atrium-odl | integrated vertical stack for SDN deployment | Infrastructure Automation library

by onfsdn Java Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | atrium-odl Summary

atrium-odl is a Java library typically used in Devops, Infrastructure Automation, Ansible applications. atrium-odl has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Atrium is an integrated vertical stack for SDN deployment

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Quality

Security

License

Reuse

Support

atrium-odl has a low active ecosystem.

It has 14 star(s) with 16 fork(s). There are 23 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 6 have been closed. On average issues are closed in 48 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of atrium-odl is current.

Quality

atrium-odl has 0 bugs and 0 code smells.

Security

atrium-odl has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

atrium-odl code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

atrium-odl is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

atrium-odl releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are available. Examples and code snippets are not available.

atrium-odl saves you 4276 person hours of effort in developing the same functionality from scratch.

It has 9067 lines of code, 547 functions and 122 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed atrium-odl and discovered the below as its top functions. This is intended to give you an instant insight into atrium-odl implemented functionality, and help decide if they suit your requirements.

This method is called when an Ip4P packet is received
Decodes the TCP header information from the provided byte array
Gets the node conn ref
Converts the specified byte array into an integer
Called when an ARpP packet received from the network
Send an ARP response to the receiver
Returns an IP address matching the destination Ip
Gets interfaces
Converts a VLAN ID to an ATLAN ID
Returns an interface for the given IP address
Create the connectivity manager
Creates an instance of Routings
Get the BGPPeers
Delete a fringe entry
Called when data has been changed
Get the BgpSpeakers
Delete a host
Get a BGPPeer by IP address
Read FibEntries
Called when an ARP packet is received
This method is called when a packet has been received
Invoked when an Ipv6 packet has been received
Returns the interface for the given connect point
Runs a timer for an IP
Get a BGPSpeaker by MAC address
Creates an AutoCloseable instance

Get all kandi verified functions for this library.

atrium-odl Key Features

No Key Features are available at this moment for atrium-odl.

atrium-odl Examples and Code Snippets

No Code Snippets are available at this moment for atrium-odl.

Community Discussions

Trending Discussions on Infrastructure Automation

Create CloudFormation Yaml from existing RDS DB instance (Aurora PostgreSQL)

Azure DevOps CI with Web Apps for Containers

QUESTION

Create CloudFormation Yaml from existing RDS DB instance (Aurora PostgreSQL)

Asked 2020-Jun-05 at 00:59

I have an RDS DB instance (Aurora PostgreSQL) setup in my AWS account. This was created manually using AWS Console. I now want to create CloudFormation template Yaml for that DB, which I can use to create the DB later if needed. That will also help me replicate the DB in another environment. I would also use that as part of my Infrastructure automation.

...

ANSWER

Answered 2020-Jun-05 at 00:59

Unfortunately, there is no such functionality provided by AWS.

However, you mean hear about two options that people could wrongfully recommend.

CloudFormer

CloudFormer is a template creation beta tool that creates an AWS CloudFormation template from existing AWS resources in your account. You select any supported AWS resources that are running in your account, and CloudFormer creates a template in an Amazon S3 bucket.

Although it sounds good, the tool is no longer maintained and its not reliable (for years in beta).

Importing Existing Resources Into a Stack

Often people mistakenly think that this "generates yaml" for you from existing resources. The truth is that it does not generate template files for you. You have to write your own template which matches your resource exactly, before you can import any resource under control to CloudFormation stack.

Your only options is to manually write the template for the RDS and import it, or look for an external tools that could reverse-engineer yaml templates from existing resources.

Source https://stackoverflow.com/questions/62206364

QUESTION

Azure DevOps CI with Web Apps for Containers

Asked 2020-Mar-16 at 08:59

I'm struggling to set up a CI process for a web application in Azure. I'm used to deploying built code directly into Web Apps in Azure but decided to use docker this time.

