Trust in cloud Services is increasing as IBM and Microsoft lead the pack – with the latter creating the Azure hub for Internet of Things, and the New York-based company launching 26 new cloud services for data scientists.
Considering that about 90% of businesses are using at least one cloud application, 2016 is shaping up to be a huge year for cloud computing. Yet, it’s not all sunshine and butterflies as only 32% percent of the companies using cloud services are running more than a 5th of their apps via the cloud.
IBM’s 26 new cloud services for data scientists
The company describes it as a sweeping portfolio for data scientists and application developers. The new offering includes 150 datasets available to the public. IBM is trying to help developers and data scientists build, manage and read events in the cloud more conspicuously. The company says that the hybrid cloud service will scan multiple cloud providers in order to use open systems that will ultimately construct a ready flow of data spanning a variety of services.
IBM claims that this cloud offering will ensure the creation of a self-made service for integration, migration, and data preparation because users will not only be provided with tools for advanced data exploration, but for modelling as well.
IBM’s offering is comprised of:
- Analytics Exchange,
- Predictive Analytics,
- Graph and,
- Compose Enterprise.
To break them down, Analytics Exchange is the one that comes with the vast catalogue of 150 datasets available to the public. Predictive Analytics is promising that devs can easily build machine learning models from its library of predictive apps, which are widely used by data scientists. Graph is built on top of Apache TinkerPop and it’s a managed graph database service that provides loads of business-ready apps with features such as fraud detection, real-time recommendations, as well as Internet of Things and network analysis capabilities. The last one, the IBM Compose Enterprise offers developers the possibility of building web-scale apps much faster by giving them complete access to resources like open source databases, alongside the much needed private, dedicated cloud servers.
The primary interface for IBM’s Graph service will consist of the Gremlin graph and Apache TinkerPop traversal language. Prior to this moment, the New York-based company has been known to push TinkerPop to join the Apache Software Foundation.
Microsoft’s Azure hub for Internet of Things
The Microsoft-made Azure Hub for IoT has now been put on general availability. The OS-giant has released a statement, which claims that this new system will help bridge customer devices with their designated systems in the cloud. The company notes that when the new preconfigured Internet of Things offering is used with the entire Azure IoT Suite, devs can create a machine to machine network and a storage system for data in mere minutes.
What does the new Azure IoT Hub promise?
For starters it’s going to be more secure and it will sport a reliable two-way communication channel from cloud to device and vice-versa. It uses all the accepted protocols used in machine to machine tech:
- MQTT and,
The IoT Hub will seamlessly integrate with other Azure services such as Azure Stream Analytics and Azure Machine Learning, says Microsoft. Useful for data scientists is the Machine Learning service, which uses algorithms in an effort to discover patterns like commercial trends, hacking attempts and other unusual activity.
Making use of the Azure Stream Analytics, decision makers and data scientists can use those insights and act in real time via a system that has the ability to monitor millions of devices and simultaenously take predetermined automated action.
The Azure IoT Suite was launched by Microsoft in September of 2015, and the company pledged to guarantee a standard through their Certified Internet of Things programme, as well as promising to relentlessly verify all partners that work with OSes such as Windows, RTOS, mbed and Linux. With initial backers such as Texas Instruments, Samsung, Raspberry Pi, Intel, Freescale, Beagleboard and Arduino, Microsoft now claims that it has added about 30 more partners, noting the following companies: Libelium, HPE, Dell, and Advantech.
Microsoft’s partner director for Azure IoT, Sam George, wrote on a blog that the Internet of Things is poised for a drastic growth in 2016, and that this year will be swamped with loads of offerings, as well as exciting new builds.
Trust in Cloud Services is Increasing
Trust has always been the predominant issue, which prevented enterprises to board the Cloud Service Express. The security concern is – Will our information be safe?
That, seriously, depends on what cloud service you opt in for. There are a dime a dozen, but with community feedback, and efforts made by IBM and Microsoft, the populace is educated, and trust in cloud services is increasing even though they are flawed. They do have their vulnerabilities, but there are some pretty great ones out there that provide the much needed file synchronization, encryption and ease of access.
In a survey developed by CSA, the Cloud Security Alliance, suspicion that cloud-based services are not as trustworthy as their on-premise counterparts, has been lifted.
Approximately 200 IT executives from across the world have been quizzed on the state of cloud adoption, how enterprises see cloud security, and the evolving role of IT. However, even though the cloud is experiencing a growth in trust, companies are still trying to replicate the same security protocols and controls as they did for their on-premises systems.
Slightly north of 65% off IT leaders say that the cloud, in its current state is either as equally secure as on-premises systems, or proves to be a more secure option. Yet, 68% of them say that the users present more danger even when the enterprise-ready cloud services offer higher security than their own data centres. This is the main obstacle that obstructs the natural evolution, to some, of moving apps to the cloud – corporate security policies need to be enforced.
Another barrier is concocted by the need to comply with regulatory requirements, note 61% of the quizzed IT execs, and 32% of them say companies lack the budget to replace legacy systems.