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A few months ago, we retired our last pieces of infrastructure on DigitalOcean, marking our migration to AWS as complete. Our journey was not your regular AWS migration as it involved moving our infrastructure from classic VMs to containers orchestrated by Kubernetes. Lack of modern cloud features and managed services.
SaaS is a profitable, smooth, and manageable methodology. These SaaS ecosystems are often under-utilized and very costly to configure, manage, and maintain. Just make sure you have automated your database governance and management before doing so. Related: Common Security Pitfalls of User Management. instead of Python.
Before AWS, engineering teams had to scale their own infrastructure. Before Kubernetes, DevOps teams were confined to assembling their own container orchestration and management solutions. We are confident that Frontegg is about to revolutionize the SaaS market, like Wix did for Web Development and Gong for Sales.”.
It allows developers to focus on writing code without worrying about infrastructure management. Serverless platforms, such as AWS Lambda and Azure Functions, automatically scale resources based on demand, providing agility and cost optimization. It provides flexibility and scalability for cloud-native applications.
Decision-makers still rely on ChartMogul charts and segments to analyze our subscription data, but as we started collecting a lot more different types of data from a lot more sources, we needed a sustainable data management plan for our growing team. We used our daily AWS RDS snapshots and loaded them daily to Snowflake tables.
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