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If you’re attending the Gartner IT Operations Strategies & Solutions Summit 2017 this week, you shouldn’t miss what the IBM Performance Management and Operations Management team will be sharing.
Our team’s portfolio covers the monitoring and management of customer solutions both from a DevOps perspective as well as for centralized IT operations management teams. We can show you why companies must have agility in the early development phases, add structure as complexity and scale increases, and finally, drive efficiency into DevOps and operations processes. If you follow these steeps, your business can deliver new applications faster, quickly restore service following an outage and even reduce operational costs.
Come to the IOSS Summit exhibit hall, where IBM will demonstrate how you can achieve the following:
Get agile
We’ve seen that the majority of software issues that arise are due to changes made in the environment or the code. By providing availability monitoring that is integrated into the DevOps toolchain, organizations can become more agile.
A key DevOps best practice: create monitoring early in the application development cycle and use the same monitoring through the toolchain into production. This way, you can allow teams to support constant updates, but you’ll know changes are not impacting what your customers are experiencing. Monitoring in a DevOps environment can be integrated into an overall hybrid cloud operations solution.
Get structured
As applications and services scale up or become more complex, DevOps teams and the IT operations team can introduce more structure, without losing agility. They can do this by quickly identifying service-impacting incidents and restoring service fast. You can get structured by systematically correlating, notifying and resolving service-impacting incidents.
If you automate notifications through integrated notification service, you can ensure the right people are notified in their preferred alerting mechanism, based on scheduling. Notifications and resolutions can be provided in the context of an incident. More structure helps you resolve issues faster and helps minimize incidents that might impact your customers.
Get efficient
As companies grow, their focus often shifts to maximizing efficiency and delivering exemplary service. Out-of-the-box analytics and machine learning can help make businesses more efficient.
You can harness streaming analytics to proactively avoid outages. We have seen that companies can reduce top-priority incidents—the issues that impact service—by 85 percent in the first few months. Analytics help our clients achieve results like these by identifying actionable anomalies and insights without manual configuration to avoid issues that impact service and help identify their root cause. You can achieve greater efficiency by capturing the triage of anomalies in runbooks for team members.
Proactive analytics will allow your team to analyze, review and take immediate action. Event analytics drives operational effectiveness and efficiency for traditional IT operations teams, who traditionally respond to issues reactively. Event grouping reduces actionable events by grouping issues that always occur together. This reduces noise and provides better context for faster issue resolution. Additionally, seasonality analytics improve efficiency by identifying and resolving recurring problems.
I hope you’ll join us in the Gartner IOSS exhibit hall this week. Find us in Booth 200. We’ll show you how IBM Hybrid IT Service Management solutions can help you become more agile, structured and efficient.
For more on what’s in store at Gartner IOSS 2017, read this blog post.
The post Get agile, structured and efficient with IBM at Gartner IOSS Summit appeared first on Cloud computing news.
Quelle: Thoughts on Cloud

8. Mai 2017

da Agency

5 ways cloud drives enterprise innovation

What if your organization had an ace up its sleeve that cuts costs, improves operational efficiency, makes customers happy, reaches new markets and creates new sources of revenue?
The latest IBM Institute for Business Value study, “Beyond Agility: How Cloud is Driving Enterprise Innovation,” reveals that the cloud revolution is here now, delivering true business value to organizations. In enterprises around the world, cloud adoption has moved beyond the stage of acquiring technological agility to powering business innovation.
Cloud is now the go-to platform for driving enterprise transformation. The IBV surveyed over 1,000 business leaders globally, asking them about their most successful cloud initiative. Based on their responses, 71 percent of the companies we surveyed are cloud-enabled innovators. These business innovators are using cloud to move into new industries, transform customer experiences and forge new business models.

