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Hi everyone,
I’m looking for insights and advice on how to effectively manage and optimize costs in a multi-cloud environment. As more organizations adopt multi-cloud strategies, cost optimization becomes a critical challenge.
Here are a few areas I’m curious about:
Cost Monitoring Tools: What tools or platforms do you recommend for monitoring and analyzing multi-cloud spending?
Rightsizing Resources: How do you ensure you’re using the right-sized instances or services to avoid over-provisioning?
Avoiding Redundancy: How do you identify and eliminate redundant services or resources across clouds?
Vendor-Specific Cost-Saving Features: Have you found any vendor-specific features (e.g., reserved instances, spot instances) particularly effective?
Automation: How much can automation (e.g., auto-scaling, scheduled shutdowns) help reduce costs?
Governance Policies: What are your strategies for enforcing cost-control policies across teams or departments?
I’d love to hear about your experiences, tools, or strategies that have worked for you. Any tips or resources you can share would be greatly appreciated!
Thanks in advance for your help!
Raquel Mathew
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With the rise of cloud computing, mobile devices, IoT, and bring your own device (BYOD) policies, the traditional perimeter-based security model is breaking down. As employees, customers, and devices connect from anywhere at any time, identity has become the new perimeter.
The primary goals of Identity and Access Management are to provide single sign-on access, strengthen authentication security, enforce authorization and access policies, and audit access activity across an organization's digital infrastructure and ecosystem of cloud, mobile and internet-connected applications, services and devices.
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Virtualization software is a sophisticated solution that creates an abstraction layer over physical hardware, allowing organizations to run two or more virtual operating systems (OS) on a single platform. This technology provides flexibility, scalability, reliability, and enhanced security, making it suitable for disaster recovery, minimizing downtime, boosting productivity, enabling instant provisioning, and optimizing overall operational efficiency. As a result of these advantages, virtualization software is widely utilized across various industrial sectors. Currently, it is available in several types, including network, storage, application, and hardware virtualization.
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With the exponential growth of data and usage of cloud services, the need for efficient and optimized data center operations has never been greater. Data centers are now under immense pressure to scale up infrastructure quickly and reduce costs while improving response times and security. This is where data automation comes into play. Data automation refers to the use of software, virtualization, and other technologies to automate tasks that were traditionally done manually in data centers.
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Data Center Automation: Data Automation A Game-Changer in IT Infrastructure
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