Category: Monitoring and observability

Introducing the Cloud Intelligence Dashboard for Azure. Enhance cloud cost monitoring with Amazon QuickSight by integrating Microsoft Azure usage data.

Building a well-architected .NET application goes beyond just coding and deploying. You must monitor performance, trace transactions, collect logs, gather metrics, and trigger alarms when metrics breach thresholds. To achieve this, you can design and implement telemetry to enable observability capabilities. In the first part of this blog series, I covered the implementation of metrics. […]

Building a well-architected .NET application goes beyond just coding and deploying. You must monitor performance, trace transactions, collect logs, gather metrics, and trigger alarms when metrics breach thresholds. To achieve this, you can design and implement telemetry to enable observability capabilities. In the first post of the series, I covered the implementation of metrics, and […]

Building a well-architected .NET application goes beyond just coding and deploying. You must monitor performance, trace transactions, collect logs, gather metrics, and trigger alarms when metrics breach thresholds. To achieve this, you can design and implement telemetry to enable observability capabilities. This post is the first in a series of three posts in which I […]

Amazon CloudWatch Application Insights helps you monitor your applications and AWS infrastructure running those applications by providing easy monitoring setup and a holistic view into the health of your applications. You begin with CloudWatch Application Insights discovering the applications in your AWS Resource Groups or account. Then, it will identify and set up metrics, logs, […]

Many Windows-based applications are .NET applications. They use SQL Server in the backend to retrieve and persist data. Often in the journey to the cloud, a rehost decision is made for such a solution using a simple lift-and-shift approach. When such applications are hosted on the Amazon Elastic Compute Cloud (Amazon EC2) Windows platform, native […]

Aspect-oriented programming (AOP) is an approach that enhances modularity by allowing developers to pull out cross-cutting concerns. AOP does so by adding attribute (advice) to the existing code without modifying the code itself. Classic examples of these cross-cutting concerns include caching, logging, monitoring, and, in our case, AWS X-Ray tracing. With AOP, tracing a call […]

By Thomas Sobolik – Technical Content Writer at Datadog       Maxim Brown – Team Lead, Technical Content Editor at Datadog       Charlie Shen – Sr. Partner Solutions Architect at AWS Modernization of .NET applications is often a meticulous process, and it benefits greatly by having full visibility into the applications’ behavior. Datadog, […]