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Check out the latest industry insights from Amadis Technologies’ thought leaders and technical experts in our selection of exclusive blogs.
Google BigQuery is a fully managed, serverless, and highly scalable data warehouse that enables organizations to store, manage, and analyze massive datasets efficiently. It supports
What is Azure Container Registry? Azure Container Registry (ACR) is a fully managed container image registry service provided by Microsoft Azure. It allows developers to securely store, manage, and deploy Docker container images efficiently. By leveraging Docker distribution, ACR facilitates the storage and distribution of container images, seamlessly integrating with Azure Kubernetes Service (AKS) and other containerized environments. How Azure Container Registry Works ACR serves as a centralized repository where teams can push, pull, and manage container images. It supports both private and public registries, providing controlled access to stored images. Developers can also integrate ACR with their CI/CD
What is Amazon ECS? Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service designed to simplify the deployment, management, and scaling of containerized applications. It seamlessly integrates with Docker and AWS services such as Amazon Elastic Container Registry (ECR), enabling organizations to provide a scalable and cost-effective environment for running containerized workloads on AWS. How Amazon ECS Works? An Amazon ECS cluster is a logical grouping of tasks or services. Tasks and services are run on infrastructure registered to the cluster, which can include: AWS Fargate: A serverless compute engine that eliminates the need to
What is Databricks? Databricks is a fully managed cloud-based unified analytics platform built on Apache Spark. It provides a collaborative environment for data engineers, data scientists, and analysts to process big data, conduct data science, and implement machine learning workflows. Databricks simplifies the use of Spark by offering a managed environment where users can spin up clusters, collaborate using interactive notebooks, and access various built-in libraries for analytics, machine learning, and data engineering tasks. This platform not only streamlines the development and deployment of big data applications but also promotes an environment of teamwork and innovation, enabling organizations to
Azure SQL Database cost optimization is a much sought after request we get from our customers. Azure SQL Database is a powerful, fully managed database-as-a-service (DBaaS) that eliminates the need for businesses to handle maintenance, security, and reliability. Despite its versatility, effectively managing costs within Azure SQL Database can be complex, especially when dealing with different purchasing models and configuration options. This is where CloudCADI steps in, providing the insights and automation necessary to optimize your Azure SQL Database investments. Azure SQL Database Overview Azure SQL Database offers flexibility with two main purchasing models: vCore-Based Purchasing Model: Customization: Users
Cloud has become an integral component for successful business operations. However, alongside the benefits of cloud computing come the complexities of managing costs effectively. Enter Cloud FinOps, a discipline aimed at optimizing cloud spending while maximizing value. It continues to be one of the top cloud priorities in 2024 and the coming years. As organizations embark on this new journey, numerous questions arise regarding FinOps practices. This article covers a few with responses from our cloud finops experts themselves Kathick Perumal, Product Engineering Head and Mukesh Kumar, our Product Architect who holds profound experience in tackling cloud finops challenges
As businesses continue to embrace Kubernetes for its scalability and agility, cost management becomes increasingly critical. We understand that managing cloud costs can be complex, especially in large and dynamic containerized environments. That’s why we’re here to provide you with practical insights and actionable tips to take control of your Kubernetes spending. In our previous blog on Kubernetes Cost Optimization Best Practices – Part 1, we covered the common cost optimization challenges and a few solutions. Let’s see a few more, Taints & Tolerances In Kubernetes, “taints” and “tolerations” are mechanisms that can be used strategically to optimize costs
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