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
Pricing
SolarWinds Loggly
Editions & Modules
Standard
$79
per month/billed annually
Pro
$159
per month/billed annually
Enterprise
$279
per month/billed annually
Offerings
Pricing Offerings
SolarWinds Loggly
Free Trial
Yes
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Yes
Entry-level Setup Fee
No setup fee
Additional Details
Free trial for Standard and Pro plans for 14 days with all features.
More Pricing Information
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SolarWinds Loggly
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See helpful people who have experience with this product
Security Onion was a much better fit for our uses at this time. The more we integrate into a hybrid environment the more need for Loggly but at this time Security Onion accomplishes our goals.
We found that Loggly is a very good balance between functionality and costs. With the ability to analyze different log files across different platforms gives it just a bit of a bigger edge compared to other monitoring systems.
Loggly was the easiest to use and the one that really allowed us to get a full view of what's going on with our services, and proactively solve problems.
With Loggly we can manage not only AWS apps but all the apps we have (not only Cloud-based apps). It is also very convenient to add users that need to have access to a given log streams: we do not need to manage an AWS IAM role/user. And the search engine is way more easy and …
SolarWinds Loggly integrates well with other SOlarWinds products, and that is ultimately why we chose to use Loggly. LogDNA was fine for our needs, but costly for only providing logging.
We initially setup New Relic to monitor our servers/performance as well as look into the potential of having our servers log data into there as a "single source" of our data monitoring. However, we found that the logging needs in New Relic were not in line with the application …
Loggly proved to be very easy to set up and integrate with our existing systems without having to add extra agents or roll our own everything. Insights others give for Java performance may be better than we've seen with Loggly, but in terms of log aggregation and data insights …
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 …
We have a Nagios Log Server, however needed specialist help to get it running before it fell over, which is why we went down the Loggly route. We also use Microsoft Cloud App Security, however we find using this as well as Loggly gives us double the power to search for issues …
Loggly was a mistake. We selected it to get a cheap vendor-hosted solution up and running quickly but have come to regret the decision and should have spent the effort to set up the right tool from the beginning.
Graylog would also have met our requirements, but since we then needed to run a virtual machine (with huge disk space) and also needed more work for setup and maintenance, our calculations resulted in Loggly being more cost effective. Icinga is not made for log file monitoring …
Loggly is at another level at indexing and search experience. However, since CloudWatch has the full history with least cost it is always the fallback. So if Loggly has something like S3 glacier kind of feature for keeping old logs which are least accessed with less cost, that …
I've used ELK, Sumo, Splunk, Cloudtrail/watch, Sentinel. You get what you pay for. If you have the time, expertise, and budget for a Splunk setup, you can't beat it. ELK is great for OSS shops but takes more hand-holding to scale and stabilize. Loggly, for us, was closer to …
I honestly didn't shop around that much. I came from CloudWatch, which though it has been improving, was very frustrating when it came to just setting up a simple alarm when a specific log message is found, or extracting useful metrics from logs. Loggly was recommended to me by …
Price and ease of deployment were huge factors in our decision to use Loggly. Loggly is actually within reach for most companies while also being very easy to setup. Elasticsearch, for instance, had wildly outdated documentation when I was previewing all these tools so I was …
I have used EFK stack (ElasticSearch, Fluentd, and Kibana) and Splunk. Solarwind Loggly is the most flexible managed service out of these solutions and suitable for companies embracing the SaaS model
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.
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.
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.
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.
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.