StrongLoop Releases StrongOps 2.0 DevOps Service for Node.js

Date 2014/4/15 7:10:53 | Topic: Product News

StrongLoop has announced the general availability of StrongOps 2.0, the first Node.js specific application lifecycle management (ALM) solution to include both monitoring and DevOps capabilities for Linux, Windows and Mac. Node.js continues to gain popularity for the creation "front edge" APIs that mobile applications use to connect to backend data, enabling true enterprise mobility.
StrongOps makes it possible for developers and operations teams to troubleshoot performance and runtime problems through the development, test and production stages of their Node application lifecycle. This latest release makes StrongOps the most comprehensive DevOps dashboard for Node.js. StrongOps pushes beyond the standard application performance monitoring (APM) features that other vendors offer for Node apps by offering a number of first-time features such as run-time debugging, process and cluster management, memory leak analysis, error tracing, profiling and performance monitoring, all in a single dashboard.

"StrongOps allows us to profile our application in real time. We can see and analyze our slow end points, monitor our heap and CPU usage. It is particularly valuable in load testing and production monitoring, allowing us to catch performance problems before they overwhelm us," said Rick Waugh of Finger Foods Studios. "I cannot see going into production without a profiling solution like StrongOps in place."

StrongOps helps companies that are running Node in production achieve maximum performance and uptime. Organizations that have already deployed Node into production have quickly realized that the current tool-chains for Node are either immature or non-existent. Some of the existing tooling in this space doesn't run on Linux or Windows, or if it does, requires complicated workarounds to function.

What's New in StrongOps:
* Cluster management to scale on demand with no application restarts
* Management of Node process to control downtime and hot deployments
* Improved CPU profiling and GC stats to better optimize code
* Memory profiling and heap dumps to identify memory leaks and code hotspots
* Error reporting that does away with painful log scraping and error counting
* Secured monitoring with encrypted performance data sent across firewalls
* Alerts and notifications of problems as they happen




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