Welcome!

Apache Authors: Pat Romanski, Liz McMillan, Elizabeth White, Christopher Harrold, Janakiram MSV

Related Topics: @CloudExpo, Microservices Expo, Containers Expo Blog, Agile Computing, Apache, Cloud Security

@CloudExpo: Article

Agile Cloud, Big Data and Mobility

Cloud and Big Data projects can leverage the incremental and iterative aspects of Agile methodologies

Cloud computing has reduced deployment times and the ability to try out new ideas without significant investments in hardware and software. Cloud supports business agility and Cloud projects may have a quicker turnaround time for releases. Many programs have declared victory as being Agile since they are using the rapid deployment capabilities of Cloud and Big Data. The myth is "I use Cloud" hence I'm Agile". However this is only the business agility aspect in terms of using the "pay as you go" model of Cloud to have quicker provisioning and deployments. Agile management and development is a focus on Agile techniques throughout the development lifecycle. On some projects, in an attempt to get products out using Cloud, Big Data Business Intelligence tools quickly, the magnificent capabilities of Agile management and development have been forgotten. Agile processes do put forth specific methods to manage the rapid development cycles and changing requirements in application development.

With an overall shift towards Shared and Cloud Services, there is more focus on aggregating services hence true Agility is realized when it is leveraged not only in the development, but also in the integration of services. Agile development techniques can be successfully leveraged during the Cloud, Big data and Mobile application development lifecycles. In the waterfall approach projects start with specific requirements and then progress through the phases on the life cycle. An Agile strategy and development approach starting with requirements and working through development can be helpful to demonstrate the releases incrementally and iteratively. The continuous feedback aspects of Agile can reduce the risk of having a sphagetti of services that don't work well together.

For Cloud, Big Data and Mobile services, an Agile approach can enable incremental and iterative demonstration of the aggregated service functionality. The "rapid" aspects of Cloud and Agile can link up to create a complete rapid delivery paradigm. The focus in Agile is on the product being released on a regular basis and releases being determined by regular user feedback to manage changing requirements. Agile development significantly reduces the risks of coming up with a solution that is not what the customer desired. Agile methodologies focus on rapid delivery of releases, and Cloud, Big Data, Mobile projects that also focus on such rapid delivery can be a good match for such methodologies.

Cloud facilitates a shorter turnaround for projects and Big Data technologies can process large amounts of data and provide advanced analytic capabilities. Cloud and Big Data projects can leverage the incremental and iterative aspects of Agile methodologies for iterative and incremental feedback to stay on course and reduce the risks. Many development tools now incorporate Agile techniques and these can be leveraged to build desired business solutions including Cloud and Big Data. IBM's Rational Team Concert provides a platform for agile development and related planning.  HP's Application Lifecycle tools and accelerators enable building solutions for agile development. Microsoft Visual Studio and Team Foundation Server support agile development processes. Testing tools should have capabilities to test regularly and move towards automated testing. The key for such projects is to have tools and technologies that support agile, collaborative lifecycle management and regular integration for releases with periodic testing to demonstrate functionality desired by the users.

(This has been extracted from and is reference to Ajay Budhraja's blog)

More Stories By Ajay Budhraja

Ajay Budhraja has over 24 years in Information Technology with experience in areas such as Executive leadership, management, strategic planning, enterprise architecture, system architecture, software engineering, training, methodologies, networks, and databases. He has provided Senior Executive leadership for nationwide and global programs and has implemented integrated Enterprise Information Technology solutions.

Ajay has a Masters in Engineering (Computer Science), and a Masters in Management and Bachelors in Engineering. He is a Project Management Professional certified by the PMI and is also CICM, CSM, ECM (AIIM) Master, SOA, RUP, SEI-CMMI, ITIL-F, Security + certified.

Ajay has led large-scale projects for big organizations and has extensive IT experience related to telecom, business, manufacturing, airlines, finance and government. He has delivered internet based technology solutions and strategies for e-business platforms, portals, mobile e-business, collaboration and content management. He has worked extensively in the areas of application development, infrastructure development, networks, security and has contributed significantly in the areas of Enterprise and Business Transformation, Strategic Planning, Change Management, Technology innovation, Performance management, Agile management and development, Service Oriented Architecture, Cloud.

Ajay has been leading organizations as Senior Executive, he is the Chair for the Federal SOA COP, Chair Cloud Solutions, MidTech Leadership Steering Committee member and has served as President DOL-APAC, AEA-DC, Co-Chair Executive Forum Federal Executive Institute SES Program. As Adjunct Faculty, he has taught courses for several universities. He has received many awards, authored articles and presented papers at worldwide conferences.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


IoT & Smart Cities Stories
CloudEXPO New York 2018, colocated with DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City and will bring together Cloud Computing, FinTech and Blockchain, Digital Transformation, Big Data, Internet of Things, DevOps, AI, Machine Learning and WebRTC to one location.
The best way to leverage your Cloud Expo presence as a sponsor and exhibitor is to plan your news announcements around our events. The press covering Cloud Expo and @ThingsExpo will have access to these releases and will amplify your news announcements. More than two dozen Cloud companies either set deals at our shows or have announced their mergers and acquisitions at Cloud Expo. Product announcements during our show provide your company with the most reach through our targeted audiences.
@DevOpsSummit at Cloud Expo, taking place November 12-13 in New York City, NY, is co-located with 22nd international CloudEXPO | first international DXWorldEXPO and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time t...
Contextual Analytics of various threat data provides a deeper understanding of a given threat and enables identification of unknown threat vectors. In his session at @ThingsExpo, David Dufour, Head of Security Architecture, IoT, Webroot, Inc., discussed how through the use of Big Data analytics and deep data correlation across different threat types, it is possible to gain a better understanding of where, how and to what level of danger a malicious actor poses to an organization, and to determin...
The hierarchical architecture that distributes "compute" within the network specially at the edge can enable new services by harnessing emerging technologies. But Edge-Compute comes at increased cost that needs to be managed and potentially augmented by creative architecture solutions as there will always a catching-up with the capacity demands. Processing power in smartphones has enhanced YoY and there is increasingly spare compute capacity that can be potentially pooled. Uber has successfully ...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
We are seeing a major migration of enterprises applications to the cloud. As cloud and business use of real time applications accelerate, legacy networks are no longer able to architecturally support cloud adoption and deliver the performance and security required by highly distributed enterprises. These outdated solutions have become more costly and complicated to implement, install, manage, and maintain.SD-WAN offers unlimited capabilities for accessing the benefits of the cloud and Internet. ...
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...