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Kubernetes in the wild report 2023

Dynatrace

Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Accordingly, for classic database use cases, organizations use a variety of relational databases and document stores.

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The Importance of Selecting the Proper Azure VM Size

SQL Performance

Migrating an on-premises SQL Server instance to an Azure Virtual Machine (VM) is a common method to migrate to Azure. IT professionals are familiar with scoping the size of VMs with regards to vCPU, memory, and storage capacity. You'll see the types referenced as Family in the Azure Portal when sizing a VM. Generation.

Azure 76
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SQL Server On Linux: Forced Unit Access (Fua) Internals

SQL Server According to Bob

SQL Server relies on Forced-Unit-Access (Fua) I/O subsystem capabilities to provide data durability, detailed in the following documents: SQL Server 2000 I/O Basic and SQL Server I/O Basics, Chapter 2. Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. Description.

Servers 90
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Django Highlights: Wrangling Static Assets And Media Files (Part 4)

Smashing Magazine

Today, we’ll address storing and serving files for both single-server and scalable deployments while considering factors like compression, caching, and availability. We’ll also discuss the costs and benefits of CDNs and dedicated file storage solutions. For more details, see the Django documentation. Media Files. Media Files.

Media 70
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MongoDB Database Backup: Best Practices & Expert Tips

Percona

Cons of logical backups As it reads all data, it can be slow and will require disk reads too for databases that are larger than the RAM available for the WT cache—the WT cache pressure increases, which slows down the performance. Especially if going into or out of storage types that may throttle bandwidth/network traffic.

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

High Scalability

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

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Optimizing CDN Management Using Terraform

IO River

It’s not just limited to cloud resources like AWS and Azure; Terraform is versatile, extending its capabilities to key performance areas like Content Delivery Network (CDN) management, ensuring efficient content delivery and optimal user experience.‍Started ‍Terraform is a revolution in the way we handle infrastructure.