Data is never just data. There are structured and unstructured data, qualitative and quantitative data. Among these varied types, continuous data stands out as a key player, especially in the quantitative realm. Continuous data, with its infinite possibilities and precision, captures the fluidity of the real world — from the microseconds of a website’s load time to the fluctuating bandwidth usage on a network.

In the dynamic landscape of financial services, data is not just currency; it's the key to innovation and operational excellence. Data is constantly streamlining from devices, logins, transfers, transactions, and much more, and it’s bound to increase with an ongoing reliance on digital channels. This creates a massive opportunity and responsibility for financial institutions, as their customers (and regulators) demand more from banking providers.

Log4j is a logging framework for Java, facilitating the systematic recording of runtime information in software applications. Developed by the Apache Software Foundation, Log4j has become a standard tool in Java development since its inception in 1996. Its primary purpose is to generate log messages that provide insights into the application's execution, aiding developers in debugging, monitoring, and analysing software behaviour.

Now, many teams are incorporating microservices architecture, with this trend only continuing. This allows them to employ their applications across distributed environments. Whilst this is advantageous as it makes it much simpler to build, scale, and deliver it can also become much more challenging to monitor and troubleshoot the components that make up the environment.

Network protocols are necessary for data transmission and networking over different devices. One of the most common protocols is the TCP/IP framework, which builds connections through our internet. In fact, if you check email, watch Netflix, or stream music from Spotify, you’re relying on TCP/IP in the background. In this article, you’ll learn about the TCP/IP protocol layers and how they function.

I'm pleased to announce a new feature that we've been building for over a year: Honeybadger Insights. Insights is our take on logging and performance monitoring, helping application developers gain deeper visibility into what's happening with their applications. It goes beyond application monitoring and responding to exceptions and downtime. Insights lets you drill down into the details and step back to see patterns in your data.

Docker is a platform that makes creating, deploying, and running containerized applications easier. Containerization is a lightweight and portable application deployment technique involving packaging an application and its dependencies inside a container. A container is a standalone, executable software package that includes everything needed to run a piece of software, including the code, runtime, system tools, libraries, and settings.

Microsoft Defender offers everyone comprehensive threat prevention, detection, and response capabilities—from individuals looking to protect their families to the world’s largest enterprises. Microsoft Defender allows IT and Security teams to prevent, detect, and respond to attacks across devices, identities, apps, email, data, workloads, and clouds. Have you ever wondered if you can use Cribl Stream to help manage your Microsoft Defender for Endpoint logs? The answer is Yes (plus benefits)!

Create microservices with gRPC with Spring, and leverage Managed Service for Prometheus and Grafana for monitoring and observability.

At observIQ, we’re constantly shipping new features to help users get the most out of BindPlane. In case you missed it, here’s a roundup of all the BindPlane news, updates, and improvements you should know about.