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Lattice is an open source project for running containerized workloads on a cluster. Lattice bundles up http load-balancing, a cluster scheduler, log aggregation/streaming and health management into an easy-to-deploy and easy-to-use package.
Lattice is based on a number of open source Cloud Foundry components:
- Diego schedules and monitors containerized workloads
- Loggregator aggregates and streams application logs
- Gorouter provides http load-balancing
A local deployment of Lattice can be launched with Vagrant.
A scalable cluster deployment of Lattice can be launched with Terraform. We currently support AWS, DigitalOcean, Google Cloud and Openstack.
The Lattice CLI ltc
provides a command line interface for launching docker-based applications.
More complex workloads can be constructed and submitted directly to Lattice's Receptor API which is fully documented here.
Make sure you have Vagrant installed (version 1.6 or better), then:
git clone https://github.com/cloudfoundry-incubator/lattice.git
cd lattice
git checkout <VERSION>
vagrant up
This spins up a virtual environment that is accessible at 192.168.11.11
. Here, VERSION
refers to the tagged version you wish to deploy. These tagged versions are known to be stable.
Use the Lattice CLI to target Lattice:
ltc target 192.168.11.11.xip.io
NOTE: Ubuntu 14.04 LTS does not install a compatible version of vagrant by default. You can upgrade the version that you get out of the box by downloading the
.deb
file from Vagrant.
You can do this with either VirtualBox or VMware Fusion (version 7 or later):
Virtualbox:
vagrant up --provider virtualbox
VMware Fusion:
vagrant up --provider vmware_fusion
If you are trying to run both the VirtualBox and VMWare providers on the same machine, you'll need to run them on different private networks (subnets) that do not conflict.
Set the System IP to an address that does not conflict with the host networking configuration by passing the
LATTICE_SYSTEM_IP
environment variable to the vagrant up command:
LATTICE_SYSTEM_IP=192.168.80.100 vagrant up
ltc target 192.168.80.100.xip.io
By default, vagrant up
will fetch the latest Lattice binary tarball. To use a particular tarball:
VAGRANT_LATTICE_TAR_PATH=/path/to/lattice.tgz vagrant up
Currently, Lattice does not support updating via provision. So to update, you have to destroy the box and bring it back up:
vagrant destroy --force
git pull
vagrant up
Follow these instructions to install a co-located Lattice cluster to a server that's already deployed. (e.g., vSphere)
Install the vagrant-proxyconf
plugin as follows:
vagrant plugin install vagrant-proxyconf
Copy the following into ~/.vagrant.d/Vagrantfile
:
Vagrant.configure("2") do |config|
if Vagrant.has_plugin?("vagrant-proxyconf")
config.proxy.http = "http://PROXY_IP:PROXY_PORT"
config.proxy.https = "http://PROXY_IP:PROXY_PORT"
config.proxy.no_proxy = "localhost,127.0.0.1,.consul"
end
end
Then proceed with HTTP_PROXY=http://PROXY_IP:PROXY_PORT vagrant up
.
DNS resolution for xip.io
addresses can sometimes be flaky, resulting in errors such as the following:
ltc target 192.168.11.11.xip.io
Error verifying target: Get http://receptor.192.168.11.11.xip.io/v1/desired_lrps:
dial tcp: lookup receptor.192.168.11.11.xip.io: no such host
First, check your networking DNS settings. Local "forwarding DNS" servers provided by some home routers can have trouble resolving xip.io
addresses. Try setting your DNS to point to your real upstream DNS servers, or alternatively try using Google DNS by using 8.8.8.8
and/or 8.8.4.4
.
Unfortunately xip.io
itself also sometimes returns similar "no such host" errors. The recommended alternative is to follow the dnsmasq instructions, pass the LATTICE_SYSTEM_DOMAIN
environment variable to the vagrant up command, and target using lattice.dev
instead of 192.168.11.11.xip.io
to point to the cluster, as follows:
LATTICE_SYSTEM_DOMAIN=lattice.dev vagrant up
ltc target lattice.dev
If you have trouble running vagrant up --provider virtualbox
with the error
default: Warning: Remote connection disconnect. Retrying...
default: Warning: Authentication failure. Retrying...
...
try upgrading to the latest VirtualBox.
