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What It Looked Like
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Tracing the root cause of a performance issue requires a lot of patience, experience, and focus. It’s so hard that we sometimes attempt to guess by trying out tentative fixes, but that usually results in frustration, messy code, and a considerable waste of time and money. This talk explains how to correctly zoom in on a performance bottleneck using three levels of profiling: distributed tracing, metrics, and method profiling. After we learn to read the JVM profiler output as a flame graph, we explore a series of bottlenecks typical for backend systems, like connection/thread pool starvation, invisible aspects, blocking code, hot CPU methods, lock contention, and Virtual Thread pinning, and we learn to trace them even if they occur in library code you are not familiar with. Attend this talk and prepare for the performance issues that will eventually hit any successful system. About authorWith two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.
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Victor Rentea
Because observability is such a broad topic – and often something we learn on the job – it can feel like there’s too much to learn at once. But you don’t have to tackle everything and can start with the basics and build from there! Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack. No matter what tooling is in place, there are still observability fundamentals that developers should know. That’s why I’ve put together a primer on the different telemetry types, when to use them, how to understand the data journey, and what to look for in time series graphs.
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ScyllaDB
In this session, we will discuss the journey of API governance from its initial, ungoverned state to the development of sophisticated models that tackle contemporary challenges. We'll explore how APIs have become essential in the intersection of business and technology, adapting to advancements and evolving needs. We'll focus on how organizations have moved from launching to monetizing APIs, using models like pay-per-use and subscriptions, and finding the right balance between technical implementation and business strategy. We'll also highlight the impact of governance on monetization strategies, especially how data security, compliance, and service quality influence pricing. Real-world examples will demonstrate the effective integration of governance with monetization, including AI's role in dynamic pricing. Looking ahead, we'll share insights into future trends in API governance and monetization, emphasizing the importance of adaptability, continuous learning, and innovation.
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