Innovators leverage cloud to create new products and services, as well as incorporate new channels or payment options into their business models. Cloud enables innovators to leverage skills available throughout their ecosystems to develop new operating capabilities that shift industry economics in their favor. Cloud is so suited to driving enterprise innovation that one of the major risks cloud-enabled innovators face is a “fast follower” competitor applying the power of cloud to leapfrog over them.
Our study found five key ways cloud enables enterprise innovation. Cloud empowers enterprises to:

Expand product/service features while improving ease-of-use
Design sophisticated customer journeys tailored to unique customer preferences and contexts
Rapidly prototype, develop and deploy new products and services
Reach new customers
Gain entry to a new industry or market

Five years ago, enterprises were implementing cloud primarily to streamline IT infrastructure and cut costs. Today, your organization risks being outflanked by your competitors if you aren’t unleashing the power of cloud to achieve enterprise innovation.
How will your organization use cloud to drive innovation?
For more findings on how cloud propels business transformation, including recommendations for getting started, read “Beyond Agility: How Cloud is Driving Enterprise Innovation.”
The post 5 ways cloud drives enterprise innovation appeared first on Cloud computing news.
Quelle: Thoughts on Cloud

8. Mai 2017

da Agency

Fujitsu and Mirantis Sign Strategic Collaboration Agreement to Deliver Private Managed OpenStack Cloud

The post Fujitsu and Mirantis Sign Strategic Collaboration Agreement to Deliver Private Managed OpenStack Cloud appeared first on Mirantis | Pure Play Open Cloud.
Companies partner on global delivery of OpenStack following the build-operate-transfer model for enterprise customers and telco

Tokyo, Japan and OpenStack Summit, Boston, MA – May 7, 2017 (Tokyo issue date: May 8) – Fujitsu Limited and Mirantis, the managed open cloud company and Fujitsu, announced today the signing of a global, strategic collaboration agreement to help customers adopt open cloud infrastructure based on OpenStack and related open source technologies such as Kubernetes.

Fujitsu and Mirantis will work together to integrate Mirantis Cloud Platform, announced last month and a unique build-operate-transfer open infrastructure delivery model with Fujitsu’ hardware, software, and support capabilities. With this agreement, Fujitsu will become Mirantis’ strategic partner embracing this methodology and introducing it to customers.

“Today, modern infrastructure is defined by public cloud vendors that give customers an experience where they don’t have to think about software,” said Boris Renski, Mirantis’ Co-Founder and CMO. “Infrastructure software is changing. Instead, customers will consume infrastructure as a service, where everything is API driven, managed and continuously delivered. We are very excited to find a strategic partner in Fujitsu who is eager to collaborate with us to bring its benefits to the broader market.”

“We are excited to have partnered with Mirantis to extend our OpenStack private cloud business. Mirantis’ unique build-operate-transfer delivery model, coupled with Fujitsu’s extensive experience and hardware and software offering in serving our mission critical customer systems, will enable large enterprises to adopt open cloud with confidence,” said Katsue Tanaka, SVP and Head of the Platform Software at Fujitsu.

Mirantis’ approach to infrastructure delivery departs from the traditional software-centric method that revolves around licensing and support subscriptions. Instead, the company is pioneering an operations-centric approach, where open infrastructure is continuously delivered with an operations SLA through a managed service or by the customer themselves. This way, software updates no longer happen once every 6-12 months, but are introduced in minor increments on a weekly basis and with no down time.

Having already delivered a wide range of private cloud offerings, in Fujitsu will add a new privately managed global OpenStack based on Mirantis Cloud Platform, starting from June 2017 in Japan followed by other regions, to fulfill the growing demand of customers for an easy-to-use open and standards-based cloud platform.

About Fujitsu
Fujitsu is the leading Japanese information and communication technology (ICT) company offering a full range of technology products, solutions and services. Approximately 156,000 Fujitsu people support customers in more than 100 countries. We use our experience and the power of ICT to shape the future of society with our customers. Fujitsu Limited (TSE: 6702) reported consolidated revenues of 4.5 trillion yen (US$40 billion) for the fiscal year ended March 31, 2016. For more information, please see http://www.fujitsu.com.

