It happens often that an application, when running on bare metal, performs well. However, after the application is packed into an image, tested on Docker/Podman, then migrated to Kubernetes, performance plummets. With an increasing number of database calls issued by the application, the application response times increase. This common situation is often due to data transfer induced I/O delays.

The world of embedded systems evolves, with devices growing ever more sophisticated and software-centric. In this new landscape, with highly interconnected environments that defy traditional testing and debugging approaches, a reactive, fire-fighting mentality is no longer sufficient. Developers need a proactive strategy to gain continuous visibility into system behaviour—a strategy known as observability-driven development (ODD).

Serverless or event-driven applications can comprise many different distributed components, including serverless compute services such as AWS Lambda and AWS Fargate for Amazon ECS, as well as managed data streams, data stores, workflow orchestration tools, queues, and more. Having full end-to-end visibility into requests as they propagate across all of these parts of your application is crucial to monitoring performance, locating affected up- or downstream services, and troubleshooting issues.

vLLM is a high-performance serving framework for large language models (LLMs). It optimizes token generation and resource management to deliver low-latency, scalable performance for AI-driven applications such as chatbots, virtual assistants, and recommendation systems. By efficiently managing concurrent requests and overlapping tasks, vLLM enables organizations to deploy LLMs in demanding environments with speed and efficiency.

Cloud logging continues to grow in popularity and usage as more organizations transition to storing data in the cloud rather than on-premise storage. This is fueled, in part, due to the numerous advantages that can be gained from cloud logging. For example, cloud logging solutions can scale to increasing data volumes with ease as an organization grows.

Learn the essentials of Django logging, from setup to advanced configurations, and improve your debugging and monitoring skills.

Morgan npm simplifies HTTP request logging in Node.js, making it easier to monitor and debug your applications with customizable formats.

Welcome to our product update blog where we talk about the latest product/feature/release updates from HPE OpsRamp that will enhance your experience with our product. Read on to discover the latest updates.

Cybersecurity is moving fast, and if your security data management strategy can’t keep up with your growth, you’re already behind. Security operations centers (SOCs) today face mountains of data spread across countless tools and platforms. Combine that with evolving cyber threats, and you have an environment that demands a smarter approach to SIEM data management.

Both CNAME and ALIAS records share a common purpose: They map one or multiple domain names (such as those for different departments or regions) to a main target domain. However, their specific uses and functionality differ in various network scenarios. Network administrators need to understand these distinctions to leverage each record type effectively for robust network services. This blog will help you understand the differences between CNAME and ALIAS records and their applications.