Kategorie: technology

Design and machine learning: The emerging role of design in tech

IBM Design San Francisco has recently been given the prestigious Red Dot Communications Design Award for IBM Data Science Experience. The Red Dot Award is one of the highest forms of recognition in the design world.
The Data Science Experience design team faced unique challenges throughout this project, firstly having to understand the data science workflow, then collaborating on a design that best addresses the challenges data scientist face. The team was broaching unprecedented territory as it set out to design for the fast-paced and rapidly changing fields of data science and machine learning.

While the Red Dot Award gives recognition to the hard work of the design team, it also signifies the emerging role of design in tech fields like data science and machine learning. The field of design has evolved to become an integral part of software and product development, reshaping problem-solving approaches, development process, and user focus across the tech industry. Machine learning and data science are current trends in tech that are expanding possibilities of technology, and design is helping shape these possibilities.

For more details, read about the challenges and design strategies that the IBM DSX design team faced, hearing it directly from their perspective.

The post Design and machine learning: The emerging role of design in tech appeared first on Cloud computing news.
Quelle: Thoughts on Cloud

Why IBM MQ lets you choose the cloud best for you

Nobody likes to be restricted. They don’t want to have decisions made for them. Would you really go to a restaurant if the menu had only one option? “Oh, you’d like a side salad with your hamburger?” the waiter asks. “No, sorry. We only can give you this one thing.”
And here’s my point: We all crave choice. A restaurant that offers no options to pair with your burger is ludicrous.
So shouldn’t your technology give you the freedom to choose and use the cloud solution that is best for your business? IBM understands this and is working to help clients capitalize on cloud by providing industry leading offerings like IBM MQ enterprise messaging across multiple clouds to achieve ultimate data security and scale.
Why so many dang clouds, anyway?
Name a leading business with only one cloud today, I dare you. Today’s reality for many businesses undergoing digital transformation is access to applications and data regardless of where they are located.  But in a multicloud world, one requirement remains constant: transaction security. And that’s where IBM MQ come into play.
Multiple clouds. No fear. Data Is safe anywhere.
Leif Davidsen, Offering Manager of IBM MQ, has seen this requirement first-hand. “Almost all of our clients are starting to explore the benefits of cloud – and what that means to them.”
A priority for many businesses is to find a way to exchange data in the form of messages between applications, systems and services. And they need messaging exchanges that are reliable, secure, rapid and simple.
That’s why MQ gives customers the freedom to choose and use the clouds they need. In addition to MQ running on the IBM Cloud, IBM supports deployment of MQ on AWS, Google Cloud Platform, and Azure. As part of the IBM commitment to multicloud we are working to create a first-class experience for our clients. For example, we are now launching an AWS Quickstart to make it easier for AWS customers to try MQ.  Learn more.
Data security is a top-of-mind concern for all businesses today. Not a day goes by, it seems, without a news headline talking about a data breach. That’s why IBM is working to provide the industry’s leading enterprising messaging platform everywhere its needed in today’s multi-cloud world.
To learn more about what MQ can do for your business, click here.
The post Why IBM MQ lets you choose the cloud best for you appeared first on Cloud computing news.
Quelle: Thoughts on Cloud

My First Ansible Control Action (Video)

With this short video, we continue our series based on Red Hat Knowledge Base articles exploring how to take advantage of Ansible Automation inside Red Hat CloudForms. This post is a follow-up of our previous My First Ansible Service article.
As a summary, what we do in this video is to create a control policy that checks if the VM CPU or memory size has changed, and if so, resets the size to 1 CPU and 1GB automatically.

Specifically, what we show in this video is how to:

Create VMware credentials for vCenter
Create a new Service Item to reconfigure our VM
Create a new Action and Policy for running an Ansible Playbook
Create and assign a new Policy Profile to VMs
Test the Policy by re-configuring VM resources manually, and validating our control Policy

 

 
The Red Hat Knowledge Base article, including the necessary playbooks to implement this example, are available on this Red Hat Knowledge Base article.
Please note that you need to install pysphere from the appliance console for the playbook to run:
easy_install -U pysphere
Quelle: CloudForms

