📄️ CPU Profiling
CPU Profiling allows you to understand where opportunities exist to improve the speed and load capacity of your Node processes.
📄️ Sourcemap Support
Utilizing typescript and/or transpilers with N|Solid makes interpreting CPU profiles difficult unless the user is deeply familiar with the code. The integration of Source Maps provides a translation layer that provides a reference between the compiled source code and source code.
📄 ️ Flamegraph Export
Users can now export NSolid Falamegraphs at the click of a button when viewing a CPU profile. In addition to downloading the CPU profile to visualize it in external tools such as Chrome Dev Tools, users can export the Flamegraph visualization to an SVG format in a few easy steps.
📄️ Filtering and Tagging
Tags
📄️ Heap Snapshots
When faced with a memory leak or performance issue, taking heap snapshots is a great way to help identify the underlying problem. N|Solid provides several ways to capture snapshots: the N|Solid Console, the N|Solid CLI, and the N|Solid Node API.
📄️ Saved Views
A Saved View is a graph defined by a search query. Saved views allow you to view processes that fulfill certain parameters and to instruct N|Solid to take certain actions (such as taking heap snapshots, CPU profiles, or sending webhooks) when one or more processes cross over performance thresholds or match query parameters that you set.
📄️ Integrations
Connecting to Teams, Slack, Webhooks, etc.
📄️ Security Vulnerabilities
The N|Solid Console can be configured to perform periodic verification of all packages loaded by all N|Solid processes. All loaded packages are verified against a list of known vulnerabilities.
📄️ NodeSource Certified Modules v2 (NCM 2)
Using NCM 2 with the Console.
📄️ Import/Export Settings
Users can now export configuration settings using either NSolid Console, the result is a JSON format file which can be used to import settings across different setups.
📄️ Event profiler
N|Solid event profiler provides a rich set of events, covering security events, lifecycle events, system events, performance events, user defined machine learning events and assets events.
📄️ HTTP Tracing
NodeSource has introduced Tracing support, a facility to gather information throughout the lifecycle of an HTTP/DNS/Other request. The collected information can be used for debugging latency issues, service monitoring and more. This is a valuable addition to users for those who are interested in debugging a request latency. Tracing traces user requests through a Node application, collecting data that can help find the cause of latency issues, errors, and other problems.
📄️ OpenTelemetry Support
N|Solid has added support for some OpenTelemetry features:
📄️ CPU Anomaly Detection
In order to correctly identify an anomaly it is important that the detection method be accurate. CPU is no longer enough of a measurement to scale applications. Other factors such as garbage collection, crypto, and other tasks placed in libuv's thread pool can increase the CPU usage in a way that is not indicative of the application's overall health. Even applications that don't use Worker threads are susceptible to this issue.
📄️ Memory Anomaly Detection
Understanding memory management reduces the possibility of wasting your
📄️ Machine Learning
NodeSource has introduced Machine Learning support, this feature allows for the training of models that will later detect similar patterns in your application data and fire custom events.
📄️ Serverless
NodeSource offers Serverless support to collect data during a request in serverless settings. This data aids in debugging latency and other issues, making it ideal for those keen on addressing such problems in a serverless context.