Reducing Your Database Hosting Costs: DigitalOcean vs. AWS vs. Azure

If you’re hosting your databases in the cloud, choosing the right cloud service provider is a significant decision to make for your long-term hosting costs. This is especially apparent in today's world where organizations are doing whatever they can to optimize and reduce their costs. Over the last few weeks, we have been inundated with requests from SMB customers looking to improve the ROI on their database hosting. In this article, we are going to compare three of the most popular cloud providers, AWS vs. Azure vs. DigitalOcean for their database hosting costs for MongoDB® database to help you decide which cloud is best for your business.

Comparing Cloud Instance Costs

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How to Improve MySQL AWS Performance 2X Over Amazon RDS at The Same Cost

AWS is the #1 cloud provider for open-source database hosting, and the go-to cloud for MySQL deployments. As organizations continue to migrate to the cloud, it’s important to get in front of performance issues, such as high latency, low throughput, and replication lag with higher distances between your users and cloud infrastructure. While many AWS users default to their managed database solution, Amazon RDS, there are alternatives available that can improve your MySQL performance on AWS through advanced customization options and unlimited EC2 instance type support. ScaleGrid offers a compelling alternative to hosting MySQL on AWS that offers better performance, more control, and no cloud vendor lock-in and the same price as Amazon RDS. In this post, we compare the performance of MySQL Amazon RDS vs. MySQL Hosting at ScaleGrid on AWS High Performance instances.

TLDR

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Going global on EC2

Since its inception, Amazon EC2 has enabled companies to run highly scalable infrastructure with minimal overhead.  Over the years, Amazon Web Services has expanded with new offerings and additional regions around the world.

All this growth has made establishing a global footprint easier than ever.  And yet, most EC2 customers still choose to operate in a single region.  While this is fine for many applications, customers with significant web infrastructure are depriving users of drastically improved performance.  Deploying infrastructure in EC2's new regions cuts out one of the biggest sources of latency: distance.

In this post, I describe how Bizo significantly reduced load times by implementing Global Server Load Balancing (GSLB) to distribute traffic across all Amazon regions.

Click here to read more on Bizo's dev blog