How Netcool Operations Insight delivers cognitive automation

In my last blog, I talked about some of the growing challenges facing operations teams looking to maximize the availability of services and applications while minimizing the cost of doing so.
Enter analytics and machine learning. Why would operations teams care about them?
Picture an incident first responder in an operations team – let’s call her Annette. She needs the most relevant events presented to her in meaningful context with as little noise as possible. She needs to be able to see the woods for the trees, so that she can resolve a problem indicated by an event as quickly as possible.
Now imagine Brock, a site reliability engineer with deep knowledge of an app, service or supporting technology. Brock may not have the time to author event reduction and correlation rules for Annette’s benefit. But the difference between him getting, say, a single incident SMS per day and a handful of notifications could mean a world of difference. It could mean he spends a day either grepping logfiles and examining irrelevant events or successfully preparing for his team’s next app rollout. Brock will want to know whether there are chronic problems in the managed environments that he doesn’t see because he might not have time to sift through the management data.
Neither Brock nor Annette are data scientists. They don’t need to care about machine learning. But they care about what such technologies can do for them. Netcool Operations Insight (NOI), delivered by the Netcool/OMNIbus, introduces machine learning technology to give Brock and Annette a data scientist in a box that aims to help solve operations management problems.
How NOI delivers insights
With NOI’s related event analytics, Brock can enable correlations that will group statistically related events into a single incident. For Annette, this means she can forego dealing with dozens of apparently unrelated events. Instead, she would see just a handful of true incidents, each containing relevant context for identifying the underlying cause. It can also mean that Brock gets a single SMS for, rather than many alerts throughout the day—or in the middle of the night.
NOI’s seasonality analysis shows Brock events that occur in a predictable pattern in time, helping him identify and remedy persistent problems in the managed infrastructure. When they go unidentified, chronic problems can lead to significant hidden costs from replugging the same hole time and time again.
NOI’s event and log search analysis provides Annette and Brock with critical contextual data from informational events and log files. For example, NOI can help identify an out-of-band configuration change as the root cause of a cascade of symptomatic events, all from the Netcool event console. Brock can look for hotspots for his application or service—say, an unreliable software module or a consistently faulty hardware model.
So why should Annette and Brock trust the output of these analytics? Neither are data scientists. In developing these capabilities, IBM development teams have ensured that, when an analytically derived insight is produced, the software can produce supporting evidence that the insight is valid. How do I know these events are correctly grouped? How do I know this event is chronic? Because the software can show me the event instances in history that support this conclusion. Annette and Brock don’t need a PhD in artificial intelligence to develop trust in the system and see that the generated insights are valid.
Adding cognitive and machine learning capabilities to Netcool helps the IT operations organization effectively deal with dramatically increasing numbers of events from highly complex hybrid environments. Along with integrated offerings such as Predictive Insights, Agile Service Manager and Runbook Automation, NOI helps companies to move into the area of cognitive automation. This means transforming IT operations from a people-led and technology-assisted approach to one that is technology-led and people-assisted.
To learn more, register for our webinar on the value predictive insight brings to IT operations. Check out the earlier posts in our IBM Operations Analytics blog series. And stay tuned for additional key learnings from our colleagues in coming weeks.
The post How Netcool Operations Insight delivers cognitive automation appeared first on Cloud computing news.
Quelle: Thoughts on Cloud

OpenStack Summit Sydney preview: Red Hat to present at more than 40 sessions

The next OpenStack Summit will take place in Sydney, Australia, November 6-8. And despite the fact that the conference will only run three days instead of the usual four, there will be plenty of opportunities to learn about OpenStack from Red Hat’s thought leaders.
Red Hatters will be presenting or co-presenting at more than 40 breakout sessions, sponsored track sessions, lightning talks, demos, and panel discussions. Just about every OpenStack topic, from various services to NFV solutions to day-2 management to containers integration will be covered.

