Fluent Bit is a lightweight, multi-platform tool that can collect, parse, and forward log data from several different sources. Because Fluent Bit has a small memory footprint (~450 KB), it is an ideal solution for collecting logs in environments with limited resources, such as containerized services and embedded Linux systems (e.g., IoT devices).
Vertica is a platform that uses machine learning capabilities to help you analyze large amounts of data. Vertica provides high availability and parallel processing by replicating data onto multiple nodes in a cluster, and uses a column-based data store for efficient querying. You can deploy Vertica in the cloud, on premise, or as a hybrid of the two.
The Java Virtual Machine (JVM) dynamically manages memory for your applications, ensuring that you don’t need to manually allocate and release memory in your code. But anyone who’s ever encountered a java.lang.OutOfMemoryError exception knows that this process can be imperfect—your application could require more memory than the JVM is able to allocate.
Real-time collaboration helps teams resolve issues quickly, which is crucial during outages when you don’t have a minute to lose. If your organization is using DingTalk, Alibaba’s platform for cross-team communication and collaboration, Datadog’s new integration lets you share and discuss annotated graphs on the fly and route alerts to your teams’ group chats so you can start troubleshooting issues without skipping a beat.
Application performance monitoring (APM) dovetails nicely with infrastructure monitoring, allowing you to monitor app performance and end-user satisfaction in context with the rest of your infrastructure. That’s why we unveiled Datadog APM to complement our infrastructure monitoring platform and provide full-stack observability.
Logs provide invaluable information about issues you need to troubleshoot. In some circumstances, that may mean that you have to look back at old logs. For example, you may be running a security audit and need to analyze months-old HTTP request logs for a list of specific IP addresses over a period of time. Or you might need to investigate why a scheduled service never occurred, or run an exhaustive postmortem on incidents that happened over a couple months but that you suspect are related.
When you need to troubleshoot an issue in your Node.js application, logs provide information about the severity of the problem, as well as insights into its root cause. You can use logs to capture stack traces and other types of activity, and trace them back to specific session IDs, user IDs, request endpoints—anything that will help you efficiently monitor your application.
At Datadog, we’ve always been committed to ensuring that our libraries and software that run on your systems are open source. We believe that transparency into how we collect data and integrate with your applications is key for building trust.
