Operations | Monitoring | ITSM | DevOps | Cloud

Using SquaredUp, you can query Azure Resource Graph with KQL to pull Change history, Azure Service Health and maintenance schedules. For the uninitiated, Azure Resource Graph is a series of tables holding information on Azure resources and how they are related. Its data is used many places within Azure itself (such as the Azure Portal’s native search) and it’s data can help us with many use cases as it is designed to help with queries at scale.

We believe in expanding our arsenal to accommodate your evolving needs. That’s why we are thrilled to announce that Applications Manager now provides wider performance monitoring support for Azure! The latest version of ManageEngine Applications Manager extends its monitoring support to 11 additional Azure services, empowering you to gain deeper insights into the health and performance of your entire cloud environment. Let’s take a look at the newly supported services.

Applications Manager now supports Azure security services, container services, integration services, storage sync services, app service plans, and more.

Most organizations migrate to the Amazon Web Services (AWS) public cloud from on-premises data centers. However, others have switched from another Infrastructure-as-a-Service (IaaS) platform to AWS. The most common reason we hear for choosing AWS is cost savings. As the largest public cloud provider, AWS leverages economies of scale, making its cloud services more affordable than those a company would have to build itself. Yet, not every organization can claim that AWS has saved it money.

Cloud storage solutions can provide public sector organisations with a high degree of flexibility when it comes to their storage needs, either public cloud based, or in their own private clouds. In our previous blog post we looked at the economic differences between these two approaches. In this blog we will explore some of the security best practices when using cloud storage, so that you can ensure that sensitive data remains securely stored and compliance objectives are met.

If you’re working in the cloud, you’re part of a rapidly growing industry. Global spending on public cloud services is set to double, reaching $482 billion in 2024, up from $243 billion in 2019, with a compound annual growth rate (CAGR) of 16.5% What’s the takeaway? With organizations increasingly depending on cloud services, managing costs effectively is a must. Otherwise, the expenses will pile up, and money will flow down.

Businesses are increasingly interested in cloud economics. For instance, what are the financial implications of moving to the cloud versus staying on-premises? And what’s the best strategy for optimizing cloud consumption to get the best value from cloud resources? In this guide, we’ll look at some of the key concepts of economics in cloud computing, and how your business can leverage cloud cost intelligence to maximize the value of your cloud investment.

When planning a migration from Heroku to AWS, it’s essential to grasp the complexities inherent in transitioning from a managed Platform as a Service (PaaS) like Heroku to the intricacies of Infrastructure as a Service (IaaS) provided by AWS. This shift demands not just an adaptation to a different architectural framework but also a strategic approach to overcome operational and technical challenges that can significantly affect both performance and cost efficiency.

Apache Spark, a framework for parallel distributed data processing, has become a popular choice for building streaming applications, data lake houses and big data extract-transform-load data processing (ETL). It is horizontally scalable, fault-tolerant, and performs well at high scale.