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

Scalegrid

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. We compare AWS vs. Azure vs. DigitalOcean using the below instance types: AWS.

Azure 344
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The Best Way to Host MySQL on Azure Cloud

Scalegrid

So many default to Amazon RDS, when MySQL performs exceptionally well on Azure Cloud. While Microsoft Azure does offer a managed solution, Azure Database, the solution has some major limitations you should know about before migrating your MySQL deployments. The Best Way to Host MySQL on Azure Cloud Click To Tweet.

Azure 219
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The Best Way to Host MongoDB on DigitalOcean

Scalegrid

While you may assume a great majority of the cloud database deployments are run on AWS, Azure, or Google Cloud Platform, small to medium-sized businesses in particular are gravitating towards the developer-friendly cloud provider, DigitalOcean , for their hosting for MongoDB® needs. DigitalOcean Advantages for MongoDB.

Azure 187
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AWS EKS Monitoring as a Self-Service with Dynatrace

Dynatrace

AWS EKS for Integration and Production. When focusing on the LanguageController service we learn that it’s currently deployed in three pods across three EKS nodes across two AWS Availability Zones (AZ). 4 AWS EFS monitoring. Their technology stack looks like this: Spring Boot-based Microservices. NGINX as an API Gateway.

AWS 128
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Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. AWS for builds. We did this as AWS was cost-prohibitive.

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Getting ready! A taste of what’s to come at Perform 2020’s “Release Better Software Faster” track

Dynatrace

Jenkins, XebiaLabs, Azure DevOps, AWS CodePipeline, keptn); how to automate monitoring roll-out , tagging best practices and dashboard creation as well as setting up SLA monitoring through synthetics. We’ll go over how to integrate Dynatrace with your load & performance testing tools (e.g.

DevOps 38
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Best Practice for Creating Indexes on your MySQL Tables

High Scalability

By having appropriate indexes on your MySQL tables, you can greatly enhance the performance of SELECT queries. During this time, you are also likely to experience a degraded performance of queries as your system resources are busy in index-creation work as well.