Application Workloads

AWS Managed Services targets enterprise workloads

Grazed from InfoWorld. Author: Brandon Bulter.

AWS (Amazon Web Services) recently announced a new Managed Services product for its public cloud that aims to ease migration of legacy enterprise applications. AWS Managed Services is a series of infrastructure operations management tools meant to provide ongoing management, support, monitoring, and security of an AWS cloud environment.

It’s delivered jointly by AWS employees and certified AWS partners and is meant to serve AWS’s largest clients who are planning to migrate workloads to Amazon’s public cloud. Gartner Vice President and Distinguished Analyst Lydia Leong says most workloads can be broken down into two categories:...

Cloud Computing: Managing Application Service Delivery in the Hybrid Datacenter

Grazed from WindowsITPro. Author: Vic Nyman.

Enterprise computing now occupies a new space called the “Hybrid Datacenter.” As organizations work to achieve the promises of cloud computing while retaining the benefits of on-premises deployments, they are increasingly operating in a new, highly heterogeneous environment that creates new challenges, including application service delivery. Application service delivery in the Hybrid Datacenter is one of the biggest challenges that IT Operations teams will need to meet for their organizations to be successful.

I like to start with a basic premise: IT organizations exist to deliver application services. Every business and organization is now highly dependent on applications. Whether it’s consumer applications for banking, scheduling, buying airline tickets, or coordinating youth sports team schedules, or business applications for HR, ordering, or production management; organizations of all sizes today rely on applications to function...

LIGHTEDGE SOLUTIONS ANNOUNCES WORKPLACE CLOUD, ENABLING ANYWHERE, ANYTIME ACCESS TO BUSINESS APPLICATIONS

Grazed from LightEdge Solutions

LightEdge Solutions announced today that it has joined the Citrix Service Provider program to offer customers LightEdge Workplace Cloud, a hosted offering that allows for a seamless user experience with anytime, anywhere secure access to business applications and vital information. LightEdge Workplace Cloud empowers businesses and their mobile employees to successfully be productive with full secure access to their traditional in-house resources from any device and any location. The Workplace Cloud is built on the industry leading Citrix solutions of Citrix XenApp, Citrix XenDesktop and Citrix XenMobile and located locally in LightEdge’s Midwest data centers in order to deliver a high quality user experience. XenMobile offers high-demand features like Mobile Device Management (MDM) and ShareFile, the easiest way to securely deliver and share documents.

LightEdge’s Workplace Cloud allows our customers to extend the reach of not only their legacy applications, but also traditional Windows applications and data to next generation end user devices and prolongs the lifespan of aging equipment. Customer’s applications—Windows, legacy, client-server—can now be made available through customer app store portals just like next generation cloud and SaaS architectures.

Cloud is all about Workload

Grazed from SysCon Media. Author: Adrian Bridgwater.

Forget Location, Location, Location: Cloud Is All About Workload, Workload, Workload. What do we know so far about cloud computing? Well, first the hype-cycle slowed down and we started realizing that hybrid cloud (as a combination of public and private resources) was a relatively sensible idea, i.e., from both an expenditure (public) and security (private) perspective.

Now we know which data and processing tasks to put where - and when, right? Not exactly, it's still not all quite crystal clear in cloud is it? The nomenclature, taxonomy and classification of the cloud are all part of the problem. At the risk of introducing a new term, it may be useful to talk about the workload cloud...

Agile Migration Essential for Moving Workloads to the Cloud

Grazed from Midsize Insider. Author: Justin Stoltzfus.

Midsize companies with finite IT budgets are increasingly moving workloads to the cloud using specialized vendor cloud services, and that means developing strategies. This can require substantial communication and development of carefully thought-out goals, but when it comes to the adoption itself, putting the cloud into action often comes down to a few core principles.

Four-Part Adoption

A CSO Online report details some of the best practices for cloud migration, from working this move into a business plan to considering service-level agreements (SLAs), provider choices and public or private options. The report also highlights four fundamental elements of adoption that are important for choosing the right cloud provider: service levels, support, security and compliance...

Amazon Tool Helps Shape Your Cloud Workload

Grazed from InformationWeek. Author: Charles Babcock.

Amazon Web Services launched a beta service called Trusted Advisor to help customers configure their workloads during its Re:Invent Show last November. This week the company made it available for a 30-day free trial.

