Mike Leone

Mike Leone

ESG Senior Analyst Mike Leone covers converged and hyperconverged infrastructure, data platforms, data management, data analytics, and the emerging blockchain segment. Mike joined ESG as part of the validation team, where he provided third-party validation of claims made by vendors. In his analyst role, Mike draws upon his enthusiasm for bleeding edge technology as well as his engineering and marketing backgrounds to help IT vendors improve everything from product development and marketing to go-to-market strategies and roadmap adjustments.

Recent Posts by Mike Leone:

ESG Brief: Workflow Orchestration Your Way with Google Cloud Composer

Abstract:

When complex workflows don’t perform as anticipated, IT can end up spending valuable time addressing infrastructure challenges rather than revenue-generating activities. Google’s Cloud Composer serves as an effective, end-to-end workflow orchestration tool to address the challenges of building, scheduling, and managing complex workflows across diverse environments. With Cloud Composer, Google continues to focus on building integrated solutions that incorporate intelligence and machine learning, while enabling flexibility and portability by being anchored in open source technology.

Topics: Cloud Services & Orchestration

ESG Brief: Enabling Data Center Modernization with Converged and Hyperconverged Infrastructure

Abstract:

As organizations pursue IT modernization initiatives, they are focused on achieving operational excellence, while ensuring that IT can efficiently and effectively respond to the business. Both converged infrastructure (CI) and hyperconverged infrastructure (HCI) solutions contribute to this goal of making organizations more agile not only by making deployment and management of IT infrastructure easier, but also by enabling IT to rapidly respond to the needs of end-users. Whether it allows organizations to build consumable services on a private cloud anchored by CI/HCI, or empowers developers to spin up and down resources themselves at will, a cloud-like experience on-premises is becoming a must-have for organizations looking to modernize their data centers and embark on their digital transformation journeys.

Topics: Converged Infrastructure Cloud Services & Orchestration

ESG Brief: Teradata IntelliCloud: Agility, Security, and Operational Ease

Abstract:

As organizations continue embracing the cloud, Teradata IntelliCloud is enabling organizations with data-driven initiatives to simplify cloud consumption with its as-a-service offering. With support for AWS, Azure, and its own cloud infrastructure across several geographic locations, Teradata continues to put customers first by providing a scalable, highly performing, secure solution in IntelliCloud that satisfies the need for a hybrid approach to data analytics and business intelligence with simplified, self-service management.

Topics: Data Platforms, Analytics, & AI Cloud Services & Orchestration

ESG Brief: Blockchain - Appearing on IT's Ledger

Abstract:

Research conducted by ESG reveals that a healthy number of IT organizations are at least testing the waters of blockchain technology, especially in verticals like financial services, telco, and transportation. As organizations look for ways to leverage blockchain to improve operational efficiency and reduce costs by leveraging a secure, decentralized platform that can help eliminate the middle man of transaction-based aspects of their business, continued proof points across verticals will go a long way to simplify the core concepts and clarify the benefits that organizations can achieve through the disruptive technology in their specific businesses.

Topics: Storage Cybersecurity Data Protection Networking Data Platforms, Analytics, & AI Converged Infrastructure Enterprise Mobility Cloud Services & Orchestration

ESG Brief: 2018 Data Analytics Spending Trends

Abstract:

Most organizations expect to spend more on business intelligence (BI), analytics, and big data technology solutions in 2018 as organizations continue down a path of becoming more data-driven, increasingly in real time. While overall most organizations are earmarking at least some funds for traditional business intelligence, cloud- and edge-based analytics are being prioritized by leading-edge IT consumers.

Topics: Data Platforms, Analytics, & AI IT Spending Intentions