Loggly is a cloud-based log management service provider. It does not require the use of proprietary software agents to collect log data. The service uses open source technologies, including ElasticSearch, Apache Lucene 4 and Apache Kafka.
$79
per month/billed annually
Splunk Log Observer
Score 8.4 out of 10
N/A
Splunk's Log Observer reduce time troubleshooting. The live Tail allows SREs and developers to filter and watch critical logs without having to learn a query language.
$6.25
per month per host
Pricing
SolarWinds Loggly
Splunk Log Observer
Editions & Modules
Standard
$79
per month/billed annually
Pro
$159
per month/billed annually
Enterprise
$279
per month/billed annually
No answers on this topic
Offerings
Pricing Offerings
SolarWinds Loggly
Splunk Log Observer
Free Trial
Yes
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Free trial for Standard and Pro plans for 14 days with all features.
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.
The query language is relatively easy and flexible when looking into an application's problems. These queries can then be used for alerts, reports, and dashboards. I believe Splunk is a platform that can help a system grow into its proactive application management, using incidents to add insights as needed without trying to work out every scenario in advance.
Putting our logs in one place and making them searchable. We use AWS, and CloudWatch has always been a little frustrating in this regard (though it has gotten better recently).
Deriving metrics from our logs. I think log-based metrics is such a good idea because your logs are the ultimate source for truth in regards to what the hell is going on inside your app. I have really loved the simplicity with which I can just count certain statements and call that a metric because just through the normal course of development certain log statements just naturally become a straightforward recording of an event having occurred.
Alerts. I actually have a few complaints about email alerts, but just the way I was able to set them up so easily has been huge. Since we started using Loggly, there have been at least 3 bugs that Loggly exposed that were frankly very bad. And withoutt Loggly or without a user reporting them, we would have never known they were happening! This is stuff I tried to set up in CloudWatch in various ways, but because of my own ignorance or perhaps the complexity/limitations of CloudWatch (or the complexity of my stack?), I wasn't getting the information that I needed until I was able to just tell Loggly to send me an email whenever the word "error" showed up.
We have to use a log aggregating device to ship our logs to Loggly as our network devices can not connect on an encrypted protocol. I would prefer if we could use some sort of VPN-based connector to ship logs securely.
Sometimes when drilled down, it can be difficult to fully reset a search term to back all the way out of a drill down.
You can use table-like functionality to generate dashboards, but these queries are heavy on the system.
It could be easier to give insight into what type of line parsing is used for specific documents in a company-managed environment and/or show ways to gain the insights needed.
I would like to see ways to anonymize specific data for shared reports without pre-formatting this in a dashboard on which reports could be based.
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.
It gives access to data features for every level of users: from managers and executives to Analysts, each one with the correct level of observation and analysis.
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.
We were using Zabbix. While it is an open-source solution that you can install for free the following things were limitations of the solution. 1) The scale and uptime of the solution are now your own problem. Since we were hosting at AWS this meant we still had a cost of the AWS solution. 2) The product is complicated from a configuration standpoint. In order to get anything meaningful out of it, you had to invest a lot of time and effort. We did consider NewRelic. I have experience with that product and do think that it is a solid alternative. Ultimately experience with the simplicity and speed of deployment with Loggly encouraged me to suggest using this again.
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.
Unfortunately, we hit our logging cap on a weekly basis and we lose logs after that.
We have lost logs after hitting the maximum during service outages. We have become accustomed to not being able to rely on having them, then things go poorly.
