Foglight is a database performance management suite from Quest, with modules to perform cloud analytics, network performance monitoring and virtualization management, scaling to a broad, cloud / virtualization focused IT infrastructure monitoring solution.
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LXD
Score 9.9 out of 10
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LXD is a system container and virtual machine manager. It offers a unified user experience around full Linux systems running inside containers or virtual machines. LXD is image based and provides images for a wide number of Linux distributions. It supports various use cases, with support for different storage backends and network types and the option to install on hardware ranging from an individual laptop or cloud instance to a full server rack. LXD is written in Go. It is free software…
Foglight is a tool that allows productivity to advance quickly and safely, offering data monitoring and optimization, guaranteeing the success of our business. It is a solution that provides relevant data for strategy and data analysis without losing sight of the final …
Foglight was chosen years ago as a replacement for Groundwork. After 2.5 years of implementing Groundwork things were still not complete and the decision to go with a more formalized solution was made. Foglight installed easily and quickly nearly across the board and the full …
We selected Foglight almost 6 years ago for its advancements in the APM space, moving toward a single pane of glass and their SaaS development. They have since abandoned the APM and SaaS offerings to focus solely on Database and Compute monitoring. This is why we are migrating …
We were previously using Oracle to monitor resources across servers and networks. In general, that product was alright but the Foglight alerts are far superior to Oracle. The business goal of using Foglight is really to minimize business interruption costs so the faster and …
Linux Containers LXD feels like a more primitive version of docker, docker-compose and similar projects from the docker ecosystem. The Dockerfile and docker-compose.yml methods of specifying a container setup, as well as the network and file configurations afforded by Docker …
It really depends on why my colleague is evaluating Foglight. If it is for Database monitoring and management, I highly recommend it. If it is for anything else, I would encourage them to look at others in this space.
Scenarios where you need an authentication server, a GIT repository the system works very well 'cause you don't need any scalability and the ease to configure and share the same Linux system image across the containers and the rollback process is quick. I didn't put any critical applications there not because of the limitations but due to a company policy.
Foglight allows detecting and diagnosing performance problems simplifying hybrid environments, it is a solution that has perfect features which work in a flexible and intuitive way, it allows database performance in a safe and fast way. It works perfectly with nothing else to add.
Foglight was chosen years ago as a replacement for Groundwork. After 2.5 years of implementing Groundwork things were still not complete and the decision to go with a more formalized solution was made. Foglight installed easily and quickly nearly across the board and the full implementation for complex infrastructure was completed (with no Professional Services) by us in under 4 months. Nagios is a wonderful toolkit but you have to be ready to build what you need. It's flexibility and breadth are excellent features but with that comes the need to define things very tightly lest you embark on the project that never ends (see above about Groundwork). Dynatrace is an excellent APM tool and has advanced analytics but as a general infrastructure monitoring tool it is actually very expensive and to be honest does not have the same focus and full feature set that it does on it's APM (which to be fair is it's wheelhouse). vROPs (we also have) is a wonderful tool but focused (and rightly so) on satisfying the VMware engineers in the crowd and doesn't put itself out there too far to make things palatable for the non-engineering crowd.
Linux Containers LXD feels like a more primitive version of docker, docker-compose and similar projects from the docker ecosystem. The Dockerfile and docker-compose.yml methods of specifying a container setup, as well as the network and file configurations afforded by Docker make working with containers much easier and more reproducible than with Linux Containers LXD.