I am a beginner in Corda. I am developing a project using Corda OS. Whenever I change a little bit of code in states or Contracts I have to deployNodes again so that nodes will be aware of the newer version of cordapp But, this deletes the old data. Is there any way to update cordapp without redeploying the nodes?
You can rebuild a specific module (e.g. contracts) with ./gradlew :contracts:build.
Take the resulting jar file from the build directory and place it inside the cordapps folder of your node.
Restart the node.
Related
I'm new to Azure-Pipeline and struggling to put together a C++ oriented pipeline that uses camke which properly compiles, run tests and build documentation on Ubuntu, macOS, and Windows.
I managed the macOS and Ubuntu cases rather easily but am struggling with the Windows case not knowing what's installed and what's in system PATH for the given image & container I've selected.
Not being super familiar with the Azure-Platform I'm basically relying on commit-push-run-pipeline every single little change to my YAML file thus wasting time and resources.
I can't imagine that the only way is to blindly try out commands by commit, push and run the pipeline.
I managed to find a basic description of the currently (hopefully) available images here following the included software link for Windows link yoou end up on a comprehensive list of what's supposedly installed (I have some doubts on whether this documentation actually matches the content of the image). Calling some of those tools like cmake and choco, present in the above list, failed. Whether or not they're actually installed and in system PATH I have no idea.
Q1: Is there any way to locally test out an Azure-Pipeline YAML?
Q2: Is there any way to figure what is actually installed on a given image/container (without issuing a DIR /s from the root folder??)
Q3: Is it possible to connect to a running container (or is it a VM???) instance and directly tinker with it?
Q4: Alternatively, is it possible to run such an image locally (Docker)? Does it imply execution on a Windows machine or is that a standalone VM image?
EDIT: Found out about this question, although doesn't quite answer mine: Is there a tool to validate an Azure DevOps Pipeline locally?
Q1: Is there any way to locally test out an Azure-Pipeline YAML?
The answer is yes. You could create your private agent to execute the Azure-Pipeline YAML.
Self-hosted agents
Q2: Is there any way to figure what is actually installed on a given
image/container (without issuing a DIR /s from the root folder??)
Just as you know, we could check the document Software for the software installed on the agent. If you want to know the install the path of some software, you could check the debug log from the build task. For example, cmake. We could check the build log from the cmake task:
Q3: Is it possible to connect to a running container (or is it a
VM???) instance and directly tinker with it?
For the hosted agent, I am afraid the answer is not.
Q4: Alternatively, is it possible to run such an image locally
(Docker)? Does it imply execution on a Windows machine or is that a
standalone VM image?
The answer is yes, we could Run a self-hosted agent in Docker. And it imply execution on a Windows machine.
In our corda project we are running the nodes in devmode. Every time we do some changes in the flow implementation we re-deploy the nodes with the help of ./gradlew clean deployNodes command in our dev environment.
So as part of the requirements we need to have a constant public key for a set of flows to work. but every time we redeploy with the above command a new set of truststore.jks nodekeystore.jks sslkeystore.jks is generated for each node .
How can we reuse these self signed certificates generated by X509Utilities so that we can utilize the same nodekeystore.jks which would result in the same public key in every build of the nodes.
Instead of using ./gradlew deployNodes which rebuilds everything, you can simply rebuild a certain module using ./gradlew :module-name:build.
We have an Openstack infrastructure consisting of one controller node, eight compute nodes and a network node. This last node is having hardware problems (disk write failures). Unfortunately it has only one disk without replication. And there's no option now to modify it for HA support.
We already tried to "dd" that disk to another but it didn't bring up. So, we agreed that the better choice was to build a new network node (using the same hardware specs)
Failing network node is running the following:
CentOS 7.1.1503
Openstack-neutron-openvswitch-2014.2.2-1 (Juno release)
Openvswitch-2.1.2-2
New network node:
CentOS 7.3.1611
Openstack-neutron-openvswitch-2014.2.3-1 (Juno release)
Openvswitch-2.3.1-2
We managed to export the database, just copying the conf.db file located in /etc/openvswitch into the new node. We had to convert the db to a newer schema since the nodes have different ovs versions. But we can't make it work like the old one, since it adds new interfaces to the database record and doesn't use the ones imported from the old hardware, even having the same exact names.
Is there a way to replicate the ovs configuration in the new node and make it work? That considering that both hardware are the same. Any of you had any experience trying to move/import/export an ovs database? I can attach the database dump if necessary.
I think you must config manually from the beginning, because that database is hashed and encrypted,
when you install openstack throught different machine, the openstack generate keystone randomly,
if you use packstack it the keystone stone can be same with you generate the answer-file
packstack --gen-answer-file=openstack.conf
and adit the option you want in openstack.conf
I am starting to prepare a roadmap for our release process. We are at present using tortoise svn and ant for building source. I am considering implementing continuous integration and would like to know right direction for the choices below:
Firstly, the present process is such that a developer would work on a file, commits that file directly to repo. Others would run the tortoise update command to pull in the required changes. The same process is followed on the build server where in would update the source code, build and then deploy to qa and production servers. However, this process lacks control of repo since during an update, unwanted code is also pulled in case two developers worked on the same file fixing two different issues. One approved by qa and other rejected. How can i overcome this scenario.
