There are lots of bad examples on the Internet. Doing a git pull to distribute code is fabulous for development, but prone to all sorts of issues in practice. It should not be used for production deploys without careful consideration of the negative consequences.
What happens when somebody checks out a different branch? You'll be sad when you keep git ...
You should keep at least one service running in foreground to keep the container running, you can do that using ENTRYPOINT or CMD or both. For more info check Dockerfile: ENTRYPOINT vs CMD.
You can also use a docker image for pm2 from docker hub, that will save your time and you can check the Dockerfile for it to see how it is written.
Check the keymetrics/...
Strange enough node.js unlikely maven installs the packages the software needs inside the project directory.
I don't see fundamental differences between npm on node.js and Maven. In both cases, the dependencies finally end up in the project directory (npm: /node_modules, Maven: /target). Otherwise, you cannot continue building the software. (When you run ...
To give visability to the error messages mount a volume to your container so after it crashes the logs are available ... problem otherwise is once crashed the logs go away ... for example this docker-compose.yaml excerpt is how to mount a volume
pathA is ...
Bamboo doesn't have a color status like Jenkins per say, but it does have a very similar build status indicated by a circle with a symbol within it. This status is available for both the entire build plan and for an individual build.
For your GET request, you will want to use the same api calls that you are using to get the buildstate value to get a ...
There are some source control systems that bill themselves as artifact management platforms as well (for example Perforce/Helix) and they try to support the mode of work. But git is especially bad at that. You would have to do a lot of work to make git support both development of code and management of artifacts efficiently. I'd suggest to not do that and ...
Docker monitors the process started by ENTRYPOINT or CMD and since you don’t have such entry in your Dockerfile your container will terminate early in its lifecycle.
Also be aware that the processes that are started via ENTRYPOINT or CMD should run in foreground, not started as a daemon.
It is possible to do this (not with any built-in steps; you essentially have to either use a global cache or write your own caching tool), but I do not recommend it. When I've tried this in the past, I often ran into race conditions. For example, one build would write to the cache while another build simultaneously reads from the cache, or two builds would ...
What would be the best way to share ports among the containers?
You don't really "share" ports between containers. Instead, you want to create network and attach each container to that network. Each container gets a network alias (essentially a hostname) that you can use to hit the service.
$ docker network create foo
$ docker run --network=foo --...
I'm not aware of a project that provides that out of the box. For local development, it is common to have hot reload. If something at the file level changes, it restarts the server. That is somewhat related, as you could trigger the updates on the file system remotely. Installing libraries could also be simulated by directly updating the node_modules folder....
I've resolved the issue now.
First of all, console.log(e) should be used to log the result. Then the error will appear in CloudWatch.
The problem was that the role that was used by the lambda did not permit invoking other lambdas. This can be fixed by granting the missing InvokeFunction permission for the role.
In case anyone else would like to benefit from my experience, the answer is "kind of".
Without a Greengrass kernel, you will not get many of the core features and benefits, but you can use JS/Node SDK to start migrating to AWS IoT.
For me, the problem was that my ARM device has an armv61, and Greengrass ...
I would have a look at the Tool Auto-Installation which allows Jenkins to install the tooling you need.
Lets you configure tools so that agents will install them on demand whenever running a job that needs them. This could be especially useful when running a large farm of agents in a cloud which all start with a minimal operating system configuration.
Correct script below:
- apt-get install zip unzip
- yarn install
- ./node_modules/@angular/cli/bin/ng build --prod
- cd dist/AngularTemplate; zip -r ../../dist.zip *; cd ..; cd..
Was installing the wrong Zip package and then puttin my archive in the wrong folder.
Assuming this is a production Dockerfile, the boilerplate configuration for a Nodejs type of application would look like this:
FROM node:alpine as builder
COPY package*.json ./
RUN npm install
COPY . .
RUN npm run build
or like this:
COPY ./package.json ./
RUN npm install
COPY . .
CMD ["npm", "run", "start"]
Depend of life cycle of you app, because Node libraries and dependences change or end life to obsolet, so if you app constant change version to deploy, you can use docker tag for describe version or time when it build image, is a good practice, so Dockerfile shall copy package.json, and too look when you need change image source OS, by example change ubuntu ...
Thanks to this question and answer here, I was able realize that I had two issues going on:
the containers have different default Docker networks because I am using two different docker-compose.yml files, I had envisioned my Ngnix proxy working independently from any of my API containers entirely, including the docker-compose, more on that issue below
The conflict is occurring between ngc and webpack. When rimraf aot && ngc -p ./tsconfig-aot.json is moved to its own script and executed prior to test and build:prod:aot then running test and build:prod:aot with npm-run-all will work as expected.
Also, running with PowerShell is not necessarily a good idea since it interprets some of the output ...
All this time after I think I am finally able to answer this question. The solution is Ansible - just like @James Shewey mentioned. It's agentless and quite light python framework, that can be made to work through jump hosts and perform automated tasks through SSH. This means it requires no server setup or manual operations of any kind from our customer to ...
Ok, let's assume you'll pull the latest version of branch prod from a git repo, here's what it would take with chef on a basic illustrative purpose:
git "/opt/my_application" do
execute "app_config" do