About Mirantis
Mirantis delivers open cloud infrastructure to top enterprises using OpenStack, Kubernetes and related open source technologies. The company is a major contributor of code to many open infrastructure projects and follows a build-operate-transfer model to deliver its Mirantis Cloud Platform and cloud management services, empowering customers to take advantage of open source innovation with no vendor lock-in. To date Mirantis has helped over 200 enterprises build and operate some of the largest open clouds in the world. Its customers include iconic brands such as AT&T, Comcast, Shenzhen Stock Exchange, eBay, Wells Fargo Bank and Volkswagen. Learn more at www.mirantis.com.

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Press Contacts
Fujitsu Limited
Public and Investor Relations Division
Inquiries: https://www.fujitsu.com/global/about/resources/news/presscontacts/form/index.html

Contact information:
Joseph Eckert for Mirantis
jeckert@mirantis.com
The post Fujitsu and Mirantis Sign Strategic Collaboration Agreement to Deliver Private Managed OpenStack Cloud appeared first on Mirantis | Pure Play Open Cloud.
Quelle: Mirantis

6. Mai 2017

da Agency

Adding intelligence to a multicloud strategy

Not long ago, a major cloud provider suffered a major outage because of what the company later blamed on a typo. This is not the first or last time that a simple mistake—a configuration error, a poorly-timed software update or a network outage—has caused chaos.
I predict that things will only get more challenging as businesses continue to move to multicloud environments. Businesses need the ability to manage a collection of different cloud-based services as a single unified environment.
Successfully managing the operations of a multicloud environment requires the ability to understand all of the underlying technology that supports the environment. Trying to manually implement a comprehensive management platform is a losing proposition. There are simply too many components: on premises systems, public cloud services, data services, software services, security components, networks and other connected devices.
The emergence of cognitive computing is changing the way organizations can manage their computing environments. A management platform that incorporates cognitive computing creates a framework that continues to learn and change as the overall multicloud environment evolves.
So what does it mean to provide a management and operations platform that relies on cognitive computing? How can cognitive computing help teams better govern their environments and create more consistent, reliable platforms?
Data is the foundation for a cognitive approach to multicloud management. All underlying systems produce large amounts of data about their behavior. The challenge isn’t that teams don’t possess performance data. It’s that there is so much data that uncovering the relevant data points can be very difficult.
The IT operations team is often left holding the bag when something goes wrong in a complex multicloud environment. Each business unit often wants to control its own infrastructure and its own applications. Central IT is tasked with providing overall protection and governance across the enterprise. IT operations has to ensure that workloads—no matter where they operate—are performing according to customer expectations.
The process of bringing operational sophistication to a multicloud environment is not easy. It is can seem impossible to bring predictability to an environment that consists of multiple workloads on multiple deployment models. Simply put, it requires a sophisticated automation approach based on machine learning and cognitive computing. Here are my top three reasons why a cognitive and machine learning approach is the most appropriate to manage a multicloud environment:

Multicloud management requires the ability to ingest and interpret massive amounts of data generated by the elements supported. The system learns from the data based on best practices and optimizes the operations of the environment.
Machine learning algorithms are able to continually optimize the environment so that performance is consistent and predictable. This requires an environment that understands the relationships and the context between all of the elements in the multicloud environment.
The ability to use natural language processing enables developers to determine where problems exist and the best way to take corrective action.

