Systems | Development | Analytics | API | Testing

Man-in-the-middle attacks are elegantly mitigated in TLS, with TLS1.3 introducing more robust encryption protocols and a streamlined handshake process that significantly reduces the vulnerability to these types of attacks. By employing stricter encryption standards and eliminating outdated cipher suites, TLS 1.3 enhances security measures to effectively counter potential interception and unauthorised data decryption.

Databricks helps companies process large-scale data, and Databricks data masking ensures high-quality, compliant data. If your organization relies on data for AI/ML or analytics, it’s essential to ensure you are implementing a robust, compliant data masking strategy. Let’s explore how data masking works natively in Databricks. Then, we’ll go over challenges teams might run into in using native masking capabilities.

If you’re declaring one or the other as “better,” you’re missing the point.

In the prior blog, we previewed some of the reasons that we settled on using Anthropic’s Computer Using Agent (CUA) over other alternatives and promised to provide more information as to what and why, with facts and figures. If you haven’t read that blog, check it out here. In this blog, I hope we can bring to light some of the “why” behind our decisions, and what makes our agentic AI so powerful.

Amazon Web Services, or AWS, offers a variety of cloud services ranging from AWS resources such as CDNs and data lakes to cloud computing and transformation services such as compute resources, virtual servers, and dynamic availability zones. For this reason, AWS cloud is one of the most broadly adopted cloud solutions, offering a global network of solutions at generally lower costs compared to on-premises solutions.

This comprehensive guide walks you through integrating the LoadFocus JMeter API Client with Jenkins to create automated, reliable performance testing pipelines that catch issues before they reach production.

In this blog, I’ll walk you through the essential steps and guidance for parsing network protocols. We’ll assume that you’re already running a Layer 4 (L4) proxy to capture packets into a buffer, and you have both the client and destination connection objects readily available. This guide will focus on helping you convert raw network data into meaningful, structured information.

In quality engineering, axioms are foundational truths drawn from years of practice that underpin effective, scalable automation systems.