Operations | Monitoring | ITSM | DevOps | Cloud

September 2021

AppDynamics vs. Datadog vs. Scout APM

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.

Datadog vs. Grafana: Compare Use Cases and Features

The current big data world allows even tiny IT environments to produce massive amounts of information. After determining how to open up various data generation sources, a business analyzes the information. Here, the analysis method you leverage varies depending on the data, the tools/equipment used, and the use case. A good practice is to visualize the traces, weather logs, data, or metrics.

A Comparison of 6 Airbrake Alternatives for Error Monitoring

We all need an application that can run smoothly, but this is not what we always get. After creating an application and putting it to use, you need to check and know when it faces exceptions/errors. As a result, this explains why the current market features several error tracking tools. Airbrake falls under the top-notch error monitoring tools used for log analysis and log management. However, it’s not without its problems.

AppDynamics vs. Dynatrace vs. Scout | A Side-by-Side Comparison

Choosing the perfect Application Performance Monitoring tool for your business always remains a tricky decision. There are so many options in the market, and each alternative has its own set of features and flaws. Sometimes, the profile of two solutions overlaps, which creates an even bigger grey area around which to opt.