Systems | Development | Analytics | API | Testing

Enterprises working in Microsoft Azure need to mask data, and they need to mask it quickly.Yet, it can be difficult to find Azure data masking methods that are both swift and secure. The wrong approach can lead to bottlenecks, compromised analytics quality, and significant regulatory risks.

Orbit Codes is solving how blockchain data is indexed and analyzed within the COSMOS ecosystem. It extracts raw blockchain data, transforms it into a structured PostgreSQL database, and provides easy access through a GraphQL interface. For deeper insights, data is replicated to ClickHouse, enabling advanced analytics on transactions, fees, and trends. Designed for blockchains, not just users, Orbit Codes offers white-label solutions and custom branding to integrate seamlessly into existing ecosystems.

AI-powered code editors are speeding up API development by automating repetitive tasks, improving security, and optimizing performance. Developers now spend 55% less time on API creation, focusing more on design and business logic instead of boilerplate code. These tools reduce errors, generate real-time documentation, and enhance scalability, making API development faster and more efficient.

Smarter Financial Decision-Making With Enterprise Performance Management Connected Solutions.

Hybrid testing is the testing approach which balances manual with automated testing to achieve the best of both worlds. It is effective because software testing by nature requires both the creativity of humans and the automating powers of machines.

AI models are not just about LLMs and generating text. Multimodal vision models—which understand and generate images, videos, and even audio alongside text—are enabling new AI applications. At their core, multimodal vision models combine: There are several different types of multimodal vision models: vision-language models (VLMs) that generate text based on images, vision-reasoning models that answer complex questions based on images, and more.

In our 2024 Data Streaming Report, we surveyed 4,110 IT leaders about the pivotal role that data streaming plays in their businesses. Of the respondents, 91% indicated that data streaming platforms (DSPs) are critical or important for achieving their data-related objectives—a result that comes as no surprise. Most IT teams—from architecture and integration teams to application and data engineers—that are using Confluent’s DSP get it.

Today, we are thrilled to announce our partnership with the Vultr Cloud Alliance. As you may already know, we provide a serverless cloud for developers and businesses to seamlessly deploy AI apps, inference endpoints, and APIs globally across GPUs, CPUs, and accelerators. Vultr provides high-performance cloud infrastructure and offers composable infrastructure that lets you deploy any stack, anywhere, in seconds.

Artificial intelligence is revolutionizing software development, and at NodeSource, we're bringing AI-driven insights to Node.js applications through N|Solid. Our latest AI-powered profiling and diagnostics tools help developers streamline performance analysis, optimize application efficiency, and proactively detect bottlenecks. In this post, we'll dive into how AI enhances observability, simplifies CPU profiling, and generates actionable recommendations that improve performance debugging workflows.