Perfect choice for big datacenters
September 15, 2025

Perfect choice for big datacenters

Asad Khan | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Logstash

Logstash is a part of the ELK stack in the private Telcocloud datacenter I used in Nokia. The Telco datacenter infrastructure has a lot of logs to be analyzed, and Logstash acts as a log shipper on the Opensatck-based infrastructure. It helped collect logs from various sources and then processed them in the required format to be displayed on Kibana for analysis & Grafana for visulisation for graphs

Pros

  • Supports unstructured log data into searchable fields
  • Wide integration with almost any data source and backend
  • Powerful searchable fields, including unstructured log data
  • Supports various formats like JSON, CSV, XML, key-value, etc

Cons

  • It is heavy i.e., intensive as of now. Need to reduce overhead to save CPU/RAM consumption
  • Need to be more Kubernetes-friendly. Should support auto-scaling and K8s observability
  • Initial configuration is still complex. A seamless config procedure is still required
  • It is very difficult to give any figures on ROI, as it depends on many factors, and in a Telcocloud environment, it is much complex to find out; however, I would give some points below on ROI
  • ROI based on flexibility is very high, as it reduces the time to find RCA
  • ROI based on integration is very high because it supports multi-vendor environments, avoiding vendor lock-in & works across multi-cloud setups
  • ROI on resource consumption is less because Logstash in 2-3 times more resource-intensive as compared to its lightweight alternatives resulting in latency
As I said earlier, for a production-grade OpenStack Telco cloud, Logstash brings high value in flexibility, compliance, and troubleshooting efficiency. However, this brings a higher infra & ops cost on resources, but that is not a problem in big datacenters because there is no resource crunch in terms of servers or CPU/RAM
Logstash is a part of ELK stack which is a standard choice of many vendors across the world for logging & monitoring in a datacenter environment

Do you think Logstash delivers good value for the price?

Yes

Are you happy with Logstash's feature set?

Yes

Did Logstash live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Logstash go as expected?

Yes

Would you buy Logstash again?

Yes

Logstash is a good choice for a full-fledged VM-based or bare-metal server data center because there is no resource crunch in a production-grade data center. It collects multiple inputs like logs, metrics, and events from diverse sources (files, syslog, Beats, Kafka, cloud services). It only loses some points in K8s-based infrastructure because there is still scope for improvement for Logstash in supporting K8s observability and auto scaling.

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