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
Data migration is the process of moving data from one location to another, which is an essential aspect of cloud migration. Data migration involves transferring data from on-premise storage to the cloud. With the rapid adoption of cloud computing , businesses are moving their IT infrastructure to the cloud. This shift from on-premise to cloud computing creates challenges for IT professionals, as it requires careful planning and execution.
As organizations mature on their digital transformation journey, they begin to realize that automation – specifically, DevOps automation – is critical for rapid software delivery and reliable applications. But as multicloud environments grow, they become increasingly complex and generate massive amounts of data. In turn, manual approaches to identifying code issues and troubleshooting are not scalable.
By Guru Tahasildar , Amir Ziai , Jonathan Solórzano-Hamilton , Kelli Griggs , Vi Iyengar Introduction Netflix leverages machine learning to create the best media for our members. Earlier we shared the details of one of these algorithms , introduced how our platform team is evolving the media-specific machine learning ecosystem , and discussed how data from these algorithms gets stored in our annotation service.
This blog is in reference to our previous ones for ‘Innodb Performance Optimizations Basics’ 2007 and 2013. Although there have been many blogs about adjusting MySQL variables for better performance since then, I think this topic deserves a blog update since the last update was a decade ago, and MySQL 5.7 and 8.0 have been released since then with some major changes.
ChatGPT, or something built on ChatGPT, or something that’s like ChatGPT, has been in the news almost constantly since ChatGPT was opened to the public in November 2022. What is it, how does it work, what can it do, and what are the risks of using it? A quick scan of the web will show you lots of things that ChatGPT can do. Many of these are unsurprising: you can ask it to write a letter, you can ask it to make up a story, you can ask it to write descriptive entries for products in a catalog.
"I made my pages faster, but my business and user engagement metrics didn't change. WHY???" "How do I know how fast my pages should be?" "How can I demonstrate the business value of performance to people in my organization?" If you've ever asked yourself any of these questions, then you could find the answers in identifying and understanding the performance poverty line for your site.
Day two of Dynatrace Perform began with a great discussion between Kelsey Hightower , Distinguished Developer Advocate at Google Cloud Platform and Andi Grabner , DevOps Evangelist at Dynatrace. The theme of their discussion was redefining the boundaries of people, processes and platforms. Kelsey began the discussion by explaining that his career took off when he began focusing on the fundaments.
Dynatrace is proud to be an AWS launch partner in support of Amazon Linux 2023 (AL2023). Amazon’s new general-purpose Linux for AWS is designed to provide a secure, stable, and high-performance execution environment to develop and run cloud applications. The Dynatrace Software Intelligence Platform accelerates cloud operations, helping organizations achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability.
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.
Dynatrace is proud to be an AWS launch partner in support of Amazon Linux 2023 (AL2023). Amazon’s new general-purpose Linux for AWS is designed to provide a secure, stable, and high-performance execution environment to develop and run cloud applications. The Dynatrace Software Intelligence Platform accelerates cloud operations, helping organizations achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability.
by Varun Sekhri , Meenakshi Jindal , Burak Bacioglu Introduction At Netflix, to promote and recommend the content to users in the best possible way there are many Media Algorithm teams which work hand in hand with content creators and editors. Several of these algorithms aim to improve different manual workflows so that we show the personalized promotional image, trailer or the show to the user.
Public cloud spending is slowing down. Quarter-over-quarter growth is no longer hitting 30% gains for AWS, Google, and Microsoft. This is businesses’ response to tough and uncertain macroeconomic conditions, where organizations scrutinize their public cloud spending to optimize and adjust. In this blog post, we will see how running databases on Kubernetes with Percona Operators can reduce your cloud bill when compared to using AWS RDS.
A couple of days ago, I was thinking about what you needed to know to use ChatGPT (or Bing/Sydney, or any similar service). It’s easy to ask it questions, but we all know that these large language models frequently generate false answers. Which raises the question: If I ask ChatGPT something, how much do I need to know to determine whether the answer is correct?
If you’re new to the Arm ecosystem, consider this a quick primer on terms you likely have seen before but might have questions about. The Arm architecture is a family of Reduced Instruction Set Architectures (RISC) with simple addressing modes. Data processing is done on register operands otherwise relying on loads and stores to move data into and out of registers.