Secondly, apart from source we have a bunch of other files such as xml files, css,js etc . How do i automate deployment of these files? I have configured cruisecontrol on my local machine and it works fine when it comes to executing a build but now sure how to handle other files since updating those files in production seems risky and error prone. Any suggestion in this would be really helpful.
You could try integrating PowerShell with CruiseControl, our team has CC fire off the build process and then PowerShell to copy the resulting project files (code and others) to production or a test site or wherever.
I'd suggest to deal with the lack of repository control that you create a candidate Branch off your Trunk and designate that as your Integration code. Once it's settled and necessary changes have been committed or pulled, promote it to Regression for further testing. Then once that testing is successful, promote it to Production.
In this process your developers wouldn't be committing to Production directly, but instead through an iterative process a new production repository will result, whose changes can then be reintegrated into Trunk so the process can start anew for the next release.
I am trying to work out a good way to run a staging server and a production server for hosting multiple Coldfusion sites. Each site is essentially a fork of a repo, with site specific changes made to each. I am looking for a good way to have this staging server move code (upon QA approval) to the production server.
One fanciful idea involved compiling the sites each into EAR files to be run on the production server, but I cannot seem to wrap my head around Coldfusion archives, plus I cannot see any good way of automating this, especially the deployment part.
What I have done successfully before is use subversion as a go between for a site, where once a site is QA'd the code is committed and then the production server's working directory would have an SVN update run, which would then trigger a code copy from the working directory to the actual live code. This worked fine, but has many moving parts, and still required some form of server access to each server to run the commits and updates. Plus this worked for an individual site, I think it may be a nightmare to setup and maintain this architecture for multiple sites.
Ideally I would want a group of developers to have FTP access with the ability to log into some control panel to mark a site for QA, and then have a QA person check the site and mark it as stable/production worthy, and then have someone see that a site is pending and click a button to deploy the updated site. (Any of those roles could be filled by the same person mind you)
Sorry if that last part wasn't so much the question, just a framework to understand my current thought process.
Agree with #Nathan Strutz that Ant is a good tool for this purpose. Some more thoughts.
You want a repeatable build process that minimizes opportunities for deltas. With that in mind:
SVN export a build.
Tag the build in SVN.
Turn that export into a .zip, something with an installer, etc... idea being one unit to validate with a set of repeatable deployment steps.
Send the build to QA.
If QA approves deploy that build into production
Move whole code bases over as a build, rather than just changed files. This way you know what's put into place in production is the same thing that was validated. Refactor code so that configuration data is not overwritten by a new build.
As for actual production deployment, I have not come across a tool to solve the multiple servers, different code bases challenge. So I think you're best served rolling your own.
As an aside, in your situation I would think through an approach that allows for a standardized codebase, with a mechanism (i.e. an API) that allows for the customization you're describing. Otherwise managing each site as a "custom" project is very painful.
Update
Learning Ant: Ant in Action [book].
On Source Control: for the situation you describe, I would maintain a core code base and overlays per site. Export core, then site specific over it. This ensures any core updates that site specific changes don't override make it in.
Call this combination a "build". Do builds with Ant. Maintain an Ant script - or perhaps more flexibly an ant configuration file - per core & site combination. Track version number of core and site as part of a given build.
If your software is stuffed inside an installer (Nullsoft Install Shield for instance) that should be part of the build. Otherwise you should generate a .zip file (.ear is a possibility as well, but haven't seen anyone actually do this with CF). Point being one file that encompasses the whole build.
This build file is what QA should validate. So validation includes deployment, configuration and functionality testing. See my answer for deployment on how this can flow.
Deployment:
If you want to automate deployment QA should be involved as well to validate it. Meaning QA would deploy / install builds using the same process on their servers before doing a staing to production deployment.
To do this I would create something that tracks what server receives what build file and whatever credentials and connection information is necessary to make that happen. Most likely via FTP. Once transferred, the tool would then extract the build file / run the installer. This last piece is an area I would have to research as to how it's possible to let one server run commands such as extraction or installation remotely.
You should look into Ant as a migration tool. It allows you to package your build process with a simple XML file that you can run from the command line or from within Eclipse. Creating an automated build process is great because it documents the process as well as executes it the same way, every time.
Ant can handle zipping and unzipping, copying around, making backups if needed, working with your subversion repository, transferring via FTP, compressing javascript and even calling a web address if you need to do something like flush the application memory or server cache once it's installed. You may be surprised with the things you can do with Ant.
To get started, I would recommend the Ant manual as your main resource, but look into existing Ant builds as a good starting point to get you going. I have one on RIAForge for example that does some interesting stuff and calls a groovy script to do some more processing on my files during the build. If you search riaforge for build.xml files, you will come up with a great variety of them, many of which are directly for ColdFusion projects.