If you’re a systems engineer, SRE, or just someone with a love for tech buzzwords, you’ve likely heard about “data lakes”. Before we dive deep into this concept, let’s debunk the illusion: there aren’t any floaties or actual lakes involved! Instead, imagine a vast reservoir where you store loads and loads of raw data in its natural format. Now, pair this with the idea of observability and telemetry pipelines, and we have ourselves an engaging topic.

In this age of complex software systems, code instrumentation patterns define specific approaches to debugging various anomalies in business logic. These approaches offer more options beyond the built-in debuggers to improve developer productivity, ultimately creating a positive impact on the software’s commercial performance. In this post, let’s examine the various code instrumentation patterns for Node.js.

Jaeger, a renowned distributed tracing system, has been a trusted companion for developers and operations teams seeking to unravel the complexities of microservices architectures. However, as the landscape continues to evolve, the time has come to explore Jaeger alternatives that offer distinct features and advantages.

Observability has traditionally been conceptualized in terms of three core facets: logs, metrics, and traces. For years, these elements have been seen as the “pillars” of observability, serving as the foundational components for system monitoring and delivering key insights to improve system performance. However, with the exponential growth in system complexity, a more comprehensive and unified perspective on observability has become necessary.

As we navigate our fast-paced digital era, organizations across various industries are in constant pursuit of strategies for efficient monitoring, performance tuning, and continuous improvement of their services. Elastic® and Kyndryl have come together to offer a solution for Mainframe Observability, engineered with an emphasis on organizations that are heavily reliant on mainframes, including the financial services industry (FSI), healthcare, retail, and manufacturing sectors.

Observability vs Telemetry vs Monitoring - What they are, differences and what lies in future.

A robust observability strategy forms the backbone of a successful cloud environment. By understanding cloud observability and its benefits, businesses gain the ability to closely monitor and comprehend the health and performance of various systems, applications, and services in use. This becomes particularly critical in the context of cloud computing. The resources and services are hosted in the cloud and accessed through different tools and interfaces.

While the growth trajectory for data in general is extraordinary, it is the growth of log files that really stand out. As the heartbeat of digital enterprise, these files contain a remarkable amount of intelligence – across a stunning range, from security to customer behavior to operational performance. The growth of log files, however, presents particular challenges for the enterprise. They are not “readable” per se, they require machine intelligence.