The future is the ability to combine control with freedom. Businesses demand the flexibility and freedom to use the most appropriate application and compute services. An increasingly large number of approaches and tools match the new generation of applications that organizations are developing to support customers. A consequence is that the typical business will use many different on premises and cloud services to meet their objectives.
The business might suffer unless these services, applications, network and data services are predictably managed as though they are one unified environment. It’s clear that an approach that takes advantage of advanced analytics in a cognitive computing framework is a requirement in a multicloud environment.
To learn about IBM Cloud Automation Manger, visit ibm.biz/tryICAM. The first version of IBM Cloud Automation Manager is now available on IBM Bluemix and supports IBM Cloud and other public cloud offerings.
The post Adding intelligence to a multicloud strategy appeared first on Cloud computing news.
Quelle: Thoughts on Cloud

5. Mai 2017

da Agency

IBM Bluemix helps Biop Medical accurately perform early cancer detection

According to the World Health Organization, more than one million women worldwide are living with cervical cancer, and many of them have no access to health services.
While cervical cancer rates are lower in developed nations over the past 30 years due to screening and treatment programs, rates in developing countries haven’t been reduced. In fact, may have risen. More than 86 percent of deaths from cervical cancer happen in the developing world.
Rural and poorer women are at an increased risk of invasive cervical cancer, because they often do not have access to crucial prevention, screening and treatment services.
Cervical cancer is the second most common cancer and deadliest disease among women worldwide. Tremendous sums of money are spent on treating the disease when it’s too late. Even if women do have access to screening, the outdated testing procedure, which was invented in 1940, is invasive and uncomfortable. it’s highly operator dependent, causes to many unnecessary biopsies, risk of infection. The results are not immediate and diagnoses are not always accurate.
Every year, 200,000 women are misdiagnosed for cervical cancer and pre-cancer only in the US.
That is where Biop Medical comes in.
New technology for early detection
Biop Medical has developed new technology: a probe that uses high-resolution optical and imaging techniques to identify cancerous and pre-cancerous cells in epithelial tissue.
Testing is faster, more comfortable and highly accurate. Patients receive a near-certain diagnosis right away, which eliminates waiting and anxiety.

Biop’s unique opto-mechanical device uses advanced algorithms to analyze several optical phenomena and indicate the exact location of abnormal areas.
Built on IBM Bluemix
The first-of-a-kind solution not only generates an enormous amount of data, but also acquires data on an ongoing basis, so Biop Medical was looking for a big, data-based solution to support its data storage, retrieval and analysis needs.
Biop took part in the IBM Alpha Zone Accelerator Program, a 20-week professional program for developing solutions for the enterprise market. Held at the IBM Israel offices, the program focuses on post seed- and round A-funded companies with the aim to create long term technology and business partnership with IBM worldwide.
Biop Medical comprises a strongly bonded, multi-disciplined and dedicated team including professionals who specialize in physics, algorithms, software, engineering, and biology.
Biop developed its solution on the scalable IBM Bluemix platform, using a simple drag-and-drop process to add services as needed. The GUI interface that medical professionals use to access and analyze data is hosted on Bluemix virtual servers in the IBM Cloud. Biop’s point of care solution composed of: database, storage, machine learning algorithm and user interface web application. For that, infrastructure tools such as virtual server, file storage and services such as IBM DB2 on cloud and object storage are being used. In addition, Biop application is using cloud foundry apps such as IBM’s SDK for Node.JS and Python.
The solution includes patients’ medical histories combined with data from geographic and risk factors that are analyzed to make appropriate recommendations.
These new data sets can be used to improve the accuracy of Biop’s diagnostic and create predictive data, which will determine which cells are likely to convert to cancer and which will regress to healthy cells. The data can also be used by researchers and insurance carriers to improve their business.
Biop Medical intends to interface with Watson soon for image and test analysis.
Hope for the future
Particularly important in developing countries is the fact that medical professionals can take the Biop solution to the patient’s location for screening.
For example, in India, where more than 25 percent of incidences of cervical cancer are diagnosed, many families live in small villages far from medical care. By the time a woman goes to a physician because of discomfort, the cancer is already invasive and too late to cure.
With Biop, every woman can be screened in just three minutes. Women with advanced pre-cancer can be sent to immediate treatment, effectively saving many lives with early detection.
Further, Biop’s probe allows minimally trained medical professionals and para-professionals to get more accurate results than the best physicians today.