In the build pipeline, I build the docker images and push them to an Azure Container Registry, tagged with the latest build number. In the release pipeline (which has DEV, TEST and PROD), I need to deploy those images to the Web Apps of each environment. There are 2 relevant tasks available in Azure releases: "Azure App Service deploy" and "Azure Web App for Containers". Neither of these allow the image source for the Web App to be set to Azure Conntainer Registry. Instead they take custom registry/repository names and set the image source in the Web App to Private Registry, which then requires login and password. I'm also deploying all Azure resources using ARM templates so I don't like the idea of configuring credentials when the 2 resources (the Registry and the Web App) are integrated already. Ideally, I would be able to set the Web App to use the repository and tag in Azure Container Registry that I specify in the release. I even tried to manually configure the Web Apps first with specific repositories and tags, and then tried to change the tags used by the Web Apps with the release (with the tasks I mentioned) but it didn't work. The tags stay the same.

Another option I considered was to configure all Web Apps to specific and permanent repositories and tags (e.g. "dev-latest") from the start (which doesn't fit well with ARM deployments since the containers need to exist in the Registry before the Web Apps can be configured so my infrastructure automation is incomplete), enable "Continuous Deployment" in the Web Apps and then tag the latest pushed repositories accordingly in the release so they would be picked up by Web Apps. I could not find a reasoble way to add tags to existing repositories in the Registry.

What is Azure best practice for CI with containerised web apps? How do people actually build their containers and then deploy them to each environment?

...

ANSWER

Answered 2020-Mar-16 at 08:59

Just set up a CI pipeline for building an image and pushing it to a container registry.

You could then use both Azure App Service deploy and Azure Web App for Containers task to handle the deploy.

The Azure WebApp Container task similar to other built-in Azure tasks, requires an Azure service connection as an input. The Azure service connection stores the credentials to connect from Azure Pipelines or Azure DevOps Server to Azure.

I'm also deploying all Azure resources using ARM templates so I don't like the idea of configuring credentials when the 2 resources (the Registry and the Web App)

You could also be able to Deploy Azure Web App for Containers with ARM and Azure DevOps.

How do people actually build their containers and then deploy them to each environment?

Kindly take a look at below blogs and official doc which may be helpful:

Source https://stackoverflow.com/questions/60693622

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install atrium-odl

Please follow the correct order as given below. If dlux UI + RESTCONF web interface is required, please add following features as well in the order given. feature:install odl-restconf odl-mdsal-apidocs odl-dlux-core.
Copy Atrium Release A VM from https://dl.orangedox.com/TfyGqd73qtcm3lhuaZ/Atrium_2015_A.ova. Start the VM and login as admin/bgprouter. Stop ONOS service using command 'onos-service localhost stop'. Copy the distribution zip/tar file generated after building the source code from distribution-karaf folder to the VM. Unzip the distribution package and run ODL as described above. Start Karaf : Go to /bin , and run ./karaf clean. Install features as suggested above. Verify the configurations (sdnip.json and addresses.json) in /configuration/initial. Setup the topology (in a new shell) by running 'sudo router-test.py'. Note: Latest atrium-odl is integrated with bgppcep application in ODL for receiving RIB updates. This configuration is currently placed in atrium-odl/utils/config/src/main/resources/atrium-bgp-config.xml. Here the details of the Quagga BGP Speaker needs to be updated. The existing config file is fine tuned for the test setup mentioned below and will work without any manual instrumentation if the test setup given below is used. This file will be loaded by default to ODL runtime distribution folder etc/opendaylight/karaf directory.
Copy Atrium Release A VM from https://dl.orangedox.com/TfyGqd73qtcm3lhuaZ/Atrium_2015_A.ova
Start the VM and login as admin/bgprouter
Stop ONOS service using command 'onos-service localhost stop'
Copy the distribution zip/tar file generated after building the source code from distribution-karaf folder to the VM
Unzip the distribution package and run ODL as described above.
Start Karaf : Go to /bin , and run ./karaf clean
Install features as suggested above
Verify the configurations (sdnip.json and addresses.json) in /configuration/initial
Setup the topology (in a new shell) by running 'sudo router-test.py'

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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