Difference between revisions of "Talk:Educaship Proxmox"

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(Proxmox Optimization)
 
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Hello, Michel !
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==Proxmox Optimization==
Here are a few brief answers to your questions. Please let me know what else you'd like to know.
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Proxmox optimization involves tuning and configuring the Proxmox Virtual Environment (Proxmox VE) to improve performance, efficiency, and resource utilization within your virtualization infrastructure.
1\. We have multiple Jitsi installations, one of which is in Docker. In this installation, there is no sound at all. Also, when updating Docker, a conference is not created.
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2\. We are experiencing some issues obtaining a certificate for a site running behind Pfsense. Due to the absence of the certificate, the service becomes completely unavailable
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By implementing these optimization techniques, you can maximize the performance, efficiency, and reliability of your Proxmox virtualization environment. Here are some optimization techniques commonly employed:
3\. We have several websites whose databases are combined in a Galera Cluster. We need a solution for these websites' files to have a shared storage. We tried GlusterFS, but it seemed too slow to us. We copied the files to this storage for almost a week, and as a result, the website did not work.
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4\. In some cases, we have used Ansible. We are open to any solution
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===Resource Allocation===
5\. We use Grafana for Proxmox. We would like to add several servers that do not use Proxmox, configure communication channels, and expand monitoring according to our tasks.  
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Ensure that each virtual machine (VM) has an appropriate allocation of CPU, memory, storage, and network resources based on its workload requirements. Over-allocating resources can lead to resource contention and reduced performance.
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===Storage Optimization===
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Use storage technologies like thin provisioning, deduplication, and compression to optimize storage usage and improve performance. Utilize high-speed storage devices such as SSDs for critical VMs to reduce latency.
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===Network Optimization===
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Configure network settings such as MTU (Maximum Transmission Unit) size, VLAN tagging, and NIC bonding to optimize network performance and reliability. Implement network QoS (Quality of Service) policies to prioritize traffic for critical applications.
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===Host and VM Tuning===
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Fine-tune Proxmox host and VM settings such as CPU pinning, memory ballooning, and disk I/O scheduling to optimize performance for specific workloads. Adjust CPU and memory reservations, limits, and shares to ensure fair resource allocation among VMs.
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===Backup and Replication Optimization===
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Optimize backup and replication jobs by scheduling them during off-peak hours to reduce the impact on production workloads. Utilize incremental backups and deduplication to minimize storage usage and improve backup performance.
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===Monitoring and Performance Analysis===
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Use monitoring tools like Proxmox's built-in monitoring features, as well as third-party tools, to monitor system performance metrics such as CPU usage, memory utilization, disk I/O, and network traffic. Analyze performance data to identify bottlenecks and areas for optimization.
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===Security Optimization===
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Implement security best practices such as regular software updates, firewall configuration, and access control to protect Proxmox hosts and VMs from security threats and vulnerabilities.
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===High Availability (HA) Configuration===
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Configure Proxmox HA to ensure high availability and fault tolerance for critical VMs. Utilize features such as automatic VM migration and failover to minimize downtime in the event of host failures.
  
 
==Key Terms==
 
==Key Terms==

Latest revision as of 17:42, 18 April 2024

TSP-1

Proxmox for CNM Farms (hereinafter, #The Project) is the group of endeavors undertaken to advance key aspects of Educaship Proxmox (hereinafter, #The VE) including its functionality, usability, reliability, performance, security, scalability, and user satisfaction.

CNMCyber Team (hereinafter, #We) currently administers #The VE.


Requirements

Business

Business requirements

Prototypes

Prototypes

Stakeholder's

Stakeholder requirements

Deliverable

Deliverable specifications

Work

Work specifications

States

Certainty

State of certainty

Utility

State of utility

Applicability

State of applicability

Controllability

State of controllability

Proxmox Optimization

Proxmox optimization involves tuning and configuring the Proxmox Virtual Environment (Proxmox VE) to improve performance, efficiency, and resource utilization within your virtualization infrastructure.

By implementing these optimization techniques, you can maximize the performance, efficiency, and reliability of your Proxmox virtualization environment. Here are some optimization techniques commonly employed:

Resource Allocation

Ensure that each virtual machine (VM) has an appropriate allocation of CPU, memory, storage, and network resources based on its workload requirements. Over-allocating resources can lead to resource contention and reduced performance.

Storage Optimization

Use storage technologies like thin provisioning, deduplication, and compression to optimize storage usage and improve performance. Utilize high-speed storage devices such as SSDs for critical VMs to reduce latency.

Network Optimization

Configure network settings such as MTU (Maximum Transmission Unit) size, VLAN tagging, and NIC bonding to optimize network performance and reliability. Implement network QoS (Quality of Service) policies to prioritize traffic for critical applications.

Host and VM Tuning

Fine-tune Proxmox host and VM settings such as CPU pinning, memory ballooning, and disk I/O scheduling to optimize performance for specific workloads. Adjust CPU and memory reservations, limits, and shares to ensure fair resource allocation among VMs.

Backup and Replication Optimization

Optimize backup and replication jobs by scheduling them during off-peak hours to reduce the impact on production workloads. Utilize incremental backups and deduplication to minimize storage usage and improve backup performance.

Monitoring and Performance Analysis

Use monitoring tools like Proxmox's built-in monitoring features, as well as third-party tools, to monitor system performance metrics such as CPU usage, memory utilization, disk I/O, and network traffic. Analyze performance data to identify bottlenecks and areas for optimization.

Security Optimization

Implement security best practices such as regular software updates, firewall configuration, and access control to protect Proxmox hosts and VMs from security threats and vulnerabilities.

High Availability (HA) Configuration

Configure Proxmox HA to ensure high availability and fault tolerance for critical VMs. Utilize features such as automatic VM migration and failover to minimize downtime in the event of host failures.

Key Terms

The VE

The Project

We