James Sanders is a Research Analyst on the Cloud & Managed Services Transformation team at 451 Research, a part of S&P Global Market Intelligence. His research examines multi/hybrid cloud deployment strategies and the cloud resource management tools required to contain the increasing complexity of enterprise cloud deployments.
James also contributes to 451 Research's Center of Excellence for Quantum Technology, covering qubit architectures for quantum computers, quantum algorithms/programs and developer tools, and control plane hardware. Quantum computing is an entrant in a broader category of cloud-enabled differentiated silicon, including alternative instruction set architectures (ISAs) for enterprise computing – e.g., POWER, Arm, RISC-V, and FPGA/ASIC solutions – and compute accelerators such as GPUs and in-memory computing. These technologies are increasingly vital for realizing increased performance in a post-Moore's-Law landscape.
Prior to 451 Research, James was a technology journalist for CBS Interactive, covering cloud computing, open source software and hardware, programming trends, quantum computing, and mobile and satellite communication, as well as the impact of globalization on the tech industry, with a focus on Asia.
James is a graduate of Wichita State University.
Observability represents an opportunity for vendors to transcend the limitations of the decades-old infrastructure monitoring. This requires cooperation among vendors to enable enterprises to build an observability portfolio to fit their needs.
The purveyor of Arm-based, enterprise-grade CPUs has announced two customer wins over the past few weeks: Hewlett Packard Enterprise, developer of the HPE GreenLake ground-to-cloud service model, and Google Cloud Platform, which heretofore had been the last holdout among major cloud suppliers in adopting the Arm architecture.
At .conf22, Splunk's annual user conference, new CEO Gary Steele reiterated the company's position as the center of workload observability, touted feature improvements to Splunk Enterprise and Cloud, and explored the influence and importance of security in observability processes.
While the premise of application/infrastructure performance monitoring is decades old, standards and practices in this space are evolving. Vendors increasingly tout workload observability as a refreshed approach to the problem, in support of cloud-native technologies (Kubernetes, serverless functions, etc.) and in response to the needs of practitioners and enterprises today.
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