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Hybrid Cloud – The Future of Enterprise IT Infrastructure

Agile-Waterfall Hybrid Smart Approach or Terrible SolutionThe Age of the Agile Enterprise is now, and is powered by the Hybrid Cloud and SaaS. This global revolution was sparked by the convergence of mobile (MDM Management) and encrypted cloud storage technologies, but also by the evolution of Agile and Lean software development methodologies and the tools used to manage Agile development in an Enterprise environment. The proliferation of these Scalable Agile features, integrated by developers into the software created by them, has lead to the quiet spread of Agile functionality into every facet of industry. DevOps arose from Agile to include IT Operations, breaking down barriers and silos, facilitating communication and collaboration between departments, the future is more of the same but beyond DevOps to encompass the entire enterprise, across all departments. DevOps is the first step towards the Agile Enterprise.

Enterprises are upgrading from legacy software systems and adopting Hybrid Cloud technologies and SaaS tools to be more Agile (whether they realize it or not), thus allowing the easy placement and management of workloads, balancing the conflicting demands of internal resources. When outsourcing workload to external SaaS vendors and other external service providers, it is vital to choose SaaS solutions that are Agile enough in terms of connectivity and abide by those same industry standards and regulations your business must adhere to, typically requiring traceability and transparency (audit purposes).

What is a Hybrid Cloud Environment?

A Hybrid Cloud environment is one where tools for specific jobs communicate with one another seamlessly and securely via API. Data transferred between private cloud, – where sensitive data resides and public cloud, – that utilize SaaS tools for many different purposes. Once an external SaaS tool has completed the task assigned, the data is sent home to the private cloud via bi directional API, where big data analysis is managed by Data Analysts and Data Scientists. The value is often found by comparing one data set with others. The end goal of course is to give direction to software development teams to drive development of the next generation of applications, developed by in-house development teams to provide that technical edge over the competition.

Software Development is the backbone of enterprise growth and its value and prominence is growing, not only for software products but also for hardware, – physical products where new generations of product are increasingly reliant on embedded software to provide new features. IoT, IIoT and Industry 4.0 are all expressions of this, reliant upon ever faster application development which is in-itself dependent upon constant feedback from the customer, staff and stakeholders. It all feeds into the application lifecycle, providing constantly changing requirements and increasing complexity that must be managed.

Why Software Developers Need Integrated Agile Software?

Just as business is reliant upon application development, development teams are reliant on the collaborative development environment they work with, increasingly developers are transitioning away from collections of ad hock Agile tools to integrated Agile environments built around Agile frameworks such as the Scaled Agile Framework, necessary to manage complexity when scaling Agile for enterprise use. These software solutions provide application lifecycle management and are known as ALM software or ALM platforms.

ALM Software developers are the first to embrace new concepts such as DevOps and will be the first to implement features to be ready for the inevitable move towards the Agile Enterprise, so in this sense ALM software is what all else is built upon and should be the at the heart of any Hybrid Cloud strategy and is critically what everything else should connect to (via Business Process Management – BPM and Soap API).

ALM software is the means by which Data Scientists and stakeholders collaborate with the development teams as well as by which feedback is communicated from the end users to the development team via the codeBeamer ALM integrated Service desk.

Intland Software’s codeBeamer ALM embraces the extension of the Scaled Agile Framework (SAFe) for DevOps and provides an enterprise wide overview for all software development projects. See why Ovum declared codeBeamer ALM a market leader in 2016.