I'm trying to deploy my first Vue.js application on Heroku, but I need some clarification.
My app is a very simple client consuming REST service API.
I deployed the REST service on a Heroku dyno and now I need to also deploy my front-end application.
Is it possible to install client app on the same dyno? Is it a good practice, or should I deploy the client as a separate application?
What is the "real-world" production approach?
NOTE REST APIs are based on Java/Spring MVC.
It is certainly possible, and can keep your dyno costs down.
I answered a similar question here. That specific answer may or may not be suitable to your needs depending on what server technology you are using etc., however, the general idea is that you can certainly maintain multiple parts of your app within a single git repo that gets deployed to a single Heroku app.
Such a single Heroku app may or may not consist of multiple Process Types which may each run on one or more dynos.
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 work with teams members to develop a microservices architecture but I have a problem with the way to work. Indeed, I have too many microservices and when I run them during my development, it consumes too memory even with a good workstation. So I use docker compose to build and execute my MSA but it takes a long time. One often hears about how technically build an MSA but never about the way to work efficiently to build it. How do you do in this case ? How do you work ? Do you use tools or any others to improve and facilitate your developments. I've heard about skaffold but I don't see what the difference is with docker compose or with a simple ci/cd in a cluster env for example. Feel free to give tips and your opinion. Thanks
I've had a fair amount of experience with microservices and local development and here's been some approaches I've seen:
Run all the things locally on docker or k8. If using k8, then a tool like skaffolding can make it easier to run and debug a service locally in the IDE but put it into your local k8 so that it can communicate with other k8 services. It works OK but running more than 4 or 5 full services locally in k8 or docker requires dedicating a substantial amount of CPU and memory.
Build mock versions of all your services. Use those locally and for integration tests. The mock services are intentionally much simpler and therefore easier to run lots of them locally. Obvious downside is that you have to build mock version of every service, and you can easily miss bugs that are caused by mock services not behaving like the real service. Record/replay tools like Hoveryfly can help in building mock services.
Give every developer their own Cloud environment. Run most services in the cloud but use a tool like Telepresence to swap locally running services in and out of the cloud cluster. This eliminates the problem of running too many services on a single machine but can be spendy to maintain separate cloud sandboxes for each developer. You also need a DevOps resource to help developers when their cloud sandbox gets out of whack.
Eliminate unnecessary microservice complexity and consolidate all your services into 1 or 2 monoliths. Enjoy being able to run everything locally as a single service. Accept the fact that a microservice architecture is overkill for most companies. Too many people choose a microservice architecture upfront before their needs demand it. Or they do it out of fear that they will need it in the future. Inevitably this leads to guessing how they should decompose the system into many microservices, and getting the boundaries and contracts wrong, which makes it just as hard or harder to fix in the future compared to a monolith. And they incur the costs of microservices years before they need to. Microservices make everything more costly and painful, from local development to deployment. For companies like Netflix and Amazon, it's necessary. For most of us, it's not.
I prefer option 4 if at all possible. Otherwise option 2 or 3 in that order. Option 1 should be avoided in my opinion but it is probably the option everyone tries first.
In GKE and assuming you have a private cluster. You can utilize port forwarding while hooked up to the GKE environment through the CLI. Create a script that forwards your local ports to the GKE environment. I believe on the services tab in your cluster is where you will find the "port-forwarding" button that will give you the CMD command. This way you can work on one microservice with all of its traffic being routed to the actual DEV cluster. This prevents you from having to run multiple projects at the same time.
I would say create a staging environment which will have all services running. This staging environment will specifically be curated for development. E.g. if it's deployed using k8s then you expose some ports using nodeport service if you need them for your specific microservice. And have a DevOps pipeline to always keep this environment up to date with the code.
This environment should always be built from master branch. If you have single repo for app or repo per service, it's fair assumption that the will always have most recent code when you create your dev/feature branch.
Then when you want to develop a feature or fix a bug you checkout your microservice. And if you are following the microservice pattern appropriately, that single microservice should be an executable and have it's own docker file and should be debuggable from your local IDE. Many enterprises follow this pattern, and enforce at the organization level that the master branch is always production ready and high quality.
Let's say, you discover a bug in some other microservice running in k8s cluster. You will very likely get tempted to find a way to debug that remote microservice. However, that should be written as a bug for the team that owns the microservice. If your team owns it then you fix it and then start working on your feature. If you really think you need to debug multiple microservices, then I think you have real tight coupling between the services or you don't really need the microservice architecture.
