cloudformation

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System Operations on Aws-lab 7-cloudformation

Cloudformation templates: Create a VPC (containing public subnets, private subnets, respectively, in different AZ), creating Nat,bastion server on the public subnet.1. Modify and run the AWS Cloudformation template1.1 Adding an Ami ID to a template1.1.1 Download TemplateHttps://d2lrzjb0vjvpn5.cloudfront.net/sys-ops/v2.4/lab-7-automating/static/Lab-7-Start-CF.template1.1.2 Replace ImageId ("ImageId": "Ami-b5

Heat-API (cloudformation in openstack) cfntools notes

In the heat-API architecture, the external virtual machine needs to communicate with the Virtual Machine and customize the Virtual Machine in detail. Write down the specific architecture later. Today we will focus on the functions of several scripts in cfntools. Https://github.com/heat-api/heat-jeos) Cfntools Introduction Cfntools is a bunch of auxiliary scripts running in virtual machines. It is generally used to obtain metadata and perform some automated configuration based on metadat

Migrate big data to the cloud using tsunami UDP

(1) to start an Amazon Linux instance in the ap-northeast-1 region (that is, Tokyo), we first need to specify a 10gbit network and ample temporary capacity to save the dataset. For example, you can select an i2.8xlarge Amazon EC2 instance. Of course, c3.4xlarge can be used as a more cost-effective alternative. For more details about available Amazon EC2 instance types, click here to view the Amazon EC2 instance Type page. For convenience, we have created a set of

"Summary" leverages AWS for high availability and cloud disaster preparedness

: Download full MP4 video1. Summary of Churyang Enterprise Cloud can start with disaster preparedness cloud To make applications highly available and resilient, the cloud platform itself should provide disaster preparedness and HA mechanisms for infrastructure and cloud services, such as: Cloud platform itself: cloud-based distributed storage, virtual machine ha, controller disaster Recovery, SDN network disaster recovery, virtual machine data protection Cloud deli

"What should I do with automatic deployment?" 】

Anatomy of AWS CodeDeployAuthor Liu Tao published on May 13, 2015 | Note: GTLC Global Technology Leadership Summit, 500+CTO technical leadership redefined! discussion Share to: Weibo facebooktwitter Youdao Cloud Note email sharing Read later My list of reading At the end of 2014, AWS released three new deployments, management Services Codedeploy, Codecommit and Codepipeline at the "re:invent" conference. Since AWS has already provided deployment and management services suc

Iv. Introduction to OpenStack Components Parsing (Advanced)

agent on each compute node [Storage of data:]Ceilometer storage is also dependent on third-party backend to implement, the default backend database is MongoDB, is a key-value database, of course, now also support other databases including HBase, MySQL, preferred Mangodb.[Third-party system:]The most important way is the third-party system, by calling the Ceilometer API to obtain metering data , set alarm conditions and pre-value, monitoring alarm, further to realize the billing and monitor

Introduction to Heat in the icehouse version

Introduction to Heat in the icehouse versionHeat introduction Heat is the main project of OpenStack responsible For the orchestration plan. It can implement basic operations such as Resource Initialization, dependency processing, and deployment in the cloud environment based on templates, as well as advanced features such as automatic contraction and load balancing. Currently, Heat's template format (HOT) is constantly being improved, and AWS CloudFormation

Golang Custom transports and timeouts

what actually happens on These prepares; Here's what matters: At the time of writing, we run over one million prepares a day Each prepare takes, on average, around 300ms Each prepare is highly concurrent and network I/O intensive (what @kevrone wrote here should give you a hint of the scale of how much data we deal with) Each machine runs prepares concurrently We have 4 c3.large machines We use DataDog as our primary monitoring tool for our AWS

OpenStack Brief (i)

storage# 7.Web Interface--horizon1. Provide a graphical page interface for OpenStack management2. Open and extensible web App3. Unified approach to deploy and manage cloud services and resources# 8. Data Acquisition Kit--ceilonmeter1. Provide data acquisition function of physical and virtual hardware in OpenStack2. Provide the basis for OpenStack monitoring data and on-demand billing# 9.Heat Kit1.Heat is OpenStack's main project for orchestration planning2. It can be based on templates to achie

