Systems | Development | Analytics | API | Testing

When was the last time you used a chat service and noticed messages arriving out of order? It’s likely that you can’t think of one. Getting messages to arrive in the right order is more or less job number one of a chat service. Sounds simple. But scale this to millions of users across a global network and it becomes a complex distributed computing problem. Even at smaller scales, message ordering isn’t guaranteed once you go beyond a simple, direct connection between two users.

Software applications often perform well during short-term testing but encounter issues during continuous use.

Today, cyber defenders face an unprecedented set of challenges as they work to secure and protect their organizations. In fact, according to the Identity Theft Resource Center (ITRC) Annual Data Breach Report, there were 2,365 cyber attacks in 2023 with more than 300 million victims, and a 72% increase in data breaches since 2021. The constant barrage of increasingly sophisticated cyberattacks has left many professionals feeling overwhelmed and burned out.

If there was a way to make your software testing faster, more accurate, and much less expensive, wouldn’t that be a game changer? That’s exactly what AI test automation is making possible. Traditional testing methods are slow, tedious, and expensive—especially as software gets more complex. Manual testing is time-consuming, brings errors throughout the process, and is a costly proposition. However, these problems can be overcome with AI-powered automation.

ClearML’s end-to-end AI Platform supports AI builders through every stage of the process, from data preparation and management to experimentation, deployment, and performance monitoring. At the heart of ClearML’s data management capabilities is its unique approach to visual data handling, known as Hyper-datasets. We’re sure you know all about the importance of data versioning, but here’s a quick reminder: effective data management is essential for.

Bank statements contain useful financial information that can be turned into important insights. With the era of manual bank statement extraction firmly in the past, intelligent document processing (IDP) and artificial intelligence (AI) offer a better way of processing bank statements and obtaining the valuable data they contain.

In large enterprises, Salesforce Architects play a critical role in ensuring data flows seamlessly into Salesforce from various sources. However, data integration in these complex environments can be challenging, particularly when technical tools like MuleSoft are already in place. While powerful, MuleSoft often requires heavy reliance on development teams, which slows down data projects and creates bottlenecks.

In Kong Gateway 2.0, we released Hybrid Mode, also known as Control Plane/Data Plane separation. With it, our customers could efficiently and securely deploy clusters of Kong Gateway Dataplanes on their on-prem, private, and public clouds in any combination they wanted, and they could control the entire cluster from a single point, the Control Plane. Hybrid Mode became instantly popular with all our customers with large and varied deployments, due to the increased flexibility and ease of management.

In today's hyperconnected world, where negative reviews on social media can wreak havoc on a company’s reputation, delivering an exceptional customer experience isn't just a luxury—it's a business imperative. Companies are locked in a fierce battle for customers that is primarily based on their ability to deliver outstanding customer experiences (CX). According to research by The Conference Board, 65% of CEOs globally prioritize investing in strategies to improve CX.

We are thrilled to introduce our newest feature to Moesif - AI Explain - a powerful conversational tool that lets you interact with your API analytics data like never before. Instead of spending time digging through numerous charts or building complex queries, you can simply ask questions and get meaningful answers in just a few seconds. AI Explain is designed to make analytics accessible to everyone, whether you’re new to working with data or simply want a more efficient way to gain insights.