Tag Archives: Cloud

Cloud Foundry Investment And Deployments Increasing





Broad deployment of Cloud Foundry has nearly doubled in just the last two years, according to the latest report released by Cloud Foundry Foundation, home to open source projects helping build the future of cloud applications. The study was released at the Foundation’s European Cloud Foundry Summit in The Hague. It revealed that 45 percent of user respondents describe their Cloud Foundry use as “broad” compared to 30 percent in 2018 and 24 percent in 2017. Furthermore, 39 percent of developers are deploying applications in less than one day. Nearly one in five respondents started using the platform in just the last 12 months, indicating a healthy and growing community of developers. (Source: e3zine)




Previous articleBallerina Reinvents Cloud Native Middleware as a Programming Language

Swapnil Bhartiya has decades of experience covering emerging technologies and enterprise open source. His stories have appeared in a multitude of leading publications including CIO, InfoWorld, Network World, The New Stack, Linux Pro Magazine, ADMIN Magazine, HPE Insights, Raspberry Pi Geek Magazine, SweetCode, Linux For You, Electronics For You and more. He is also a science fiction writer and founder of TFiR.io.

Ballerina Reinvents Cloud Native Middleware as a Programming Language





Ballerina has announced a new open source project created and sponsored by WSO2, which radically simplifies how developers will build and deploy cloud native distributed applications and services. Ballerina 1.0, which is available under the Apache License, is being announced in conjunction with ApacheCon North America 2019. Ballerina, an ApacheCon Gold Sponsor, will offer technical sessions and demos of the new Ballerina release at the event. WSO2 CTO Paul Fremantle will also hold a session on Tuesday, September 10 at 2:30 p.m., “Ballerina – Re-inventing Middleware in a Programming Language.” ApacheCon North America 2019 is being held September 9-12, 2019 at the Flamingo in Las Vegas, Nevada. (Source: Yahoo!)




Previous articleThe Eclipse Foundation Releases Jakarta EE 8 Specifications

Swapnil Bhartiya has decades of experience covering emerging technologies and enterprise open source. His stories have appeared in a multitude of leading publications including CIO, InfoWorld, Network World, The New Stack, Linux Pro Magazine, ADMIN Magazine, HPE Insights, Raspberry Pi Geek Magazine, SweetCode, Linux For You, Electronics For You and more. He is also a science fiction writer and founder of TFiR.io.

What AT&T’s Deals with IBM and Microsoft Mean for the Cloud | IT Infrastructure Advice, Discussion, Community


AT&T’s recent deals to use technology and services from IBM and Microsoft show how multivendor agreements could develop for large organizations. Last week came word of the alliance that will bring AT&T Business solutions to IBM Cloud. One day after that news, AT&T and Microsoft announced a separate partnership in which Microsoft Azure will serve as the preferred cloud provider for AT&T’s non-network infrastructure applications. AT&T also said it will get Microsoft 365 in the hands of much of its workforce. The size of telecom company AT&T makes each deal significant and that these partnerships were split across vendors speaks to the dynamics at play as organizations enact transformation plans.

The companies declined requests to comment further on these deals but a pair of industry watchers from Gartner shared their perspectives on what this all could mean in the long run.

The first deal is a multi-year strategic alliance in which AT&T will use IBM’s knowledge update and modernize internal applications for AT&T Business Solutions as part of a migration to IBM Cloud. The deal also gives AT&T Business access to Red Hat’s platform for managing applications and workloads. The companies expect this will help AT&T Business improve service to enterprise clients. On the flipside, IBM will tap AT&T Business, the primary provider of software-defined networking. The organizations already had a partnership in place with IBM using AT&T Business as its global networking provider.

The expanded relationship between AT&T and IBM raised some questions from Sid Nag, vice president, cloud services and technologies for Gartner, about what the long-term gains might be. “IBM has been struggling with their cloud initiative,” he says. “They haven’t made much traction in terms of competing with Amazon, Azure, and Google.”

Read the rest of this article on InformationWeek.



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Database Deployments Moving to the Cloud | IT Infrastructure Advice, Discussion, Community


The days of deploying on-premises databases appear to be in the rearview mirror, or rapidly heading there. Microsoft and Amazon Web Services account for 75.5% of the market growth.