This is an article from DZone's 2023 Software Integration Trend Report. For more: Read the Report In recent years, the rise of microservices has drastically changed the way we build and deploy software. The most important aspect of this shift has been the move from traditional API architectures driven by monolithic applications to containerized microservices.
Service-level objectives help IT teams define technical success and align with top-line business objectives. But not all service-level objectives (SLOs) are created equal. So how do development and operations (DevOps) teams and site reliability engineers (SREs) distinguish among good, great, and suboptimal SLOs? In the 2023 Perform session “SLOs done right: A practitioners guide,” Michael Cabrera, SRE lead at Vivint, and Andreas Grabner, DevSecOps activist at Dynatrace, break down th
By Burak Bacioglu , Meenakshi Jindal Asset Management at Netflix At Netflix, all of our digital media assets (images, videos, text, etc.) are stored in secure storage layers. We built an asset management platform (AMP), codenamed Amsterdam , in order to easily organize and manage the metadata, schema, relations and permissions of these assets. It is also responsible for asset discovery, validation, sharing, and for triggering workflows.
Announcement I will be speaking at Percona Live 2023 about serverless PostgreSQL. Join us at this event if you are interested! Introduction Recently, Percona introduced Percona Builds for Neon ( Introducing Percona Builds for Serverless PostgreSQL ), which makes it easy to install and experiment with serverless PostgreSQL. But now, there’s an even more convenient way to explore the capabilities of serverless PostgreSQL — Docker images.
MySQL 8.0.32 came out recently and had some important bugfixes contributed by Perconians. Here is a brief overview of the work done. Inconsistent data and GTIDs with mysqldump Marcelo Altmann (Senior Software Engineer) fixed the bug when data and GTIDs backed up by mysqldump were inconsistent. It happened when the options –single-transaction and –set-gtid-purged=ON were both used because GTIDs on the server could have already increased between the start of the transaction by mysqldum
There are increasingly loud rumblings that Apple will be allowing other browser engines to be used on iOS , and all I can say is it’s about time. It’s not always obvious to folks, but the versions of Chrome or Firefox or any other browser you can download on iOS today still uses WebKit, Safari’s underlying engine, under the hood. So you’re not actually getting browser choice at all.
When organizations move toward the cloud, their systems also lean toward distributed architectures. One of the most common examples is the adoption of microservices. However, this also creates new challenges when it comes to observability. You need to find the right tools to monitor, track and trace these systems by analyzing outputs through metrics, logs, and traces.
Today, Dynatrace is announcing that it has successfully achieved Google Cloud Ready – AlloyDB designation in support of an extended integration to Google Cloud’s AlloyDB for PostgreSQL. AlloyDB is a fully managed, PostgreSQL-compatible database service for highly demanding enterprise database workloads. Google Cloud Ready – AlloyDB is a new designation for the solutions of Google Cloud’s technology partners that integrate with AlloyDB.
By Meenakshi Jindal Overview At Netflix, we built the asset management platform (AMP) as a centralized service to organize, store and discover the digital media assets created during the movie production. Studio applications use this service to store their media assets, which then goes through an asset cycle of schema validation, versioning, access control, sharing, triggering configured workflows like inspection, proxy generation etc.
Announcement I will be speaking at Percona Live 2023 about serverless PostgreSQL. Join us at this event if you are interested! Introduction Recently, Percona introduced Percona Builds for Neon ( Introducing Percona Builds for Serverless PostgreSQL ), which makes it easy to install and experiment with serverless PostgreSQL. And I followed it with how you can run easy experimentations with Neon using Docker ( Using Docker To Deploy Neon Serverless PostgreSQL).
In this post we will dive into the algorithm, data modeling, and system design that go into estimating the length of time drivers would have to wait for a trip request at a given location, empowering them to strategically remain or reposition.
Recently, I’ve noticed several posts on the Percona Community blog about test data generation. This is a great trend, as such data enables us to test applications more easily and efficiently and detect problems before they appear in production. One article was devoted to the Pagila standard DB schema and another to generating test data with Python.
