Amazon Web Services (AWS) is a great platform for DevOps and FinOps teams for several reasons. It provides a wide range of services, supports extensive automation, and includes strong collaboration tools. Despite this, AWS can be a complex ecosystem that makes cloud management challenging. The good news is that AWS also offers a suite of tools to help you apply DevOps best practices and cloud cost optimization.

As your organization scales its applications across many different cloud and SaaS providers, it becomes more challenging to understand your costs. You likely receive your bill at the end of the month, meaning you don’t have real-time visibility into who’s spending what and which services or applications your teams are spending the most on. Changing service costs also makes it difficult to break down your costs and identify what is driving spend, leaving you unable to take action.

In this blog, we walk through Atlassian's cloud security practices and the controls we give you inside Bitbucket to maintain enterprise-grade security, without the overhead of managing it internally. Security is an essential part of Atlassian's offerings. We manage code and data for over 300,000 customers who serve hundreds of millions of users. To secure data at the scale we operate, we invest more in security than most individual organizations can.

Undoubtedly, AI is our future—which means it’s past time to integrate machine learning models into your FinOps multi-cloud tech stack. AI turns simple tasks into something that can be executed at the click of a button. With well-trained models, FinOps, MSPs, and Enterprises can automate cost detection, forecasting, and anomaly identification, streamlining complex financial operations without increasing their workforce. The good news?

Azure Cost Optimization is one of the key factors to achieving a solid return on investment using the cloud. The more we use the resources, the more we have to pay increasing the Azure spend. But it is more important to keep an eye on the amount spent on the resources. Azure Cost Optimization is crucial for organizations leveraging Microsoft Azure to ensure they are using cloud resources efficiently, avoiding unnecessary expenses, and maximizing the value of their investment.

Organizations need highly scalable compute capacity in the cloud to handle fluctuating workloads. This ensures they can meet peak demand without over-provisioning resources or incurring unnecessary costs during low activity periods. Amazon EC2 offers one of the most flexible, on-demand infrastructures that can be scaled to meet business needs. Yet, it isn’t suitable for everyone. In this guide, we’ll explore why that is and share the best EC2 alternatives to consider. But first, a quick recap.

For SharePoint Online administrators managing large environments, keeping track of storage usage is crucial to maintaining performance and controlling costs. One key factor contributing to storage consumption is document versioning. By default, SharePoint Online keeps up to 500 major versions of each document, and with frequent updates, this can quickly add up.