Skylight vs. Serverless360

Skylight functions as a sophisticated profiler tailored for Ruby and Rails applications, converting performance data into actionable insights that allow developers to spend less time troubleshooting and more time enhancing their applications. It classifies endpoints by a metric called "agony," which uniquely combines factors of slowness and usage frequency, helping you pinpoint the areas that will yield the highest returns on your optimization efforts. Through an examination of endpoint graphs, you can precisely identify where slowdowns occur, with the most pronounced bars in these graphs signifying the events that demand your immediate focus. Once you've implemented improvements in your code, redeploying your application is straightforward, with deployment events clearly marked on the overview graph for an easy visual comparison of your adjustments. You have the option to delve into a histogram of response times to uncover rare slowdowns that could skew your overall averages. Furthermore, the tool enables you to compile event sequences based on either time or memory usage, assisting in the detection of potential bottlenecks. This capability allows you to effectively identify your slowest responses, sharpening your attention on the differences between your quickest and slowest responses, which ultimately contributes to a more efficient application. By consistently tracking and optimizing your application, you can guarantee a more seamless user experience and improved performance in the long run, as well as continually adapt to changing user needs and application demands.

This platform is dedicated to the Operations and Support of resources within Microsoft Azure's Serverless ecosystem. It serves as an additional resource to the Azure portal, specifically aimed at enhancing the management of Azure Serverless Applications. However, it's important to note that Service Bus Explorer lacks the capability for automated message processing. It is essential to identify failures, implement automatic corrections, correlate the resubmission of runs, and bridge the gaps present in Azure portals. Application Insights plays a crucial role in identifying and rectifying anomalies within applications. With Event Grid subscriptions, users can efficiently monitor and manage dead-letter messages, as well as access comprehensive monitoring tools. Additionally, the system allows for the simulation of test environments, monitoring of partitions, and verification of active clients. It also facilitates the automatic cleaning of blobs and provides in-depth monitoring of storage account components to assess their state and properties. Furthermore, users can oversee products, endpoints, and operations from various viewpoints, ensuring robust management. Automating the management of API Management (APIM) states enhances operational efficiency. Moreover, Azure Relays, including Hybrid relays, can be monitored and managed alongside analytics tools to gain valuable insights. Finally, it is critical to keep track of the health and performance metrics of Azure Web Apps, which includes monitoring for HTTP errors, CPU utilization, garbage collection activities, and overall CPU performance. This comprehensive approach ensures that all aspects of Azure resources are effectively managed and optimized.