Should i use elastic beanstalk




















Very knowledgeable and articulate on the subject matter. Thank you for everyone who joined us this past year to hear about our proven methods of attracting and retaining tech talent. Let's review your current tech training programs and we'll help you baseline your success against some of our big industry partners. Need help finding the right learning solutions? Email Us: info developintelligence. Onboard For Tech Teams Reduce initial time to productivity.

Increase employee tenure. Plug-and-play into HR onboarding and career pathing programs. Customize for ad-hoc and cohort-based hiring approaches. Tailor to tech stack and specific project. The web app relies on several external systems and processes. These kinds of transactions must be performed asynchronously because it can take a while to process the data. And therein lies the first problem. The whole point of a worker process is to perform a task in the background without slowing down your main web app.

Additionally, users can upload data in large CSV files and have that data processed in the background. However, Elastic Beanstalk is designed to manage multiple instances of the same process — specifically, a single web app. The diagram is from an article on how to set up a multicontainer environment.

An Nginx installation, however, is mandatory. Elastic Beanstalk uses Nginx as the reverse proxy to map the web app to the load balancer on port A task is basically an instruction to run specific containers. The problem is that Elastic Beanstalk abstracts away all the complexity normally associated with managing capacity in EC2.

To scale the workload and manage costs, you could run Task A in many ECS container instances but restrict Tasks B and C to a limited number of instances. Now, there are of course workarounds — one option is to run the worker processes in separate threads on the instance where the main web app is running. However, this workaround would make the worker processes difficult to monitor and hard to scale.

This is because all the containers that are required to run your platform are defined in a single task and deployed to each instance. This is because failed deployments are notoriously hard to troubleshoot. Take this quote from an older Medium article about Elastic Beanstalk:. While the original author had a generally good experience with it, this quote sums up why Elastic Beanstalk is not for the best solution for mission-critical applications.

For example, I once worked for a company that provided over-the-air software updates to connected cars. Their platform consisted of multiple microservices that ran in a Kubernetes cluster. If an outage prevented a vehicle manufacturer from pushing a hotfix out to their customers, it was a big deal — we had to provide a precise explanation and detail the measures that we would take to improve our infrastructure.

Let me use a real-life example to illustrate why. We had a situation where we were deploying a major update within a specific maintenance window outside normal working hours.

The developers needed to take the whole web app down but we only needed about 10—20mins — or so they thought…. The update in question was a database migration that enabled the platform to support multiple tenants. The developers needed to stop the application temporarily so that there was no interference with the database while it was being migrated.

Unfortunately, there are no log files for the entire environment, only individual instances. Next, they tried some solutions which had worked previously:. Running Wordpress For running Wordpress, it is whatever you are most comfortable with. What to pick? Improve this answer. Nam G VU Josh Davis Josh Davis 6, 2 2 gold badges 23 23 silver badges 24 24 bronze badges.

Just to be clear, you mean you want to spend more time on development rather than configuring servers and everything like that? It's a common pattern these days for companies to build Docker images of their applications and deploy those to a container management tool Kubernetes, Mesos, Docker Swarm running on a pool of EC2 instances.

It's a good solution if you're running multiple applications, and simplifies management and billing. If you're running a single application, unless you just like the Dockerized model, Beanstalk is a better option. Its a sad when the Amazon themselves cant explain their own products clearly. But it's true, they can't. Ephra dude, they leave EC2 because not everybody wants a preconfigured server, some enterprises prefer configure the servers themselves, due to security, automation reasons etc.

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