Debugging and Interacting with Production Applications - MS Online Tech Forum
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Debugging and Interacting with Production Applications - MS Online Tech Forum
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[SLIDE FROM MICROSOFT ONLINE TECH FORUM SESSION] Now that the applications are in the Cloud, developers must find ways to debug and interact with the production applications with minimal impact and maximal efficiency. Azure comes with a full set of tools and utilities that can be used to manage and monitor your applications. In this session, see how streaming logs work to monitor the production application in real time. We also show how Snapshot Debugging can be used to live debug applications.
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Debugging and Interacting with Production Applications - MS Online Tech Forum
- 1. Davide Benvegnu Debugging and Interacting with Production Applications Microsoft Online Tech Forum
- 2. Davide Benvegnu DevOps Architect Azure DevOps Customer Advisory Team • Microsoft Certified Professional • Microsoft Certified Azure Solution Architect Expert • Microsoft MVP in VSALM - 3 years • Microsoft Event Speaker – Gold (2018 and 2019) • MMA fighter
- 3. Why is working with production apps difficult? Frustrations with getting exceptions / logs / data Issues caused by config, data, and scale Acquiring and configuring the tools
- 4. Agenda A single solution with Azure Monitor See inside your production apps with Application Insights Query logs and traces with Log Analytics Debug apps in production with Snapshot Debugging
- 6. Azure Monitor Advanced diagnostics and analytics powered by machine learning capabilities Data Driven Insights Rich ecosystem of popular DevOps, issue management, SIEM, and ITSM tools Workflow Integrations A common platform for all metrics, logs and other monitoring telemetry Unified Monitoring Metrics Log Common Store Full observability for your infrastructure, app and network
- 7. Signals and Sources in Azure Azure Subscriptions Security Center Resource Manager Service Health Azure Resources Network Security Groups Virtual Machines Storage Accounts Guest OS (‘user space’) Linux syslog Windows Perf Counters Application User telemetry Application logs Azure Tenants Azure Active Directory Sources
- 8. Unified Monitoring Metrics Logs Application Container VM Monitoring Solutions Insights Dashboards Views Power BI Workbooks Visualize Metrics Explorer Log Analytics Analyze Alerts Autoscale Respond Event Hubs Ingest & Export APIs Logic Apps Integrate Azure Monitor Custom Sources Application Operating System Azure Resources Azure Subscription Azure Tenant
- 9. Wiring It All Up Metrics Logs Azure Monitor Custom Sources Application Operating System Azure Resources Azure Subscription Azure Tenant Logs & Metrics emitted by Azure Diag. Extensions + Agents Windows + Linux Support Workload Agnostic Application Insights SDK Driven Multi-Language Support For everything else
- 10. Demo Azure Monitor in Existing Resources
- 12. Azure Application Insights Visibility – Get the big picture Insights – Find & fix problems Optimization – Build, measure, learn
- 13. Application Insights Overview Telemetry is collected at each tier: mobile applications, server applications and browser Telemetry arrives in the Application Insights service in the cloud where it is processed & stored Get a 360° view of the application including availability, performance and usage patterns
- 14. Intelligent Application Performance Monitoring (APM)
- 16. App Map to pinpoint Problems
- 17. Correlated tracing across servers
- 19. Log Analytics
- 20. Run analytics queries for investigations, statistics, and root cause + trend analysis Log Analytics advanced query experience now in Azure Portal Utilize ML algorithms for clustering and anomaly detection RBAC per type Azure Monitor Logs
- 21. Using Analytics to Dig Deeper
- 31. In review… Azure Monitor: the solutions for apps in production Application Insights: see “inside” your production apps Log Analytics : powerful log query engine Snapshot Debugging: debug apps in production
- 32. © Copyright Microsoft Corporation. All rights reserved. Thank you
Editor's Notes
- Why is working with production apps usually difficult? There are a number of reasons. It can be difficult to pull logs and data. Tracking sessions is complicated when there are multiple load-balanced instances. Tools may be scattered and hard to find and configure.
- This is an example dashboard. From one place you can (reiterate bullets here).
- This is an overview of how Application Insights works.
- Application insights provides intelligent performance monitoring, looking across the full stack and tracking performance through layers of dependencies.
- All of the data collected by Application Insights can be analyzed using a powerful built-in analytics query language.
- Application Insights automatically provides an application map that is generated based on observed dependencies between components of your application.
- With Application Insights, drilling into a transaction is possible with correlating tracing that maps the entire interaction from the browser down to the database.
- Log analytics provides query capabilities directly from the portal. It can be locked down with role-based security and features built-in algorithms for detecting anomalies and clusters in the data.
- The data provided by log analytics can be displayed as a table or in a variety of different chart formats. You can easily save queries to reuse later.
- Snapshot debugging is a powerful feature that allows you to debug your application in production.
- It is designed to support distributed applications.
- As with other Azure services, it supports role-based access control.
- Debugging locally is straightforward because there is typically one instance of the app running on a single server.
- The cloud complicates things. In production, you have multiple users each accessing your distributed application with instances spanning multiple servers. How do you debug a specific end-to-end experience?
- Snapshot debugging captures the unique callstack for a specific session so you can debug without having to understand which client or server was part of the end-to-end flow that resulted in an exception.