The punch 8th has been released for a few months, and we are now up to deliver the 8.1 version. Here are some news. Punch is a log management and data analytics solution designed using a Function-As-A-Service/Serverless architecture. It is lightweight, modular, and now completely cloud native. In this blog Read more…
Punchplatform periodically collects and stores data characterizing the health of the platform (metrics). It gathers both system metrics (CPU, RAM) and applicative metrics like the tuple travel time through a Storm topology. Since its last version, Punchplatform contains a specific module dedicated to machine learning based on Apache Spark: Punchplatform Read more…
Context While working on a surveillance solution an interesting problem arose: an analysis component had to be built which had to be light, robust and highly adaptative. This component consists of a set of sequential or parallel tasks, each providing a unitary treatment. The solution is built on top of Read more…
The PunchPlatform Machine Learning (PML) sdk lets you design and run arbitrary spark applications on your platform data. Why would you do that ? Punchplatforms process large quantities of data, parsed, normalized then indexed in ElasticSeach in real time. As a result you have powerful search capabilities through Kibana dashboards. Read more…
Introduction For few weeks, the punchplatform team uses a sublimeText plugin to edit punch code (aka punchlet). First, for internal usage, we have decided to provide the plugin with each standalone from Brad 4.0.1. Video Tuturial A 10min video is available to discover the installation and first step with the Read more…
We are happy to announce the Brad punchPlatform 4.0.1 release. Take a look at Brad Release 4.0.0 to (re)discover all Brad features. Download the last standalone at punchplatform-standalone-4.0.1.zip For this release, we have been focused on: Control the platform configuration before the deployment. Improve the correlation & detection capabilities by simplifying the configuration Read more…