Posted in devops
Posts Tagged ‘version’
A newly rebranded Kong Inc., formerly known as Mashape, this week announced the availability of Kong Enterprise Edition, a version of the companys open-source application programming interface (API) management platform that has been designed from the ground up to support microservices based on containers. Kong Inc. CEO Augusto Marietti says the enterprise edition of Kong differs from the open-source edition in that it scales to support more API calls.
Managing storage in a container environment presents some unique challenges: Not only is there more data being created faster, the number of microservices trying to call the same data increases exponentially. To enable IT organizations to rise to both challenges, Red Hat has updated Red Hat Cloud-Native Storage software to increase the number of applications accessing a storage cluster by a factor of three while also enabling IT organizations, via a technology preview, to make use of the S3 API to store data on an Amazon Web Services (AWS) public cloud.
Devops platform provider Puppet has introduced its Puppet Cloud Discovery service for learning what, exactly, users have running in the cloud and their impact. As Puppet’s first foray into SaaS, the service offers visibility into cloud workloads, providing the same type of introspection as the on-premise Puppet Enterprise platform.
The switch from Python 2 to Python 3 has been rocky, but all signs point to Python 3 pulling firmly into the lead. It’s broadly compatible with several libraries,a major third-party implementation of Python iskeeping pace with version 3, and there’s an encouraging rate of adoption by cloud providers for application support.
Fans of C++ praise its power and speed, but even they admit its complexity can be daunting. That’s true when you’re writing libraries in the language, and it’s doubly true when you want to make C++-authored libraries useful to other languages.
Pythonistas will be happy to hear that new versions of PyPy, the runtime for the Python language that provides just-in-time compilation and a major speed boost, will now support versions 2.7 and 3.5 of Python, including the new language syntax features found in version 3.5. Even more valuable to many developers: New versions of PyPy will have better support for popular packages that use C extensions, such as Numpy, in the Python 2.7-compatible version of the runtime.