In addition, as a premier sponsor, we’ll have a large presence in the OpenStack Marketplace. Visit us at booth B1 where you can learn about our products and services, speak to RDO and other community leaders about upstream projects, watch Red Hat product demos from experts, and score some pretty cool swag. There will also be many Red Hat partners with booths throughout the exhibit hall, so you can speak with them about their OpenStack solutions with Red Hat.
Below is a schedule of sessions Red Hatters will be presenting at. Click on each title link to find more information about that session or to add it to your Summit schedule. We’ll add our sponsored track sessions (seven more) in the near future.
If you haven’t registered for OpenStack Summit yet, feel free to use our discount for 10% off of your registration price. Just use the code: REDHAT10.
Hope to see you there!
Monday, November 6

Title
Presenters
Time

Upstream bug triage: the hidden gem?
Sylvain Bauza and Stephen Finucane
11:35-12:15

The road to virtualization: highlighting the unique challenges faces by telcos
Anita Tragler, Andrew Harris, and Greg Smith (Juniper Networks)
11:35-12:15

Will the real public clouds, please SDK up. OpenStack in the native prog lang of your choice.
Monty Taylor, David Flanders (University of Melbourne), and Tobias Rydberg (City Network Hosting AB)
11:35-12:15

OpenStack: zero to hero
Keith Tenzer
1:30-1:40

Questions to make your storage vendor squirm
Gregory Farnum
1:30-2:10

Panel: experiences scaling file storage with CephFS and OpenStack
Gergory Farnum, Sage Weil, Patrick Donnelly, and Arne Wiebalck (CERN)
1:30-2:10

Keeping it real (time)
Stephen Finucane and Sylvain Bauza
2:15-2:25

Multicloud requirements and implementations: from users, developers, service providers
Mark McLoughlin, Jay Pipes (Mirantis), Kurt Garloff (T-Systems International GmbH), Anni Lai (Huawei), and Tim Bell (CERN)
2:20-3:00

How Zanata powers upstream collaboration with OpenStack internationalization
Alex Eng, Patrick Huang, and Ian Y. Choi (Fuse)
2:20-3:00

CephFS: now fully awesome (what is the impact of CephFS on the OpenStack cloud?)
Andrew Hatfield, Ramana Raja, and Victoria Martinez de la Cruz
2:30-2:40

Putting OpenStack on Kubernetes: what tools can we use?
Flavio Percoco
4:20-5:00

Scalable and distributed applications in Python
Julien Danjou
4:35-4:45

Achieving zen-like bliss with Glance
Erno Kuvaja, Brian Rosmaita (Verizon), and Abhishek Kekane (NTT Data)
5:10-5:50

Migrating your job from Jenkins Job Builder to Ansible Playbooks, a Zuulv3 story
Paul Belanger
5:10-5:50

The return of OpenStack Telemetry and the 10,000 instances
Julien Danjou and Alex Krzos
5:20-5:30

Warp-speed Open vSwitch: turbo-charge VNFs to 100Gbps in next-gen SDN/NFV datacenter
Anita Tragler, Ash Bhalgat, and Mark Iskra (Nokia)
5:50-6:00

 
Tuesday, November 7

Title
Presenters
Time

ETSI NFV specs’ requirements vs. OpenStack reality
Frank Zdarsky and Gergely Csatari (Nokia)
9:00-9:40

Monitoring performance of your OpenStack environment
Matthias Runge
9:30-9:40

OpenStack compliance speed and agility: yes, it’s possible
Keith Basil and Shawn Wells
9:50-10:30

Operational management: how is it really done, and what should OpenStack do about it
Anandeep Pannu
10:20-10:30

Creating NFV-ready containers with kuryr-kubernetes
Antoni Segura Puimedon and Kirill Zaitsev (Samsung)
10:50-11:30

Encryption workshop: using encryption to secure your cloud
Ade Lee, Juan Osorio Robles, Kaitlin Farr (Johns Hopkins University), and Dave McCowan (Cisco)
10:50-12:20

Neutron-based networking in Kubernetes using Kuryr – a hands-on lab
Sudhir Kethamakka, Geetika Batra, and Amol Chobe (JP Morgan Chase)
10:50-12:20

A Telco story of OpenStack success
Krzysztof Janiszewski, Darin Sorrentino, and Dimitar Ivanov (TELUS)
1:50-2:30

Turbo-charging OpenStack for NFV workloads
Ajay Simha, Vinay Rao, and Ian Wells (Cisco)
3:20-3:30

Windmill 101: Ansible-based deployments for Zuul / Nodepool
Paul Belanger and Ricardo Carrillo Cruz
3:20-4:50

