Foglight vs. Splunk Observability Cloud

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.

Incentivized

Good for below cases 1. There is a front end and need to correlate data with front end data 2. multiple microservices and need to check the health of each system 3. correlate data from various sources 4. Application performance is a key to be captured 5. application performance is a key metric.

Incentivized

• VMWare Monitoring
• Custom use of scripts and dashboard
• Performance Analysis for Database
• Remote Monitoring for Linux and Windows.

Incentivized

• The first one is its Kubernetes container monitoring.
• I really like this features because as we know how much K8s is vast and to manually monitor each part of the Kubernetes it takes so much time but Splunk Observability Cloud makes it easier. And even once we integrate K8s with Splunk Observability Cloud it gives us some prebuilt dashboards which gives holistic view of our Cluster and its nodes, pods, etc.
• The dashbaord feature of Splunk Observability Cloud, it gives us full flexibility to customize our dashboard with a wide range of predefined chart types.
• Now it also supports OTEL, which is a plus point for observability. As now everyone is moving towards Otel and in current market there are only few tools who supports OTEL based integrations, Splunk Observability Cloud is one out of them.

Incentivized

• 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.

Incentivized

• An indicator for errors on the navigations pane so that we don't have to go through each tab.
• As we go more and more cloud maybe you guys can implement a pay-as-you-use strategy so that small companies using it not frequently can also afford it.
• That's it can't think of any and it wont let me skip to next question. Thanks

Incentivized

Good: Stable system with low error rate Easy to use for simple use cases Bad: UI is not very clear for complex usage Mobile view (when logged in from phone) is bad No library for .net

Incentivized

Overall a great tool to have in your toolbox, It is very intuitive and our entire staff uses the tool. It is easy to use and cost is very reasonable. Splunk also has excellent support team and very easy to work with. Every time we had a challenge, support team was able to help us with the end result.

Incentivized

Splunk support is very quick and efficient. Pre-sale specialists are very skilled and available.

Incentivized

Follow a training before starting.

Incentivized

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.

Incentivized

To be honest, Datadog is very similar to Splunk and LogScale to a lesser degree, but it is just as good if you don't need too complex observability. Grafana is still growing and might reach the same level soon.

Incentivized

• Positive - near instant alerts help combat potential problems quickly
• Positive - minimizes business interruption
• Positive - limits disruptions to productivity

Incentivized

• Significantly reduced the MTTR (Mean Time To Recovery), which in turn has improved the end-user experience tremendously.
• Meets compliance requirements of security policies, audit, regulation, and forensics.
• Helps us to track/manage the resource usage on our cloud instances which has a direct implication on the recurring cost.

Incentivized