Operations | Monitoring | ITSM | DevOps | Cloud

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.

AWS ALB was developed to simplify the management of modern web traffic while enhancing application scalability, security, and performance. And like any other AWS service, understanding AWS ALB pricing is essential for managing cloud costs effectively. This guide offers a comprehensive overview of AWS ALB, detailing its key use cases and pricing structure.

The cloud has revolutionized business operations by enabling greater flexibility, scalability and cost efficiency. Companies can now rapidly adapt to changing market conditions, scale resources on demand, and reduce operational costs by eliminating the need for extensive on-premises hardware. You must implement cloud migration strategies to make certain the migration makes sense for your business, optimizes performance and enhances security.

As businesses increasingly rely on Microsoft SaaS and Azure-based applications to support their distributed workforce, ensuring optimal performance and user experience becomes crucial. With complex corporate network architectures like SDWAN, Secure Access Service Edge (SASE), or Cloud Access Security Brokers (CASB), and a reliance on Microsoft’s vast network architecture, monitoring and troubleshooting performance issues can be challenging.

Trying to find the best virtual machine on the market that gives you the flexibility of easy scalability and the promise of a secure network – and doesn’t cost an arm and a leg (and maybe another arm)? Azure VM is likely the best solution for you… assuming you can project costs correctly. However, Azure doesn’t make it easy with its different offerings and pricing models.