SolarWinds Loggly vs. Splunk Cloud Platform

SolarWinds Loggly is great for capturing and organizing logs from 3rd party sources such as NGINX. Without SolarWinds Loggly it's really difficult to manage the logs overtime, find traffic patterns, and identify issues before they become a problem. Anyone who is routinely searching through massive log files could quickly benefit from the SolarWinds Loggly and it's capabilities.

Incentivized

I will highly recommend this software because using Splunk
Cloud has helped us become more proactive about handling our security concerns
and better manage our environment. It is one of the finest security software
that is easy to use and also provides analytics. It has excellent features like
creating dashboard security and managing features etc. So you must give it a try once!

Incentivized

• Modern: Loggly is modern: Dashboards, realtime information and the ability speak many different data sources and environments makes it an attractive choice
• Configurability: Loggly gets log parsing right: by allowing you to in real time- filtering of log data, tagging and identifying data sources
• DevOps friendly: Loggly is very Componentized: You can have an instance of Loggly running that will Monitor your Linux instance, in addition to all of it's services, as an example. Also, you can start/stop Loggly, without affecting your other components

Incentivized

• With Splunk Cloud you get the advantage of moving from POC to Production in a matter of days rather than in months allowing the Business to gain a lot.
• Takes you away from managing infrastructure/administration, allows saving time & money. Reduce the overall TCO (Total Cost of Ownership)
• Move from Reactive to Proactive Monitoring
• Highly secure environment at your finger-tips

Incentivized

• Once the logging limit is exceeded, there are no logs period. Unexpectedly noisy logs often correlate with services misbehaving and potentially leading to disruption. An outage is an awful time to lose visibility into the entire system of apps. Some ways to bridge this gap would be appreciated.
• Filtering by tags is not intuitive in the web interface. You may believe that you are performing the same search and filter as last time since the tags entered are the same, however, this is often not the case. The reliable way to know that you have the same filter is to bookmark the URL. This lack of ease in usability results in devs using Loggly less than they could and implementing logs less effectively during development time (since they don't consider themselves likely to view them anyway).
• Would like to see a way to onboard our less experienced devs to using Loggly effectively.

Incentivized

• Some of their more advanced features, like ITSI, Machine Learning, or Security Analytics, can be very challenging to setup and configure.
• Splunk Cloud support has been a challenge in the past. They are getting better, but they have had problems responding in a timely manner to issues.
• These are only some minor observations of things I have had to deal with. In general, Splunk is a solid product that is fantastic to use.

Incentivized

Management is not open to having an agent sending the data to the cloud instance.

Incentivized

Ease of use and have all the features we need

Incentivized

Loggly's easy setup, very good customer support, and intuitive interface make Loggly very easy to use. User access management is also very easy as we can tailor the experience for each of our developers to access the information they need without having to wade through other information. While there was a slight learning curve in how to view the logs the way some specifically wanted, everything was possible and quite easy to do.

Incentivized

What it does well:

- Powerful SPL query language for advanced users

- Excellent visualization dashboards

- Comprehensive documentation and community support

Where it needs work:

- Steep learning curve for SPL syntax

- Non-Intuitive UI for beginners

- Complex administration and data model configuration

- Search performance degrades with poor query optimization

Bottom line: Enterprise-grade tool requiring dedicated training investment. Best for teams with experienced analysts.

Incentivized

The support team have been great when we have logged tickets or had issues, most of the time it is down to user training, however we have had a couple of bugs that they have been able to iron out for us.

Incentivized

Splunk Cloud support is sorely lacking unfortunately. The portal where you submit tickets is not very good and is lacking polish. Tickets are left for days without any updates and when chased it is only sometimes you get a reply back. I get the feeling the support team are very understaffed and have far too much going on. From what I know, Splunk is aware of this and seem to be trying to remedy it.

Incentivized

It has good architecture, which focus on ese of use.

Incentivized

I actually couldn't get anybody from Datadog to engage with me, the main problem we had was that our devices couldn't connect to an encrypted port, but we didn't want to send our logs in plain text over the internet. We implemented an on-net log aggregator which then connects to Loggly over encrypted UDP. In theory Loggly made this particularly easy providing configuration snippets for most of the common log services (e.g. rSyslog, syslog-ng). Unfortunately the documentation was out of date and none of the provided configs worked, fortunately they were close enough that combined with our own syslog-ng experience we were able to get it up and going relatively painlessly. The choice then of going with Loggly, backed by an industry favourite in Solarwinds was a no brainer.

Incentivized

Microsoft Dynamics is far more complex and far more costly to implement and configure in comparison to Splunk. It can be useful for integrations into existing Microsoft databases. Grafana is quick and easy to deploy and configure. However, it lacks the scale required for an enterprise of our size. It is great for smaller test cases.

Incentivized

• Loggly has alerted us to several bugs, ranging from major to small to "would have been a major problem under load."
• It's great having our disparate logs collected and the alerts we have set up around them let us know recently that somebody used an incorrect document to generate a mass email. Users were trying to log in with the link provided but getting 401s and I have an alert configured to tell me about high numbers of 4xx errors.
• Metrics and alerts around metrics have given us peace of mind that automated fulfillment systems aren't going off the rails and costing us hundreds of dollars.

Incentivized

• Splunk Cloud has had a positive ROI in helping more efficiently track the cause of Help Desk Tickets.
• The billing model which is based on the amount of data from logs uploaded doesn't alert if a threshold is approaching. This can have a negative ROI.
• The training that I have taken while in-depth and focused is pretty expensive.

Incentivized