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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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Driving your FinOps strategy with observability best practices

Dynatrace

For example, Amazon Web Services (AWS) charges for data transfer between Amazon EC2 instances within the same region. Are there rogue servers running in the environment where ITOps, CloudOps, or another team can’t assign or identify who’s financially responsible for it? Unnecessary data transfer.

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Bring Your Own Cloud (BYOC) vs. Dedicated Hosting at ScaleGrid

Scalegrid

AWS , Azure. AWS , Azure. AWS , Azure. AWS , Azure. AWS , Azure. AWS , Azure. AWS , Azure. AWS , Azure , DigitalOcean. Are you a startup that has free AWS or Azure hosting credits you’d like to use for your database hosting?

Cloud 242
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What’s the Best PostgreSQL High Availability Framework? PAF vs. repmgr vs. Patroni Infographic

Scalegrid

In these blogs, we dove deep into how the frameworks work, their setup requirements, pros and cons, and how they performed in standby server tests, primary server tests and network isolation tests (split brain scenario) to help you determine the best framework to improve the uptime for your PostgreSQL-powered applications.

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DevOps engineer tools: Deploy, test, evaluate, repeat

Dynatrace

DevOps platform engineers are responsible for cloud platform availability and performance, as well as the efficiency of virtual bandwidth, routers, switches, virtual private networks, firewalls, and network management. Open source CI/CD pipeline tool with extensible server automation for distributed builds and scaling.

DevOps 188
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How to maximize serverless benefits and overcome its challenges

Dynatrace

Despite the name, serverless computing still uses servers. This means companies can access the exact resources they need whenever they need them, rather than paying for server space and computing power they only need occasionally. If servers reach maximum load and capacity in-house, something has to give before adding new services.

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Dynatrace Managed release notes version 1.200

Dynatrace

Cloud Foundry and Azure buttons on Deploy Dynatrace page now open pages in new tabs. For AWS load balancers, more detailed information about the number of affected EC2s is now visualized. Log analysis is now less verbose to avoid overflowing server logs in the case of a large number of runs. APM-247271). Autonomous Cloud.

Azure 242