Cloud provider instance types

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  1. Cloud Provider Instance Types: A Guide for MediaWiki Administrators

This article provides a comprehensive overview of cloud provider instance types commonly used for hosting a MediaWiki 1.40 installation. Choosing the correct instance type is critical for performance, scalability, and cost efficiency. We will cover key considerations and popular instance families from major cloud providers. This guide is geared towards newcomers to server administration and assumes a basic understanding of virtual machines and cloud computing concepts. See also Server Requirements for baseline needs.

Understanding Instance Types

Cloud providers offer a vast array of instance types, each optimized for different workloads. These types differ in vCPU (virtual CPU) count, memory (RAM), storage options (SSD, HDD), network performance, and cost. Selecting the right instance involves balancing these factors based on your MediaWiki's specific needs. Factors to consider include:

  • Traffic Volume: Higher traffic necessitates more CPU and memory.
  • Database Size: Large databases require more storage and potentially faster storage (SSD). See Database Configuration for details.
  • Extensions: Complex extensions (e.g., Semantic MediaWiki, VisualEditor) increase resource requirements.
  • User Count: A larger user base demands more resources for concurrent sessions.
  • Budget: Cost is a significant factor; optimize for performance within your budget. Consider Cost Optimization techniques.

Amazon Web Services (AWS) Instance Types

AWS offers a wide variety of instance families. Here are a few commonly used for MediaWiki:

Instance Family Description vCPUs Memory (GiB) Storage Suitable For
t3.medium General purpose, burstable performance. Good for low to moderate traffic. 2 4 EBS only Small to medium-sized wikis.
m5.large Balanced compute, memory, and networking. Reliable for most workloads. 2 8 EBS only Medium-sized wikis with moderate traffic.
r5.large Memory-optimized for demanding applications. 2 16 EBS only Large wikis with complex extensions or high caching needs. See Caching Configuration.
c5.large Compute-optimized for CPU-intensive tasks. 2 8 EBS only Wikis performing a lot of complex calculations or utilizing advanced features.

For more detailed information, refer to the AWS Instance Types documentation. Always monitor CPU utilization and memory usage using Monitoring Tools to determine if resizing is needed.

Google Cloud Platform (GCP) Instance Types

GCP also provides a variety of instance types. Here's a selection relevant to MediaWiki deployments:

Machine Type vCPUs Memory (GiB) Disk Options Suitable For
e2-medium 2 4 HDD, SSD Small to medium-sized wikis. Cost-effective.
n1-standard-2 2 7.6 HDD, SSD Medium-sized wikis with moderate traffic.
n1-highmem-4 4 15.3 HDD, SSD Large wikis with complex extensions or high caching needs.
c2-standard-4 4 15.3 HDD, SSD CPU intensive tasks, like large import jobs.

See the GCP Machine Types documentation for a complete list and specifications. Consider using Managed Instance Groups for scalability.

Microsoft Azure Instance Types

Azure offers virtual machines (VMs) that can be used to host MediaWiki. Here's a simplified table with common options:

VM Size vCPUs Memory (GiB) Storage Suitable For
B2ms 2 8 SSD Small to medium-sized wikis.
D2s_v3 2 16 SSD Medium-sized wikis with moderate traffic and database size.
E4s_v3 4 32 SSD Large wikis with high traffic and complex extensions.
F2s_v2 2 8 HDD Cost-effective option for wikis with less frequent access.

Refer to the Azure Virtual Machine Sizes documentation for comprehensive details. Azure provides Autoscaling features for dynamic resource allocation.

Storage Considerations

Regardless of the cloud provider, the choice of storage is critical.

  • SSD (Solid State Drive): Preferred for databases and frequently accessed files (images, JavaScript, CSS). Offers significantly faster read/write speeds. See Database Performance Tuning.
  • HDD (Hard Disk Drive): Suitable for archiving infrequently accessed data. More cost-effective for large storage volumes but slower performance.

Consider using a separate EBS volume (AWS), Persistent Disk (GCP), or Managed Disk (Azure) for your MediaWiki database to improve performance and scalability.

Conclusion

Selecting the appropriate cloud provider instance type is a crucial step in setting up a successful MediaWiki deployment. Carefully assess your wiki's requirements, budget, and growth projections. Regularly monitor resource utilization and adjust your instance size as needed to ensure optimal performance and cost efficiency. Don't forget to explore Load Balancing for high availability and scalability. Finally, remember to consult the official documentation for each cloud provider for the most up-to-date information.


Intel-Based Server Configurations

Configuration Specifications Benchmark
Core i7-6700K/7700 Server 64 GB DDR4, NVMe SSD 2 x 512 GB CPU Benchmark: 8046
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Core i9-9900K Server 128 GB DDR4, NVMe SSD 2 x 1 TB CPU Benchmark: 49969
Core i9-13900 Server (64GB) 64 GB RAM, 2x2 TB NVMe SSD
Core i9-13900 Server (128GB) 128 GB RAM, 2x2 TB NVMe SSD
Core i5-13500 Server (64GB) 64 GB RAM, 2x500 GB NVMe SSD
Core i5-13500 Server (128GB) 128 GB RAM, 2x500 GB NVMe SSD
Core i5-13500 Workstation 64 GB DDR5 RAM, 2 NVMe SSD, NVIDIA RTX 4000

AMD-Based Server Configurations

Configuration Specifications Benchmark
Ryzen 5 3600 Server 64 GB RAM, 2x480 GB NVMe CPU Benchmark: 17849
Ryzen 7 7700 Server 64 GB DDR5 RAM, 2x1 TB NVMe CPU Benchmark: 35224
Ryzen 9 5950X Server 128 GB RAM, 2x4 TB NVMe CPU Benchmark: 46045
Ryzen 9 7950X Server 128 GB DDR5 ECC, 2x2 TB NVMe CPU Benchmark: 63561
EPYC 7502P Server (128GB/1TB) 128 GB RAM, 1 TB NVMe CPU Benchmark: 48021
EPYC 7502P Server (128GB/2TB) 128 GB RAM, 2 TB NVMe CPU Benchmark: 48021
EPYC 7502P Server (128GB/4TB) 128 GB RAM, 2x2 TB NVMe CPU Benchmark: 48021
EPYC 7502P Server (256GB/1TB) 256 GB RAM, 1 TB NVMe CPU Benchmark: 48021
EPYC 7502P Server (256GB/4TB) 256 GB RAM, 2x2 TB NVMe CPU Benchmark: 48021
EPYC 9454P Server 256 GB RAM, 2x2 TB NVMe

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