Realtime data is rapidly becoming a standard in many consumer applications. From responsive chat applications to low latency financial applications, nobody wants to refresh their browser for new data. With lots of data bouncing around Kafka behind a firewall, it begs the question of how you can serve this information to your users without sacrificing on latency. Ably provides a seamless way to serve this data to your end users devices, globally, through a direct integration with Confluent Cloud.

In token-based architecture, tokens represent the client’s entitlement to access protected resources. Access tokens (or bearer tokens as they're commonly known) are issued by authorization servers after successful user authentication. The tokens are passed as credentials in the request to the target APIs which inform the API that the bearer of the token is authorized to access the API and perform certain actions.

This blog post unpacks Bitrise's latest updates, including the General Availability launch of Enhanced Xcode Reporting and Build Annotations. Discover how these new features can enhance your building, testing, and debugging processes, providing developers with a more efficient and insightful experience.

The term 'data pipeline' is everywhere in data engineering and analytics, yet its complexity is often understated. As businesses gain large volumes of data, understanding, processing, and leveraging this data has never been more critical. A data pipeline is the architectural backbone that makes data usable, actionable, and valuable. It's the engineering marvel that transforms raw data into insights, driving decisions and strategies that shape the future of enterprises.

Organizations are transforming their industries through the power of data analytics and AI. A recent McKinsey survey finds that 75% expect generative AI (GenAI) to “cause significant or disruptive change in the nature of their industry’s competition in the next three years.” AI enables businesses to launch innovative new products, gain insights into their business, and boost profitability through technologies that help them outperform competitors.

However, the entire change in the development practices has only been triggered considering the extensive need for improving or meeting the end user’s perspective. And the process involves the best of Agile, DevOps testing services, QAOPs, and DevSecOps practices. Talking specifically for DevOps, it not only streamlines development and operations, but helps foster collaboration through enhanced software delivery for added efficiency, quality, and access to automation.

Struggling to keep up with your organization’s hunger for data? That’s an obstacle that many data teams face when their data stack grows and they don’t have complete control over their complex data pipelines. If that’s a challenge you’re looking to solve, you’re in the right place. Below, we’ve curated our list of the best data observability tools every data team should know about.

Of the many things one might take for granted, access to banking and financial services may not immediately come to mind. But as a thought experiment, imagine trying to buy a home or a car without the ability to take out a loan. Try depending on cash payments from your employer, or relying on alternative banking solutions like short-term payday loans, check-cashing services, and prepaid debit cards.

Looking to take the load off your data engineers and IT pros? And help business users create and analyze datasets on their own? You’re in the right place. In this article, we’ll review the best self-service analytics solutions on the market today: We'll look at the main features of each tool, its pros and cons, its best use cases, and user reviews to help you make the right choice. Before we delve into each one, let’s set the tone of what to expect from a good service analytics tool.