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OAMLab · Operation and Maintenance Laboratory

Reduce Costs · Increase Efficiency · Keep Security · Empower

Mission：

Continuous empowerment makes it easier for enterprises to operate their Internet businesses.

Vision：

Let the enterprise focus on its core business.

Values：

Match word to deed, Knowledge and action are one.

Laboratory Address：

International database access address：

Open source operation and maintenance laboratory address：https://github.com/oamlab
Laboratory project warehouse address：https://github.com/oamlab?tab=repositories

Domestic data warehouse access address：

Open source operation and maintenance laboratory address：https://gitee.com/oamlab/oamlab
Laboratory project warehouse address：https://gitee.com/oamlab/projects

OAMlab Introduction：

OAMLab is an operation and maintenance technology laboratory formed by a number of senior operation and maintenance technicians in the Internet industry. It continues to explore the ecological construction capabilities and technical support capabilities of Internet infrastructure, involving the following:

1,Cloud Computing-KVM: virsh, Openstack

2,Cloud Computing-Container：docker、Kubernetes

3,Distributed Storage: Hadoop, Hbase, Ceph

4,Data
DataBase: Mysql, MariaDB
DataCache: Redis
Object Storage: Mongodb, Minio

5,Log Analysis: Elasticsearch, Logstash, Kibana

6,Load Balance: Nginx-quic, HTTP/3, LVS, Keepalived, CDN

7,DevSecOps Toolset(CI-CT-CD):
CI: Git, GitLab, Jenkins
CT-White Box Testing-Static Testing
CT-Black Box Testing-Dynamic Testing
CT-API-Interface Testing
CD-Ansible,IaC

8,Security: Security Threat Modeling, Firewall, WAF, Automatic Defense, User Permissions And File Permissions, Honeypot Technology, Chaos Engineering And Disaster Recovery Plan

9,Monitor: Nagios, Cacti, Zabbix, Prometheus, etc

10,Message Queue: RabbitMQ, kafka, etc

Continuous Empowerment：

Support enterprises to have all the computing power, hardware IO capabilities, and enterprise business data privacy capabilities of private clouds (proprietary clouds, hybrid clouds, and middleware); hardware resources can be exclusively used at any time to respond to sudden business needs.
Holding transferable private cloud fixed assets, the general business scale can reach 10 to 100 ordinary servers with 1024G memory, and build a high-performance matrix of business applications with 1,000 to 10,000 Pods.
One-stop enterprise software R&D efficiency DevSecOps toolset planning consultant, software factory* software production* assembly line* business software version release capabilities as fast as hourly.
Accumulated years of multi-project computer room construction capabilities, cost optimization and production experience of thousands of servers, and budgeted low ownership costs for enterprises for three or five to ten years.
Ready-to-use middleware technology templates, focus on compatibility, focus on business migration and migration capabilities, and respond to various business scenarios of enterprises.
Senior security operation and maintenance consultant support matrix, many technical experts with many years in the industry.
High-availability architecture of primary and backup disaster recovery, and ready-to-use data backup planning.
Construction plan of two locations and three centers.
Based on the concept of zero trust, continuous verification.
Cost optimization, cost reduction and efficiency improvement.
Focus on SLA

Reference for Private Cloud Project Construction Scale：

*Preliminary estimates show that the monthly cost of using 32GB of memory is about RMB 100; after three or five to ten years of continuous use, the monthly cost will be lower.

Micro: 3 to 10 physical hosts with 1024GB memory + x public cloud VM hosts = Kubernetes(k8s) + 300 to 2000 Pods + DevOps toolset
Small: 10 to 30 physical hosts with 1024GB memory + x public cloud VM hosts = Kubernetes(k8s) + 1000 to 6000 Pods + DevOps toolset
Medium: 30 to 100 physical hosts with 1024 GB memory + x public cloud VM hosts = Kubernetes(k8s) + 3000 to 20000 Pods + DevSecOps toolset
Large: 100 to 1,000 or more physical hosts with 1024GB of memory = OpenStack + Kubernetes(k8s) + 10,000 to 200,000+ Pods + DevSecOps toolset