Hybrid, DevOps and More

2016 will be the year that hybrid cloud begins to truly emerge. Meanwhile, the cloud will also facilitate a series of improvements to the way applications are developed and delivered. Here are Internap’s predictions for the year ahead.

1. The Shift to Hybrid Cloud Will Accelerate

In the past, cloud platforms have not provided the feature parity and technical maturity that enterprises needed in order to deploy workloads on a combination of their own private environments and service provider environments. Many clouds employed proprietary technologies and promoted vendor lock-in, making it difficult to move workloads. But cloud technology has been evolving to become more fluid, stable and interoperable. Now, migration and movement is being made easier, thanks to improvements to the interface between applications and the cloud.

OpenStack is a great example of this evolution, having matured to the point of making hybrid cloud more accessible to enterprises. While older versions of the platform couldn’t match the features and functionalities of other cloud platforms, it now enables on-demand provisioning of bare-metal and virtual instances from the same management interface. Its improved feature parity and hybrid capabilities have given enterprise IT the flexibility and control they need to successfully deploy and manage applications on hybrid infrastructure. The increased demand for hybrid cloud is one of the main drivers of OpenStack’s continued success.

2. Big Data-as-a-Service Will Emerge

Big data will continue to be a huge focus for the enterprise, but instead of finding and managing their own big data tools to try to best fit the needs of the business, enterprises will look to service providers to handle it all for them. Big data-as-a-service (BDaaS) will shift the burden off the enterprise and onto the service provider to create the infrastructure to best support it. This approach will reduce complexity for the enterprise and will also offer better performance and allow enterprises to focus on developing powerful, reliable big data insights.

3. The Cloud Will Improve the Application Lifecycle

The entire application lifecycle will move to the cloud as enterprises recognize the need for faster, more agile and collaborative development. The days of a monolithic architecture with a large development team dedicated to the entire application are over. Instead, organizations are recognizing the agility offered by easily configurable infrastructure platforms, where everything from dev to QA to launch takes place in the cloud.

Some companies with cloud-native apps are using this approach to add new features and functionality on a daily basis. It can benefit legacy applications as well; shortening the lifecycle by two-thirds or more than 60% can have a significant business impact.

Cloud will also help developers provision infrastructure on demand in a more fluid and cloud-like way. Complex approval and procurement processes will be replaced with an API-driven approach.

4.The Enterprise Will Embrace DevOps

DevOps is all about enabling a fast and agile development lifecycle. Ideally, there is very little lag time between writing the code and making the functionality available on a web page or app, which results in a near-continuous deployment process. Traditional software development processes can’t match this level of speed and time to market.

Enterprises will undergo a philosophical and organizational change as they begin to adopt and embrace DevOps-style processes. This new set of priorities will drive the need for frictionless processes and increased infrastructure agility. Without access to on-demand server provisioning and other cloud automation tools, the dream of implementing DevOps-style processes will not become a reality. Ultimately, the ability of to deliver disruptive software-based services depends on a foundation of flexible, agile infrastructure.

5. Cloud Performance Comes to IoT’s Rescue

The Internet of Things (IoT) will require high-performance cloud infrastructure to enable efficient data processing and decision making in real time. IoT technologies are already disrupting a variety of industries, and businesses large and small will need to have a plan in place to handle this disruption to their ecosystem. That will require a highly responsive, scalable infrastructure to successfully derive value from massive amounts of IoT data. Cloud will become central to IoT infrastructure to enable instant calculations and analysis that will influence supply chain decisions.

Read the original article at VMBlog.com.