Most Helpful Review
Use vRealize Log Insight? Share your opinion.
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
I am very proud of how very stable the solution is.
Real-time UDP/GELF logging and full text-based searching.
UDP is a fast and lightweight protocol, perfect for sending large volumes of logs with minimal overhead.
Storing logs in Elasticsearch means log retrieval is extremely fast, and full text search is available by default.
We run a containerized microservices environment. Being able to set up streams and search for errors and anomalies across hundreds of containers is why a log aggregation platform like Graylog is valuable to us.
Allowing us to set up alerts and integrate with platforms we already use, such as Slack and OpsGenie to alert users of these errors proactively, is also a very useful feature.
It is used as a log manager/SIEM. It provides visibility into the infrastructure and security related events.
The build is stable and requires little maintenance, even compared to some extremely expensive products.
We are using it because we have a VMware product. It has its own built in dashboards for VMware products, and that's a good thing.
I would like to see a date and time in the Graylog Grok patterns so that I can save time when searching for a log. I like how the streams and the search query work, but adding a date and time will allow me to pull out a log in a milli-second.
More complex visualizations and the ability to execute custom Elasticsearch queries would be great.
With technical support, you are on your own without an enterprise license.
Elasticsearch recommendations for tuning could be better. Graylog doesn't have direct support for running the system inside of Kubernetes, so it can be challenging to fill in the gaps and set up containers in a way that is both performant and stable.
We ran into problems with Elasticsearch throwing a circuit-breaking exception due to field data size being too large. It turned out that the heap size directly impacted this size in a high-throughput environment, causing unexplained instability in Graylog. We were able to troubleshoot on the Elasticsearch size, but we should have been able to reference some minimum requirements for Graylog to know that our settings weren't sufficient.
Since container orchestration systems are popular and Graylog fits the niche well, perhaps they could officially support running in docker containers on Kubernetes as a StatefulSet as a use case. That way, the declarative nature of Kubernetes config files would document their best case deployment scenario-
Dashboards, stream alerts and parsing could be improved.
Over six months, I had two similar issues where searches were performed on field "messages". It exhausted all the memory of the ES node causing an ES crash and a Graylog halt.
The solution is a very good tool, but it has a lot of limitations. One of the main issues is around how you define your retention policy, for instance, in Log Insight. It doesn't have it. You can't define a log retention policy. You also can't define the destination or location for your logs. All of the logs are in one index or one bucket.
Pricing and Cost Advice
I use the free version of Graylog.
You get a lot out-of-the-box with the non-enterprise version, so give it a try first.
Consider Enterprise support if you have atypical needs or setup requirements.
If you want something that works and do not have the money for Splunk or QRadar, take Graylog.
I am using a community edition. I have not looked at the enterprise offering from Graylog.
Having paid official support is wise for projects.
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out of 44 in Log Management
Average Words per Review
out of 44 in Log Management
Average Words per Review
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Also Known As
Graylog is purpose-built to deliver the best log collection, storage, enrichment, and analysis. Graylog is:
|vRealize Log Insight delivers indexing and machine learning based Intelligent Grouping, to enable searching, for faster troubleshooting across physical, virtual and cloud environments. It help monitors and manages Machine Data at Scale through analyzing massive amounts of log data and delivers near real-time monitoring, search and log analytics, coupled with a dashboard for stored queries, reports and alerts. Speeds correlation of events across an entire IT environment. vRealize Log Insight creates Structure from Unstructured Data by collects and automatically identifies structure in all types of machine-generated log data (application logs, network traces, configuration files, messages, performance data, system state dumps, etc.) to build an index for performing analytics. And it offers a pricing model that includes unlimited data and does not require buying licenses based on peak usage and worst-case scenarios.|
Learn more about Graylog
Learn more about vRealize Log Insight
|Blue Cross Blue Shield, eBay, Cisco, LinkedIn, SAP, King.com, Twilio, Deutsche Presse-Agentur||Wildlands Adventure Zoo, Medic Mobile, IBM, Seventy Seven Energy, Baystate Health, Osis, Oxford University, Columbia University, Siemens, Cardinal Health, Ashdod Port, Vasakronan, Sydney Adventist Hospital, University of Derby|
Software R&D Company28%
Financial Services Firm16%
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