, infrastructure, and technologies, with newer digital business solutions only adding to the strain.
This blog is not intended to offer anything extraordinary; instead, consider it an anecdote, a lesson, or simply a proper way of doing things without the need to run a test when in doubt. That said, I must emphasize that, as always, testing everything before deploying to production is essential.
By J Han , PallaviPhadnis Context At Netflix, we use Amazon Web Services (AWS) for our cloud infrastructure needs, such as compute, storage, and networking to build and run the streaming platform that we love. Our ecosystem enables engineering teams to run applications and services at scale, utilizing a mix of open-source and proprietary solutions. In turn, our self-serve platforms allow teams to create and deploy, sometimes custom, workloads more efficiently.
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