Atatus

Chennai, India
2014
  |  By Pavithra Parthiban
Datadog and Splunk are both leading tools for monitoring and observability. Each offers a range of features designed to help you understand and manage your data. Datadog provides tools for tracking application performance and analyzing logs in real-time. Splunk, meanwhile, is known for its powerful log analysis and search capabilities. In this post, we will compare Datadog and Splunk on important aspects like APM, log management, search capabilities, and more.
  |  By Pavithra Parthiban
In Prometheus, metric joining allows you to merge metrics to build more detailed and insightful queries using PromQL (Prometheus Query Language). By joining metrics, you can analyse data from different sources together, providing a more comprehensive view of your system's behaviour. This metric joining capability enables you to correlate different metrics effectively, leading to better monitoring and troubleshooting.
  |  By Pavithra Parthiban
Monitoring tools are essential for developers to maintain application performance and quickly resolve issues. Choosing the right one requires understanding how different tools align with your needs and budget. In this blog, I have compared two popular tools, focusing on their strengths, common features, and unique differences. By knowing these aspects, you will be better equipped to select the tool that fits your requirements.
  |  By Pavithra Parthiban
New Relic and AppDynamics are leading monitoring and observability tools for monitoring the performance of your applications and network. Both help you keep track of how well your systems are running, but they do it in different ways. New Relic is a great tool for APM, making it versatile for tracking overall system performance. It also features an easy-to-use interface and strong data visualization.
  |  By Pavithra Parthiban
Docker containers generate logs to monitor their operations, but without a mechanism in place to manage these logs, they can grow indefinitely, leading to excessive disk space consumption and performance degradation. Implementing docker log rotation is crucial to control log file size and quantity, ensuring efficient log management and optimal system performance.
  |  By Pavithra Parthiban
Splunk and Dynatrace are popular monitoring tools widely used by businesses for tracking and monitoring data. Dynatrace is different from Splunk as it provides full-stack observability with AI-driven root cause analysis for applications, infrastructure, and user experience, while Splunk focuses primarily on log management and data analysis. Splunk can also be used for monitoring, including infrastructure monitoring, application performance monitoring, server monitoring, and continuous monitoring.
  |  By Pavithra Parthiban
New Relic and Splunk are two prominent tools in the world of observability and monitoring, each serving distinct purposes. New Relic is used for Application Performance Monitoring (APM), offering a full-stack observability platform. It is important to note that New Relic is not a SIEM tool, its primary focus is performance monitoring. On the other hand, Splunk is used for log management, machine data analytics, and is widely utilized as a SIEM tool.
  |  By Pavithra Parthiban
New Relic and Grafana are leading tools in monitoring and observability, each with distinct use cases. New Relic excels in Application Performance Monitoring (APM), providing detailed insights for application performance. In contrast, Grafana is designed for data visualization and monitoring, allowing users to create customizable dashboards for metrics and logs. This article provides a clear comparison of their features, including application performance monitoring, log management, and dashboards.
  |  By Pavithra Parthiban
When it comes to monitoring and observability, Splunk and Prometheus are two prominent tools with distinct strengths. Splunk excels in enterprise-level security and observability, while Prometheus is known for its efficient handling of time-series data. In this blog, I have compared these two tools, focusing on their unique features, and strengths. Remember, some insights may reflect personal preferences, helping you find the best fit for your specific monitoring needs.
  |  By Pavithra Parthiban
Dynatrace and AppDynamics are two of the most well-known Observability and monitoring tools. Even though they share many features, they have several differences that might make you choose one over the other. Dynatrace is great for comprehensive system performance monitoring. It covers everything from infrastructure and application performance to log management and real user monitoring. AppDynamics, on the other hand, focuses more on application performance and business transactions.

Seamlessly monitor your entire software stack. Gain end-to-end visibility of every business transaction and see how each layer of your software stack affects your customer experience.

Atatus builds performance monitoring infrastructure for every online business. We automate the annoying parts of error tracking and performance monitoring. Atatus supports PHP, Node.js, JavaScript, Angular, React & more frameworks.

Atatus is a SaaS-delivered application performance and error tracking solution, delivering full-stack visibility for all your apps. Our platform is able to dynamically collect millions of performance data points across your applications so you can quickly resolve issues, and improve digital customer experiences. And all of this happens in real time, in production, with cloud or on-premise deployment flexibility.

Get deeper insight into performance issues and crashes affecting your apps using Atatus's performance monitoring and error tracking service. Try it for free.