This Universe report assesses vendors offering container management products that can be deployed anywhere, on the cloud and on-premises. It is a companion to Omdia Universe: Cloud Container Management & Services, 2024–25.
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Container Management and Runtime Tracker – 2024
Data / 27 Jun 2024 / Michael Azoff
Views the container management and runtime market by container as a service (CaaS) from public cloud providers and container management products. Kubernetes solutions mostly drive container management, but alternate solutions are available.
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Omdia Universe: Cloud Container Management & Services, 2024–25
Vendor Assessment / 30 Aug 2024 / Michael Azoff
This Universe report assesses the performance of container management and related services hosted on public clouds, including solutions based on Kubernetes. It is a companion to Omdia Universe: Container Management Products, 2024–25 .
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Serverless Computing Tracker – 2024
Data / 28 May 2024 / Michael Azoff
Provides historical and forecast (2024–28) revenue estimates for three categories of the serverless computing market: serverless compute, serverless storage, and serverless application/services integration.
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Omdia Universe: Serverless Services Solutions, 2023
Vendor Assessment / 31 Jan 2023 / Michael Azoff
Serverless computing fully automates all aspects of running cloud infrastructure: provisioning, administration, configuration, and maintenance, from servers to databases. This report compares leading solutions.
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The Analyst Team
Michael Azoff
Follow AnalystChief Analyst, Cloud Native Computing
Michael is a chief analyst on Omdia’s cloud and data center team, where he covers a range of topics related to the cloud, data center, AI, software development, Agile, and DevOps. He also provides consulting to clients and support for Informa Tech events, with a focus on cloud native computing.
Michael was previously a consulting analyst at GigaOm, covering AI and software development. Prior to this, he was chief analyst at Kisaco Research, where he introduced an analyst chart on AI chips. Michael was also a distinguished analyst at Informa companies, including Ovum, for 17 years. After completing his PhD in solid-state electronics at the University of Sheffield (England), Michael worked at Rutherford Appleton Laboratory and published academic papers. He went into R&D, built neural networks, launched a startup for his Prognostica Microsoft Excel add-in for time series forecasting, and published a book, Neural Network Time Series: Forecasting of Financial Markets.
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These are Omdia driven recommendations based on content that is both similar, and has been frequently visited by other users in combination with the content you are currently viewing.
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