This repository contains several Terraform templates to help you deploy on your choice of IaaS. To deploy Lattice in this way you will need:
-
Credentials for your choice of IaaS
-
Lattice Recommended Not Supported v0.2.5 Terraform 0.5.0+ v0.2.4 Terraform 0.4.2 Terraform 0.5 v0.2.3 Terraform 0.3.7 Terraform 0.4
Here are some step-by-step instructions for deploying a Lattice cluster via Terraform:
- Visit the Lattice GitHub Releases page
- Select the Lattice version you wish to deploy and download the Terraform example file for your target platform. The filename will be
lattice.<platform>.tf
- Create an empty folder and place the
lattice.<platform>.tf
file in that folder. - Update the
lattice.<platform>.tf
by filling in the values for the variables. Instructions for each supported platform are here:
- Amazon Web Services
- DigitalOcean
- Google Cloud
- Openstack
- Note: This is a community-supplied platform. It is not presently supported by the project maintainers.
- Run the following commands in the folder containing the
lattice.<platform>.tf
file
terraform get -update
terraform apply
This will deploy the cluster.
Upon success, terraform will print the Lattice target:
Outputs:
lattice_target = x.x.x.x.xip.io
lattice_username = xxxxxxxx
lattice_password = xxxxxxxx
which you can use with the Lattice CLI to ltc target x.x.x.x.xip.io
.
Terraform will generate a terraform.tfstate
file. This file describes the cluster that was built - keep it around in order to modify/tear down the cluster.
To destroy the cluster go to the folder containing the terraform.tfstate
file and run:
terraform destroy
The provided examples (i.e., lattice.<platform>.tf
) are pinned to a specific Bump commit or release tag in order to maintain compatibility between the Lattice build (lattice.tgz
) and the Terraform definitions. Currently, Terraform does not automatically update to newer revisions of Lattice.
If you want to update to the latest version of Lattice:
- Update the
ref
in thesource
directive of yourlattice.<platform>.tf
tomaster
.source = "github.com/cloudfoundry-incubator/lattice//terraform//aws?ref=master"
If you want to update to a specific version of Lattice:
- Choose a version from either the Bump commits or Releases.
- Update the
ref
in thesource
directive of yourlattice.<platform>.tf
to that version. - Examples:
source = "github.com/cloudfoundry-incubator/lattice//terraform//aws?ref=aa1b301"
source = "github.com/cloudfoundry-incubator/lattice//terraform//aws?ref=v0.2.4"
Note: Whenever the source directive is changed, make sure to run terraform get -update
This updates the version of Lattice in the .terraform/
folder, which is used by Terraform to distribute to each of the VMs.
In the spirit of free software, everyone is encouraged to help improve this project.
Please submit pull requests against the develop branch. Only the continuous integration system commits to master.
Here are some ways you can contribute:
- by using alpha, beta, and prerelease versions
- by reporting bugs
- by suggesting new features
- by writing or editing documentation
- by writing specifications
- by writing code (no patch is too small: fix typos, add comments, clean up inconsistent whitespace)
- by refactoring code
- by closing issues
- by reviewing patches
Also see the Development Readme
We use the GitHub issue tracker to track bugs and features. Before submitting a bug report or feature request, check to make sure it hasn't already been submitted. You can indicate support for an existing issue by voting it up. When submitting a bug report, please include a Gist that includes a stack trace and any details that may be necessary to reproduce the bug including the Lattice version.
- Propose a change by opening an issue.
- Fork the project.
- Create a topic branch.
- Implement your feature or bug fix.
- Commit and push your changes.
- Submit a pull request.
Choosing Stories From our Tracker
Pivotal Tracker is the way that Cloud Foundry projects organize and prioritize work and releases. With Tracker, work is organized into stories that are actionable and have been prioritized. The team typically works on stories found in the Current and Backlog columns.
Stories not (yet) prioritized are kept in the Icebox. The Icebox is a grab-bag of feature requests, GitHub Issues, or partially-developed ideas. Stories in the Icebox may never be prioritized, and may not always be maintained in the same disciplined manner as the Backlog.
Periodically, the Lattice team goes through through both the Backlog and the Icebox, and tags stories using the 'community' label. These are stories that are particularly well-suited to community contribution, and make excellent candidates for people to work on.
See LICENSE for details. Copyright (c) 2015 Pivotal Software, Inc.