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

Scalegrid

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. Over the last few weeks, we have been inundated with requests from SMB customers looking to improve the ROI on their database hosting. MongoDB® Database. EC2 instances.

Azure 344
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Storage Autoscaling With Percona Operator for MongoDB

Percona

Previously, deploying and maintaining a database usually meant many burdensome chores and repetitive tasks to ensure proper functioning. In the cloud era, however, developers and operation engineers started fully embracing automation tools making their job significantly easier. kubectl annotate pvc --all resize.topolvm.io/storage_limit="100Gi"

Storage 106
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Percona Server for MongoDB 7 Is Now Available

Percona

Databases are different from a lot of software. This is not a general rule, but as databases are responsible for a core layer of any IT system – data storage and processing — they require reliability. Why choose Percona Server for MongoDB? Why release Percona Server for MongoDB 7 now?

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Making it Easier to Manage a Production PostgreSQL Database

Scalegrid

PostgreSQL is an amazing relational database. However, beyond just the features, there are other important aspects of a database that need to be considered. However, beyond just the features, there are other important aspects of a database that need to be considered. Why not have this built it into the server?

Database 184
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DBaaS Pros & Cons

Scalegrid

In today’s rapidly evolving digital landscape, the way we manage databases is undergoing a transformative shift. The rise of Database-as-a-Service (DBaaS) is not just a trend but a strategic response to the growing complexities of data management. However, using a database as a service is not without its set of challenges.

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How To Reduce the Costs of Database Management in Financial Services

Percona

Below, we outline some proactive steps for achieving cost efficiency and maintaining performant database environments amid a turbulent economy: 1. Here are a few ways you can scale down and save: Audit your systems: Auditing your system for unused servers and eliminating those servers can reduce your cloud spend.

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Optimize your environment: Unveiling Dynatrace Hyper-V extension for enhanced performance and efficient troubleshooting

Dynatrace

Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. We’ve worked with our partners and customers to internalize the Hyper-V observability practices they have developed over years of experience running Hyper-V.