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Artigos de David Hope

Director, Observability and AIOps Solutions, Elastic

David Hope is a dedicated IT professional with over 16 years of diverse experience spanning from development, DevOps, leadership, sales, and product marketing. David currently lives in the USA with his family and moved here eight years ago from the UK after meeting his wife in Buffalo, NY.

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The power of effective log management in software development and operations

This blog explains the importance of log management, best practices, and tools for managing logs efficiently. From identifying errors to troubleshooting issues, learn how to leverage log management for enhanced performance and streamlined operations.

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Manual instrumentation of .NET applications with OpenTelemetry

In this blog, we will look at how to manually instrument your .NET applications using OpenTelemetry, which provides a set of APIs, libraries, and agents to capture distributed traces and metrics from your application. You can analyze them in Elastic.

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Manual instrumentation of Java applications with OpenTelemetry

OpenTelemetry provides an observability framework for cloud-native software, allowing us to trace, monitor, and debug applications seamlessly. In this post, we'll explore how to manually instrument a Java application using OpenTelemetry.

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Auto-instrumentation of Java applications with OpenTelemetry

Instrumenting Java applications with OpenTelemetry provides insights into application performance, dependencies, and errors. We'll show you how to automatically instrument a Java application using Docker, with no changes to your application code.

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Auto-instrumentation of .NET applications with OpenTelemetry

OpenTelemetry provides an observability framework for cloud-native software, allowing us to trace, monitor, and debug applications seamlessly. In this post, we'll explore how to automatically instrument a .NET application using OpenTelemetry.

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Understanding APM: How to add extensions to the OpenTelemetry Java Agent

This blog post provides a comprehensive guide for Site Reliability Engineers (SREs) and IT Operations to gain visibility and traceability into applications, especially those written with non-standard frameworks or without access to the source code.

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Logs: Understanding TLS errors with ESRE and generative AI

This blog presents a novel application of the Elasticsearch Relevance Engine (ESRE) with its Elastic Learned Sparse Encoder capability, specifically in log analysis.

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Gaining new perspectives beyond logging: An introduction to application performance monitoring

Change is on the horizon for the world of logging. In this post, we’ll outline a recommended journey for moving from just logging to a fully integrated solution with logs, traces, and APM.

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Adding free and open Elastic APM as part of your Elastic Observability deployment

Learn how to gather application trace data and store it alongside the logs and metrics from your applications and infrastructure with Elastic Observability and Elastic APM.