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Harness automation and AI to simplify observability on OpenShift at scale. Technology Dynatrace provides comprehensive monitoring solutions for Red Hat OpenShift, leveraging AI and automation to accelerate application workload adoption. The platform offers real-time auto-discovery and OneAgent injection for Docker and CRI-O containers without code changes. This ensures seamless monitoring of OpenS
この図は、Gartnerが発行したリサーチ文書の一部であり、文書全体と関連して評価する必要があります。Gartnerの資料は、Dynatraceまでお問い合わせいただければご提供します。2010年から2014年まで、DynatraceはCompuwareとして評価されています。
Understanding Garbage Collection and hunting Memory Leaks in Node.js Whenever there is bad press coverage of Node.js, it is (typically) related to performance problems. This does not mean that Node.js is more prone to problems than other technologies – the user must simply be aware of certain things about how Node.js works. While this technology has a rather flat learning curve, the machinery that
Container monitoring is the process of collecting metrics, traces, logs, and other observability data to improve the health and performance of containerized applications. Monitoring Docker containers is inherently challenging due to their highly dynamic nature. Having real-time insights and actionable answers on how to remedy anomalies helps DevOps and container platform teams automate container o
Java Memory Management, with its built-in garbage collection, is one of the language's finest achievements. It allows developers to create new objects without worrying explicitly about memory allocation and deallocation, because the garbage collector automatically reclaims memory for reuse. This enables faster development with less boilerplate code, while eliminating memory leaks and other memory-
Transform complexity into your greatest asset with the leader in AI-powered observability.
Top 10 Performance Problems taken from Zappos, Monster, Thomson and Co For a recent edition of the Swiss Computerworld Magazine we listed our Top 10 Performance Problems as we have seen them over the years when working with our clients. I hope this list is enlightening – and I’ve included follow-up links to the blogs to help better understand how to solve these problems: #1: Too Many Database Call
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Performance is a topic of increasing importance for anyone who uses applications to support their business activities. Today performance engineers and architects as well as operations people have to ensure that complex application landscapes work seamlessly and problems are resolved fast and with minimal effort. This book contains over 70 years of application performance knowledge. We, the authors
The State of Observability 2025: Business impact, key trends, and a 90-day plan for decision-makers
Proactively test and monitor the availability and performance of your application frontends, APIs, and services worldwide, with instant alerts to fix issues before users are impacted.
Deliver flawless digital experiences and drive business results with AI-driven, automated, frontend-to-backend digital experience monitoring.
Optimize mobile applications to drive customer engagement and retention through mobile application monitoring that delivers end-to-end visibility, detailed mobile analytics and actionable insights into user experiences.
Turn data into decisions and autonomous actions that drive your business forward with the AI-powered observability leader.
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