This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
I tend to launch most programs on my Windows 10 laptop by typing the <Win> key, then a few letters of the program name, and then hitting enter. On my powerful laptop (SSD and 32 GB of RAM) this process usually takes as long as it takes me to type these characters, just a fraction of a second. Usually. Sometimes, however, it takes longer. A lot longer.
Kubernetes adoption survey executive summary. Modern, cloud-native computing is impossible to separate from containers and Kubernetes adoption. While Kubernetes is still a relatively young technology, a large majority of global enterprises use it to run business-critical applications in production. The rapid adoption is driven—and challenged by—an ever-growing ecosystem of Kubernetes technologies that add advanced platform features, such as security, microservice communications, observability, s
Code coverage is a software quality metric commonly used during the development process that let’s you determine the degree of code that has been tested (or executed). To achieve optimal code coverage, it is essential that the test implementation (or test suites) tests a majority percent of the implemented code. There are a number of code coverage tools for languages like Java, C#, JavaScript, etc.
What would you say is the job of a software developer? A layperson, an entry-level developer, or even someone who hires developers will tell you that job is to … well … write software. Pretty simple. An experienced practitioner will tell you something very different. They’d say that the job involves writing some software, sure. But deep down it’s about the purpose of software.
This blog is in continuation of my previous blog on the basic understanding of corruption with the subject line The Ultimate Guide to Database Corruption: Part 1 – An Overview. If you have not already gone through it, I encourage you to read it to understand data corruption. Introduction. This blog focuses on B-tree indexes and various corruption-related issues that occur with them.
The release candidate of OpenTelemetry metrics was announced earlier this year at Kubecon in Valencia, Spain. Since then, organizations have embraced OTLP as an all-in-one protocol for observability signals, including metrics, traces, and logs, which will also gain Dynatrace support in early 2023. Realizing the promise of OpenTelemetry is a challenge for most organizations.
Building performant services and systems is at the core of every business. Tons of technologies emerge daily, promising capabilities that help you surpass your performance benchmarks. However, production environments are chaotic landscapes that exact a heavy performance toll when not maintained and monitored. Although Kubernetes is the defacto choice for container orchestration, many organizations fail to implement it.
Optimizing The Image Element LCP. Optimizing The Image Element LCP. Eloïse Martin. 2023-01-16T18:00:00+00:00. 2023-01-16T22:03:27+00:00. Largest Contentful Paint (or LCP) is one of three metrics of the Core Web Vitals. These metrics are used by Google to evaluate the quality of user experience. LCP measures the time it takes for the browser to load the main content in the viewport.
Sign up to get articles personalized to your interests!
Technology Performance Pulse brings together the best content for technology performance professionals from the widest variety of industry thought leaders.
Optimizing The Image Element LCP. Optimizing The Image Element LCP. Eloïse Martin. 2023-01-16T18:00:00+00:00. 2023-01-16T22:03:27+00:00. Largest Contentful Paint (or LCP) is one of three metrics of the Core Web Vitals. These metrics are used by Google to evaluate the quality of user experience. LCP measures the time it takes for the browser to load the main content in the viewport.
The definition of Percona Advisors by ChatGPT is the following: Percona Advisors can help organizations implement robust security measures to protect their databases and sensitive data. It is partially true. The reason why we have Percona Advisors is to encode years of our database expertise and share it with the community, to resolve performance and security issues automatically, without human intervention.
Business events are a special class of events, new to Business Analytics; together with Grail, our data lakehouse, they provide the precision and advanced analytics capabilities required by your most important business use cases. Business events deliver real-time business data from anywhere and empower business and IT teams to analyze, discover, and automate to improve business outcomes.
As we are progressing with application development, among various things, there is one primary thing we are less worried about: computing power. Because with the advent of cloud providers, we are less worried about managing data centers. Everything is available within seconds on-demand. This leads to an increase in the size of data as well. Big data is generated and transported using various mediums in single requests.
In this blog, we share how we improved the daily edit-build-run developer experience using DevPods, Uber’s remote development environment. We cover the challenges, pain points, our architecture, and lastly the future of remote development at Uber.
Recently Oracle released new versions of their software and there are some things of note. MySQL 8.032 is not a major change but you do need to be aware of some changes just in case they have the potential to send you into the court of Murphy’s Law. So let’s look through the release notes to see what is new, changed, and deprecated. My own comments are in italics and reflect the views of neither Percona nor anyone else.
As organizations accelerate innovation to keep pace with digital transformation, DevOps observability is becoming a critical key to success for DevOps and DevSecOps teams. However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging. Indeed, the pressure to digitally transform is increasing.
You must implement a business continuity and disaster recovery (BCDR) strategy as a company to ensure that your data is secure and that your apps and workloads are available during both scheduled and unforeseen outages. BCDR Approach Benefits From Azure Recovery Services Service for site recovery: By keeping business applications and workloads operational during disruptions, Site Recovery contributes to business continuity.
Uber’s Data team discusses how they used CLP to scale log ingestion, retention, and analytics for Petabytes of Spark logs, reducing log storage and management costs by 169x.
16 years ago, our founder Peter Zaitsev covered this topic and some of the points described there are still valid, and we will cover more on this blog. While the technologies have evolved and matured enough, there are still some people thinking that MySQL is only for small projects or that it can’t perform well with large tables. Some startups adopted MySQL in its early days such as Facebook, Uber, Pinterest, and many more, which are now big and successful companies that prove that MySQL can ru
We have released Dynatrace version 1.258. To learn what’s new, have a look at the release notes. The post Dynatrace SaaS release notes version 1.258 appeared first on Dynatrace news.
