Operations | Monitoring | ITSM | DevOps | Cloud

Turbo360

A Comprehensive guide to auto-shutdown idle Azure VMs to maximize cost savings

Virtual Machines (VMs) act as the foundation for the evolution of cloud computing. Business organizations utilizing virtualization for their applications will operate flawlessly only when the corresponding VM resources function without interruptions. A cloud enterprise’s expenditure on VM resources is frequently high, as pricing varies according to its service tier.

Unlock significant cost savings with Azure VM Reservations

Azure VM Reservations are the best solution for optimizing cloud expenses. Users can obtain discounted prices for virtual machines in Microsoft Azure by committing to a one- or three-year term. This strategic approach ensures predictable costs, enhances budget management, and is ideal for workloads with consistent resource requirements. Leveraging Azure VM Reservations empowers businesses to achieve significant cost savings while maintaining flexibility and scalability in the cloud infrastructure.

Azure Cosmos DB Cost Optimization to avoid unforeseen expenses

Cost optimization is critical to managing any cloud-based service, including Azure Cosmos DB. Azure Cosmos DB is a globally distributed, multi-model database service that allows you to scale your storage and throughput across regions. Although it offers a highly scalable and flexible platform for creating applications, Azure Cosmos DB cost optimization is important to ensure efficient resource utilization, avoid unforeseen expenses, and estimate costs more accurately.

Azure Logic Apps costs optimization to maximize savings

The Logic Apps are cloud-based resources provided by Azure, which can be integrated with various systems and services with minimal code implementation. The Logic App uses elements like connectors, triggers, and workflows for optimal performance. The utilization of each component influences the overall cost of the Logic App.

Azure Horizontal vs Vertical Scaling: Which is Right for You?

Scalability in cloud computing refers to the system’s ability to handle changing workloads efficiently. It allows seamless resource adjustments based on demand, optimizing performance, cost, and resource utilization. Key benefits include improved flexibility, cost efficiency, high availability, and enhanced user experience. Scalability is essential for adapting to dynamic business requirements and ensuring the optimal functioning of cloud-based applications and services.

What's New in Serverless360: Scaling VMs up/down, Azure Automation runbooks management & monitoring.

Serverless360's latest update, version 3.2.0, brings a suite of enhancements. These include Azure Automation runbooks management and monitoring, Scaling VMs up/down between different service tiers in schedules, Synapse pipelines in optimization schedules, and much more.

Azure VM Rightsizing for Performance Excellence and Cost Control

Azure Virtual machines are one of the computing services offered by Azure. Azure VMs provide flexibility and agility, enabling organizations to swiftly deploy and scale applications without investing in and maintaining on-premises hardware. Azure VMs are fundamental in creating and managing the Azure cloud infrastructure. The concept of Azure VM rightsizing involves choosing the most suitable VM size for your workloads based on the resource requirements.

Optimize Azure App Service costs professionally for peak savings

Azure App Service is a platform as a service (PaaS) that enables developers to make, deploy, and scale web apps, mobile backends, and RESTful APIs efficiently. A powerful component of an organization’s cloud strategy, Azure App Service offers numerous advantages in terms of development, deployment, and operations.

Azure App Service rightsizing to maximize cost efficiency

Azure App Service rightsizing refers to adjusting the computing size allocated to an Azure App Service plan to achieve an optimal balance between cost and performance. It involves analyzing the resource utilization and selecting an appropriate computing power to meet your performance requirements while minimizing costs. Optimizing App service plan sizes is crucial for cost efficiency and performance enhancement.

Architecting modern data platforms: A deep dive on Azure

In this episode of the Azure on Air podcast, Erwin Stall, an experienced Azure architect from Xpirit, shares insights into modernizing a monolithic data platform on Azure. The conversation dives into key aspects such as data storage and management, centralized data storage, team flexibility, choosing the right data platform, Microsoft Azure Fabric's limitations and potential, and much more. Also, listen to Azure on Air on.