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Michael Arkoosh

Michael Arkoosh is the Director of Technical Optimization at Vega Cloud.

Solving the Challenges of Multi-cloud Cost Management

by Michael Arkoosh

Organizations must implement centralizing cloud spend management. This is particularly important in modern enterprises where multi-cloud costs can easily get out of hand.

Resource Centers

Solving Open Source Complexity With a Multi-tech Approach

Data in Motion

The Benefits of Open Source Apache Cassandra vs Open Core Vendors

Building Your Cloud Center of Excellence

Increase threat visibility with Cloud Security Analytics

Center for Data Pipeline Automation

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Data Gravity and Its Impact on Cloud Strategy

Eli Lahr
The Cost Conundrum of Cloud Computing

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Cloud-Native HA and Kubernetes-driven DR

Don Boxley

Latest Articles

Another Step Toward Digital Twins of the Brain
The Cloud’s Next Chapter: Evolving from Migration to Modernization
Zero Trust at Scale with Identity-Centric Microsegmentation

The Changing Role of IoT in the Age of Real Time
AI Agents are Reasoning with Tools: What MCP Means for Autonomy
Why and How to Modernize Data Governance for the Financial Services Industry
Trucks Bring New Design Challenges to EV Manufacturers
Electric Vehicle Makers Embrace AI and Automation

Featured Resources from

Report: 80% of Real-Time Data Businesses See Revenue Jump

The report also claims there's a potential to squeeze out an additional $2.6 trillion in revenue if more companies made the switch to real-time.

3 Considerations for Adding Real-Time ML to Applications

Data that is ready for machine learning will be observable, supported by real-time infrastructure, and primarily processed with streaming technologies.

We're Only at the Beginning of the Analytics Revolution

One factor that distinguishes a data-driven enterprise is a culture in which data, analytics, and cloud strategies are aligned with business objectives.

Is Process Mining Becoming Another Software Commodity?

There is growing trend of integrating process mining features with BI, and some companies have built solutions on business intelligence tools.

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Featured Resources from

Report: 80% of Real-Time Data Businesses See Revenue Jump

The report also claims there's a potential to squeeze out an additional $2.6 trillion in revenue if more companies made the switch to real-time.

3 Considerations for Adding Real-Time ML to Applications

Data that is ready for machine learning will be observable, supported by real-time infrastructure, and primarily processed with streaming technologies.

We're Only at the Beginning of the Analytics Revolution

One factor that distinguishes a data-driven enterprise is a culture in which data, analytics, and cloud strategies are aligned with business objectives.

Is Process Mining Becoming Another Software Commodity?

There is growing trend of integrating process mining features with BI, and some companies have built solutions on business intelligence tools.

© 2025 CDInsights. All rights reserved.

Submission Guidelines
Do Not Sell My Info
Privacy Policy
Contact

	
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