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Internal Developer Platforms: The Strategic Advantage for Modern Businesses

In today's fast-paced digital landscape, software development teams are constantly pressured to deliver innovative solutions rapidly. Many organizations are turning to Internal Developer Platforms (IDPs) to streamline development processes and enhance developer productivity. Platform engineering is at the heart of IDPs, a crucial discipline in enabling these platforms. This article will explore how platform engineering enables IDPs, what exactly an IDP is, and why it is so valuable. 

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Authentication and authorization with OIDC and Azure AD on ArgoCD

Implement SSO on ArgoCD via OIDC and AzureAD

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Unit Costs in Action: Strategies for Effective Kubernetes Cost Allocation

Explore effective Kubernetes cost allocation through FinOps principles like Shared and Unit Costs. This approach, devoid of specialized tools, utilizes meticulous tagging and manual metrics for precise client-specific allocation, ensuring transparent resource utilization and cost management in the cloud.

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Unit costs

Cloud Waste Management: A Win-Win for Sustainability and Efficiency

Cloud computing has become an essential part of modern business, but it can also be a major source of waste. This waste can have a significant financial and environmental impact.

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Cloud waste

CO2 Emission Dashboard Analysis of the top three Cloud Providers (AWS, Azure, GCP) 

The cloud carbon footprint is a crucial metric that measures the amount of carbon dioxide emissions generated by a company's cloud computing operations. The carbon footprint is calculated by assessing the direct and indirect emissions from the cloud infrastructure and energy used by cloud services.

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Kubernetes cost optimization on AWS 

Running microservices on Kubernetes clusters is a modern way to provide your application to end users and customers. On cloud service providers like AWS it is possible to use EC2 auto-scaling that spins up new compute instances based on the current load of the cluster (dynamic scaling) or predefined quantity in a scheduled time plan.

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