Operations | Monitoring | ITSM | DevOps | Cloud

FinOps is an evolving concept increasingly practiced in cloud computing organizations to manage and optimize their infrastructure cost. It requires team collaboration among Finance, Engineering and IT Operations to gain a deep understanding of the expenditure, take financial accountability, and make informed decisions to maximize the business performance.

Many organizations migrate their workloads to the cloud or begin leveraging what the cloud offers. However, to keep their businesses up and running during this process, organizations still require integrating their systems in the cloud, like Dynamics365, Salesforce, and ServiceNow, with Azure Integration Services (AIS) and potentially on-premises. One crucial aspect of such integrations is keeping them healthy and available, which requires monitoring and diagnostics.

Distributed tracing is the functionality to trace requests or messages flowing through different systems or environments like frontend, Backend, middleware. Distributed tracing brings connectivity or visibility of various services using a unique identifier. This identifier is passed to different services to correlate them as a single flow. We track data from different services with distributed tracing, but how do we visualize them? Visualization is a tedious task.

It’s the end of another year, and we’re sitting down and scrolling through memories that defined our 2024 journey at Turbo360. We weren’t just building a product; we were creating something that would change how businesses see cloud management. This isn’t just another corporate year-end recap – it’s a story of growth, and the incredible community that’s been riding alongside us.

Efficient cloud management starts with visibility. Turbo360, an advanced Azure monitoring and cost management platform, not only provides this visibility but also transforms it into actionable insights, empowering organizations to optimize their Microsoft cloud investments. At its core, Turbo360 blends platform, solution, and infrastructure monitoring combined with cost management, offering a unified solution for complex Azure environments.

Azure Virtual Machines (VMs) offer a powerful and scalable way to run workloads in the cloud. However, their flexibility comes with a cost that can quickly spiral out of control if not managed effectively. This blog will guide you through understanding your Azure VM costs, explore best practices for optimization, and introduce a powerful tool “Turbo360” to help you save even more.

Azure offers diverse cloud resources that empower businesses, but managing costs can be challenging without a clear view of expenses per resource. For organizations, understanding Azure costs per resource is essential to optimize spending, predict expenses, and make data-driven decisions. This blog will guide you through calculating and monitoring costs for individual Azure resources, using native tools like Azure Cost Management, and providing tips on reducing unnecessary expenses.

If you’re using Azure SQL Database for your applications or business, you’ve probably noticed that while the service is amazing for scalability and management, it can get expensive pretty fast. That’s where Azure SQL reservations come in. It is an awesome way to save money. In this blog, we’re going to break down what Azure SQL reservations are, how they work, and why you might want to consider them for your organization. Let’s dive in, shall we?

Azure, Microsoft’s cloud platform, has become an essential part of modern businesses, offering a vast array of services and resources. However, effective cost management in Azure is crucial to avoid unexpected expenses and optimize spending. While Azure provides its native tools for cost management, several third-party solutions offer advanced features and capabilities to help you make the most of your Azure resources. This blog will explore the top 24 Azure cost management tools.

The Business Activity Monitoring (BAM) module is designed to shift support “left,” meaning it empowers support operators to identify and address issues earlier in the process by providing them with a business-friendly view of the underlying complex infrastructure. This makes it easier for operators to understand and manage critical processes without needing to have expert skills in the technical complexities of Azure.