Complete platform configurable by JSON file.
Guaranteed quality, the components are compatible with each other and migrations are facilitated.
A support team dedicated to resolving incidents in production.
The Punchplatform relies on a few simple concepts. Together they enable you to design and run various kinds of processing logics : stream and batch computing, complex event processing, correlation and detection, machine learning algorithms, and more. This short chapter explains these core punchplatform concepts and ideas in details.
Contact the team for all non-support matters at contact@punchplatform.com .
Provide non-resilient treatments on small platforms.
Perform resilient treatments without loss thanks to our highly available solution.
Deploy the platform with managed services from AWS, Azure or GKE.
You have interesting data: radar data, security logs, Iot data, pictures, and you wonder how to best combine archiving and indexing capabilities. To perform efficient queries and benefit from optimal (near) real-time performance, you need Read more…
Dealing With Python Apps The punch story with python is an old one. We implemented an elasticsearch aggregator tool in the Brad release (now deprecated), we also leveraged the elasticsearch curator application that we provide Read more…
Craig Release Latest News This 2019 summer was quite active, and I am happy to share lots of interesting news regarding the current and future punch releases. Before We Start Maybe you are not familiar Read more…
In the end of 2016, we integrated Ceph in Punchplatform. This article gives a feedback and explains what are the major advantages of using a Ceph cluster on a Punchplatform instead of standard storage solutions. Read more…
Tensorflow is a well-known and one of the most popular frameworks used for Deep Learning. It is an open-source library developed by Google and it is extremely useful to solve complex problems which require deep Read more…
Big Data Paris 2019 Workshop Tuesday 12th of March, 14H00 Machine Learning for Critical Systems Damien Fontanes, Dimitri Tombroff Abstract In real-life critical systems and applications, accessing the data to test, tune and run artificial Read more…
