Docker vs. OpenNMS Meridian

You are going to be able to find the most resources and examples using Docker whenever you are working with a container orchestration software like Kubernetes. There will always some entropy when you run in a container, a containerized application will never be as purely performant as an app running directly on the OS. However, in most scenarios this loss will be negligible to the time saved in deployment, monitoring, etc.

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I would recommend all system administrators use some form of network monitoring if they are not already doing so, and I'd definitely recommend people consider OpenNMS if they're shopping around. Small businesses will benefit from the low-cost of entry (it's free!), whilst getting all the enterprise features. Larger businesses can benefit from paid support plans.

However, there's no getting around the fact that you will require some advanced networking and sysadmin knowledge to get the most out of OpenNMS, or at least, be prepared for a steep learning curve. If you don't have the resources to devote this time initially, you may struggle.

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• Packaging of application to limit the space occupied
• Ease of running the application
• Provide multiple ways to handle the application issues and integration of different components like pipeline, ansible, terraform etc

• Report on SLA
• Group network areas
• Discovery of elements

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• Docker hub image retention policy can be relaxed
• Docker hub policies can be more developer friendly
• Docker CLI help section can be improved
• Image and container storage (local) management can be optimized

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• We've had a few issues with delayed alerting.
• I haven't quite figured out how to make topologies work yet, but I haven't spent a ton of time on it either.
• We've also had a bit of trouble importing some MIBs, but that usually boiled down to working with the vendor to make sure we had the right MIBs and dependencies.

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I have been using Docker for more than 3 years and it really simplifies the modern application development and deployment. I like the ability of Docker to improve efficiency, portability and scalability for developers and operations teams. Another reason for giving this rating is because Docker integrates CI/CD pipelines very well

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Haven't seen any outages, fatal/unrecoverable errors in my usage so far. Enough said.

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Docker Desktop. The CPU high usage is a known issue. Needs fixing. Otherwise, it is great overall. Would not use anything else still.

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The reason why we are still using Docker right now is due to that is the best among its peers and suits our needs the best. However, the trend we foresee for the future might indicate Amazon lambda could potentially fit our needs to code enviornmentless in the near future.

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OpenNMS's more attractive GUI and its price break were the main reasons our company chose to explore and use this product. However, it never managed to actually replace Nagios which had a much more established hold within the company. Perhaps we were over-monitoring, but our company claimed a $100k loss per hour of downtime.

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It is the only tool in our toolset that has not [had] any issues so far. That is really a mark of reliability, and it's a testimony to how well the product is made, and a tool that does its job well is a tool well worth having. It is the base tool that I would say any organisation must have if they do scalable deployment.

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• Reduces the number of virtual machine which impacted our quarterly billing
• Using docker with proxy we run multiple application on same port on same host.
• impact on billing is we have to provide docker training to the people who are working on it.

• Initial adoption required quite a lot of resources and time to get everything right. Totally worth it for us; just be prepared for a gradual process that will get better and better with time.
• Once setup and running smoothly, it provides us with all the reporting we could hope for, at near zero cost.
• With OpenNMS, we're able to offer a much more reliable service to our customers, and spend a lot less time dealing with issues.

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