Delay in showing logs on Application Insights search
Hi, I have created an Application Insights resource in Azure. I have configured my application to send logs(trace data) to Application Insights. The issue that I observed with Application Insights is that whenever my application writes logs to Application Insights, the logs are observed in Application Insights after a certain delay typically(3-4) minutes. The logs are not immediately reflected in Application Insights. This has a huge impact on my further development. When will this issue of Application Insights will get resolved?Making Azure the Best Place to Observe Your Apps with OpenTelemetry
Our goal is to make Azure the most observable cloud. To that end, we are refactoring Azure’s native observability platform to be based on OpenTelemetry, an industry standard for instrumenting applications and transmitting telemetry.Running natural language queries against Log analytics using Semantic function
Unlocking the Power of Log Analytics: Run Natural Language Queries with Semantic Functions! In this blog, we will walk through the process of creating a semantic function-based solution that can accept a string like "please share all sign-in locations?" and generate a KQL (Kusto Query Language) query. This query will be used to retrieve log analytics data from the signin table.Announcing the Public Preview of Code Optimizations
Code Optimizations: A New AI-Based Service for .NET Performance Optimization We are thrilled to announce that Code Optimizations (previously known as Optimization Insights) is now available in public preview! This new AI-based service can identify performance issues and offer recommendations specifically tailored for .NET applications and cloud services. What is Code Optimizations? Code Optimizations is a service within Application Insights that continuously analyzes profiler traces from your application or cloud service and provides insights and recommendations on how to improve its performance. Code Optimizations can help you identify and solve a wide range of performance issues, ranging from incorrect API usages and unnecessary allocations all the way to issues relating to exceptions and concurrency. It can also detect anomalies whenever your application or cloud service exhibits abnormal CPU or Memory behavior. Why should I use Code Optimizations? Code Optimizations can help you optimize the performance of your .NET applications and cloud services by: Saving you time and effort: Instead of manually sifting through gigabytes of profiler data or relying on trial-and-error methods, you can use Code Optimizations to automatically uncover complex performance bugs and get guidance on how to solve them. Improving your user experience: By improving the speed and reliability of your application or cloud service, you can enhance your user satisfaction and retention rates. This can also help you gain a competitive edge over other apps or services in your market. Saving you money: By fixing performance issues early and efficiently, you can reduce the need for scaling out cloud resources or paying for unnecessary compute power. This can help you avoid problems such as cloud sprawling or overspending on your Azure bill. How does Code Optimizations work? Code Optimizations relies on an AI model trained on thousands of traces collected from Microsoft-owned services around the globe. By learning from these traces, the model can glean patterns corresponding to various performance issues seen in .NET applications and learn from the expertise of performance engineers at Microsoft. This enables our AI model to pinpoint with accuracy a wide range of performance issues in your app and provide you with actionable recommendations on how to fix them. Code Optimizations runs at no additional cost to you and is completely offline to the app. It has no impact on your app’s performance. How can I use Code Optimizations? If you are interested in trying out this new service for free during its public preview period, you can access it using the following steps: Sign up for Application Insights if you haven't already. Application Insights is a powerful application performance monitoring (APM) tool that helps you monitor, diagnose, and troubleshoot your apps. Enable profiling for your .NET app or cloud service. Profiling collects detailed information about how your app executes at runtime. Navigate to the Application Insights Performance blade from the left navigation pane under Investigate and select Code Optimizations from the top menu. Click here for the documentation. Click here for information on troubleshooting. Click here for videos on how to set up and use Code Optimizations. Fill out this quick survey if you have any additional issues or questions.How to leverage Azure Monitor to meet functional and non-functional requirements - No.1 overview
Azure Monitor can be used for centralized monitoring and analysis of log data by using Kusto query, thus Azure Monitor allows you to effectively monitor and visualize Azure resources. Azure Arc also empowers Azure Monitor to expand its capability to on-premise and other public clouds. You can monitor every resources across environments, Azure, AWS, GCP, OCI, on-premise and others, with Azure Monitor and Azure Arc, then Azure Monitor minimize your effort to manage all the resources regardless locations or environments. Azure Monitor is a very powerful solution, but customers and partners sometimes have a challenge to map Azure Monitor features to their functional and non-functional requirements. These series articles describe how to use various Azure Monitor features in terms of functional and non-functional requirements. This article answers how to meet the requirements by using Azure Monitor.Identify and solve performance issues faster with App Insights Code Optimizations
The integration of Code Optimizations with Microsoft Copilot for Azure and GitHub Copilot enables seamless integration between operations teams identifying performance bottlenecks in running .NET applications on Azure, and developers remediating them faster on code level in Visual Studio Code.Application Insights Java Profiler April 2023 - Public Preview Update
In October 2022, Microsoft announced the Public Preview feature of the Java Profiler feature. This Java Profiler feature allows Java developers and service owners to gather JDK Flight Recorder (JFR) recordings. A JFR recording is created and stored by Application Insights when the application breaches a user-defined SLA. The recording is then ready for end users to download and inspect using tools like JDK Mission Control. Since the Public Preview launch of the Java Profiler feature, we have added some additional functionality to enhance the end-user experience. Java Profiling feature is enabled by default within the agent. New profiling triggers based on Open Telemetry Spans. Improvements to the discoverability of JFR recordings.
