I would advise to have a demo with them to understand the pricing. Sumo Logic Observability used to charge per data ingest, but now they charge by queries, making it difficult to estimate the cost if you're not familiar with similar products. Previously, you could say, "Okay, we generated 500 gigabytes of data last month; that's what we would be sending." Now, you're subjected to a random number of queries that you can't really calculate or predict if you're not using something similar. So, have a demo with them to understand the pricing model because it has moved from data ingests to the number of queries. Have it installed so you can send them some data. Use their certification section and landing section where you can actually work with the data you're sending, even if it's limited data. I would suggest sending some limited data to them on a trial account and checking out the education section. That's what I would suggest to you. Learning curve: It's an excellent learning tool. It's great for understanding and demonstrating whatever infrastructure and applications we have. It was literally the learning tool I used to teach people about our applications, infrastructure, and how Sumo Logic works. It's easy to pick up. Not only is it a useful learning tool, but it's relatively easy to start creating queries and doing your own stuff in Sumo Logic. When I had new people join, I would ask them to eventually do something via Sumo, like creating a dashboard that shows specific data. My rating for the product: Overall, I would rate the solution a seven out of ten. So there's a lot to be improved. I got to a point where I became an expert at what I was doing at my company, and I couldn't take Sumo Logic as far as I could. I was highly qualified in Sumo Logic, had all the certificates, the learning. I was the foremost expert of Sumo Logic in my company, me and one other peer. My manager and I originally set up Sumo Logic, so we were the pros and experts in our field. In our business, we knew exactly how everything worked, but we couldn't take Sumo Logic any further. In fact, the company I left is now, unfortunately, moving back from Sumo Logic. You can reach the maximum functionality of Sumo Logic quite quickly because it’s very easy to use, but it doesn't really offer the next step. I'm doing a lot of things now with Prometheus and Fauna, using more open-source tools that allow you to push further. In terms of observability in a wider sense, looking at tracing and logging as well as metrics, there's a lot more you can do elsewhere because I don't think Sumo Logic has much support for tracing. As an SRE, I'm almost wasting my time using Sumo Logic. It's good for LogPoint, but for wider reliability engineering initiatives and strategies that I'm starting to implement, Sumo Logic just wouldn't cut it, unfortunately.
It would be best to explore it as much as possible so that you can use it easily. The product is easy to troubleshoot. You should undergo some training before using it. I rate the tool an eight out of ten.
For everything it offers out of the box, ten out of ten. Honestly, I was blown away by a service that provides everything. But I would rate it a nine out of ten because there are certain times when the Logic doesn't provide Logs as fast as I want them to.
Software and Systems Engineer at Ben Abrams Consulting
Real User
Top 10
2024-01-11T22:06:00Z
Jan 11, 2024
Sumo Logic Observability operates as a cloud-based platform where Sumo serves as a unified control plane in a SaaS model. Sometimes, a collection mechanism may need deployment, such as an agent running on a process, like a VM, or a resource within a public cloud provider that sends data from sources like an S3 bucket. SumoLogic offers various integration capabilities, including cloud-to-cloud integrations, such as collecting logs without setting up a separate server. Different data sources can be brought into the system. Sumo Logic provides a wide range of solutions to facilitate this process, making it easy to decide on data ingestion, parsing, enrichment, and more. Overall, I rate the solution an eight out of ten.
Sumo Logic Observability is widely used for log aggregation, analysis, and SIEM capabilities. It assists in monitoring data, creating dashboards, and managing log storage.
Sumo Logic Observability helps teams with logging in production, debugging with trace IDs, and performing queries across large datasets. Developers leverage centralized logs for error detection and tracking metrics like successful transactions and data volume. Security teams integrate it with SOAR systems for...
I would advise to have a demo with them to understand the pricing. Sumo Logic Observability used to charge per data ingest, but now they charge by queries, making it difficult to estimate the cost if you're not familiar with similar products. Previously, you could say, "Okay, we generated 500 gigabytes of data last month; that's what we would be sending." Now, you're subjected to a random number of queries that you can't really calculate or predict if you're not using something similar. So, have a demo with them to understand the pricing model because it has moved from data ingests to the number of queries. Have it installed so you can send them some data. Use their certification section and landing section where you can actually work with the data you're sending, even if it's limited data. I would suggest sending some limited data to them on a trial account and checking out the education section. That's what I would suggest to you. Learning curve: It's an excellent learning tool. It's great for understanding and demonstrating whatever infrastructure and applications we have. It was literally the learning tool I used to teach people about our applications, infrastructure, and how Sumo Logic works. It's easy to pick up. Not only is it a useful learning tool, but it's relatively easy to start creating queries and doing your own stuff in Sumo Logic. When I had new people join, I would ask them to eventually do something via Sumo, like creating a dashboard that shows specific data. My rating for the product: Overall, I would rate the solution a seven out of ten. So there's a lot to be improved. I got to a point where I became an expert at what I was doing at my company, and I couldn't take Sumo Logic as far as I could. I was highly qualified in Sumo Logic, had all the certificates, the learning. I was the foremost expert of Sumo Logic in my company, me and one other peer. My manager and I originally set up Sumo Logic, so we were the pros and experts in our field. In our business, we knew exactly how everything worked, but we couldn't take Sumo Logic any further. In fact, the company I left is now, unfortunately, moving back from Sumo Logic. You can reach the maximum functionality of Sumo Logic quite quickly because it’s very easy to use, but it doesn't really offer the next step. I'm doing a lot of things now with Prometheus and Fauna, using more open-source tools that allow you to push further. In terms of observability in a wider sense, looking at tracing and logging as well as metrics, there's a lot more you can do elsewhere because I don't think Sumo Logic has much support for tracing. As an SRE, I'm almost wasting my time using Sumo Logic. It's good for LogPoint, but for wider reliability engineering initiatives and strategies that I'm starting to implement, Sumo Logic just wouldn't cut it, unfortunately.
It would be best to explore it as much as possible so that you can use it easily. The product is easy to troubleshoot. You should undergo some training before using it. I rate the tool an eight out of ten.
For everything it offers out of the box, ten out of ten. Honestly, I was blown away by a service that provides everything. But I would rate it a nine out of ten because there are certain times when the Logic doesn't provide Logs as fast as I want them to.
Sumo Logic Observability operates as a cloud-based platform where Sumo serves as a unified control plane in a SaaS model. Sometimes, a collection mechanism may need deployment, such as an agent running on a process, like a VM, or a resource within a public cloud provider that sends data from sources like an S3 bucket. SumoLogic offers various integration capabilities, including cloud-to-cloud integrations, such as collecting logs without setting up a separate server. Different data sources can be brought into the system. Sumo Logic provides a wide range of solutions to facilitate this process, making it easy to decide on data ingestion, parsing, enrichment, and more. Overall, I rate the solution an eight out of ten.
I rate Sumo Logic Observability a seven out of ten.