[NAE 01] Локальное окружение для проекта (Hrzn)
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The document outlines the local project environment infrastructure including: 1. The structure includes self-hosted infrastructure like Cisco ASA and an ESXi cluster, as well as cloud services from Cloudflare and Scaleway. Deployments are done with Terraform and Ansible VMs. 2. Naming conventions are used for environments, projects, clusters, servers, and domains. 3. Configuration management is used for environments, projects, hosts, and other resources. Playbooks are used to setup initial configurations, databases, clusters, users, DNS, monitoring and more. 4. Tools used include Terraform, Ansible, Vagrant, VirtualBox, Jenkins, and a custom tool called
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Container Orchestration
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HaaS: HPCC Systems as a Service – BYOD to the Cloud Party
From the 2017 HPCC Systems Community Day:
Amazon Web Services (AWS) is the premier IaaS provider. It leads the pack by offering more and better services at lower prices. Furthermore, AWS continuously improves and innovates to stay in front. There are numerous reasons to use an IaaS for HPCC Systems instead of dedicated hardware, especially if the workload does not execute 24/7.
AWS has developed several features and tools for launching clusters. CloudFormation provides users a tool to make creating and managing an AWS resources much easier. Foremost it consists of a template (CFT) that defines resources required. The template is parameterizable and flexible so that a single CFT can launch an HPCC Systems cluster with an arbitrary number of nodes, various amount of memory per node, and other configuration options. Second, an Amazon Machine Image (AMI) contains the information needed to launch a compute node, with appropriate software, and configure it for a specific operation. We developed a CFT and an AMI for HPCC Systems.
Additionally, we developed a reference architecture for HPCC Systems in AWS. It is a typical N+1 cluster, N worker nodes and one node (or mode) for cluster wide services such as Dali. The architecture also has storage (i.e., EBS volumes) and networking (i.e., VPN) resources. Significant effort was expended to determine the best set of resources for HPCC Systems clusters.
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Vince Freeh
Associate Professor, North Carolina State University
Vincent W. Freeh is an associate professor of computer science at North Carolina State University. He received his Ph.D. in 1996 from the University of Arizona. His research focus is high-performance system software, with emphasis on filesystems, parallel and distributed systems, power-aware computing, and storage systems. Prof Freeh teaches courses in the above research areas as well as in compilers. He has more than 55 referred publications in numerous computer science conferences and scientific journals. He received an NSF CAREER Award and several IBM Faculty Development Awards. He was a captain in the US Army Corps of Engineers before entering graduate school for his MS.
Chin-Jung Hsu
PhD Student, North Carolina State University
Chin-Jung Hsu is a Ph.D. candidate in Computer Science at North Carolina State University. His primary research interests include distributed systems, storage systems, and performance optimization. He interned at NetApp and AT&T Research Lab, where he applied machine learning techniques to distributed storage systems for ensuring performance guarantees. Chin-Jung is currently working on how to efficiently run HPCC Systems applications on the public clouds such as AWS and Azure.
3 installation-setup-of-r3
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- 1. Локальное окружение для проекта (hrzn) Докладчики: Александр Кныш (DevOps Engineer) Михаил Багров (DevOps Engineer) git@bitbucket.org:nasio/devops-infrastructure.git
- 2. Agenda: The global infrastructure overview The structure of a particular environment’s infrastructure Naming-conventions: services, clusters, projects Services Configuration Management External resources and backups Roles separation Playbooks for environments population nastool - the projects and environments population tool
- 4. Environment Structure Cloud services(Cloudflare, Scaleway) Self-hosted infra(Cisco ASA, Esxi-cluster) Deployments(Esxi with Terraform, Ansible VMs population) Vagrant, Scaleway population with Terraform(not implemented yet))
- 5. Naming conventions Environments (types) Projects (quantity) Clusters (entrypoints) Servers (quantity) Domains (naming conventions)
- 7. Outer shared resources Backup servers Monitoring (to be done)
- 9. Playboobs initial setup DBs, clusters users management dns zabbix-agent etc. k
- 10. Tools and technologies Terraform Ansible Vagrant Virtualbox Running the playbooks periodically with Jenkins And the most powerful tool - nastool.sh
- 11. Setup local environment Set the environment up Provisioning services and cluster Add to monitoring Deploy Application (hrzn)
- 12. Вопросы?