Logstash vs. Securonix Next-Generation SIEM

Perfect for projects where Elasticsearch makes sense: if you decide to employ ES in a project, then you will almost inevitably use LogStash, and you should anyways. Such projects would include: 1. Data Science (reading, recording or measure web-based Analytics, Metrics) 2. Web Scraping (which was one of our earlier projects involving LogStash) 3. Syslog-ng Management: While I did point out that it can be a bit of an electric boo-ga-loo in finding an errant configuration item, it is still worth it to implement Syslog-ng management via LogStash: being able to fine-tune your log messages and then pipe them to other sources, depending on the data being read in, is incredibly powerful, and I would say is exemplar of what modern Computer Science looks like: Less Specialization in mathematics, and more specialization in storing and recording data (i.e. Less Engineering, and more Design).

Incentivized

The best part of Securonix is it's architecture which makes it scalable and allows it to add any new feature to match the requirement. Securonix is well suited for enterprises who are mid to large size and are looking for a quick time to value, do not want to put upfront capex and invest less on the service layer. It becomes little costly for a small sized organisation.

Incentivized

• Logstash design is definitely perfect for the use case of ELK. Logstash has "drivers" using which it can inject from virtually any source. This takes the headache from source to implement those "drivers" to store data to ES.
• Logstash is fast, very fast. As per my observance, you don't need more than 1 or 2 servers for even big size projects.
• Data in different shape, size, and formats? No worries, Logstash can handle it. It lets you write simple rules to programmatically take decisions real-time on data.
• You can change your data on the fly! This is the CORE power of Logstash. The concept is similar to Kafka streams, the difference being the source and destination are application and ES respectively.

Incentivized

• A robust automated response mechanism via Playbooks.
• Thorough documentation on search query syntax.
• Built-in Graph/chart creation based on query results.
• A quick and responsive support team.

• 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

• There is a steep learning curve for the platform.
• Developing your own analytics can be challenging due to the depth and complexity of the analytics engine.

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

Securonix Next-Generation SIEM provides loads of features that can be utilized as per business requirements. With the Securonix Jupyter update, the feature set is fine tuned for efficient implementation. The SOAR platform will complete the product for automated response on top of the alerting capabilities. The primary factor for selecting a SIEM will include the support model. While implementing and currently using Securonix Next-Generation SIEM in our environment, we have experienced the best support provided by the SIEM team in all aspects.

Incentivized

Securonix acts with urgency to support day to day operational issues & queries and shows a real commitment to us as a partner. I rate this an 8 because there are still some bumps in the road, instances where communications can be sparse or unclear.

Incentivized

Logstash can be compared to other ETL frameworks or tools, but it is also complementary to several, for example, Kafka. I would not only suggest using Logstash when the rest of the ELK stack is available, but also for a self-hosted event collection pipeline for various searching systems such as Solr or Graylog, or even monitoring solutions built on top of Graphite or OpenTSDB.

Incentivized

I have worked with the Securonix PS team and they have done a good job so far.

Incentivized

• Positive: LogStash is OpenSource. While this should not be directly construed as Free, it's a great start towards Free. OpenSource means that while it's free to download, there are no regular patch schedules, no support from a company, no engineer you can get on the phone / email to solve a problem. You are your own Engineer. You are your own Phone Call. You are your own ticketing system.
• Negative: Since Logstash's features are so extensive, you will often find yourself saying "I can just solve this problem better going further down / up the Stack!". This is not a BAD quality, necessarily and it really only depends on what Your Project's Aim is.
• Positive: LogStash is a dream to configure and run. A few hours of work, and you are on your way to collecting and shipping logs to their required addresses!

Incentivized

• Securonix Next-Generation SIEM has reduced the amount of overhead required for environment monitoring by 15%!