Systems | Development | Analytics | API | Testing

Modern data systems demand flexibility, tool interoperability, and strong data integrity. Legacy formats often create barriers with rigid schemas, inefficient partitioning, and weak transactional guarantees. Apache Iceberg overcomes these limitations with a modular design that decouples metadata from data storage, enabling smooth-schema changes, efficient query pruning, and ACID compliance across engines. This article explores Iceberg’s technical foundations.

Boomi, previously known as Dell Boomi, is a well-known software provider for enterprise integration. It manages all the information and data that needs to flow between different companies, systems, and applications. Boomi products are designed to offer the best possible performance with the lowest possible latency. However, not everyone can afford or has room in their budget for this particular product.

If your startup is planning to build an app, you're going to need an Application Programming Interface, better known as an "API." The role of an API is to give your app a set of directions so it can get all the information it needs to interact with your business. APIs are extremely valuable, but they can also be difficult to navigate. Here's a look at the 10 best APIs for start-ups that will ensure your business has the fundamental technology needed to be successful in 2025.

Many businesses are on the lookout for robust alternatives to popular tools like CDATA. Whether it's due to cost, specific functionality, or compatibility requirements, finding the right tool can significantly impact your data management strategies. Here’s what you need to consider when looking for a CDATA alternative.

According to insights from Saas Academy, 99% of companies today use at least one SaaS solution. Pricing models and strategies affect your success more than anything. Therefore, with the SaaS market booming, choosing the right pricing model for your product has become indispensable. In this blog post, we’ll explore the best SaaS pricing models and discuss effective pricing strategies. We’ll also analyze real-world examples from industry leaders.

As AI technologies continue to revolutionize industries, organizations must balance innovation with responsibility. Kong understands that embracing AI involves not just adopting new tools but also ensuring they're secure, compliant, and sustainable. During a recent visit to Singapore, Kong's Co-Founder and CTO Marco Palladino highlighted the critical need for a robust governance framework to manage the rapid pace of AI innovation responsibly.

Three seconds. That’s how long it takes for over half of your users to abandon your site if it doesn’t load. One extra second of lag? Say goodbye to 20% of your conversions. Your customers are one bad experience away from leaving – and they won’t hesitate to switch to your competitors. Whether it’s a sluggish app, a confusing interface, or a glitch in the checkout process, digital frustration comes at a steep cost.

Tracing TLS (Transport Layer Security) traffic is crucial for modern observability systems. It helps monitor encrypted communication, diagnose issues, and optimize application performance. However, traditional methods like TLS proxying and packet capturing often come with significant performance overheads and security risks. They are not always the ideal solution, particularly for high-performance or security-sensitive environments.

Real user monitoring (RUM) is a type of application performance monitoring that provides insights on how people interact with your app. With RUM, you can see what your users see by monitoring key elements of their experience within your application. There’s lots of industry buzz about observability, but for good reason. RUM is a critical part of digital experience monitoring because it’s incredibly valuable to understand user behavior and preferences.

Hello, and welcome to part two of the BugSnag Beginners Series! We will cover the error details page and how it can be used to maximize error debugging in your BugSnag Dashboard. We’ll start by going over how error details heading information is organized, followed by what different pivots mean, how the status box works, where to find diagnostic data, and lastly how to create custom filters using your error’s metadata.