Would that make a difference? Of course it would!

Application performance monitoring (APM) setup and strategies vary based on the application’s infrastructure design. Containers managed by orchestration tools like Docker Swarm or Kubernetes are dynamic and ephemeral, significantly affecting monitoring strategies. Container development speeds up an organization’s ability to build, deploy and scale new features.

Part two of a series on platform engineering myths, covering how it’s built, what it does, and what it doesn’t do.

In today’s environments, the number of endpoints seems to be endless. Simultaneously, with more advanced bad actors and increasingly complex systems, it is more important than ever that no endpoint goes unmonitored. However, many solutions simply can’t keep up with this growing scale of data collection at the edge.

In today’s interconnected digital landscape, staying on top of market trends is essential for businesses aiming to thrive in the evolving world of observability and security. Recently, Cribl hosted a webinar to shed light on 2024 industry trends, and opportunities and challenges for both end users and vendors.. One of the notable highlights of the webinar is the convergence of observability and security, reflecting the shared data challenges faced by both IT and security teams.

The infrastructure and services running on public cloud computing services like Google Cloud Platform (GCP) and Amazon Web Services (AWS) produce massive volumes of logs every day. An organization’s log data provides details about their entire IT environment in real-time, or at any point in time in history.

Observability is a broad topic that provides visibility into the key metrics powering customer-facing applications. These applications range from external facing applications ( e.g., Internet banking/online education/e-commerce/government records ) to internal facing applications ( e.g., Trading systems by brokers, Logistics controllers, Traffic Management, and Hotel Reservations). Observability also incorporates backend systems powering industries that ensure smooth operations of tools and processes.

Logging is essential in Node.js for tracking errors, monitoring performance, and debugging issues. Traditional node.js logging methods, like using console.log(), are often insufficient due to unstructured, cluttered logs that are hard to read. They lack features like log levels, proper formatting, and efficient storage management. Best practices for logging ensure logs are useful, structured, and manageable. Implementing these best practices is crucial for several reasons.