Simplet encrypted volume management with Tang
Nathaniel McCallum and Ade Lee
3:50-4:00

Deploying multi-container applications with Ansible service broker
Eric Dube and Todd Sanders
5:00-5:40

 
Wednesday, November 8

Title
Presenters
Time

OpenStack: the perfect virtual infrastructure manager (VIM) for a virtual evolved packet core (vEPC)
Julio Villarreal Pelegrino and Rimma Iontel
9:00-9:40

Bringing worlds together: designing and deploying Kubernetes on an OpenStack multi-site environment
Roger Lopez and Julio Villarreal Pelegrino
10:20-10:30

DMA (distributed monitoring and analysis): monitoring practice and lifecycle management for Telecom
Tomofumi Hayashi, Yuki Kasuya (KDDI) and Toshiaki Takahashi (NEC)
1:50-2:00

Standing up and operating a container service on top of OpenStack using OpenShift
Dan McPherson, Ata Turk (MOC), and Robert Baron (Boston University)
1:50-2:30

Why are you not a mentor in the OpenStack community yet?
Rodrigo Duarte Sousa, Raildo Mascena, and Telles Nobrega
1:50-2:30

What the heck are DHSS driver modes in OpenStack Manila?
Tom Barron, Rodrigo Barbieri, and Goutham Pacha Ravi (NetApp)
1:50-2:30

SD-WAN – the open source way
Azhar Sayeed and Jaffer Derwish
2:40-3:20

Adding Cellsv2 to your existing Nova deployment
Dan Smith
3:30-4:10

What’s your workflow?
Daniel Mellado and David Paterson (Dell)
3:30-4:10

Glance image import is here…now it’s time to start using it!
Erno Kuvaja and Brian Rosmaita (Verizon)
4:30-5:10

Quelle: RedHat Stack

Virtual attendance platform increases conference reach and revenue with IBM Cloud

Think about a typical conference: four days, multiple tracks and topics, hundreds of sessions. Then there are meetings and events on top of that.
The challenge for conference organizers is to drive attendance and keep their audiences engaged, yet so many potential attendees never even end up purchasing tickets due to the time required and the cost. For those that do attend, how do they make the most of their time with such a packed agenda?
ConferenceCloud is a virtual attendance platform specifically designed for conferences to leverage their content to digital audiences. In the conference industry, there are a lot of events and there is a lot of content to consume. The conference organizers can’t be everywhere, nor can the attendees, so it leads to a lot of missed opportunities. The goal of ConferenceCloud is to be a Netflix-style hub for conference content.
It offers live-streaming HD video, Q & A and chat, and archive capabilities for on-demand playback.

ConferenceCloud is the founders’ second try at a startup company. The first, a web development company, led them to a number of tech conferences, but they didn’t have the time or funds to attend all of them. What they could do was live-stream conferences that were available via video. That sparked the idea to provide a platform conferences can leverage to share their knowledge with people who can’t physically attend. The founders shut down their first startup to pursue ConferenceCloud.
The technology foundation
ConferenceCloud runs on IBM Bluemix. The servers that support the live-stream video are bare metal and the rest of the applications and storage are virtualized.
ConferenceCloud became acquainted with IBM at a business competition and joined the IBM Global Entrepreneur Program to take advantage of go-to-market support, business mentorship, technical guidance and more.

ConferenceCloud uses Watson AlchemyAPIs for text insights to enable a networking component, where attendees create a virtual “hallway track,” the unofficial track that most conferences have.
Also included is a recommendation engine that suggests connections for attendees to make. The recommendations are based off of the insights from the chat box related to what questions attendees might have asked, which conferences they might have attended or topics in which they might be interested.
Watson also enables speech to text, as well as text translations for real-time internationalization and captioning.
ConferenceCloud has built the platform its founders needed several years ago when they couldn’t afford to go to every conference they wanted to. Now, they can attend and moderate all the conferences they want, even keeping up with their hobbies.
The virtual attendance platform in action
ConferenceCloud customers can stream their conference live and scale their events to larger audiences through virtual attendance. The solution helps users recover foregone revenue and monetize content.
Read the case study to learn more.
The post Virtual attendance platform increases conference reach and revenue with IBM Cloud appeared first on Cloud computing news.
Quelle: Thoughts on Cloud