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Establishing SLOs for Kubernetes clusters can help organizations optimize resource utilization. A good Kubernetes SLO strategy helps teams manage and make containerized workloads more efficient. Kubernetes is a widely used open source system for container orchestration. It allows for seamless running of containerized workloads across different environments.
If you’re a web developer , you probably spend a fair amount of time working with Chrome DevTools. It’s one of the best tools out there for diagnosing and improving the performance of your web applications. You can use it to track loading times, optimize CSS and JavaScript , and inspect network activity. But there’s an important piece of performance data that DevTools doesn’t yet expose by default: Long Animation Frames (LoAFs).
By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction. This counting service, built on top of the TimeSeries Abstraction, enables distributed counting at scale while maintaining similar low latency performance.
At ScaleGrid, we’re focused on delivering powerful, reliable, and flexible database management solutions. Here’s a quick look at what’s new this month: MongoDB Now on AWS, Azure, and Google Cloud We’re excited to announce that you can now deploy and manage MongoDB clusters on AWS, Azure, and Google Cloud. This update gives you the flexibility to choose the cloud provider that best suits your needs while ensuring seamless performance and scalability.
One popular term encountered in generative AI practice is retrieval-augmented generation (RAG). Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. The haphazard results may be entertaining, although not quite based in fact.
Why Optimizing Your Lighthouse Score Is Not Enough For A Fast Website Why Optimizing Your Lighthouse Score Is Not Enough For A Fast Website Geoff Graham 2024-11-05T10:00:00+00:00 2024-11-05T15:07:01+00:00 This article is sponsored by DebugBear We’ve all had that moment. You’re optimizing the performance of some website, scrutinizing every millisecond it takes for the current page to load.
AI transformation, modernization, managing intelligent apps, safeguarding data, and accelerating productivity are all key themes at Microsoft Ignite 2024. AI continues to transform how organizations operate, making it essential to identify the most strategic investment areas for optimal (and fast) results. Adopting AI to enhance efficiency and boost productivity is critical in a time of exploding data, cloud complexities, and disparate technologies.
In today’s world where data drives everything, managing large-scale databases and their security is both a necessity and a challenge. A few factors that organizations consider when choosing databases are primary are its cost, flexibility, and support from hosting providers. An open-source database is your best bet for many reasons. As organizations are looking for more and more open-source products to run their enterprise business, this gives them greater flexibility and cost-effectiveness.
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In today’s world where data drives everything, managing large-scale databases and their security is both a necessity and a challenge. A few factors that organizations consider when choosing databases are primary are its cost, flexibility, and support from hosting providers. An open-source database is your best bet for many reasons. As organizations are looking for more and more open-source products to run their enterprise business, this gives them greater flexibility and cost-effectiveness.
Originally published on The New Stack. Building a flexible cloud strategy means making decisions that align with operational efficiency, cost management, and scalability. Public cloud platforms offer immense convenience but come with certain downsides. High long-term costs, vendor lock-in, and lack of flexibility are concerns for many organizations.
Discover how Livi navigated the complexities of transitioning MJog, a legacy healthcare system, to a cloud-native architecture, sharing valuable insights for successful tech modernization. Our experience illustrates that transitioning from legacy systems to cloud-based microservices is not a one-time project but an ongoing journey.
Between vacation, end-of-year projects, the coming holidays, and other hysteria, I haven’t come up with an article this month. So here’s a quick list of things that have amazed me recently. Are we virtual yet? I’m far from the first person to find NotebookLM amazing, and I certainly won’t be the last. I did a simple experiment: I pointed it at two of my recent posts, “ Think Better ” and “ Henry Ford Does AI.
On AWS Lambda's 10th anniversary, I'm publishing the internal PR/FAQ that helped launch this groundbreaking service. This document provides insight into the customer problems we observed in the early 2010s and our vision for serverless computing. Readers will find annotations throughout, offering a glimpse into how our long-term thinking has influenced Lambda's evolution over the past decade.
As organizations adopt more cloud-native technologies, the risk—and consequences—of cyberattacks are also increasing. This rising risk amplifies the need for reliable security solutions that integrate with existing systems. That’s why we’re proud to announce that Dynatrace has joined the Microsoft Intelligent Security Association (MISA).
Horizontally scalable data stores like Elasticsearch , Cassandra , and CockroachDB distribute their data across multiple nodes using techniques like consistent hashing. As nodes are added or removed, the data is reshuffled to ensure that the load is spread evenly across the new set of nodes. When deployed on bare-metal clusters or cloud VMs, database administrators are responsible for adding and removing nodes in a clustered system, planning the changes at times of low load to minimize disruptio
Managing keys inside Valkey/Redis is crucial, especially when we need to test in a different environment or restore a partial/specific key-value dataset for a migration or production movement event.
At QCon San Francisco 2024, software architecture is front and center, with two tracks dedicated to exploring some of the largest and most complex architectures today. Join senior software practitioners as they provide inspiration and practical lessons for architects seeking to tackle issues at a massive scale.
Advances in the Industrial Internet of Things (IIoT) and edge computing have rapidly reshaped the manufacturing landscape, creating more efficient, data-driven, and interconnected factories. By 2025, the convergence of IIoT and edge computing will be critical for manufacturers aiming to achieve higher productivity, minimize downtime, and meet the growing demands of Industry 4.0.
