I'm looking to build an api on a application that is going to run its own docker container. It needs to work with some applications via its REST apis. I'm new to development and dont understand the process very well. Can you share the broad steps necessary to build and release the APIs so that my application runs safely within the docker but externally whatever communication needs to happen they work out well.
For context: I'm going to be working on a Google Compute VM instance and the application I'm building is a HyperLedger Fabric program written in GoLang.
Links to reference material and code would also be appreciated.
REST API implementation is very easy in Go. You can use the inbuilt net/http package. Here's a tutorial which will help you understand its usage. https://tutorialedge.net/golang/creating-restful-api-with-golang/
Note : If you are planning on developing a production server, the default HTTP client is not recommended. It will knock down the server on heavy frequency calls. In that case, you have to use a custom HTTP client as described here, https://medium.com/#nate510/don-t-use-go-s-default-http-client-4804cb19f779
For learning docker I would recommend the docker docs they're very good and cover a handful of stuff. Docker swarm and orchestration are useful things to learn but most people aren't using docker swarm anymore and use things like kubernetes instead. Same principles, but different tech. I would definitely go through this website: https://docs.docker.com/ and implemented on your own computer. Then just practice by looking at other peoples dockerfiles and building your own. A good understanding a linux will definitely help with installing packages and so on.
I haven't used go myself but I suspect it shouldn't be too hard to deploy into a docker container.
The last production step of deployment will be similar for whatever your using if it's docker or no docker. The VM will need an webserver like apache or nginx to expose the ports you wish to use to the public and then you will run the docker container or the go server independently and then you'll have your system!
Hope this helps!
Related
I have a single screen desktop application developed in Java. It is a tool to convert files, given a file in .abc format, the tool converts it to .xyz format. Basically the tool works offline and acts as a translator to convert file from one form to another.
So now, to improve the infrastructure, there are discussions to move the tool to Kubernetes or to provide REST services for the file conversion. I completely have no idea about the containers nor the REST APIs as I am a front-end developer.
More about the tool, as I told earlier, the tool is a single page application, very light doing very minimal job, totally used by 200 users approximately. So, this being the shape and size of the application, which one would be the best approach to go with and why? Basically, I am looking for a short evaluation report of Kubernetes vs REST service and architecture recommendation with reasons.
Currently your application is a standalone application which is quite an old concept.
I can mention high-level changes needs to be done when your file conversion logic would be exposed over Rest Api in Kubernetes world.
you can go through one by one following mentioned areas to get a better understanding design-wise:
java code would be a backend code and its public methods that take inputs from UI actions will be exposed over rest API.
There are multiple rest API's (jersey, rest easy, etc or spring/spring-boot framework also provides rest API support) that you can go through any of them to get an understanding.
once your backend is exposed over the rest API then it needs to be containerized means your backend will be running under the container. Can go through docker documentation and can build one sample containerized app. There is huge material present in this area.
once your backend is containerized then it will be installed in a Kubernetes cluster
Kubernetes is basically a container orchestration tool and it's quite a wide thing. you can through its official documentation for basic understanding.
SPA will be running on a client machine like today also you are able to launch from your desktop but it will communicate with the Kubernetes cluster where your application is presently packaged in a container.
References:
docker :
https://docs.docker.com/
Kubernetes :
https://kubernetes.io/
I will be building an Android application (not a game) soon. I heard of containerized development and Docker/Kubernetes but I'm not well-versed in its functions and use cases.
Why should I build my Android application with Kubernetes?
Your question can be split up into two parts:
1. Why should I containerize my deployment?
I hope by "deployment", you are referring to the backend services that serve your Android application; not the application itself (not sure how one would do that...). Here is a good article.
Containerization is a powerful abstraction that can help you manage both your code and environment. Setting up a container with the correct dependencies, utilities etc., and securing them is a lot of work, as is the case with any server setup. However, once you have packaged everything into a container, you can deploy said container multiple times and build on-top of it. The value of the grunt work that you have done in the past is therefore carried forward in your future deployments; conversely, so are the bugs... Additionally, you can also leverage the Docker ecosystem and build on various community contributions greatly accelerating your workflows.
A possible unintended advantage is also protection against configuration drift. Whenever services fail or your application crashes, you can simply restart your container, and a fresh version of the service will be created again. However, to support these operations, you need to ensure that your containerized service behaves nicely across restarts and fails gracefully. There are many other caveats and advantages that are not listed here; you can find more discussion on Google.
