Leftovers: OSS and Sharing
-
CNCF Snares Four New Members for Open Source Container Orchestration
The Cloud Native Computing Foundation (CNCF) added four new members to its efforts to develop an open source-based container orchestration platform.
The new members include Tencent Cloud, which joined as a “Gold” member; Mashape, which signed on as a “Silver” member; and Vevo and Zalando Technology, which both joined the organization as “End-User Supporters.”
-
Kubernetes: The smart person's guide
As containers have become more important to businesses across the globe, it was necessary to create a system that would allow containers to scale out to meet the needs of enterprise-level deployments. That's where Kubernetes comes into play.
Unlike Docker, Kubernetes is a very robust ecosystem. Instead of deploying a single container, Kubernetes enables you to deploy multiple containers to multiple hosts, making it ideal for larger deployments and load balancing.
-
How to do time series prediction using RNNs, TensorFlow and Cloud ML Engine
The Estimators API in tf.contrib.learn (See tutorial here) is a very convenient way to get started using TensorFlow. The really cool thing from my perspective about the Estimators API is that using it is a very easy way to create distributed TensorFlow models. Many of the TensorFlow samples that you see floating around on the internets are not distributed — they assume that you will be running the code on a single machine. People start with such code and then are immeasurably saddened to learn that the low-level TensorFlow code doesn’t actually work on their complete dataset. They then have to do lots of work to add distributed training code around the original sample, and who wants to edit somebody else’s code?
-
TensorFlow: I want to like you, but you're tricksy
Occasionally a technology comes along that changes the way that people work. Docker has had a profound effect on how applications are deployed in the cloud, Hadoop changed how analysis of big data was done and the R language has disrupted the statistics market.
And so to TensorFlow, which emerged from the Machine Learning team at the Google Brain project. Building on their experience of a system called DistBelief, TensorFlow is a second-generation framework for the implementation of machine learning at scale.
Users described their ML models as dataflow graphs, combining a number of machine learning techniques into a single model. TensorFlow itself does nothing to reduce the learning curve found in ML (in fact it might make it steeper), but Google's framework does enormously simplify the deployment of ML models. If you think of ML model construction as a data science then TensorFlow is a Data Engineering tool for deployment.
-
Chrome Gets A GPU Service Scheduler
-
Why Quotas are Hard
Lets say we allow the explicit allocation of quota from higher to lower. Does this mean that the parent project is reducing its own quota while creating an explicit quota for the lower project? Or does it mean that both quotas need to be enforced? If the quota for sales is set to 10, and the quota for the three node projects are all set to 10, is this legal or an error?
-
Promoting FreeBSD at Events
-
GNU OrgaDoc Aims To Make It Easy To Copy/Sync Documents Between Computers
But will OrgaDoc serve much of a use in 2017 when for years most multi-computer individuals have probably been using Nextcloud/ownCloud, their own web/FTP servers, or proprietary services like Google Docs and Dropbox to manage files across computers? Do you plan to use OrgaDoc or how do you keep files synced across computers? What about using the Eiffel programming language today? Let us know your thoughts in the forums. Should you want to learn more about GNU OrgaDoc, see the project site.
-
Why we need an open source approach to data management
Open source communities that form around common challenges allow large groups of individuals to gain knowledge on really complicated aspects of their business and industry, expanding communal learning and continually advancing a topic along the way. Open sourcing a framework that enables data management and is supported by a community of information security professionals provides them with the tools and capabilities necessary in today’s cybersecurity environment, including:
-
The curl user survey 2017
If you use curl or libcurl, in any way, shape or form, please consider spending a few minutes of your precious time on this. Your input helps us understand where we are and in which direction we should go next.
- Login or register to post comments
- Printer-friendly version
- 13873 reads
- PDF version
More in Tux Machines
- Highlights
- Front Page
- Latest Headlines
- Archive
- Recent comments
- All-Time Popular Stories
- Hot Topics
- New Members
digiKam 7.7.0 is releasedAfter three months of active maintenance and another bug triage, the digiKam team is proud to present version 7.7.0 of its open source digital photo manager. See below the list of most important features coming with this release. |
Dilution and Misuse of the "Linux" Brand
|
Samsung, Red Hat to Work on Linux Drivers for Future TechThe metaverse is expected to uproot system design as we know it, and Samsung is one of many hardware vendors re-imagining data center infrastructure in preparation for a parallel 3D world. Samsung is working on new memory technologies that provide faster bandwidth inside hardware for data to travel between CPUs, storage and other computing resources. The company also announced it was partnering with Red Hat to ensure these technologies have Linux compatibility. |
today's howtos
|
Recent comments
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago
1 year 11 weeks ago