As enterprises embrace more distributed, multicloud and applications-led environments, DevOps teams face growing operational, technological, and regulatory complexity, along with rising cyberthreats and increasingly demanding stakeholders. Meanwhile, cost reduction programs affect budgets, constrain technology investment, and inhibit innovation. While 77% of SME IT admins want a single tool to do their job, organizations continue to impose a wide range of tools on them.
CPU spikes are one of the most common performance challenges faced by Java applications. While traditional APM (Application Performance Management) tools provide high-level insights into overall CPU usage, they often fall short of identifying the root cause of the spike. APM tools usually can’t pinpoint the exact code paths causing the issue. This is where non-intrusive , thread-level analysis proves to be much more effective.
When I talk to old-timers in the MySQL community, I often hear this question: “How come MySQL is so awesome and still more popular than PostgreSQL (according to DB-Engines methodology at least), but it is losing ground while PostgreSQL’s growth in popularity has been unstoppable?
Uber uses Presto, an open-source distributed SQL query engine, to provide analytics across several data sources, including Apache Hive, Apache Pinot, MySQL, and Apache Kafka. To improve its performance, Uber engineers explored the advantages of dealing with quick queries, a.k.a. express queries, in a specific way and found they could improve both Presto utilization and response times.
As the Industrial Internet of Things (IIoT) gains traction, AI technologies are transforming how industrial organizations monitor, manage, and optimize their assets and use their data. By leveraging real-time data from connected devices, IIoT-based companies such as auto manufacturers can make data-driven decisions faster than ever before to achieve things like preventative maintenance.
Performance Benchmarking of PostgreSQL on ScaleGrid vs. AWS RDS Using Sysbench This article evaluates PostgreSQL’s performance on ScaleGrid and AWS RDS, focusing on versions 13, 14, and 15. We use Sysbench to benchmark key performance metrics under different workloads and thread configurations, including Transactions Per Second (TPS) and Queries Per Second (QPS).
Dynatrace continues to deliver on its commitment to keeping your data secure in the cloud. Enhancing data separation by partitioning each customer’s data on the storage level and encrypting it with a unique encryption key adds an additional layer of protection against unauthorized data access. Separate data storage fulfills the security compliance requirements of many Dynatrace customers operating in highly regulated sectors, making it much easier for them to use Dynatrace SaaS and accelerate th
In an era characterized by an exponential increase in data generation, organizations must effectively leverage this wealth of information to maintain their competitive edge. Efficiently searching and analyzing customer data — such as identifying user preferences for movie recommendations or sentiment analysis — plays a crucial role in driving informed decision-making and enhancing user experiences.
Differential Privacy is a powerful framework for ensuring privacy in data analysis by adding controlled noise to computations. Its mathematical foundation guarantees that the presence or absence of any individual’s data in a dataset does not significantly affect the outcome of an analysis. Here are six key equations that capture the essence of differential privacy and its mechanisms, along with references to their origins and explanations.
PostgreSQL 12 reached its End of Life (EOL) on November 14, 2024. For more information, see the official PostgreSQL versioning policy page. This milestone marks the end of regular updates, bug fixes, and critical security patches for version 12.
Earlier this year, I announced the Now Go Build CTO Fellowship. A program designed to empower leaders from nonprofits and social impact organizations solving hard human problems. Today, I'm excited to introduce the first two cohorts, focusing on Disaster Management and Climate Resilience.
Pinterest has modernized and enhanced its Goku time-series database. The recent updates focus on optimizing storage and resource usage without compromising service quality.
In large enterprises, attributing IT costs to various cost centers, teams, or departments can be cumbersome and is typically only possible through significant manual overhead. Sometimes, introducing new IT solutions is delayed or canceled because a single business unit can’t manage the operating costs alone, and per-department cost insights that could facilitate cost sharing aren’t available.
When users worldwide woke up to their Windows devices inoperable, they feared they had fallen victim to the largest cyber-attack ever seen. But it wasn't an attack — their devices were down from a faulty CrowdStrike update. This $5 billion mistake could have been avoided with proper testing and quality assurance. With companies striving to update and publish software rapidly, the learnings from this global panic stemming from one endpoint security software update are telling.
On Saturday, the ISO C++ committee completed the third-last design meeting of C++26, held in Wrocaw, Poland. There are just two meetings left before the C++26 feature freeze in June 2025, and C++26 is on track to be completed two more meetings after that in early 2026. Implementations are closely tracking draft C++26; GCC and Clang already support about two-thirds of C++26 features right now.
Slow Presto® queries can hinder data-driven operations. At Uber, we designed Presto express to achieve a 50% improvement in the end-to-end SLA for 70% of queries using query analysis, real-time insights, and resource isolation.
There’s a goldmine of business data traversing your IT systems, yet most of it remains untapped. To unlock business value, the data must be: Accessible from anywhere. Data has value only when you can access it, no matter where it lies. Easy to access. Simplicity accelerates time-to-value and reduces implementation and maintenance costs. Real time. Agile business decisions rely on fresh data.
This is an In-Depth Comprehensive Functional Testing Tutorial with Types, Techniques, and Examples. Let’s begin. Let us first understand what Functional Testing is? Functional testing is a kind of black-box. Read more The post Complete Functional Testing Guide With Its Types And Example appeared first on Software Testing Help.
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