Amazon AppStream 2.0 now offers persistent storage for end users’ files, backed by Amazon S3

Amazon AppStream 2.0 now provides users with persistent storage, backed by Amazon S3. Users can access a home folder on their streaming instance, and save content in this folder for use between streaming sessions. Users can also download and upload files in the home folder directly from a web browser, when connected to a streaming session. All files are stored in an S3 bucket, which is automatically created in your AWS account.
Quelle: aws.amazon.com

Kubernetes: State and Storage

I oftentimes hear folks stating that Kubernetes is great for stateless applications but when it comes to stateful applications, questions like: ‘Can it be done?’ or even ‘Should it be done?’ come up frequently. In this post, I’d like to offer a slightly more differentiated point of view and provide you with some resources that might help you dealing with stateful applications.
Quelle: OpenShift

Announcing Public Preview of HDInsight HBase on Azure Data Lake Store

On November 21, Microsoft announced the general availability of Azure Data Lake Store. Azure Data Lake Store is a hyperscale cloud storage for big data analytics built to the open Hadoop File System (HDFS) standard. Azure Data Lake Store provides enterprise grade security, including SSL and encryption at rest by default along with role based access control.

Today we are excited to announce the public preview of HDInsight HBase on Azure Data Lake Store. Customers can harness the power of a columnar NoSQL distributed database with the proven performance and infinite scalability of Azure Data Lake Store. Azure Data Lake Store has no limits to capacity so customers will never need to worry about the limitations of their storage system.  Furthermore, customers can store all their data and do all their analytics in one single storage account.

Here are some examples of how to leverage HDInsight HBase on Azure Data Lake Store:

Internet of Things (IoT) – HBase can store billions of real time events coming from sensors, devices, machinery, equipment, and social media. Hadoop with HDInsight can then perform batch analysis on the data that was stored in Azure Data Lake Store.
Web Logs – store and index web logs and clickstream data using HBase. Hadoop with HDInsight can then do batch analysis on this data.
Social Sentiment – use HBase to write and store data from the social sentiment fire hose (e.g. Twitter)

We invite you to learn more through our documentation and getting started guides:

Azure Data Lake Store

Overview of Azure Data Lake Store
Get started with Azure Data Lake Store
More Azure Data Lake Store documentation

HDInsight HBase

Overview of HBase
Get started with HBase
Real-time social sentiment analysis using HBase
More HDInsight documentation

Quelle: Azure

Business agility powered by decision management

Agility is the ability to move quickly and act fast. Business agility is the ability to adapt and respond to the change rapidly. Notice the difference? In business, the emphasis is on flexibility.
Of course, I am borrowing this concept from software development, where agile development is the new norm. But think about this: if businesses are built on systems that are, in turn, built using agile methods, then does that make your business agile?
No. An emphatic no.
You still need to engineer the systems that run your business to be accommodating to changes, to be flexible and without rigidity.
All businesses run on a set of business processes and rules. Systems are engineered—or over-engineered, if you will—to automate these complex processes and business rules. IT takes the business rules and hard-codes them into the application in a language business people can’t always understand. But business rules change frequently. When there’s a new regulation, they change. When there’s a new competitor in the market, they change. It can change over the course of a meeting.
When sales at ControlExpert, the German insurance, automotive and car leasing industries services provider, started skyrocketing, they transformed their processes. They didn’t just automate claims management, they infused it with intelligence to identify patterns and discrepancies in claims. As a result, their agents could make the right decisions faster to accept payouts. This enabled them to minimize overhead costs and exceed customer service expectations.
Business rules are not simply the rules you play by. In fact, they are very specific statements that are the foundation of how business decisions get made.  They answer questions like:

Who’s eligible for loans and what are the terms of repayment?
Should the pricing of the product vary by state?
At what purchase value should a customer become eligible for a loyalty bonus?

Each gives well-formed, practical guidance focused on making a specific decision. Each uses terms and facts about business concepts, which should be well-defined.  Each is declarative, rather than procedural.
This requires business and IT to work together to make improvements and a new architecture for systems that drive business.

“Agility increases when companies use the expertise of all of the major stakeholders to identify, understand and respond to accelerating change and disruption as it occurs.” – IBM Business Agility Study, April 2011

Operational Decision Management allows and accommodates this flexibility for line of business to make changes to the decision logic as and when needed and in natural language. It is a strategic advantage and perhaps a vital missing link in your quest to define your organization as agile.
I encourage you to read more in this whitepaper that articulates how decision management provides the critical link to business agility. You can also follow the conversation on @BPMfromIBM. And feel free to comment below about how your organization is embracing agile methodology to define your business.
The post Business agility powered by decision management appeared first on Cloud computing news.
Quelle: Thoughts on Cloud

Announcing support for additional Blockchain Protocols on Azure

As we approach Consensus 2017, it is with great pleasure that we announce support for complex blockchain network deployments for many more blockchain and distributed ledger protocols on Azure, including HyperLedger Fabric, R3 Corda, Quorum, Chain Core, and BlockApps, to further our goal and meet customers where they are.
Quelle: Azure

FCC Votes To Move Forward With Net Neutrality Rollback Proposal

Chip Somodevilla / Getty Images

The Federal Communications Commission voted today to move ahead with a plan to undo net neutrality protections.

The vote, 2-1 along party lines with the Republican commissioners prevailing, sets the stage for a major fight between Democrats, tech companies and internet activists who support utility-like regulation of internet service providers, and Republican and cable companies, who say the Obama-era rules reach too far and have hurt investment in broadband.

Today's decision marks the beginning of a stage of public input before the proposal can advance. The original net neutrality debate at the FCC engendered nearly 4 million public comments.

At stake is whether the FCC will roll back rules that prevent internet service providers from treating different internet traffic differently. Without such rules, ISPs could charge certain sites — think Netflix and Amazon — more money for their sites to load and stream at fast speeds. Opponents of such a move say it would further consolidate power in the hands of giant media conglomerates and the web companies that already dominate the internet.

A fight over repealing net neutrality rules has been expected since Donald Trump appointed Ajit Pai to be the new FCC chairman in January. Pai, a former Verizon lawyer, voted against the 2015 net neutrality order, and has long been seen as an opponent of FCC regulation of internet traffic.

Quelle: <a href="FCC Votes To Move Forward With Net Neutrality Rollback Proposal“>BuzzFeed