There may be a scenario when you want to test an application when the network is slow(we also call it high network latency). Or you are reproducing a customer scenario(having high network latency) where some anomalous behavior is observed. In the Chrome browser, we can easily Simulate a slower network connection. This is very helpful when we are working with web applications.
Uber’s API platform team talks about how they built their Next Generation Push Platform on gRPC which helped improve the reliability and latency of messages significantly.
Before deploying Percona Monitoring and Management (PMM) in production, you might want to test it or set up a development instance locally. Since many developers and DBAs have Windows desktops, I wanted to demonstrate how to set up PMM on Windows for an easy test environment. In this post, I’ll walk you through setting up PMM with Docker and WSL. If you’re a Linux user, check the blog post I wrote on Setting up PMM for monitoring MySQL in a local environment.
Migrating the applications to the cloud is often the first step for any organization in embracing modernization to achieve the desired growth. While some go for a lift and shift model, others zero down to refactoring or rewriting. So what makes the best approach for modernizing your apps? Let's understand them to get the crux of the discussion to differentiate better.
BindPlane OP is a powerful open-source tool that makes it easy to build and manage telemetry pipelines to ship data from IT environments of any kind and size to any analysis tool or storage destination. BindPlane OP installs and configures OpenTelemetry agents, which support a wide variety of sources and can be configured to ship data to multiple destinations while enriching or reducing data simultaneously.
The Uber Eats team shares how they built a novel system with machine learning and linear programming to send the right message at the right time to its users.
Percona Monitoring and Management 2.34 preview release Hello folks! Percona Monitoring and Management (PMM) 2.34 is now available as a preview release. We encourage you to try this PMM preview release in testing environments only, as these packages and images are not fully production-ready. The final version is expected to be released through the standard channels in the coming week.
Application modernization helps in reducing technical debt and improving system efficiency. However, modernizing the app has challenges of re-engineering broken elements in code, restructuring the app, and costs. Overcoming these challenges and reducing tech debt requires the right strategy. So, here are six successful modernization examples with unique strategies to reduce tech debt.
Having a distributed and scalable graph database system is highly sought after in many enterprise scenarios. This, on the one hand, is heavily influenced by the sustained rising and popularity of big-data processing frameworks, including but not limited to Hadoop, Spark, and NoSQL databases; on the other hand, as more and more data are to be analyzed in a correlated and multi-dimensional fashion, it's getting difficult to pack all data into one graph on one instance, having a truly distributed a
Our engineers discuss how we dedupe and store millions of product images at Uber Eats using a content-addressable caching layer, which saves millions of image downloads every hour and ensures that every image is only stored once.
Software Testing is critical in developing a software product, and it involves verifying that the software functions efficiently and meets the user’s requirements. A career.
This post started out as a reaction to attending SC22 after about 20 years away from the HPC mainstream. I had a version of this published as a story at InsideHPC on December 1st. In early January a related paper was published by Satoshi Matsuoka et. al. on Myths and Legends of High Performance Computing — it’s a somewhat light-hearted look at some of the same issues by the leader of the team that built the Fugaku system I mention below.
As a bird’s eye view, Apache ZooKeeper has been leveraged to get coordination services for managing distributed applications. It holds responsibility for providing configuration information, naming, synchronization, and group services over large clusters in distributed systems. To consider as an example, Apache Kafka uses ZooKeeper for choosing their leader node for the topic partitions. zNodes The key concept of ZooKeeper is the zNode, which can be acted either as files or directories.
Have you ever forgotten to take the garbage out, and as it piles up each item you place on the top of the stack threatens to topple the whole mess? That’s an apt description for a lot of IT architectures today. They might have the latest cloud-based solutions running on the top, but it all hinges on an outdated, archaic Excel spreadsheet or mainframe application from 20 years ago.
Unless work is done per architecture to implement HAVE_ARCH_VMAP_STACK / CONFIG_VMAP_STACK, the Linux kernel defaults to two pages worth of stack per thread. Note: on many contemporary systems the page size is 4KiB, but this is actually configurable for many architectures. The trade offs probably require a separate post. If you see code that checks for alignment via bitwise tricks like addr & 4095 == 0 without checking sysconf(_SC_PAGESIZE) it is perhaps a red flag for code that might be to
A few weeks ago, we introduced a new Role-based Access Management (RBAC) feature in the GitGuardian Internal Monitoring platform. This release resulted from several months of hard work where we had to thoroughly review our data model and implement a very resource-efficient permissions calculation mechanism. Therefore, I thought this was the perfect opportunity to offer a deep dive into the research, problems, and dead-end roads we encountered on this journey.
Our Data Workflow Platform team introduces WorkflowGuard: a new service to govern executions, prioritize resources, and manage life cycle for repetitive data jobs. Check out how it improved workflow reliability and cost efficiency while bringing more observability to users.
Ever wondered how tRPC works? Maybe you want to start contributing to the project but you're frightened by the internals? The aim of this post is to familiarize you with the internals of tRPC by writing a minimal client that covers the big parts of how tRPC works. info It's recommended that you understand some of the core concepts in TypeScript such as generics, conditional types, the extends keyword and recursion.
How can we fix a nasty out-of-space issue leveraging the flexibility of Percona Operator for MySQL? When planning a database deployment, one of the most challenging factors to consider is the amount of space we need to dedicate to data on disk. This is even more cumbersome when working on bare metal, as it is more difficult to add space when using this kind of solution with respect to the cloud.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content