Myth #2: Multicloud is too complicated

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Organizations can leverage the benefits of different cloud providers to optimize performance, costs, and compliance. By strategically distributing workloads, companies can achieve greater flexibility, scalability, and geographic reach. For example, a global online retailer that relies on high-quality images to enhance the customer experience uses an edge computing service provider along with the AWS cloud platform for intensive computing tasks such as image processing.

An edge-optimized platform can execute lightweight JavaScript code at the edge of a content delivery network (CDN). This brings computing power closer to end users, reducing latency and improving performance. When a user requests an image, the edge platform intercepts the request, fetches the original image from the server, and applies optimizations such as resizing and compression based on the user’s device and network conditions. This reduces the load on origin servers, speeds up content delivery, and reduces bandwidth costs.

To solve complex image processing problems, retailers can use cloud-based image and video analytics and machine learning services to efficiently process large volumes of images, extract valuable insights, and deliver personalized experiences.

By combining edge computing and imaging services, online retailers can achieve increased performance, scalability, and cost efficiency, demonstrating the multifaceted benefits of a multi-cloud approach.

We often hear that managing multiple clouds adds bosnia and herzegovina mobile database complexity. However, modern tools and best practices can help address these issues. Open source technologies such as Kubernetes and Jenkins play a key role in simplifying multi-cloud management.

Kubernetes’ unified orchestration layer allows organizations to easily manage workloads across multiple cloud environments. For example, you can use Kubernetes to orchestrate containers and Jenkins to automate CI/CD. Kubernetes makes it easy to consistently deploy microservices-based applications across development, testing, and production environments. Features such as service discovery, load balancing, autoscaling, and self-healing help ensure high availability and reliability.

Jenkins streamlines development and deployment processes. Its high degree of customization and wide range of plugins make it adaptable to different clouds and tools. Jenkins integrates with various cloud platforms and version control systems, ensuring a smooth operation of the CI/CD pipeline. In a multi-cloud environment, Jenkins can scale horizontally to handle different workloads, ensuring the efficiency of CI/CD processes even in dynamic environments.

The combination of Kubernetes and Jenkins allows you to reduce manual work, improve observability, and maintain consistency across multiple cloud environments.

Myth #3: Multicloud is more expensive