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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.
As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. Indeed, recent research found that 54% of organizations are investing in platforms to enable easier integration of tools and collaboration between teams involved in automation projects.
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.
Data loss or corruption can be daunting. With MySQL point-in-time recovery , you can restore your database to the moment before the problem occurs. This article delivers a practical roadmap for using backups and binary logs to achieve accurate MySQL recovery, detailed steps for setting up your server, and tips for managing recovery and backups effectively without overwhelming you with complexity.
Building scalable systems using microservices architecture is a strategic approach to developing complex applications. Microservices allow teams to deploy and scale parts of their application independently, improving agility and reducing the complexity of updates and scaling. This step-by-step guide outlines the process of creating a microservices-based system, complete with detailed examples. 1.
What is IBM i? IBM i, formerly known as iSeries, is an operating system developed by IBM for its line of IBM i Power Systems servers. It is based on the IBM AS/400 system and is known for its reliability, scalability, and security features. IBM i is designed to integrate seamlessly with legacy and modern applications, allowing businesses to run critical workloads and applications.
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
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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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.
Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, The Modern DevOps Lifecycle: Shifting CI/CD and Application Architectures. Forbes estimates that cloud budgets will break all previous records as businesses will spend over $1 trillion on cloud computing infrastructure in 2024. Since most application releases depend on cloud infrastructure, having good continuous integration and continuous delivery (CI/CD) pipelines and end-to-end observability bec
Cloud-native CI/CD pipelines and build processes often expose Kubernetes to attack vectors via internet-sourced container images. Despite scanning, these container images can still be susceptible to supply chain attacks if not properly verified. Ensuring immutability—coupled with thorough scanning and strict verification—is crucial for any container entering Kubernetes clusters.
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.
What makes a great user experience? There are probably as many answers to this question as there are users because we are talking about very subjective and personal feelings and observations.
Docker Swarm is a popular container orchestration technology that makes containerized application administration easier. While Docker Swarm provides strong capabilities for deploying and scaling applications, it’s also critical to monitor and report the performance and health of your Swarm clusters. In this post, we will look at logging and monitoring in a Docker Swarm environment, as well as best practices, tools, and tactics for keeping your cluster working smoothly.
With the complexity of today’s technology landscape, a modern observability strategy is critical for organizations to stay competitive. With digital transformation, cloud migration, and the explosion of data, a unified observability and security approach is what will set businesses apart. Together with industry-leading partners , Dynatrace delivers end-to-end observability to enterprises across the globe, enabling intelligent automation and faster innovation.
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.
If you are reading this blog post, chances are you’re either curious about Kubernetes Operators, or you’ve specifically decided to install the Percona Operator for PostgreSQL, which I am glad to know!Suppose your environment isn’t set up yet.
Do you know what the global edtech and smart classroom market size was in 2022? No idea? Then, we must inform you that it was somewhere around USD 115.80 billion, which is estimated to grow from USD 133.55 billion in 2023 to USD 433.17 billion in 2030. Yes, you read that right! And among all the contributors to these numbers, Physics Wallah has been a well-known name.
In 2024, digital transformation continues to dominate as a key priority, where organizations seek to build and maintain a competitive edge. To unlock the agility to drive this innovation, organizations are embracing multicloud environments and Agile delivery practices. But these environments are, by nature, difficult to manage. They create an explosion of data that is extremely challenging to manually capture, analyze, and act on.
The hardest part about web performance isn’t making your site faster – it’s keeping it that fast. Hearing about a company that devoted significant effort into optimizing their site, only to find their performance right back where it started a few months later, is all too familiar. The reality is that, as critical as site speed is, it’s also very easy to overlook.
I really like AWS and the way they build their products, I really do. But for some reason, AWS Elastic Kubernetes Service (EKS) provides one of the worst user experiences. There are a couple of huge pain points that I want to cover in this quick blog post.
In the world of high-performance computing, utilizing SIMD (Single Instruction, Multiple Data) instructions can significantly boost the performance of certain types of computations. SIMD enables processors to perform the same operation on multiple data points simultaneously, making it ideal for tasks like numerical computations, image processing, and multimedia operations.
We have released Dynatrace Managed version 1.286. To learn what’s new, have a look at the release notes. The post Dynatrace Managed release notes version 1.286 appeared first on Dynatrace news.
“Automatic,” the website development company behind various WordPress-related products, including WordPress.com, offers WordPress VIP. It is a premium managed hosting service explicitly designed for high-traffic and high-profile websites. WordPress website development is mainly used for those belonging to institutions with demanding online needs. These institutions include publishers, media organizations, large enterprises, and others.
Percona Operator for PostgreSQL is now Red Hat OpenShift certified. You can now use Percona Operator for PostgreSQL to deploy and manage highly available PostgreSQL clusters on OpenShift. Certification guarantees that our Operator meets standards for interoperability, security, and life cycle management when deployed on Red Hat OpenShift.
Acknowledgments In this blog, I’m explaining concepts and techniques related to both the way so-called “Jewish times” (zmanim) are calculated; as well as the techniques needed to use the PHP Zmanim library – a library of functions that let you easily calculate Jewish times. The PHPZmanim library is maintained by Zachary Weixelbaum. As with so many things in tech today, PHP Zmanim is itself based on the foundational Kosher Java library by Eliyahu Hershfeld.
Percona software releases and updates February 21 - March 4, 2024. Percona is a leading provider of unbiased, performance-first, open source database solutions that allow organizations to easily, securely, and affordably maintain business agility, minimize risks, and stay competitive, free from vendor lock-in. Percona software is designed for peak performance, uncompromised security, limitless scalability, and disaster-proofed availability.
Are you looking at your organization's efforts to enter or expand into the cloud-native landscape and feeling a bit daunted by the vast expanse of information surrounding cloud-native observability? When you're moving so fast with agile practices across your DevOps, SREs, and platform engineering teams, it's no wonder this can seem a bit confusing. Unfortunately, the choices being made have a great impact on both your business, your budgets, and the ultimate success of your cloud-native initiati
Are you looking at your organization's efforts to enter or expand into the cloud-native landscape and feeling a bit daunted by the vast expanse of information surrounding cloud-native observability? When you're moving so fast with agile practices across your DevOps, SREs, and platform engineering teams, it's no wonder this can seem a bit confusing.
GCP (Google Cloud Platform) provides a comprehensive set of cloud services for developing, deploying, and managing applications and infrastructure. To maintain the performance, security, and cost-effectiveness of your cloud-based resources, robust logging and monitoring are required. In this post, we will look at the significance of logging and monitoring in GCP, as well as numerous alternatives and best practices for logging and monitoring, as well as popular GCP services and tools that may ass
Ensuring application reliability is a never-ending quest. Finite state machines (FSMs) offer a solution by modeling system behavior as states and transitions, a useful tool that can help software engineers understand software behavior and design effective test cases. This article explores the pros and cons of FSMs via simple examples. We will also make a short comparison between the usefulness and applicability of FSMs and program graphs in software testing.
Microservices have transformed the software development environment, offering more agility, scalability, and resilience. However, negotiating this architectural transition is not without obstacles. Falling victim to common anti-patterns can turn your microservices utopia into a tangled web of complexity and aggravation. Fear not, intrepid developer!
Those memes that were super popular a couple of years ago show how you, your family, friends, and boss see your job vs. what you actually do. “Making sure we’re doing the right things” — that’s a one-sentence catchphrase I tell my relatives when asked what is Product Management all about.
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