Tag: Virtual Machine

Feed: Microsoft Azure Blog. Author: Mark Russinovich. “Throughout our Advancing Reliability blog series we’ve explained various techniques used by the Azure platform to prevent technical issues from impacting customers’ virtual machines (VMs) or other resources—like host resiliency with Project Tardigrade, cautious safe deployment practices taking advantage of ML-based AIOps insights, as well as predicting and mitigating hardware failures with Project Narya. Despite these efforts, when operating at the scale of Azure we know that there will inevitably be some failures that impact customer resources—so when they do, we strive for transparency in how we communicate to impacted customers. So for ... Read More

Feed: R-bloggers. Author: hrbrmstr. [This article was first published on R – rud.is, 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. Guillaume Pressiat (@GuillaumePressiat) did a solid post & video on using Selenium to scrape a paginated table from understat[.]com/league/EPL/2020 (I just cannot bring myself to provide an active link to any SportsBall site). He does a great job walking folks through acquiring & orchestrating the heavy dependency that is Selenium. I did ... Read More

Feed: Cloudwards. Author: Samson Max; VPN providers offer an extensive network of server locations, but not all are real physical servers. While all VPN servers perform the same function — spoofing your location through a VPN tunnel — sometimes you have to choose between a virtual server vs physical server. VPN services may offer both types, and we’ll discuss the difference between the two to help you choose the right one. Key Takeaways: VPNs can use two types of servers: physical and virtual. Though they function in much the same way to the end user, a virtual servers’ performance can ... Read More

Feed: R-bloggers. Author: JottR on R. [This article was first published on JottR on R, 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. This is a guest post by Chris Paciorek, Department of Statistics, University of California at Berkeley. In this post, I’ll demonstrate that you can easily use the future package in R on a cluster of machines running in the cloud, specifically on a Kubernetes cluster. This allows you to easily ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Bala Mugunthan. By Bala Mugunthan, Sr. Partner Solutions Architect at AWSBy James Wenzel, Sr. Partner Solution Architect, Networking at AWSBy Laura Neacsu, SD-Branch Solution Architect at ArubaBy Kelly Fleshner, Solution Technical Marketing at Aruba Like previous technology transitions, shifting to the “era of data” at the intelligent edge changes the role of the network infrastructure and introduces new challenges. Corporate networks have always played a pivotal role in moving data, low latency applications, and connecting people to their applications and services. However, with the resiliency and global scale of infrastructure as a service ... Read More

Feed: CIO. Author: . IT teams and consultants talk a lot about modernization of IT and have done so for years.First, it focused on virtual machine technologies in the early 2000s. We consolidated and optimized our seas of servers to improve operational benefits. Next, we moved up the stack to thinking of “services” instead of servers with Shared Services organization models. Private clouds, with associated governance and show-back principles to standardize and share a broad pool of IT resources, became the technology enabler.Then the focus deepened to our IT Operating Models to be more service centric in our approach to ... Read More

Feed: Microsoft Azure Blog. Author: Gaurav Chandwani. This post was co-authored by Altaf Tambawala, Principal Program Manager, Azure Today, we are announcing the general availability of Cloud Services (extended support), which is a new Azure Resource Manager (ARM)-based deployment model for Azure Cloud Services. The platform-supported tool for migrating existing cloud services to Cloud Services (extended support) also goes into preview today. Cloud Services (extended support) has the primary benefit of providing regional resiliency along with feature parity with Azure Cloud Services deployed using Azure Service Manager (ASM). It also offers some ARM capabilities such as role-based access and control (RBAC), ... Read More

Feed: Puppet.com Blog RSS Feed. Author: ; Whether you’re a current customer looking to expand across your Windows estate, or thinking of deploying Puppet across your infrastructure for the first time, we hope this blog post — based on real-world customer questions and problems — can help answer some of the questions you may have about Puppet.Q1: Does Puppet run on Windows?A: Absolutely! Over 2.2 million Windows servers across the world are managed with Puppet. Puppet Enterprise (PE) introduced Windows support in 2011, and we have been developing and expanding our Windows capabilities ever since. For the most part, interacting ... Read More

Feed: AWS Architecture Blog. LeasePlan is one of the world’s leading car leasing companies, with 1.9 million vehicles in more than 30 countries. They manage the entire lifecycle of their fleet, from purchase and maintenance to the sale of returned lease cars. Sitecore is a leading content management system in the enterprise market. It allows organizations to combine content authoring capabilities for enterprise-ready websites with marketing automation tools to develop and deliver a personalized web user experience. Sitecore is critical to the LeasePlan ecosystem because it provides content for most of their websites. To serve LeasePlan’s millions of visitors per ... Read More

Feed: Recent Announcements. Amazon Elasticsearch Service now supports automated memory management of Elasticsearch clusters with the new Auto-Tune feature. Auto-Tune is an adaptive resource management system that automatically adjusts Elasticsearch internal settings to handle dynamic workloads, optimizing cluster resources to improve efficiency and performance. With Auto-Tune, you can achieve performance boost in ingestion throughput for log analytics workloads, and reduced tail latencies for search queries.   Elasticsearch runs in a Java virtual machine (JVM), and tuning the memory settings is critical to support large ingest volumes and search workloads. Auto-Tune’s adaptive system identifies the resource bottlenecks affecting the performance of ... Read More