Few practices exemplify the impact of DevOps more than Infrastructure as Code (IaC). Anyone who remembers hearing “I don’t know why it’s not working; it worked on my machine …” can vouch for this! IaC provides a standard way to create declarative descriptions of infrastructure to represent desired environment states — essentially allowing teams to manage IT infrastructure using configuration files.
As companies migrate to the cloud, they often overlook costs, instead focusing on innovation, speed, and flexibility. They assume the cloud is inherently cost-effective and less costly than on-premise infrastructure. As they expand their cloud operations, though, organizations soon realize that the same things that make the cloud alluring and extensively flexible, can also potentially push usage bills way beyond budget.
As cloud adoption continues to increase, organizations are recognizing the need for cloud operations. CloudOps, as it’s often called, has become the industry standard for cloud-powered enterprises that intend to get the most out of their cloud services. Previously, it was common for organizations to rush into cloud adoption, with IT operations handling cloud installation, management, and maintenance tasks.
Many organizations are considering migrating to Kubernetes, and while it certainly has advantages, it’s not for everyone. In this article, we’ll explain why you might use Kubernetes, what you should ask yourself before embarking on a Kubernetes migration, and tips to keep in mind as you make the switch.
As an engineer, engineering supervisor, or CTO, you are responsible for making architectural decisions that help your team create innovative products and optimize technology costs. The type of architecture you select affects how much control you have over data, infrastructure, and customization options. The Software-as-a-Service (SaaS) model is one of the major architectures you can use to deliver services to customers — anytime and anywhere.
According to Statista, the mass volume of data created, stored, copied, and consumed in 2020 was over 64 zettabytes (ZB), or about 64 trillion gigabytes (GB). This is expected to rise to 181 ZB by the year 2025. A large portion of this data is likely to be significant to your business. It can provide you with new insights that help you improve your product, communicate with consumers, and perform risk analysis. However, you’ll need the right tools to extract, sort, process, and analyze it.