Operations | Monitoring | ITSM | DevOps | Cloud

Gartner predicts that by the end of 2025, 80% of organizations will use cloud automation tools to orchestrate workloads. The firm also forecasts that spending on public cloud services will hit $679 billion by the end of 2024, with SaaS leading the cloud computing market. This surge in cloud spending will shape the future of SaaS, and cloud automation tools will play a key role in this transformation.

Many SaaS companies struggle to get engineers to take charge of costs and lower cloud expenses. Confused business leaders often put the problem on the shoulders of the engineers: Surely, it’s just that the engineers don’t care enough to stay within budget, or maybe they just don’t want to participate in the culture of cost efficiency leadership is trying to build. But what if your engineers actually do want to optimize costs—they just don’t have the tools and data to do so?

Green Operations (GreenOps) is an approach to creating an eco-friendly cloud. The aim is to minimize energy waste, increase renewable resources, and decrease their carbon footprint on the planet. Several public cloud providers are aiming to become carbon-negative. By 2030, Google Cloud plans to operate on carbon-free energy around the clock. Microsoft Azure has committed to being carbon-negative by 2030, and AWS aims to run its operations on 100% renewable energy by 2025.

Managing costs while scaling operations is a challenging balancing act. One significant cost center is cloud infrastructure and its maintenance. This article aims to provide CTOs, VPs, and Head of Engineering with insights on optimizing these expenses. It highlights the benefits of leveraging DevOps Automation Platforms like Qovery to cut up to 5x their Cloud infrastructure costs.

AWS is the most popular cloud service provider partly due to its global data center network. The distribution enables organizations to configure their workloads to meet the needs of their global clients. The thing is AWS Regions charge different rates for almost everything, from compute and storage to data backup and retrieval services. And these cost variances can add up quickly.