If you are a startup company looking to implement a new database, chances are you aren’t going to license the software and install it on the server in your office. No, you will look at what AWS or Microsoft Azure has to offer, or maybe you will look at Salesforce.com if you are looking for a CRM platform system.

That’s what seems to have happened to companies like Cloudera and MapR that pioneered Hadoop implementations. A lot of that big data went into the cloud instead.

But it’s not just startups anymore that are looking to put their data to the cloud.

While small and midsized organizations will move more quickly to the cloud, enterprises will also move there, too, but over a number of years, according to a new report from Gartner, The Future of the DBMS Market is Cloud.

Read the rest of this article on InformationWeek.



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Why CIOs Are Betting on Cloud for Their Modern Data Programs | IT Infrastructure Advice, Discussion, Community


Enterprise infrastructures are changing rapidly as the management and visibility requirements of modern, data-driven applications are outpacing legacy data storage functionality. Gartner confirms that, with artificial intelligence and machine learning driving an explosion in data volume and variety, IT operations are outgrowing existing frameworks. Although insights from today’s vast amounts of structured, semi-structured, and unstructured data can deliver superior value, organizations are currently unable to adequately monitor or analyze this information (and between 60 percent and 73 percent of all data within an enterprise goes unused).

Cloud has been the buzz for more than a decade, and it is now seeing mass adoption among enterprises. Similarly, over the past several years, the size and scope of data pipelines have grown significantly. Just a few years ago, Fortune 500 companies were still experimenting with and testing the efficacy of ‘big data’ as they move toward a digital transformation. Yet today, the majority of those organizations have moved from big data pilots to large-scale, full production workloads with enterprise-level SLAs. Now, these organizations are most interested in maximizing the return on their big data investments and developing new use cases that create new revenue streams.

Data is staying put: Why Big Data needs the cloud

According to recent research from Sapio Research, who surveyed more than 300 IT decision makers, ranging from directors to C-suite, enterprises are overwhelmingly embracing the cloud to host their big data programs. As of January of this year, 79% of the respondents have data workloads currently running in the cloud, and 83% have a strategy to move existing data applications into the cloud. Why?

Modern data applications create processing workloads that require elastic scaling, meaning compute and storage needs change frequently and independently of each other. The cloud provides the flexibility to accommodate this type of elasticity, ensuring the computing and storage resources are available to ensure optimal performance of data pipelines under any circumstances. Many new generation data applications require data workflows to process increased traffic loads at certain times, yet little need to process data at other times – think of social media, video streaming or dating sites. For the many different organizations that encounter this type of resilience monthly, weekly, or even daily, the cloud provides an agile, scalable environment that helps future-proof against these unpredictable increases in data volume, velocity, and variety.

As an example, e-commerce retailers use data processing and analytics tools to provide targeted, real-time shopping suggestions for customers as well as to analyze their actions and experiences. Every year, these organizations experience spiking website traffic on major shopping days like Cyber Monday – and in a traditional big data infrastructure, a company would need to deploy physical servers to support this activity. These servers would likely not be required the other 364 days of the year, resulting in wasted expenditures. With the cloud, however, online retailers have instant access to additional compute and storage resources to accommodate traffic surges and to scale back down during quieter times. In short, cloud computing lacks the headaches of manual configuration and troubleshooting, as with on-premise, and saves money by eliminating the need to physically grow infrastructure.

Lastly, for organizations that handle hyper-secure, personal information (think social security numbers, health records, financial details, etc.) and worry about cloud-based data protection, adopting a hybrid cloud model allow enterprises to keep sensitive workloads on-premises while moving additional workloads to the cloud. Organizations realize they don’t have to be all in or out of the cloud. Sapio’s survey revealed that most respondents are embracing a hybrid cloud strategy (56 percent) for this reason.

The rapid increase in data volume and variety drives organizations to rethink enterprise infrastructures, particularly cloud strategies, and focus on longer-term data growth, flexibility, and cost savings. Over the next year, we will see an increase in modernized data processing systems, ran partially or entirely on the cloud, to support advanced data-driven applications and its emerging use cases.



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