Graylog Scalability
It's pretty scalable. We didn't hit any ceiling when scaling it up. You throw hardware at it, and it just performs fine. The only issue is the cost. It's not dependent on how big an instance you have. The problem is that it costs a fortune.
We have about 300 users, but it's not about the users. It's about the traffic we have. Our traffic is pretty big. We have thousands of messages going per second through the Graylog instance. It's not that we have many users making queries concurrently, but still, to have the data ready for querying, Graylog needs to crunch it, process it, and write it to Elasticsearch, and that's what consumes resources most of the time.
View full review »Graylog can scale, but technically, Graylog's scalability mainly depends on Elasticsearch because it uses Elasticsearch as the backend. I would say the question should probably be about how well Elasticsearch can scale. The answer to that would be that it is pretty scalable, but it's not simple. It's not like Kubernetes, where you just add a few extra replicas and you get performance right of the box. It's a bit complex to scale it, but it is scalable.
View full review »This solution was definitely scalable to our needs.
View full review »Buyer's Guide
Graylog
March 2024
Learn what your peers think about Graylog. Get advice and tips from experienced pros sharing their opinions. Updated: March 2024.
765,386 professionals have used our research since 2012.
The product is scalable. Currently, three individuals, myself included, use the solution in our company. We plan to increase the usage in the future.
Graylog
We have approximately 40 to 45 people using the solution in my company. There are three different teams using it, such as developers and testing teams. The teams use the solution on a daily basis.
View full review »JC
JasonCrow
Senior Architect at a tech vendor with 51-200 employees
No issues with scalability.
View full review »We have 50-60 users of the solution. Its scalability gets complicated when we have to update or edit multiple nodes. It is a very tedious task to add new nodes to the cluster. I rate its scalability a six.
View full review »CN
CharlesNetshivhera
Senior DevOps Engineer at a financial services firm with 10,001+ employees
Graylog is scalable and can be deployed in a clustered distributed environment.
View full review »No scaling issues that I have seen with the three nodes of MongoDB and the three nodes of Elasticsearch. I will transition to have HA, load balancers, and buffering/queues as we move forward. I see things have changed in the latest version, or current -1 that I am using right now. I see durability is defined, I just need to reach out and implement it.
View full review »JD
John Paul Dienst
Technology Consultant
No issues.
View full review »AN
AC N
Head of Infrastructure
We've grown from 500 to 2,000 independent devices on this solution, and it captures them all. We even plan to increase our usage. So, yes, the program is scalable.
View full review »We never attempted to scale the environment, as its sizing is defined in the planning phase and it fitted us later perfectly.
View full review »No issues.
View full review »JM
ITSecuri4852
IT Security Consultant at a tech services company with 10,001+ employees
We have scaled from a single machine installation (a VM with a Graylog + ES + MongoDB) to (2 Graylog + 2 ES + 3 MongoDB). This was done smoothly with a minimal impact on logging.
View full review »Not yet.
View full review »AT
reviewer1270395
Entrepreneur at a tech services company with 51-200 employees
I believe it's a scalable solution but haven't tested it yet.
View full review »RF
reviewer1751748
Systems Architect at a tech services company with 51-200 employees
It is scalable.
View full review »Buyer's Guide
Graylog
March 2024
Learn what your peers think about Graylog. Get advice and tips from experienced pros sharing their opinions. Updated: March 2024.
765,386 professionals have used our research since 2012.