Several Rackspace cloud servers or virtual hosts at one cloud server? - rackspace-cloud

We use a Rackspace cloud server (2nd generation) for one of ours SaaS applications. And we want to move one more SaaS app to Rackspace as well. Both applications don't have much traffic/load, but they grow up with time insignificantly.
I'm hesitant if to create one more cloud server and to place the second application there, or to install it as one more virtual host at the first server. My main concerns are:
I'm not sure if it'll be convenient to support both developing projects at one server (they're written using the same tools, so quite similar and need a similar environment)
I'm not sure if it's a good idea to set up one more cloud server with the same environment and to spend time on supporting the same servers in parallel (e.g. updates/packages installs). Maybe there're approaches I'm not aware of on how to maintain similar servers in parallel a simple way at Rackspace?
Thank you for your time.

I have never regretted using separate Rackspace Cloud Server instances for described case. It's very convenient to have decoupled application environments in a long time run.
For easier setup of similar environments it's possible to use templates of Rackspaces's Cloud Orchestration

Related

Microservices on GCP

I am looking to use GCP for a micro-services application. After comparing AWS and GCP I have decided to go with Google because one major requirement for the project is to schedule tasks to run in the future (Cloud Tasks) which AWS does not seem to offer an equivalent of.
I am planning on containerizing my services and deploying to GCP using Cloud Run with a Redis cluster running as well for caching.
I understand that you cannot have multiple Firestore instances running in one project. Does this mean that all if my services will be using the same database?
I was looking to follow a model (possible on AWS) where each service had its own database instance that it reached out to.
Is this pattern possible on GCP?
Firestore indeed is for the moment limited to a single database instance per project. For performance that is usually not a problem, but for isolation such as your use-case, that can indeed be a reason to look elsewhere.
Firebase's original Realtime Database does allow multiple instances per project, and recently added a REST API for provisioning database instances. Since each Google Cloud Project can be toggled to also be a Firebase project, you could consider that.
Does this mean that all if my services will be using the same database?
I don't know all details of your case. Do you think that you can deploy a "microservice" per project? Not ideal, especially if they are to communicate using PubSub, but may be an option. In that case every "microservice" may get its own Firestore if that is a requirement.
I don't think one should consider GCP project as some kind of "hard boundaries". For me they are just another level of granularity - in addition to folders, etc.
There might be some benefits for "one microservice - one project" appraoch as well. For example, less dependent lifecycles, better (more accurate) security, may be simpler development workflows...

Google App Engine with Python 3: Mix Standard and Flexible for Websockets

I've started to port a web app backend to Google App Engine for scaling. But I'm completely new to GAE and just reading into the concepts. Steep learning curve.
I'm 95% certain that at some point many millions or at another point at least hundreds of thousands of users will start using the web app through a GUI app that I'm writing. And they will be globals users, so at some point in the future I'm expecting a relatively stable flow of connection requests.
The GAE Standard Environment comes to mind for scaling.
But I also want the GUI app to react when user related data changes in the backend. Which suggests web sockets, which aren't supported in the Standard Environment, but in the Flexible Environment.
Here's my idea: The main backend happens in a Standard app, but the GUI listens to update notifications from a Flexible app through web sockets. The Standard app calls the Flexible app after noteworthy data changes have occurred, and the Flexible app notifies the GUI.
But is that even possible? Because sibling Flexible instances aren't aware of each other (or are they?), how can I trigger the persistent connections held by the Flexible instance with an incoming call from the Standard app to send out a notification?
(The same question goes for the case where I have only one Flexible app and no Standard app, because the situation is kind of the same.)
I'm assuming that the Flexible app can access the same datastore that the Standard app can. Didn't look this one up.
Please also comment on whether the Standard app is even a good idea at all in this case and I should just go with Flexible. These are really new concepts to me.
Also: Are there limits to number of persistent connections held by a Flexible app? Or will it simply start another instance if a limit is reached?
Which of the two environments end up cheaper in the long run?
Many thanks.
You can only have one App engine instance per project however you can have multiple flex services or standard services inside of an instance.
Whether if standard is a good idea it depends up to your arquitecture, I'm pretty sure you've looked at the comparison chart, from experience is that if your app can work okay with all the restrictions (code runtimes, no availability to do background process, no SSH debugging, among others) I will definitely go for standard since it has a very good performance when working with spikes of traffic deploys new services in just seconds, keep in mind that automatic scaling is needed for the best performance result.
There are multiple ways to connect between flex or standard services one would be to just send an HTTP request from one service to another, but some other options with GCP services like Pub/Sub.
In the standard environment, you can also pass requests between
services and from services to external endpoints using the URL Fetch
API.
Additionally, services in the standard environment that reside within
the same GCP project can also use one of the App Engine APIs for the
following tasks:
Share a single memcache instance.
Collaborate by assigning work
between services through Task Queues.
Regarding Data Store you can access the same datastore from different services here is a quickstart for flex and the quickstart for standard
Which of the two environments end up cheaper in the long run?
Standard pricing is based on instance hours
Flexible pricing is based on usage of vCPU, memory, and persistent disks
If your service run very hight performance process on short periods of time probably standard will be chepear, however if you run low performance process on long periods of time, flex will be chepear, but again it depends on each use case.

