Amazon EC2 Auto Scaling vs. Mirantis Kubernetes Engine

[Amazon EC2 Auto Scaling] is simple to set up and pretty self-explanatory. Never had issues around scaling up or down. [Now] we won't need to guess the capacity for our apps or services. The both scaling, up and down is simply perfect, you can actually stop checking every time for resources because this tool takes care of everything

Incentivized

Docker is great for when you would want to use a VM for any given application, but don't need the overhead of the whole OS. Docker containers use very little computing resources, boot up very quickly, and are very easy to set up. An instance where Docker may not be appropriate would be for an application that requires good security. If in this situation, a true VM would probably be your best bet.

Incentivized

• Dynamic scaling can be configured to respond to a wide variety of metrics and alerts
• Predictive scaling allows one to get ahead of high traffic events rather than simply reacting to them
• Health checks are configurable based on the needs of your application and architecture

Incentivized

• Containerization - allowing multiple micro-services to function together without in-depth orchestration at the VM level.
• Rapid deployment - a developer with appropriate access can simply push to the correct remote and the deploy happens automatically from there
• Decouples provisioning from VM administration - allows containers to be deployed (more) regardless of VM set up.

Incentivized

• Sometimes, Auto scaling takes time to spin up your instances if your traffic is so high in short span of time.
• And, Auto scaling can be more efficient if we have only Load balancer in our architecture.
• It has some limitations on setting up the Auto scaling infra.

Incentivized

• Docker has a bit of a learning curve, and it takes some time to become familiar with the tooling and syntax. Transitioning an existing architecture to docker can represent a significant investment.
• Docker attempts to provide some level of cross-host container orchestration via swarm, but it falls short of third-party solutions like kubernetes.
• We occasionally run into stability issues when the docker daemon is subjected to high load (many applications starting/stopping frequently). In these cases, docker hangs and we have to restart or replace the node.

Incentivized

Usability is good since we already know how AWS works. For those that are new it might be a little bit confusing at the beginning but they are improving it at a fast pace. Even though AWS keeps changing the user interface constantly, it is still powerful, understandable and easy to use. For technical people, they still offer the CLI.

Incentivized

Docker's CLI has a lot of options, and they aren't all intuitive. And there are so many tools in the space (Docker Compose, Docker Swarm, etc) that have their own configuration as well. So while there is a lot to learn, most concepts transfer easily and can be learned once and applied across everything.

Incentivized

The platform works as is. The help and tutorials on the help page can help you to setup the entire platform without problems, and also provides help on a huge variety of problems. Amazon also provides support plans. We have the basic support plan, but Amazon offers three support tiers, and we know that it works perfect.

Incentivized

The community support for Docker is fantastic. There is almost always an answer for any issue I might encounter day-to-day, either on Stack Overflow, a helpful blog post, or the community Slack workspace. I've never come across a problem that I was unable to solve via some searching around in the community.

Incentivized

The operating system, CPU, RAM, and storage may be constructed in any configuration and readily altered after the build. The most important factor is the "sense of security."Problems may arise once every several years, but there is a significant difference when discussing how to cope with hardware problems in the local age.

I have not used any other software as a container management solution. Its containerized apps allow the usage of less memory, thus
they start and shut down very fast. This tool is helping the enterprise
software to work quickly against the changing conditions thus offers great
scaling by simultaneously allowing me to meet the demands, which also leads to
easy implementation of the strategies.

Incentivized

• We will devote more time to development than server administration, but we will require additional time if you migrate from another ecosystem.
• Fault detection and reporting are automated in the old server, and bandwidth is fixed per month, but everything is manageable automatically. We only pay for the resources we use.
• After some months, we met our return on investment (ROI).

• We are able to try things very quickly compared to before. If you need to debug it, changes on X/Y/Z will have an impact on the way your app works, and changing libraries or configurations of the environment easily can improve your development cycles.
• In case someone new arrives, the onboarding is pretty easy thanks to Docker. We have tried many configs and images until we reached a point were we have what we want. We don't have to painfully do that again for every new user. We just send him the image.

Incentivized