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As the volume of machine-generated data continues to grow, organizations require effective tools to collect, process, and analyze this data in real-time. Logstash is a powerful open-source data collection and processing tool that serves as a core component of the Elastic Stack. It enables organizations to ingest, parse, and transform data from a variety of Read More
Managing and analyzing data efficiently is vital in today’s data-driven environment, where logs, metrics, and events from systems and applications are constantly generated. The Elastic Stack, formerly known as the ELK Stack, is a suite of open-source tools designed to help organizations collect, process, store, analyze, and visualize large volumes of data in real-time. It Read More
In today’s complex IT environments, managing and resolving incidents quickly is critical for maintaining service reliability and reducing downtime. Moogsoft is a leading AIOps (Artificial Intelligence for IT Operations) platform that helps organizations streamline incident management, reduce alert noise, and ensure proactive issue resolution. By leveraging AI and machine learning, Moogsoft provides actionable insights and Read More
Source – https://searchapparchitecture.techtarget.com/ We examine how monitoring and observability help development teams keep a distributed architecture from coming unraveled by individual failures and performance bottlenecks. Failure is rarely predictable, and detecting the exact cause of complex application errors post-deployment is excruciatingly difficult. Even the most experienced development teams struggle to prepare for all the possible Read More
Source: computerweekly.com But the Oracle of this decade (and recent history) is more specifically all about data and information observability, autonomous control, analytics, diagnostics and we might just pepper in a double observability for good measure i.e. this is a company on a mission to cut through the risk of fragmented observance across what are Read More
Source: itnews.com.au Australia Post’s adoption of microservices and cloud via a digital transformation allowed it to move faster, but also created a complex environment of interdependencies and a need to establish “observability” across that. When Post kicked off its digital transformation in 2013, the overarching goal was speed. “Our time to market was incredibly slow Read More
