Intelligence in the cloud: Beyond the hype

If you follow developments in cloud architecture, you may have been hearing a lot recently on the importance of an “intelligent cloud” and an “intelligent edge.” Cloud providers who have traditionally focused on providing infrastructure and software have begun to realize that there is only so much value they can drive through these as-a-service offerings, and it is no surprise that the word “cognitive” has begun to creep into more marketing and speechifying on cloud.
But it’s important for developers and data scientists to be able to distinguish between the marketing and the reality of a truly cognitive cloud.
IBM is leading in artificial intelligence, with Watson’s deep domain expertise helping clients of every size, across all industries, every day.  Watson — which is available only on the IBM Cloud —has the full range of cognitive technology – ML, AI, cognitive — because that’s what is needed for decision making and transformative business outcomes.
Watson and the IBM Cloud represent the right, data-first combination for addressing these needs across industries and audiences. The value in clients’ data is not just in collecting and securing it, but also in extracting insights and knowledge from it for better decision-making. This is what IBM does. We want our clients to gain a competitive advantage through both data diversity and control. Just yesterday, for example, we announced the availability of Data Science Experience Local, a workplace designed to help data scientists more easily and quickly collaborate on analytic models that developers can use to build intelligent applications.
Our focus is on creating development environments in which it is easy for developers to navigate, create their apps and launch them – whether they are data scientists in a big bank, an analyst for a retailer, or a coder in a hospital system.
That’s also why we have the faster cloud for AI. Why is that important?
One of the key challenges in AI today is the time and cost of training a deep learning system. That’s where GPU technology on the cloud comes in. Just this week we announced that data scientists from IBM and Rescale conducted tests training deep learning models using the NVIDIA P100 GPU on the IBM Cloud and found a 2.8X performance gain — that could reduce deep learning training time by up to 65 percent. This is a major breakthrough in speed for the industry — showing IBM has the fastest cloud to run deep learning and is a major step toward reducing the cost and time required to train an AI system.
Edge analytics and the importance of Internet of Things (IoT) for a variety of industries is another topic du jour. We have been working closely with Cisco for more than a year to offer both Watson IoT analytics and Cisco edge analytics, bringing Watson capabilities to remote and autonomous operations on the edge of the computer network.
The reality is that no one has more experience and knowledge across industries than IBM. We offer a balanced platform, anchored by public, private and hybrid offerings, combined with the ability to deliver higher value cognitive services. AI, IoT, data analytics and blockchain, for us, are not added features, but are core to our cloud platform.
The IBM Cloud is also uniquely tuned to enterprises in highly regulated industries that face compliance or security challenges when adopting cloud infrastructure. That’s why we just launched Dedicated Hosts, a new offering that will provide enterprises with precise placement control of their cloud workloads. Unlike comparable offerings on the market, Dedicated Hosts on the IBM Cloud offer clients two distinct features including post-deployment control so they can move workloads at any time and the flexibility to deploy any size or combination of instances on the host.
As you listen to other cloud providers talk about intelligence in the cloud, remember to look beyond the hype and find the solution that is right for you.
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Quelle: Thoughts on Cloud

AWS CodeDeploy is Now Available in AWS GovCloud (US)

AWS CodeDeploy is now available in AWS GovCloud (US) region. CodeDeploy is a service that automates code deployments to any instance, including Amazon EC2 instances and instances running on-premises. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during application deployment, and handles the complexity of updating your applications. You can use AWS CodeDeploy to automate software deployments, eliminating the need for error-prone manual operations, and the service scales with your infrastructure so you can easily deploy to one instance or thousands.
Quelle: aws.amazon.com

New PureApplication updates unleash virtual machines

Today, IBM is introducing IBM PureApplication 2.2.3. Customers can now deploy and manage VMware virtual machines (VMs) on Bluemix Local System. Updates also bring new disaster recovery capabilities and adds support for private VLANs.
PureApplication Software with Bluemix Local System minimizes time-to-value for deploying and managing enterprise applications. You get enterprise-grade capabilities, like auto-scaling, license management and workload portability.
Check out the new VM capabilities of IBM PureApplication v2.2.3 in this Q&A video:

Want a breakdown of what’s new? PureApplication 2.2.3 upgrades introduces the following new capabilities.
Create and deploy VMs directly with vCenter to Bluemix Local System

VMs are deployed to virtual manager cloud group, a new type of cloud group with dedicated nodes, network definitions and user credential definitions dedicated for running VMware VMs on Bluemix Local System
vCenter monitoring
DR scenarios to maximize application uptime with replication of virtual machine file storage (VMFS) storage between racks

Manage disaster recovery with PureApplication Software workload environments in Bluemix Local System

Create one or more isolated workload environments inside of PureApplication System
Each workload environment includes

Pattern engine
Catalog
Deployments
Virtualization constructs, including IP groups and environment profiles
User space and permissions

Perform recovery by replicating one or more workload environments across primary and backup PureApplication Systems

Use private VLANs in Bluemix Local System

Divide a primary VLAN into secondary sub-VLANs while keeping existing IP subnet and layer-3 configuration
Leverage enhanced client-server security, more advanced network isolation and multiple levels of communication between VMs. Use them to:

Allow all VMs to access the same backup server on a single VLAN without the VMs to be able to access each other
Securely separate VMs running within the same cloud group but supporting different applications
Secure virtual desktop infrastructure (VDI) that prevents workstations from seeing each other on the network

Interested in more information on PureApplication and how you can accelerate your application environment deployment? Remember to check out the video and discover more details here.
The post New PureApplication updates unleash virtual machines appeared first on Cloud computing news.
Quelle: Thoughts on Cloud