Imagine a user waiting several seconds for an app to load due to slow API responses. Frustration builds, user retention plummets, and scaling becomes a nightmare. API performance is a critical determinant of user experience and system reliability. Fast APIs ensure seamless interactions and support scalability. Among the strategies to enhance API speed, caching stands out as a powerful, cost-efficient approach.

When you want to expand your QA testing capabilities or resources, Testlio can recruit QA specialists from their large “crowd” of QA personnel. Testlio also provides a platform to manage your tests, test runs, and results. If you’re considering a platform-enabled QA service like Testlio, there are a handful of other noteworthy providers you should know. We’ll cover them in this piece.

In 2025, the financial services industry will undergo a seismic shift. We’ll see: Imagine near-perfect AI-driven document data extraction. Agentic AI that brings together automation technologies and human intelligence. Flexible data fabric networks that make faster data-driven insights possible without the burden of costly consolidation. For financial leaders, this will be a year of bold moves and transformative strategies.

To improve processes, businesses need both qualitative and quantitative data. Too many companies rely on qualitative data alone, using anecdotal evidence and intuition. But without seeing the numbers, how can you know if you’re meeting key performance indicators (KPIs)? How can you know for sure that your real-world operational processes are setting you up to meet your goals?

More than 80% of developers and business leaders say AI investments have already created the opportunity for new products or services, according to Kong’s 2024 API Impact Report. Clearly, AI has proven its value and place in the enterprise, but with new innovations come new potential vulnerabilities. But as organizations push forward into and navigate the rising risk of AI-enhanced threats and the adoption of AI tools and large language models (LLMs), what have tech leaders experienced?

The Resources.NotFoundException is Android's way of saying "Hey, you told me to grab something, but it's not where you said it would be!" This error typically shows up when you're trying to access strings, layouts, drawables, or other resources that Android can't locate in your app's resource files. Maybe they were renamed, deleted, or never existed in the first place. Or perhaps they're hiding in the wrong folder.

Logistics industry has to deal with data from multiple sources including bills of lading, customs declaration forms, proofs of delivery, and others. Then they have to ensure the data is prepped, extracted, parsed, converted to the right format and then analyzed. Given how important logistics is in today’s market, it is no wonder that McKinsey Global Supply Chain Leader Survey 2024 reported 74% of respondents were interested in advanced digital and AI-based tools for planning and scheduling.

In part one of this series, we managed distributed state using GenServers. This provided a foundation for understanding some core concepts in distributed Phoenix applications. Now, we turn our focus to deployment and scaling strategies. As your application evolves to meet growing demands, knowing how to scale horizontally, maintain high availability, and monitor distributed components becomes crucial.

At Confluent, we’re committed to building the world's leading data streaming platform that gives you the ability to stream, connect, process, and govern all your data, and makes it available wherever it’s needed, however it’s needed, in real time. Today, we're excited to announce the release of Confluent Platform 7.8. This release builds upon Apache Kafka 3.8, reinforcing our core capabilities as a data streaming platform.

We are seeing businesses across industries engage with large-scale projects needing a talent pool experienced in AI, cloud, IoT, or other emerging technologies. However, the fluctuating nature of these projects requires a flexible workforce, which can only naturally comprise part-time hires. This is why we see a steady investment in the staff augmentation market. The 2023 evaluation for the IT staff augmentation market was approximately USD 300 billion in the recent market reports.