Let's say I have a web application in nodejs or php and I want to deploy to 100+ server, also to push application updates without destroying the data ..
I have been reading about a lot of things like configuration management systems like chef, containerization && micro-services via docker..
But I didn't grasp how to use these tools to do what I want or even if there are better tools than it.
So I ask for a guidance, anything will be appreciated.
Note : one server will have a clone of the application with a few customization for each client.
I'm developing an app deployed in GAE, simple for this moment. This app is the backend of other app.
Internally, this app have a few modules (this is not important here) that they communicate with rest apis (for other reason).
And the question that I'm thinking is: I was beginning to write API (to outside) using gRPC and EndPoints like GAE docs says, when I thought that if I could have really advantages if using gRPC and not REST like internally.
I have been spend a lot of time searching that really advantages that offers gRPC about REST, but I don't find it.
Why Google recommended gRPC? Is faster than REST?, (from my point of view is most simple to write)
You know any test about speed with both technologies?
I will thanking any help.
You can use GRPC today on AppEngine's Managed VM platform as both a client and a server. If you want load balancing you need to use TCP/IP load balancing and have GRPC servers terminate TLS for you.
GRPC does not yet work on AppEngine standard but we're working on it. For more questions hit up the mailing list.
I am new to Jboss, want to know if micro services architecture is a right choice on JBOSS. I cannot change the application server as it is decided by client architect and I have no choice.
Want to know whether we can develop micro services with underlying JBOSS application server.
I understand Spring boot comes with embedded tomcat container, which makes it flexible to stop and start, deploy individual service with no impact to other services.
However will that architecture works with JBoss too.
Please suggest.
Thanks,
I actually developed a feasibility study to investigate the solution you mentioned. My conclusion is that it is totally viable to use Micro Service principles in a JBoss Platform.
I used the combination of JBoss \ Spring Boot \ Netflix to create successful Micro Service stack, I personally do that to find a solution to the transaction problem (multiple micro services collaborating) and the fan out problem which caused because excessive Network communication and Serialization costs.
I also wrote a blog about the subject, you might find more details there if you like to, here is the link.
Micro Services – Fan Out, Transaction Problems and Solutions with Spring Boot/JBoss and Netflix Eureka
By the definition what micro services are, then conceptually yes. A micro service is a service that is an independent unit, it could deployed, updated, and undeployed independently without affecting any unrelated part of your application. So that would mean having multiple instances of JBoss for MS and your application calling them through some sort of gateway or any other mechanism depending on your use case. If you plan to deploy all your MS in the same JBoss instance then it defeats the very purpose of a MS. Given that, JBoss wouldn't be a right choice for MS deployment because it will only make your MS deployment infrastructure quite heavy.
Depending on what your client's requirements are, your could possibly keep your webapp in JBoss and deploy your MS containers separately.
It depends on what you want to get out of microservices.
Some of the developers at my organisation looked at Spring Boot but concluded that it's best off being run as a standalone container rather than in JBoss, otherwise you've effectively got two container frameworks competing (SB and JBoss) and a range of associated issues.
Deploying microservices in JBoss won't give you the same flexibility as a true container system like Docker. With Docker you create standalone packages for your microservices that contain all the code, system tools, runtime environment, etc. It can be as small or large as it needs to be. JBoss on the other hand is a large container running a single JVM designed to hold multiple applications. The level of isolation is not the same, and it's not efficient to have JBoss as a container for a single microservice so you have to appropriately size and then deploy to the instance to make use of the resources it has available.
If you're looking at microservices as a way to gain greater control over service lifecycle management (deployment, versioning, deprecating, etc.) as opposed to an automated, web-scale component deployment model a la Netflix or LinkedIn, you could do this adequately with JBoss.
I'm actually looking to do something along these lines here. It won't be true microservices but by packaging and deploying individual, properly versioned APIs rather than monolithic applications and following most of the other principles of microservice development (componentisation, business function focus, stateless etc.) we will be hopefully better able to manage and benefit from our APIs.
Our APIs will all be behind an API gateway and load balancer so we can choose how we distribute the microserves distributed across the JBoss instances and balance resource usage as required. Note that our organisation is relatively small and has relatively low and predictable traffic so this approach should work fine. Your needs however may be different.