The new Ubuntu version will integrate OpenStackHavana

enhancement features. A key change in OpenStack Havana involves a metering component codenamed Ceilometer and a cloud orchestration component codenamed Heat. Both components have been used in previous Grizzly versions, but in Havana versions, these two components have become core components. Baker said that Ceilometer provides monitoring and data collection functions, supports customer billing in the public cloud environment, and supports cost sharing to individual departments or users in the p

AWS and OpenStack Service comparison, OpenStack service Chinese translation of English words

Use AWS Services OpenStack Services The Chinese interpretation of OpenStack words Dashboard AWS Console Horizon The horizon of the world; Calculate compute EC2 Nova Star Internet Vpc Neutron Neutron Object storage S3 Swift Swift; agile. Block storage Ebs Cinder Cinder N. Slag Certification Services Iam Keysto

OpenStack Deployment Operations Combat

. Object Storage (Swift) is a distributed, extensible, multi-replica storage system that provides a storage service for objects. Block Storage (Cinder), which provides blocks storage services that provide persistent block-level storage for OpenStack virtual machines. supports a variety of storage backend, including CEPH,EMC and so on. Networking (Neutron) provides network virtualization services, which is a pluggable, extensible, API-driven service. Dashboard provides a grap

Openstack Performance Test Rally

:+------------+----------------+-----------+| services |type| status |+------------+----------------+-----------+| ceilometer | metering | Available || cinder | volume | Available || cinderv2 | volumev2 | Available || ec2 | ec2 | Available || glance | image | Available || heat | cloudformation | Available || heat | orchestration | Available || keystone | identity | Available || neutron | network | Available || nova | compute | Available || novav3 | co

Thoughts on the two billing phenomena of public clouds in China

application market is fully formed, the demand for huge resources is also shaped. However, the time is not "very short", so what ~ Wait, let's see the changes in the market. * Pricing is based on the computing, storage, data transmission, and other costs consumed. For example, AWS provides many free services. These services are free of charge because they are management services and do not consume resources themselves, such as autoscaling services, opsworks, beanstalk, Iam, and

Google wins AWS, and qwiklabs, an online public cloud training platform, is in the pockets

to build their own cloud platforms. Google's qwiklabs will remain open to AWS Training Qwiklabs training courses cover basic cloud training skills, including how to create EC2 instances and how to use Elastic Block Store, load balancing, and auto scaling. It also covers more advanced topics, such as how to use Amazon RDS to provide applications and how to use cloudformation. In total, qwiklabs's current service package contains 13 different catego

Openstack Performance Test Rally

: +--- ---------+----------------+-----------+ | services | type | status | +------------+----------------+-----------+ | Ceilometer | metering | Available | | cinder | volume | Available | | cinderv2 | volumev2 | Available | | ec2 | ec2 | Available | | glance | image | Available | | heat | cloudformation | Available | | heat | orchestration | Available | | keystone | identity | Available | | neutron | network | Available | | nova | compute | Availabl

Confluence 6 Configuring Windows Services

each row of variables. Confluence data center deployed on AWSIf you are using a Quick Start or cloudformation template, deploy Confluence data center to AWS. You need to pass configuration parameters through the Cloud formation Template, please do not use the method described above. In the AWS console, select the Update Stack Enter your system properties in the Catalina properties field in Advanced: -Xm

Docker ~ Deployment in linux, docker ~ Linux deployment

almost all modern IT-related industries.The arrival of the cloud computing ageThe success of AWS has guided developers to migrate their applications to the cloud, solving the hardware management problem. However, problems related to middleware still exist (so both openstack HEAT and AWS cloudformation work hard to solve this problem ). The change in developer thinking provides the possibility.Changes in virtualization MethodsIn the cloud era, standar

Overview of Amazon cloud services in one AWS Series

world-wide content delivery network. EMR: elastic mapreduce, an instance of the hadoop framework, can be used for big data processing. Deployment admin (deployment and management) Elastic beanstalk: one-click creation of various development environments and runtime. Cloudformation: uses a template file in Jason format to create and manage a series of Amazon cloud resources. Opsworks: opsworks allows you to modularize Application Deployment and

OpenStack entry 4: Introduction to Heat in icehouse, openstackicehouse

OpenStack entry 4: Introduction to Heat in icehouse, openstackicehouseHeat IntroductionHeat is the main project in charge of the orchestration plan of OpenStack. It can implement basic operations such as Resource Initialization, dependency processing, and deployment in the cloud environment based on templates, as well as advanced features such as automatic contraction and load balancing. Currently, Heat's template format (HOT) is constantly being improved, and AWS

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