Tag: Container

Feed: Microsoft Azure Blog. Author: Siddharth Deekshit. Today’s Q&A post covers an interview between Siddharth Deekshit, Program Manager, Microsoft Azure Site Recovery engineering and Quentin Drion, IT Director of Infrastructure and Operations, MSC. MSC is a global shipping and logistics business, our conversation focused on their organization’s journey with Azure Site Recovery (ASR). To learn more about achieving resilience in Azure, refer to this whitepaper. I wanted to start by understanding the transformation journey that MSC is going through, including consolidating on Azure. Can you talk about how Azure is helping you run your business today? We are a shipping ... Read More

Feed: Puppet.com Blog RSS Feed. Author: ; 2017 was an exciting year for many people managing infrastructure and delivering software — from dealing with WannaCry to experimenting with or investing more in cloud or container infrastructure, and adopting DevOps practices.And it was a great year for Puppet and organizations using Puppet, thanks in no small part to many of you.But what will 2018 hold? Here are our predictions"In 2018 I think we are going to see more distributed systems and applications, leading us to smaller units of applications. Container workloads will be the norm in production with Kubernetes reaching the ... Read More

Feed: Puppet.com Blog RSS Feed. Author: ; Two new Puppet Supported modules make it possible to install, start managing, and deploy applications to a Kubernetes cluster in about 15 minutes.The modules –– puppetlabs/kubernetes and puppetlabs/helm –– turn the often harrowing job of deploying Kubernetes, an open source system for automating deployment, scaling, and management of containerized applications, into a straightforward task. Anyone beginning or continuing a container or microservice environment can use the modules with Puppet or Puppet Enterprise 2015.2 and above.Supported Puppet modules are rigorously tested with Puppet Enterprise, maintained for the same lifecycle as Puppet Enterprise, and are ... Read More

Feed: Recent Announcements. The AWS Deep Learning Containers are available today with bug fixes to the SageMaker integration with Tensorflow Server and the latest version of SageMaker Debugger. You can launch the new versions of Deep Learning Container on Amazon SageMaker, Amazon Elastic Kubernetes Service (Amazon EKS), self-managed Kubernetes on Amazon EC2, and Amazon Elastic Container Service (Amazon ECS). For a complete list of frameworks and versions supported by the AWS Deep Learning Containers, see release notes.  ... Read More

Author: joeleslie. At NuoDB, we’ve not only been working hard to improve upon on our distributed SQL database engine, but also to make it easier to adopt NuoDB into CI/CD pipelines. NuoDB is a ANSI standard and ACID compliant SQL database that is suitable for all common deployment models, such as bare-metal, virtual machines, cloud and hybrid-cloud, and most recently container-based environments, such as Red Hat OpenShift Container Platform. At its core, NuoDB is designed to be highly scalable and fault-tolerant with the ability to load-balance across a distributed architecture.If you would like to try NuoDB’s Community Edition (CE) in Docker, ... Read More

Author: . At NuoDB, we’ve not only been working hard to improve upon on our distributed SQL database engine, but also to make it easier to adopt NuoDB into CI/CD pipelines. NuoDB is a ANSI standard and ACID compliant SQL database that is suitable for all common deployment models, such as bare-metal, virtual machines, cloud and hybrid-cloud, and most recently container-based environments, such as Red Hat OpenShift Container Platform. At its core, NuoDB is designed to be highly scalable and fault-tolerant with the ability to load-balance across a distributed architecture.If you would like to try NuoDB’s Community Edition (CE) in Docker, ... Read More

Feed: Puppet.com Blog RSS Feed. Author: ; If you’re new to Puppet Tasks™, here’s a quick primer. Puppet Tasks complements Puppet’s model-driven approach to automation by adding the ability to easily execute ad hoc tasks in an declarative way — doing exactly what you want, when you want it. The goal is to make it simple for you to do things like troubleshoot systems and devices, deploy point-in-time changes, and execute commands in an ordered fashion as part of an application deployment workflow.Puppet Tasks is available two ways: Bolt, an agentless open source task runner that can can run ad ... Read More

Feed: Puppet.com Blog RSS Feed. Author: ; Our mission at Puppet is to empower people through software, and by “people” we mean “IT professionals whose job is to deliver applications and services to internal and external end-users.” The users of our software work at over 37,000 organizations worldwide, and have traditionally had titles like sysadmin or operations engineer. But this has been changing: Over the last few years, we’ve seen a transition in how organizations deliver applications and services, moving from functional teams (Development, QA, and Operations) with a linear software delivery lifecycle, into cross-functional teams that rapidly iterate to ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Igor Bobriakov. Kubernetes is a technology that allows us to isolate an application. That is good but how can we scale this? Of course, we should create new containers. But, how many containers should we have at the same time? How many servers should be involved? Who will monitor all nodes to balance loading and redirect queries to less loaded nodes? Also, how can we update our app without stopping? The answer is Kubernetes. What is Kubernetes? Kubernetes is an open-source container-orchestration system for automating application deployment, scaling, and management. It ... Read More

Feed: R-bloggers. Author: Stephan Emmer. [This article was first published on r-bloggers | STATWORX, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Data operations is an increasingly important part of data science because it enables companies to feed large business data back into production effectively. We at STATWORX, therefore, operationalize our models and algorithms by translating them into Application Programming Interfaces (APIs). Representational State Transfer (REST) APIs are well suited to be implemented ... Read More