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Moving ChartMogul to AWS and Kubernetes

Chart Mogul

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. Ultimately, we decided to go with AWS.

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Building a Data Engineering Stack That Boosts Scalability

Chart Mogul

The company’s sole analyst at that time used AWS Athena to query them from the S3 bucket, created additional materialized views to combine and aggregate them, and visualized them into dashboards with Superset using its AWS Athena connector. We used our daily AWS RDS snapshots and loaded them daily to Snowflake tables.

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Frontegg Announces $5M Seed Round for First of Its Kind SaaS-as-a-Service Platform Aimed at Accelerating Global SaaS Innovation

Frontegg

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.

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Unlocking Agility and Scalability: Harnessing the Power of Cloud Computing

Valerian Tech

Serverless platforms, such as AWS Lambda and Azure Functions, automatically scale resources based on demand, providing agility and cost optimization. Containers and Kubernetes: Containers have transformed application deployment and management, enabling lightweight and portable software packaging.

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SaaS Applications Architecture – The How

Frontegg

As explained in the first part of this series, we clearly saw why Software-as-a-Service (SaaS) is the way to go when it comes to establishing self-serving applications that can be scaled up and developed fast(er). Scale up (or down) fast Better Latency – Access points all around the world for better performance.