Dr. Liat Gindes
The bottom line is that this is about people; saving the lives of mothers and daughters and sisters. It’s about preventing the family and community suffering that ensues when a mother leaves her family behind. “Research shows that to do the job of a mother, it takes seven people” says Dr. Liat Gindes from Biop Medical advisory board.
If the cancer can be diagnosed in time, a life can be saved, with no expensive medications or treatments that people cannot afford. It’s a simple test with a smarter prediction.
For now, the biotechnology is focused on cervical cancer, but it can be applied to other kinds of common cancers as well.
Learn how Bluemix can help you solve real problems.
The post IBM Bluemix helps Biop Medical accurately perform early cancer detection appeared first on Cloud computing news.
Quelle: Thoughts on Cloud

5. Mai 2017

da Agency

Mirantis Selected by Vodafone

The post Mirantis Selected by Vodafone appeared first on Mirantis | Pure Play Open Cloud.
Mirantis also announces a global procurement agreement, and first deployment to deliver managed open cloud for converged cloud platform

SUNNYVALE, CA – May 4, 2017 – Mirantis, the managed open cloud company, today announced that it has been selected to deliver managed OpenStack, based on Mirantis Cloud Platform, as part of Vodafone’s network virtualisation program.

Mirantis will be part of Vodafone Ocean, a framework for developing, testing and deploying Software-defined networking (SDN) and Network Functions Virtualization (NFV) technologies which are open, multi-vendor and managed end-to-end.

“Mirantis was selected for its technology, innovation and leadership in the OpenStack community and its ability to work with different vendors, engineers and operations teams to deliver OpenStack-based VIM. An open and multi-vendor cloud infrastructure is key for delivering better, faster and smarter services to our customers,” said David Amzallag, head of Network Virtualization, SDN and NFV, Vodafone Group. “We look forward to working closely with Mirantis as part of our Vodafone Ocean activities.”

Mirantis Managed OpenStack, which will be at the heart of Vodafone Ocean deployments, departs from the traditional software-centric method that revolves around licensing and support subscriptions. Instead, Mirantis is pioneering an operations-centric approach, where open infrastructure is continuously delivered with operations service level agreements (SLAs) owned by either Mirantis or the customer. Now, software updates no longer happen once every 6-12 months, but are introduced in minor increments on a weekly basis and with no down time.

“Vodafone has ambitious goals for its network, and our operations team is excited to support its private cloud efforts,” said Alex Freedland, Mirantis CEO. “With Mirantis Managed OpenStack, Vodafone and their customers will have access to the most recent cloud innovations, without having the downtime associated with upgrades.”

“If you’re only defining cloud computing as the big three hyperscale providers, you’re missing the big moves happening at the edge of the network,” said Jonathan Bryce, executive director, OpenStack Foundation. “AT&T alone is already supporting customers with OpenStack in nearly 100 data centers, alongside carriers like Verizon, China Mobile and Deutsche Telekom. In terms of sheer footprint, OpenStack is the most widely distributed cloud infrastructure for virtualized networks, and the Vodafone deal is the most recent example.”

Mirantis also announced it has signed a global procurement agreement to deliver managed open cloud for Vodafone Cloudstore, with the first implementation already underway.

“We rigorously tested Mirantis products and skills through proof of concept and pilot projects and the excellent quality of service led us to choose Mirantis for our Milan datacentre,” said Pablo Jejcic, head of Cloud and Infrastructure, Vodafone Group.

The Mirantis cloud will be accessible through Vodafone’s cloud marketplace, CloudStore.

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Contact information:
Joseph Eckert for Mirantis
jeckertflak@gmail.comThe post Mirantis Selected by Vodafone appeared first on Mirantis | Pure Play Open Cloud.
Quelle: Mirantis