2. Why should I use Kubernetes for my container orchestration?
If you have many containers (think in the order of 100s), then using a single-node solution like Docker/docker-compose to manage them becomes tedious.
If only there was a tool to manage across multiple nodes, implement service discovery between your nodes, have fault tolerance (ie. automatic restarts, backoff policies), do health-checking of your services, manage storage assets, and conveniently expose your containers to the public. That tool is Kubernetes.
Here is a more in-depth intro.
Hope this helps!
I'm in the need of learning how to use Kubernetes. I've read the first sentences of a couple of introductory tutorials, and never have found one which explains me, step by step, how to build a simulated real world example on a single computer.
Is Kubernetes by nature so distributed that even the 101-level tutorials can only be performed on clusters?
Or can I learn (execute important examples) the important stuff there is to know by just using my Laptop without needing to use a stack of Raspberry Pi's, AWS or GCP?
The easiest might be minikube.
Minikube is a tool that makes it easy to run Kubernetes locally.
Minikube runs a single-node Kubernetes cluster inside a VM on your
laptop for users looking to try out Kubernetes or develop with it
day-to-day.
For a resource that explains how to use this, try this getting started guide. It runs through an entire example application using a local development environment.
If you are okay with using Google Cloud Platform (I think one gets free credits initially), there is hello-node.
If you want to run the latest and greatest (not necessary stable) and you're using Linux, is also possible to spin up a local cluster on Linux from a cloned copy of the kubernetes sources, using hack/local_up_cluster.sh.
Im interested in implementing server-side swift on Google Cloud using "Perfect". Though Im quite new to server side, some guidance in implementing this would be helpful !
Knowing nothing about Perfect, I read Perfect's github page and see that in runs on Linux. Therefore, I see three ways to run Perfect on Google Cloud Platform, in order from easiest to most complicated:
On a Linux Virtual Machine in Google Compute Engine.
Building a custom docker image and running it in the App Engine Flexible Environment.
Building a custom docker image and running it in Container Engine.
If you're already familiar with Docker or Kubernetes, then options 2 or 3 may be easier for you.
I'm wondering which options are there for docker container deployment in production. Given I have separate APP and DB server containers and data-only containers holding deployables and other holding database files.
I just have one server for now, which I would like to "docker enable", but what is the best way to deploy there(remotely will be the best option)
I just want to hit a button and some tool will take care of stopping, starting, exchanging all needed docker containers.
There is myriad of tools(Fleet, Flocker, Docker Compose etc.), I'm overwhelmed by the choices.
Only thing I'm clear is, I don't want to build images with codes from git repo. I would like to have docker images as wrappers for my releases. Have I grasped the docker ideas from wrong end?
My team recently built a Docker continuous deployment system and I thought I'd share it here since you seem to have the same questions we had. It pretty much does what you asked:
"hit a button and some tool will take care of stopping, starting, exchanging all needed docker containers"
We had the challenge that our Docker deployment scripts were getting too complex. Our containers depend on each other in various ways to make the full system so when we deployed, we'd often have dependency issues crop up.
We built a system called "Skopos" to resolve these issues. Skopos detects the current state of your running system and detects any changes being made and then automatically plans out and deploys the update into production. It creates deployment plans dynamically for each deployment based on a comparison of current state and desired state.
It can help you continuously deploy your application or service to production using tags in your repository to automatically roll out the right version to the right platform while removing the need for manual procedures or scripts.
It's free, check it out: http://datagridsys.com/getstarted/
You can import your system in 3 ways:
1. if you have a Docker Compose, we can suck that in and start working iwth it.
2. If your app is running, we can scan it and then start working with it.
3. If you have neither, you can create a quick descriptor file in YAML and then we can understand your current state.
I think most people start their container journey using tools from Docker Toolbox. Those tools provide a good start and work as promised, but you'll end up wanting more. With these tools, you are missing for example integrated overlay networking, DNS, load balancing, aggregated logging, VPN access and private image repository which are crucial for most container workloads.
To solve these problems we started to develop Kontena - Docker Container Orchestration Platform. While Kontena works great for all types of businesses and may be used to run containerized workloads at any scale, it's best suited for start-ups and small to medium sized business who require worry-free and simple to use platform to run containerized workloads.
Kontena is an open source project and you can view it on GitHub.