Given the complexity of the Amazon services and server instances, Trusted Advisor is sorely needed to help customers, especially newcomers, navigate through the tangle of details. Several other vendors also provide a service similar to Trusted Advisor, and some, such as Cloudyn, CloudCheckr, Uptime Software and Cloud Cruiser, offer more features. But since AWS remains the fountainhead of best practices information, Trusted Advisor is likely to gain authority...

Pricing out cloud computing? Look at your workloads first

Grazed from ZDNet. Author: Joe McKendrick.

Let's face it: it's not easy to figure out the various costs aspects of cloud. Obviously, there are the low monthly charges that are appealing, or savings from consolidation. But for companies with well-run IT operations, the benefits of moving to cloud may be negligible. In calculating cloud financials, too many organizations "overlook or underestimate cloud’s true, core costs at the enterprise workload level," states a new report from Saugatuck Technology.

First, a well-run IT environment may not see much in the way of savings. Organizations that already have highly optimized IT environments should not assume that a move to cloud will deliver significant infrastructure savings, the report, authored by Saugatuck analysts Charles Burns and Bruce Guptill, cautions. "On an optimized in-house infrastructure, costs for running a workload in a public cloud could actually be greater than the costs for running the workload in-house."...

Heirloom Computing Partners With CloudBees to Move Mainframe Workloads to the Cloud

Grazed from Heirloom Computing. Author: PR Announcement.

Heirloom Computing Inc. today announced a new partnership with Java Platform as a Service (PaaS) provider CloudBees to speed the transition of mainframe workloads to the CloudBees PaaS. With the partnership, Heirloom will help IT managers lower costs and modernize their COBOL-based mainframe workloads by deploying them to the cloud, utilizing Heirloom Elastic COBOL and the CloudBees Platform. Deploying Heirloom’s Elastic COBOL on CloudBees is simple – watch this short video for a demo: http://youtu.be/4QmKvt0L9zo

Heirloom Computing is on a mission to efficiently modernize the world’s business-critical enterprise software applications. Heirloom seamlessly migrates legacy systems to private and public cloud computing infrastructures, enabling IT departments to reap the cost benefits of cloud computing and satisfy user demands for applications accessible via web browsers and mobile devices...

Cloud Computing: The Future of Workload Management

Grazed from HPCWire.  Author: Chad Harrington.

The essayist Paul Valery once quipped, "The trouble with our times is that the future is not what it used to be." Surely, there is truth in that. The future of workload management continues to evolve; it is definitely not what it used to be.

As we look toward the future of workload management, we see three major trends: application insight, big data awareness, and HPC clouds. The trends are inter-related and we'll discuss each in turn.

Application Insight

First, workload managers need to have greater insight into the applications they run. The more deeply the workload manager can understand the workload, the more efficiently it can schedule, manage, and adapt the computing environment. Today's workload managers understand basic workload requirements and can track an application's progress. However, there is more that can be done. In the future, we'll see more emphasis on understanding an application's purpose and key metrics. If the workload manager understands the application's current and future needs, it can make much more optimal decisions. Metrics such as I/O bandwidth, memory allocation, storage space, CPU and GPU cycles, etc., all help the workload manager understand an application in order to optimally manage it...

New VMTurbo Release Enables Intelligent Onboarding and Automated Control for Cloud Infrastructures

Grazed from VMTurbo.  Author: PR Announcement

VMTurbo, the leading provider of intelligent workload management software for cloud and virtualized environments, today revealed VMTurbo Operations Manager 3.2. This new release addresses the growing demand for greater intelligence, agility and automation in onboarding application workloads to private, public and hybrid clouds, as well as providing holistic and granular control for distributed multi-site operations.  The release also extends discovery and application-aware management to Java applications and Linux environments, and adds hypervisor support for Red Hat Enterprise Virtualization (RHEV) 3.0.

“IT organizations are moving beyond simple virtual machine provisioning. Our clients are now considering how to orchestrate the delivery of multi-tier applications and assure committed service levels,” said Alessandro Perilli, research director at Gartner. “Automated infrastructure optimization, through dynamic resource allocation and intelligent workload placement, is critical to enable service assurance and scale operations in large private or public cloud environments”.