AWS is undoubtedly one of the best Cloud service providers to run serious business out there. Reliable and cost-effective. No doubt here. But something utterly wrong with AWS is the experience on their web management console. It is so bad that thousands of developers come using Qovery every month with the only promise of - a better developer experience on top of AWS. Here are the 7 reasons why Qovery is an excellent choice for SaaS startups.

Setting up Cloud Monitoring dashboards for your team can be time consuming because every team's needs are different. Picking the right metrics, using the right visualizations to represent these metrics, deciding what metrics can go on the same chart, and determining the right pre-processing steps for metrics requires background and experience that may not yet exist among your development and operations teams.

Security teams have the tough job of monitoring and securing every single workload in each cloud and for workloads in the development pipeline. Inevitably, these processes wind up being a bottleneck from the developer’s perspective, and developers get frustrated. Understandably, developers feel like security is simply making their jobs harder. But, on the other hand, security teams feel like they’re powerless to provide full coverage.

The rise of public cloud services has enabled businesses to innovate faster, scale effortlessly, and adopt more advanced technologies easier than ever before. However, there’s a dark side to using public cloud services: complexity and cost. Public cloud services can scale to handle almost any workload, but in doing so, they can quickly generate unpredictable costs for your business.

A digital twin is a virtual or digital replica of a physical entity. In the Industrial Internet of Things (IoT) realm, a digital twin is the dynamic virtual copy of a physical framework, a vehicle, a machine, or any device. Most often, a digital twin is developed to carry out simulations before the actual device is manufactured. Today, digital twin is taking the IoT industry by storm and the market is expected to hit $16 billion by 2023.

More and more, we see our clients moving their workloads from clunky on-premise data centers to nimble cloud platforms, orchestrated container environments, such as Kubernetes and Red Hat OpenShift, or a combination of both. The technical aspects of such a migration are typically well-known. Your IT staff does a great job managing these environments: Still, there is one more aspect of managing these environments that is often overlooked — cost.