The benefits of API mocking extend beyond just speeding up development. It enables developers to work independently of external APIs, eliminating delays caused by dependencies that may be out of their control. This independence is crucial for maintaining workflow efficiency, especially in complex projects involving multiple APIs. API mocking is invaluable for testing edge cases and error scenarios that might be difficult to reproduce with a live API.

In a recent panel discussion, “Navigating the Convergence of Networks, Clouds, and Generative AI,” hosted by Digital Realty and Console Connect, industry experts shared their views on the challenges associated with AI adoption and its future impact on business operations. The panel featured industry experts from both Digital Realty and Console Connect, alongside Jacky Chan from Votee AI, a multi-stacked AI start-up based in Hong Kong.

According to Gartner, 90% of global organizations will run containerized applications in production by 2027. The need for continuous innovation, performance, and availability is driving this shift to meet customer expectations. Kubernetes plays a crucial role in this transformation. It offers a robust open-source platform for managing containerized applications. Yet, ensuring optimal application performance is only possible with observability.

Stack traces are important for debugging and understanding exceptions in.NET applications. They provide detailed information about the error and the call stack when an exception occurs, allowing us as developers to investigate why an error happened. In this post, I'll walk you through the basics of reading.NET stack traces and explore more advanced scenarios, including how multiple types of stack traces can be combined.

Grafana Cloud is the easiest way to start collecting and visualizing your telemetry data. With the fully managed, cloud-hosted platform, even novice observability practitioners can get up and running right away — and Grafana Cloud integrations are a big reason why. In this blog post, we’ll dive into the details of Grafana Cloud integrations, including what they are, the kinds of insights they provide, and how Grafana Alloy plays a role.

Our thinking and use of topology within AIOps and Observability solutions from Broadcom has advanced significantly in recent years, while solidly building on our innovative domain tools. We’re providing a blog post series to communicate these innovations, advancements, and benefits for IT operations. In this blog post, we continue where the previous blog post left off.

In the fast-evolving chemical industry, maintaining precise control over Chemical reactors like a continuous stirred-tank reactor (CSTRs) is paramount to ensuring optimal performance and product quality. This blog post delves into integrating advanced data tools and techniques to achieve this control. We’ll explore how to leverage InfluxDB, Kafka, and Faust streaming, along with Telegraf, to effectively model and manage a CSTR and its PID controller (Proportional-Integral-Derivative Controller).

Practical tips for monitoring, analyzing, and improving system performance.

Elasticsearch is a distributed search and analytics engine that provides real-time operations and scales Horizontally. This assists users in making quick and effective searches, as well as analyzing, and visualizing huge data volumes. Users commonly commend Elasticsearch for its data indexing and storage capabilities. They highlight its efficiency in indexing text data and its proficiency in managing large data sets for persistence and retrieval.