Can I run a microservice which keeps a port open in the cloud?

I'm new to microservices. I envision them as a set of processes running in two or more machines (I suppose for a given process two instances must be run in separate machines for reliability). In that setup, depending on the kind of clients I have there may be one process working as a TCP server serving on a specific high port and speaking a non-HTTP protocol.
However, for my low-bandwidth, testing purposes, I haven't found a free cloud service which provides that kind of environment (machines to run processes on – say, Java on Linux – while keeping a high port open).
Maybe the facilities I'm expecting are only available to paying customers, or maybe implementing a microservice architecture in the cloud goes beyond simply running processes in machines and sharing a database? Could someone clarify? (and if possible direct me to one such free service)
Yes, you are right when you say Microservices are more about independent service (processes) that can be deployed in one or more cloud machines. Each service can communicate to other using non-http protocol like Message brokers, Thrift, Remote Procedure call (RPC) etc.
As the architecture point of view, services should mostly be decoupled enough to handle complexity of distributed computing. see the image on Microservices Architecture link
There's a concept of API Gateway which could be used for authentication and service registration and discovery purpose.
Coming back to your question, you can test microservices on single cloud (by running each service on different port) and use API Gateway to discover the service path for references here are the links which are worth to look at these.
For concept see links: Microservices.io and stackoverflow question
For Implementation: zookeeper and Auth0 (this is what i'm using)
If you are java lover great to look at infoQ article
Some of the free source that might can help in building and testing microservices are: Google App Engine, hook.io

