swarmpit
elastic-beanstalk-roadmap
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swarmpit
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Docker Storm – Container Visualizaiton
So I need to setup prometheus, granfana, node exporter, and cadvisor before running this? All of the above give me everything I need to monitor a swarmcluster. And if I want multi-user access to the graphs, I’d configure auth in Grafana.
Further, if I were to monitor Swarm without the Prom+Grafana stack, I’d be looking at:
https://github.com/swarmpit/swarmpit
What is the value-add of Storm?
- Show HN: SetOps – Run containers, databases and more in your own AWS account
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Is Docker swarm visualizer viable on-premises?
And then also look at Swarmpit https://github.com/swarmpit/swarmpit. It was last updated Aug 28, 2020 as well, so I don't know how active it is, but I also used it for a while before sticking with Portainer ultimately.
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I self-host around 15 projects, should I use docker-compose, kubernetes or something else?
Kubernetes is a bit overkill. For my homegrown usage i use docker swarm. And use https://swarmpit.io to manage it
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Portainer alternative
Specific to swarm but it might help soneone in a way https://github.com/swarmpit/swarmpit
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Harbormaster: The anti-Kubernetes for your personal server
> There is gap in the market between VM oriented simple deployments and kubernetes based setup.
In my experience, there are actually two platforms that do this pretty well.
First, there's Docker Swarm ( https://docs.docker.com/engine/swarm/ ) - it comes preinstalled with Docker, can handle either single machine deployments or clusters, even multi-master deployments. Furthermore, it just adds a few values to Docker Compose YAML format ( https://docs.docker.com/compose/compose-file/compose-file-v3... ) , so it's incredibly easy to launch containers with it. And there are lovely web interfaces, such as Portainer ( https://www.portainer.io/ ) or Swarmpit ( https://swarmpit.io/ ) for simpler management.
Secondly, there's also Hashicorp Nomad ( https://www.nomadproject.io/ ) - it's a single executable package, which allows similar setups to Docker Swarm, integrates nicely with service meshes like Consul ( https://www.consul.io/ ), and also allows non-containerized deployments to be managed, such as Java applications and others ( https://www.nomadproject.io/docs/drivers ). The only serious downsides is having to use the HCL DSL ( https://github.com/hashicorp/hcl ) and their web UI being read only in the last versions that i checked.
There are also some other tools, like CapRover ( https://caprover.com/ ) available, but many of those use Docker Swarm under the hood and i personally haven't used them. Of course, if you still want Kubernetes but implemented in a slightly simpler way, then there's also the Rancher K3s project ( https://k3s.io/ ) which packages the core of Kubernetes into a smaller executable and uses SQLite by default for storage, if i recall correctly. I've used it briefly and the resource usage was indeed far more reasonable than that of full Kubernetes clusters (like RKE).
- Docker management
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Help finding a UI Solution
I believer Portainer and Swarmpit would have this capabilties https://www.portainer.io/ https://github.com/swarmpit/swarmpit
elastic-beanstalk-roadmap
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Ask HN: How are you hosting multiple small apps?
Based on the fact that your ideal is to have a similar experience to heroku than managing your own server setting up reverse proxies take a look at these options:
1) https://dokku.com - lets you turn your light sail instance basically into heroku
4) If you have aws credits this is their heroku equivalent: https://aws.amazon.com/elasticbeanstalk
above is not what I do but would be the options I would pursue if I understand your preference and requirement correctly.
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Deploying a Django Application to Elastic Beanstalk
Elastic Beanstalk (EB) is a cloud deployment service provided by Amazon Web Services. It facilitates the deployment and scaling of web applications and services by automating the creation of individual infrastructure components, including EC2 instances, auto-scaling, ELBs, security groups, and other infrastructure components. Using the AWS Management Console and command-line interface, deployment with EB is quick and simple. Although EB automatically handles your application’s deployment, the developer retains complete control of the AWS resources that run the application and may access them at any time. This is important, and it is a top benefit of using this service.
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Fortifying Your Three-Tier Application: Proactive Measures for Strengthening Your Application Security
This Terraform code snippet can be used to deploy an AWS Elastic Beanstalk environment:
- How can I share my backend API?
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So many options, getting confused
K8s isn't going to play well with your deployment pattern without some advanced cluster management. Honestly it seems like you would be better serviced with something like https://aws.amazon.com/elasticbeanstalk/ .
- AWS Wizards - how can I deploy my Java application?
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What will Komi's resume look like?
If your project is a bit more complicated using next.js or react.js or angular.js, you may find some free Platfrom-as-a-Service%20is%20a%20complete%20cloud%20environment,middleware%2C%20tools%2C%20and%20more.). I have seen some of my peers using free PaaS like Heroku, Vercel and I have no experience in using PaaS but I will recommend you to use PaaS from either of the three 1. Google Cloud's Google App Engine 2. Microsoft Azure's Azure App Service or 3. Amazon Web Service AWS Elastic BeanStalk
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Deploy Flask to Amazon Elastic Beanstalk
According to the official documentation, Elastic Beanstalk is a service that allows users to upload and deploy web applications in a simplified way.
- AWS Django Elastic Beanstalk tutorial problems
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How CodeCatalyst compares to other AWS Services related to Development and CI/CD processes
Beanstalk
What are some alternatives?
Portainer - Making Docker and Kubernetes management easy.
initializr - A quickstart generator for Spring projects
swarmlet - A self-hosted, open-source Platform as a Service that enables easy swarm deployments, load balancing, automatic SSL, metrics, analytics and more.
Ansible - Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.
Dokku - A docker-powered PaaS that helps you build and manage the lifecycle of applications
github-oidc-aws-cdk-example - Creating IAM User-free deployment pipeline by utilizing GitHub OIDC provider.
https-portal - A fully automated HTTPS server powered by Nginx, Let's Encrypt and Docker.
aws-cloudformation-coverage-roadmap - The AWS CloudFormation Public Coverage Roadmap
watchtower - A process for automating Docker container base image updates.
traefik - The Cloud Native Application Proxy
harbormaster
consul - Consul is a distributed, highly available, and data center aware solution to connect and configure applications across dynamic, distributed infrastructure.