IT DSP Findings & Recommendations

Findings and Recommendations City of Berkeley: Digital Strategic Plan and Cost Allocation Plan

October 17, 2016 v5.1


Enterprise Architecture


Cloud Solutions / Cloud Services Broker Policies Findings:

Cloud computing came into existence in the late 1990s and became a widely used solution in the 2000’s. Cloud computing allows users to benefit from shared infrastructure, software, and application technologies, without the need for deep knowledge about or expertise with each one of them. The cloud aims to cut costs, and helps the users focus on their core business instead of being impeded by IT operation obstacles. Recommendations:  Explore and deploy a cloud computing environment meeting the evolving needs of the City using one or more cloud computing solutions:  Infrastructure as a service (IaaS), providing computers, physical or virtual machines, and other resources  Platform as a service (PaaS), providing a computing platform, typically including operating system, programming language execution environment, database, and web servers. Application developers develop and run software solutions on a cloud platform without the cost and complexity of buying and managing the underlying hardware and software layers  Software as a service (SaaS): cloud providers install and operate application software in the cloud and cloud users access the software from cloud clients. Cloud users do not manage the cloud infrastructure and platform where the application runs, eliminating the need to install and run the application on the cloud user's own computers, which simplifies maintenance and support  Prepare a rigorous specification for implementing a flexible cloud environment.  Play close attention to the “pay-as-you-go” cost structure offered by cloud vendors.  Carry out a pilot project to test the performance and total cost of cloud solutions.  Monitor cloud performance. Benefits:  Provides tools and technologies to build data/compute intensive parallel applications with more affordable costs compared to traditional parallel computing techniques.  Improved scalability and elasticity via dynamic ("on-demand") provisioning of resources on a fine-grained, self-service basis in near real-time.  Possible cost reductions, by converting capital expenditures to operational expenditures.  Device and location independence, providing access to systems / applications using a web browser regardless of location or device, e.g., PC, laptop, smart phone, or tablets.  Easier maintenance of cloud computing applications.  Multi-tenancy enabling shared resources/costs across a large pool of users allowing:  Centralization of infrastructure in locations with lower costs, e.g., real estate  Peak-load capacity increases  Utilization improvements based on system utilization levels  Monitored performance, with consistent architectures constructed using web services as the system interface  Reduced risk and liability, with the use of multiple redundant sites, offering business continuity and disaster recovery.

Digital Strategic Plan: Findings & Recommendations

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