Testing a Windows Azure web app for maximum user load

I am conducting some research on emerging web technologies and have created a very simple Azure website which makes use of web sockets and mongo db as the database. I have managed to get all the components working together and now must perform load testing on the application.
The main criteria is the maximum user load that the app can support, at the moment there is 1 web role instance, so probably I would need to test the max user load for that instance, then try with 2 instances and so on.
I found some solutions online such as Loadstorm, however I cannot afford to pay to use these services so I need to be able to do this from my own development machine OR from another cloud service.
I have come across Visual Studio Load Tests and they seem quite useful, however it seems they require VS Ultimate and an active msdn subscription - the prerequisites are listed here. Also, from this video which shows the basics of load tests, it seems like these load tests are created completely separately from the actual web project, so does that mean I can only see metrics related to the user? i.e. I cannot see the amount of RAM being used, processor etc.
Any suggestions?
You might create a Linux virtual machine in Azure itself or another hosting provider and use ApacheBench (ab) or JMeter to do simple load testing on your application. Be aware that in such a setup your benchmark servers may be a bottleneck themselves.
Another approach is to use online load testing services wich allow some free usage, such as:
loader.io, by SendGrid Labs
LoadStorm
Blazemeter
Blitz
Neotys
Loadimpact
For load-testing, LoadStorm is very reasonably priced, especially compared to on-premises software (and has a free tier with up to 25 virtual clients). You can install code such as jmeter, but you'll still need machines (or vm's) to host and run it from, and you need to make sure that the load-generator machines aren't the bottleneck in your tests.
When you run your tests, you may want to consider separating your web tier from MongoDB. MongoDB will consume as much memory as possible (as that's what gives MongoDB its speed). In a real-world scenario, you'll likely have MongoDB in its own environment. So for your tests, I'd consider offloading MongoDB to its own instance(s), and 10gen has a Worker Role setup that's fairly straightforward to install.
Also remember that NIC bandwidth is 100Mbps per core, which could be a limiting factor on your tests, depending on how much load you're driving.
One alternative to self-hosting MongoDB: Offload MongoDB to a hoster such as MongoLab. This will allow you to test the capacity of your web app without worrying about the details around MongoDB setup, configuration, optimization, etc. Currently MongoLab offers their free tier hosted in Azure, US West and US East data centers.
Editing my response, didnt read the question carefully.
Check out this thread for various tools and links:
Open source Tool for Stress, Load and Performance testing
If you are interested in finding the performance counters of the application under test you can revisit some of the latest features added to Visual Load Cloud base load test.
http://blogs.msdn.com/b/visualstudioalm/archive/2014/04/07/get-application-performance-data-during-load-runs-with-visual-studio-online.aspx
To get more info on Visual Studio Cloud Load Testing solution - https://www.visualstudio.com/features/vso-cloud-load-testing-vs

A little confused about Azure

I've been reading about azures storage system, and worker roles and web roles.
Do you HAVE to develop an application specifically for azure with this? It looks like you can remote desktop into azure and setup an application in IIS like you normally can on a windows server, right? I'm a little confused because they read like you need to develop an azure specific application.
Looking to move to the cloud, but I don't want to have to rework my application for it.
Thanks for any clarification.
Changes to the ASP.NET application are minimal (for the most part the web application will just work in Azure)
But you don't remote connect to deploy. You actually build a package (zip) with a manifest (xml) which has information about how to deploy your app, and you give it to Azure. In turn, Azure will take care of allocating servers and deploying your app.
There are several elements to think about here -
Code wise - to a large degree this is 'just' .net running on IIS and Windows, so everything is very familiar and all the past learnings, best-practices, etc. apply.
On top of that you may want to leverage some Azure specific capabilities - for example table storage, or queues, or interacting with your deployment - for which you might need to learn a few more APIs, but these aren't big, and are well thought of and kept quite simple, so there's not a bit learning curve. good architecture, of course, would look to abstract these away to prevent/reduce lock-in, but that's a design choice.
Outside the code, however, there's a bit more to think about -
You'd like to think about your deployment - because RDP-ing into a machine and making changes that way takes away many of the benefits of PaaS - namely the ability of the platform to 'self-heal' by automatically re-deploying your application should a server fail.
You would also like to think about monitoring - which would need to be done slightly differently.
Last - cloud enables different scenarios, and provides a scale-out model rather than a scale-up model, which you might want to take advantage of, but it might require doing things a little bit.
So - bottom line - yes - you could probably get an application in Azure very quickly, without really having learning much or anything, but to do things properly, and to really gain from the platform, you'd like to learn a bit more about it. good thing is - it's not much, and it all feels very familiar, just another 'framework' for .net (and Java, amongst others....)
You can just build a pretty vanilla web application with a SQL backend and get it to work on Azure with minimal Azure dependencies. This application will then be pretty portable to another server or cloud platform.
But like you have seen, there are a number of Azure specific features. But these are generally optional and you can do without them, although in building highly scalable sites they are useful.
Azure is a platform, so under normal circumstances you should not need to remote desktop in fiddle with stuff. RDP is really just for use in desperate debugging situations.

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