Systems | Development | Analytics | API | Testing

Unpacking Distributed Applications: What Are They? And How Do They Work?

Distributed architectures have become an integral part of modern digital landscape. With the proliferation of cloud computing, big data, and highly available systems, traditional monolithic architectures have given way to more distributed, scalable, and resilient designs. In this blog, we look at what makes an application distributed and how distributed applications work to bring about high availability, scalability, and resilience.

Testing Microservices and Distributed Systems with JMeter

This blog post is about testing microservices and distributed systems with JMeter. It will focus on the principles of performance testing applications that are architected this way. We will not look at which JMeter samplers to use in order to generate a load against microservices or how to configure these samplers. This post will consider best practise and consideration in designing your performance testing when faced with these applications.

What's new in Vera 24.1: Domain role changes audit history and Jira formatting support

We are thrilled to announce the release of Vera™ 2024.1! In this new version, we are introducing significant enhancements focused on audit history of domain role changes, streamlined Single Sign-On (SSO) login improvements, and improved Jira formatting support. We understand that maintaining stringent regulatory compliance while enhancing user experience are paramount concerns for any organization.

Exploring Apache Flink 1.19: Features, Improvements, and More

The Apache Flink® community unveiled Apache Flink version 1.19 this week! This release is packed with numerous new features and enhancements. In this blog post, we'll spotlight some of the standout additions. For a comprehensive rundown of all updates, don't forget to review the release notes.

Why a Solid Data Foundation Is the Key to Successful Gen AI

Think back just a few years ago when most enterprises were either planning or just getting started on their cloud journeys. The pandemic hit and, virtually overnight, the need to radically change ways of working pushed those cloud journeys into overdrive. Cost-effective adaptability was essential. And the companies that could scale up or scale down quickly were the ones that navigated the pandemic successfully. Migrating to the cloud made that possible.

How Intelligent Business Automation Combines AI and Automation

Enterprises looking to increase productivity and optimize business processes are increasingly turning to artificial intelligence (AI). AI can meet these expectations—but only with the right enabling technology. Intelligent automation at scale across the organization can offer a strategic approach to incorporating AI into complex business processes.

AI in Banking: 5 Impacts Artificial Intelligence Will Have on the Industry by 2025

The potential impact of AI in banking appears boundless. A 2023 McKinsey report found that effectively incorporating generative AI tools into business operations could lead to annual operational savings ranging from $200 billion to $340 billion for the global financial services industry. These cutting-edge technologies can also enhance customer satisfaction, attract more potential customers, and improve employee experience.

Confluent Cloud for Apache Flink | Simple, Serverless Stream Processing

Stream processing plays a critical role in the infrastructure stack for data streaming. Developers can use it to filter, join, aggregate, and transform their data streams on the fly to power real-time applications and streaming data pipelines. Among stream processing frameworks, Apache Flink has emerged as the de facto standard because of its performance and rich feature set. However, self-managing Flink (like self-managing other open source tools like Kafka) can be challenging due to its operational complexity, steep learning curve, and high costs for in-house support.

The Confluent Q1 '24 Launch

The Confluent Q1 ’24 Launch is packed with new features that enable customers to build, connect, and consume intelligent data pipelines seamlessly and securely Our quarterly launches provide a single resource to learn about the accelerating number of new features we’re bringing to Confluent Cloud, our cloud-native data streaming platform.