Time series analysis is a statistical technique used to analyze and interpret data that is collected over time. This technique is widely used in various fields, such as finance, economics, engineering, and environmental sciences, to identify patterns and trends in the data. A time series is a sequence of data points that are recorded over a specific period, typically at regular intervals.
Microsoft support for Internet Explorer 10 ended on January 31, 2020. Dynatrace will end support for Internet Explorer 10 and earlier versions in May 2023 with the release of RUM JavaScript version 1.265 and Dynatrace version 1.266. As a result, RUM JavaScript will no longer initialize on those browsers and therefore won’t send RUM data to the Dynatrace platform.
Australia is home to a flourishing startup scene. It's flush with companies focused on improving healthcare outcomes, not only for people in Australia, but everywhere in the world. Cloud technologies are helping to accelerate both research and innovation in this space, and it all starts with the brain.
With a special focus on Percona Operator for MySQL Overview HAProxy, ProxySQL, MySQL Router (AKA MySQL Proxy); in the last few years, I had to answer multiple times on what proxy to use and in what scenario. When designing an architecture, many components need to be considered before deciding on the best solution. When deciding what to pick, there are many things to consider, like where the proxy needs to be, if it “just” needs to redirect the connections, or if more features need to
Uber’s Global Data Warehouse team leveraged Apache Hudi to drastically improve performance of traditional batch ETL pipelines by going incremental, improving business-critical data’s freshness, quality, and completeness.
With the HammerDB v4.5 Docker build, example CLI scripts were added to build and run the TPROC-C workload in the Tcl language. In HammerDB v4.6 these were enhanced to also add Python based scripts, and to include scripts for both TPROC-C and TPROC-H and a driver script for Linux environments. With HammerDB v4.7 these scripts have now moved into the main HammerDB directory to be included with all installations, rather than Docker only and a powershell driver script also added for Windows.
This is an article from DZone's 2023 Software Integration Trend Report. For more: Read the Report Our approach to scalability has gone through a tectonic shift over the past decade. Technologies that were staples in every enterprise back end (e.g., IIOP) have vanished completely with a shift to approaches such as eventual consistency. This shift introduced some complexities with the benefit of greater scalability.
It’s Friday afternoon, and an urgent warning message arrives: a critical security vulnerability is detected, which affects several parts of your environment. Who you gonna call? Obviously, you want to take care of the issue immediately to reduce the impact. But who is responsible for the affected areas? Searching for the right people can take time, especially in large and complex software environments.
White box testing is a software testing approach based on an analysis of the internal structure of the component or system. Internal structure may include code, architecture, integrations, and data flows of a system. Why is White Box Testing Performed? Testers perform white box testing for several reasons. The main reason to include it in your test plan is that it provides much more test coverage than black box testing alone.
When it comes to enterprise-level databases, there are several options available in the market, but PostgreSQL stands out as one of the most popular and reliable choices. PostgreSQL is a free and open source object-relational database management system (ORDBMS) that has existed since the mid-1990s. Over the years, it has evolved into a robust and feature-rich database that offers several advantages over other database management systems.
Uber’s configuration platform team talks about how they consolidated the infrastructure for multiple configuration systems into a unified, next-gen distribution platform, reducing CPU usage by an order of magnitude.
In HammerDB v4.7 the Transaction Counter and CPU Metrics have been updated on both Windows and Linux to use a package called tkpath enabling more advanced graphic features using the GPU where available. This gives the transaction counter, and CPU metrics, a more updated look and feel, whilst maintaining the previous lightweight impact of the graphical code.
Linux containers are a powerful solution for: Software standardization Acceleration of development and testing Effective resource management throughout the whole lifecycle of an application Here, we will provide a step-by-step guide to building Linux containers with applications intended for Cloud deployment. As an example, we will use BellSoft’s open-source Alpaquita Stream containers hosted on the Docker Hub Container Image Library.
In today’s complex multicloud environments, ensuring that your cloud applications are protected and secure is critical. Application vulnerabilities are an inevitable byproduct of the growth of agile development techniques and can be tricky to spot and address. While these vulnerabilities aren’t anything new, the modular and distributed nature of modern software development introduces a new potential for application security risks.
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