Enterprise Technology & Cloud Services / Cloud infrastructure

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From Drift to Discipline: Operating Model for Regaining Enterprise Cloud Control

From Drift to Discipline: Operating Model for Regaining Enterprise Cloud Control

Today's enterprise innovations, including AI and real-time solutions, rely heavily on cloud infrastructure. However, many organizations face challenges like cloud sprawl and security risks, highlighting the need for more cohesive and proactive infrastructure management.


What are some key challenges that enterprises face in managing their cloud infrastructure?
Enterprises often encounter challenges such as cloud sprawl and security risks. Cloud sprawl refers to the uncontrolled proliferation of cloud services, leading to inefficiencies and increased costs. Security risks arise from inadequate management of access controls and data protection, which can expose organizations to cyber threats.
Sources: [1]
How can enterprises effectively regain control over their cloud infrastructure?
To regain control, enterprises should develop a comprehensive cloud strategy that includes a clear migration plan, strong governance frameworks, and robust security measures. Implementing automation for network management, ensuring proper network segmentation, and leveraging AI for operational efficiency are also crucial. Additionally, understanding the shared responsibility model with cloud service providers is essential for maintaining security.
Sources: [1], [2]

18 July, 2025
DZone.com

Kishore Jeeri on Building Intelligent, Scalable Platforms for the AI Era

Kishore Jeeri on Building Intelligent, Scalable Platforms for the AI Era

Enterprise cloud strategies are evolving as digital platforms expand, shifting from traditional migrations to intelligent systems that optimize operations in real-time. PwC’s Cloud and AI Business Survey reveals that 92% of businesses are embracing this transformative approach.


What does it mean to build an intelligent, scalable platform in the context of the AI era?
Building an intelligent, scalable platform involves creating systems that can efficiently handle increasing workloads and data volumes while incorporating AI capabilities to optimize operations in real-time. This requires disciplined engineering practices to ensure platforms are fast, resilient, and ready for hypergrowth, enabling businesses to adapt quickly to evolving demands and leverage AI-driven insights for operational efficiency.
Sources: [1]
How are enterprise cloud strategies evolving with the adoption of AI-driven intelligent systems?
Enterprise cloud strategies are shifting from traditional cloud migrations to the development of intelligent systems that optimize operations in real-time. According to PwC’s Cloud and AI Business Survey, 92% of businesses are adopting this transformative approach, which involves integrating AI to enhance scalability, automate processes, and improve decision-making, thereby enabling more agile and efficient digital platforms.
Sources: [1]

17 July, 2025
AI Time Journal

Article: Engineering Principles for Building a Successful Cloud-Prem Solution

Article: Engineering Principles for Building a Successful Cloud-Prem Solution

Cloud-Prem solutions merge cloud efficiency with on-premise control, addressing data sovereignty and compliance needs. This innovative approach optimizes operational costs and boosts customer security, as highlighted by Satyam Dhar's insights into modern data management strategies.


What is a Cloud-Prem solution and how does it differ from traditional cloud or on-premise setups?
A Cloud-Prem solution combines the efficiency and scalability of cloud computing with the control and security of on-premise infrastructure. Unlike traditional cloud solutions that store and manage data entirely off-site, or on-premise solutions that rely solely on local hardware, Cloud-Prem merges these approaches to address data sovereignty, compliance, and operational cost optimization while enhancing customer security.
Why do organizations choose Cloud-Prem solutions over purely cloud-based or on-premise systems?
Organizations opt for Cloud-Prem solutions to balance the benefits of cloud scalability and cost efficiency with the need for strict data control and compliance. This approach is particularly valuable for industries with stringent security and regulatory requirements, as it allows them to maintain sensitive data on-premise while leveraging cloud capabilities for flexibility and operational efficiency.
Sources: [1]

26 June, 2025
InfoQ

Pure Enterprise Data Cloud bundles its IP for business outcomes

Pure Enterprise Data Cloud bundles its IP for business outcomes

An all-flash evangelist enhances its Enterprise Data Cloud by integrating storage management and as-a-service solutions, while also expanding hardware offerings with high-performance arrays and a groundbreaking 300TB flash module, promising significant advancements in data storage technology.


What is the Pure Enterprise Data Cloud (EDC) and how does it improve data storage management?
The Pure Enterprise Data Cloud (EDC) is a unified data management platform that integrates Pure Storage's existing technologies—Purity storage OS, Fusion, Pure1, and Evergreen—into a single cloud-like storage management environment. It provides enhanced visibility, policy-driven management, and orchestration of storage, server, networking, and application configurations across on-premises, hybrid, and cloud environments. This unified approach simplifies management, reduces silos, and supports as-a-service consumption models, enabling businesses to better control and automate their data storage operations.
Sources: [1], [2]
What role does Pure Fusion play within the Enterprise Data Cloud?
Pure Fusion acts as a storage-as-code control plane within the Enterprise Data Cloud, enabling centralized management of all storage arrays as endpoints in a unified data mesh. It automates complex deployment configurations through intelligent presets that handle quality-of-service, protection levels, and performance requirements. Fusion streamlines storage fleet management from a single interface and supports automated workflows that integrate storage with computing, networking, and applications, facilitating complex tasks such as multi-site database replication and cloud integration.
Sources: [1], [2]

18 June, 2025
ComputerWeekly.com

Oracle scores cloud customer – maybe China's TEMU - that wants any available server, anytime, anywhere

Oracle scores cloud customer – maybe China's TEMU - that wants any available server, anytime, anywhere

Oracle reports impressive revenue growth driven by soaring demand for cloud services, particularly in Infrastructure as a Service (IaaS). The company attributes its success to an astronomical and insatiable market appetite, surpassing its own financial forecasts.


What does it mean for a cloud customer to want 'any available server, anytime, anywhere'?
This phrase means the customer requires highly flexible, on-demand access to cloud computing resources across multiple regions and availability domains, with the ability to rapidly scale up or down based on workload needs. Oracle Cloud Infrastructure supports this by offering global regions, availability domains for redundancy, and on-demand provisioning of compute, storage, and networking resources, ensuring customers can deploy workloads wherever and whenever needed[1][2][4].
Sources: [1], [2], [3]
How does Oracle Cloud Infrastructure ensure high availability and performance for demanding customers?
Oracle Cloud Infrastructure ensures high availability and performance by leveraging multiple regions and availability domains, which are isolated data centers within a region. This architecture provides redundancy and fault tolerance. Oracle also offers robust Service Level Agreements (SLAs) for availability, manageability, and performance, guaranteeing uptime and consistent performance for enterprise workloads[1][4][5].
Sources: [1], [2], [3]

12 June, 2025
The Register

Maximizing Cloud Cost Efficiency: Intelligent Management of Non-Production Environments

Maximizing Cloud Cost Efficiency: Intelligent Management of Non-Production Environments

Organizations in cloud computing can significantly reduce infrastructure costs by optimizing non-production environments like development and testing. The article highlights misconceptions about resource management and emphasizes the benefits of modern cloud technologies for efficient operations.


How can organizations optimize non-production environments to reduce cloud costs?
Organizations can optimize non-production environments by implementing strategies such as monitoring resource usage, rightsizing instances, using reserved instances or savings plans, and automating the start/stop of resources. This helps reduce unnecessary costs while maintaining efficiency and agility in development and testing processes.
Sources: [1], [2]
What are the benefits of using shared environments for non-production workloads?
Using shared environments for non-production workloads can significantly reduce cloud costs by minimizing the need for separate resources for each team. This approach also simplifies infrastructure management while maintaining security through access controls and resource isolation.
Sources: [1]

03 June, 2025
DZone.com

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