Azure Stack HCI is a virtualized workload solution from Microsoft that allows businesses to run Windows and Linux apps and services in a hybrid on-premise/cloud environment. Built on top of Windows Server, Azure Stack HCI is an example of hyper-converged infrastructure (HCI). This technology virtualizes conventionally hardware-defined systems like storage and networking to create flexible, efficient infrastructure solutions.

ESXi clusters involve a combination of ESXi hosts, VMware services, and vCenter to optimize load balancing, availability, and resource management for virtual machines (VMs). These clusters feature a vCenter server that centralizes the management process to facilitate shared resources that drive higher availability, scalability, and load-balancing capabilities.

Implementing SLAs, SLIs, and SLOs is essential for effective monitoring and maintaining optimal system performance. As companies grow, they may add a significant number of KPIs that burden their IT assets, leading to system sluggishness and employee complaints. Developers must balance business needs with IT processes, and SLAs, SLIs, and SLOs can help them achieve this balance.

PostgreSQL and MySQL are two of the most popular open-source databases available today. They both provide the database backend for an untold number of web applications, enterprise software packages, and data science projects. The two databases share some similarities in that they both adhere to the SQL standard. However, there are some key differences that might influence your decision to choose one over the other.

Performance monitoring has become increasingly important for operations teams in today’s rapidly changing digital landscape. The DORA metrics are essential tools used to measure the performance of a DevOps team and ensure that all members work efficiently and collaboratively toward their goals. Here, we’ll explore what exactly DORA metrics are, how they work, and why companies should be paying attention to them if they want to set up an effective DevOps environment.

You might think that firewalls and SD-WAN are two completely unrelated technologies. However, integrating these innovations improves network availability, optimizes network performance, and adds an extra layer of security to your organization. Learn more about firewalls and SD-WAN and why you should combine them.

For businesses and organizations that need reliable, secure servers to host data, applications, or services around the world, Linux is often the platform of choice. From powering websites to managing network infrastructure to running enterprise databases, there are countless reasons people have turned to Linux as their go-to server solution over the past few decades.

Data hygiene is a critical but often overlooked concept for businesses of all sizes. Think of any activity that involves the use and storage of data, like customer relationship management (CRM), marketing automation, customer service, or analytics; then add in trends like increasing regulations and customer expectations around privacy. Data hygiene needs to be on the top of your list when you’re managing customer relationships across multiple channels.

Machine learning affects nearly every aspect of our daily lives. To understand how this technology works and how you can use machine learning, it’s necessary to know the difference between unsupervised and supervised machine learning. The following are essential points regarding the different aspects of unsupervised and supervised machine learning.

OpenShift is a platform that allows developers and operations engineers, or even DevOps professionals, to run containerized applications and workloads. Under the hood, it’s powered by Kubernetes, but there’s an additional architectural layer that makes life simpler for DevOps teams. OpenShift is from enterprise software specialist Red Hat and provides a range of automation options and lifecycle management, regardless of where you choose to run your applications.