Cohesity, a leader of hyperconverged secondary storage, today announced that it has achieved Amazon Web Services (AWS) Storage Competency status for its cloud storage solutions. This recognition certifies that Cohesity has not only met strict technical proficiency requirements identified by AWS, but is also delivering integrated storage solutions with remarkable customer success.

Cohesity DataPlatform supports AWS, empowering enterprises to take advantage of the agility, scalability, and cost effectiveness of AWS while benefitting from a hyperconverged solution that consolidates secondary apps and data – including backup, long-term archival, test/dev, and disaster recovery. This allows organizations to eliminate a vast array of data silos that are highly inefficient and costly to manage, and instead bring everything together in a single interface that is simple to use, highly efficient, and can unlock new opportunities to extract valuable insights from untapped data.

  

It’s official – Zenoss Cloud, the new SaaS-based intelligent IT operations management platform designed for hybrid IT infrastructures and built on Google Cloud Platform – is now available.  

Discover how Zenoss Cloud leverages the most powerful machine learning and real-time analytics of streaming data to give you the ability to more effectively scale and adapt to the changing needs of your business.

WHEN?  Tuesday, August 21, 2018 @ 11:00 AM Central Daylight Time

During this webinar, product marketing manager, Anirban Chatterjee, and Kent Erickson, Zenoss Cloud product manager, will share Zenoss Cloud’s new key features, including:

• Smart View – troubleshooting technology with a brand new user interface and collaboration features
• Streaming and ad hoc metric collection – leveraging open-source agents
• Massive scalability to handle the largest enterprise, service provider and IoT use cases with industry-leading security for your data
• Container support for Kubernetes and Docker
• AI-guided anomaly detection using machine learning
• Cloud monitoring of all major public and private cloud platforms (AWS, Azure, Google, OpenStack)
• Extensive and comprehensive coverage for all major server, network, storage and virtualization technologies

Sign up to watch Zenoss Cloud in action.

Article Written by Avery Phillips

Thanks to big data, the cloud, and the ever-advancing march of technology, the face of healthcare is changing. With that comes the need for additional staff trained in how to use technology to its fullest in order to better serve patients. From treating chronic diseases through research, management, and prevention, to trying to combat SIDS in infants, let’s look at at what these new careers do, and how they use the cloud to do their job.

Open infrastructure builders and users from a diverse swath of industries and open source technologies will meet in Berlin November 13-15 at the OpenStack Summit where they will share their work on integration of open infrastructure technologies and offer an inside look at their deployments and use cases. The agenda for the event is now live and features 100+ sessions addressing more than 35 open source projects, including new projects hosted at the OpenStack Foundation: Kata Containers, Zuul, Airship and StarlingX.

The Summit agenda is organized into nine tracks covering open infrastructure use cases including container infrastructure, private and hybrid cloud, continuous integration/continuous development (CI/CD), edge computing, artificial intelligence (AI) and NFV.

Sessions and topics of note include:

AVANT partners will now be able to sell Green Cloud’s IaaS (Infrastructure-as-a-Service), VMware powered DaaS (Desktop as a Service), DRaaS (Disaster Recovery as a Service) and Veeam Powered BaaS (Backup-as-a-Service). Green Cloud is one of the largest independent channel-only cloud IaaS providers in the country, with data centers in Atlanta, GA, Greenville, SC, Houston, TX, Minneapolis, MN, Nashville, TN and Phoenix, AZ.

Enterprises are continually seeking new economic models for IT practices, including public cloud leverage. However, due to data volume constraints created by on-premises to cloud communications, few large organizations embrace cloud-based DR due to bandwidth/latency limitations or costs. This is especially the case when using primary infrastructure replication. While modern backup products claim reduced bandwidth and cloud DR storage costs, backups are intrusive, and their restore points are typically too far apart for DR SLAs. Above either, DR orchestration software requires ongoing multi-vendor compatibility and software maintenance, leading to complexity and frequent failures in DR tests.

BAE Systems announced a new strategic partnership with Flexera to help government agencies moving to the cloud better manage their software licenses and more accurately plan and budget for their future information technology (IT) needs.

Under the partnership, BAE Systems, a company with unparalleled experience managing the cloud complexities that arise during cloud migrations, will integrate Flexera’s leading asset and license management tools into its scalable, hybrid cloud environment for government. The federated secure cloud, developed by BAE Systems and Dell EMC, is designed from the ground up to meet mission needs and security requirements for any U.S. Intelligence Community, Department of Defense (DoD), or federal/civilian government organization.

"Application containers and Kubernetes are two relatively new technologies used to improve efficiency of creating and deploying applications in an enterprise environment. Even users who are comfortable with application containers may not understand how Kubernetes can ease their transition into using application containers on a production environment," said Suzanne Ferry, vice president, global training and enablement, MapR Technologies.  "This course explains how Kubernetes enhances application containers and makes them a viable solution for deployment on an enterprise level."

Portworx, the cloud native storage company modern enterprises trust to manage data in containers, today announced that Amazon Elastic Container Service (ECS) has integrated with its flagship product PX-Enterprise, enabling mission critical stateful workloads to run in Docker containers with dynamic provisioning, cross-Availability Zone high availability, application consistent snapshots, auto-scaling and encryption functionality. Following Amazon Elastic Container Service for Kubernetes (EKS) integration with PX-Enterprise earlier this year, Amazon customers have unparalleled choice when it comes radically simplified operations of containerized stateful services running anywhere on the Amazon Web Services platform.

Containers have redefined how today’s leading enterprises build and deploy applications, automate operations and cut costs through improved resource utilization. As container adoption accelerates, however, to include mission critical stateful services like databases, enterprises have discovered a need for a cloud native storage solution that provides HA, backups, snapshots, encryption, auto-scaling and monitoring integration to successfully manage stateful containerized applications. The combination Amazon ECS scaleable container platform and Portworx persistent storage provides enterprises with an easy-to-manage container environment no matter what their scale.

Learn how to better manage your Hyper-V environment and improve performance. In this article, we’ll walk through how to optimally configure your VMs and servers. Then, we’ll provide a number of tips for monitoring your Hyper-V VMs. 

A key aspect of optimizing and monitoring performance is understanding the requirements for the workloads. You need to identify these requirements, along with the dependencies of the software that you’ll run, and then categorize the various types of resource utilization parameters. These are the high-level considerations: 

• Memory – What is the amount of RAM that is necessary for a specific VM? Is this amount adequate for all levels of application activity?
• CPU – Learn if the applications are typically CPU-intensive. Is it possible the performance gains will be seen with multiple CPUs?
• Storage Options – Account for all speed and capacity requirements for storage that supports the VMs. Will the applications run better using network storage?
• Network – Does any VM need access to other systems-or to the Internet? Which of these VMs will generate heavy traffic?

Gather this information from historical statistics that your organization may be collecting, or think through how best to conduct the estimates. Either approach will be helpful in identifying potential performance bottlenecks.