Operations | Monitoring | ITSM | DevOps | Cloud

A month and thousands of code lines later, we're here with our monthly product update - Signal #05. We squashed bugs, shipped custom metric dashboard along with improvisations in our frontend. We also got featured by one of the top online analytics magazines as one of the leading Data Observability platforms. 🥳 Let's dive in to see what humans at SigNoz have been up to!

Application Performance Monitoring (APM) tools are a critical component of distributed applications now. But choosing the right APM tool can be tricky. In this article, we go through a list of the top 21 APM tools including open-source APM tools which can help monitor and improve your application performance.

Currently, the world generates an unprecedented amount of data. Research shows that the world generated more data in the last two years than the amount of data produced in the history of the human race. The most critical part of this entails analyzing the generated data and observing trends. It's at this point where tools like Scout APM, Datadog, and AppDynamics become crucial. Working with an unprecedented amount of data means tackling millions/thousands of distinct data points.

Can you imagine trying to keep track of all your prospect- and customer-related activities on a spreadsheet? What about ye olde days of rolodexes (do people still remember what those are?!)? Thank goodness for Salesforce, the Customer Relationship Management (CRM) solution that revolutionized sales, marketing, and customer care - and how we interact with customers in general. Salesforce is a critical component for many businesses.

We are proud to announce the preview release of the Elastic APM iOS agent! This release is intended to elicit feedback from the community, while providing some initial functionality within the Elastic Observability stack and is not intended for production use. Now is your chance to influence the direction of this new iOS agent and let us know what you think on our discussion forum. If you find an issue, or would like to contribute yourself, visit the GitHub repository.

To realize the full potential of APM, many customers are migrating from their existing APM 10.7 clusters to DX APM. In addition, they continue to onboard new applications for monitoring. These efforts require a series of steps, including the configuration of experience views, universes, and DX Operational Intelligence services.

Jaeger is a popular open-source tool used for distributed tracing in a microservice architecture. In a microservice architecture, a user request or transaction can travel across hundreds of services before serving what a user wants. Distributed tracing helps to track the performance of a transaction across multiple services. Before we deep dive into how Jaeger accomplishes distributed tracing for microservices-based architecture, let's take a short detour to understand distributed tracing.

In the realm of monitoring products, proactive monitoring usually means identifying potential issues within IT infrastructure and applications before users notice and complain and initiating actions to avoid the issue from becoming user noticeable and business impacting. Proactive monitoring means a business is continuously searching for signs that indicate a problem is about to happen.