Level enables IT Professionals to remotely manage and monitor their workstations and servers from anywhere in the world. Level is the first security-focused remote monitoring and management (RMM) platform to implement peer-to-peer (P2P) connections that ensure a fully private and encrypted connection.
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Based on our record, Level.io should be more popular than Apache Mesos. It has been mentiond 34 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Level.io does this plus a whole lot more. As some have mentioned already, ideally there are lists of things to monitor. These can all be added to a policy along with up/down status and applied to devices. Source: 11 months ago
Level.io works from a browser, so no client needed on the controlling computer. Source: 12 months ago
With Level.io you can create a script library and then run them on one (or many) target devices. They could be run on the local client that is being used as well, which is what I believe you're asking for. This all works via an agent that checks in to the service and is responsible for the queueing and running off the scripts. Source: 12 months ago
Take a look at level.io for RMM. Free trial, no commitment, and no need to get a quote or talk to sales. Works for Windows, Mac, and Linux. Source: about 1 year ago
I'd recommend checking out Level (https://level.io). They charge a flat $1 per endpoint. Source: about 1 year ago
When we adopted Kubernetes at Criteo, we encountered initial hurdles. In 2018, Kubernetes operators were still new, and there was internal competition from Mesos. We addressed these challenges by validating Kubernetes performance for our specific needs and building custom Chef recipes, StatefulSet hooks, and startup scripts. - Source: dev.to / 2 months ago
In the beginning, there was docker. In 2013, building on linux internals, docker packaged containers for mass adoption and made it easy to share a complete runtime environment for an application across the network. Check out their first demo at PyCon 2013 (I was there!) At the time, serious workloads ran on something like Mesos, which was not “container-native” and had its own way of packaging and distributing... - Source: dev.to / 4 months ago
Distribution of containers to servers, clusters, and data centers Keeping applications up and running with the required number of instances Upgrading applications without downtime These issues are also known as cloud-native characteristics of modern applications. Therefore, a need for container orchestration systems has arisen. There are three leading container orchestrators on the market: Docker Swarm... - Source: dev.to / 10 months ago
Https://mesos.apache.org/ >Apache Mesos abstracts CPU, memory, storage, and other compute resources away from machines. - Source: Hacker News / over 1 year ago
Spark works locally on stand-alone clusters and on Hadoop YARN, Apache Mesos, Kubernetes, and other managed Hadoop platforms. - Source: dev.to / over 1 year ago
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