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.
N/A
Percona Operator
Score 9.1 out of 10
N/A
The Percona Kubernetes Operator for Percona XtraDB Cluster or Percona Server for MongoDB automates the creation, alteration, or deletion of members in a Percona XtraDB Cluster or Percona Server for MongoDB environment. It can be used to instantiate a new Percona XtraDB Cluster or Percona Server for MongoDB replica set, or to scale an existing environment. The Operator contains all necessary Kubernetes settings to provide a proper and consistent Percona XtraDB Cluster or Percona Server for…
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 …
For a long time we struggled finding a viable solution to migrate our existing db workloads inside Kubernetes. Before "operators era" proper db workloads required manual management, of course that easily raised administrative overhead. Then the future started to be brighter …
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.
Production ready, robust DB solution built for Kubernetes envs, we was able, for the first time, to ship production db workloads inside k8s. Be sure to check differences with "traditional" MySQL and other clustering solutions. Also be sure to match it with proper k8s storage solutions.
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.
Easy and fast deployment. A reliable, fully automated, high-available db lifecycle management solution. It requires a bit of learning time for people new to operators ecosystem.
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.
For a long time we struggled finding a viable solution to migrate our existing db workloads inside Kubernetes. Before "operators era" proper db workloads required manual management, of course that easily raised administrative overhead. Then the future started to be brighter with the introduction of operators and the "official" Oracle's MySQL Operator, then Presslab's one, finally Percona's operator. Compared to other operators, the last one allowed us to ship production db workloads inside k8s.