Our primary use case is logging for everything within the company. We have a custom LogShipper, and for whatever deployments we have, we add the LogShipper into our containers, apply customer configurations to parse log files, and send desired fields to ChaosSearch. We then review logs on ChaosSearch.
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Cost-effective logging solution with room for search and interface improvement
What is our primary use case?
How has it helped my organization?
During my time at the company, I didn't see any improvements from using ChaosSearch. We faced some struggles, and it's unclear whether the problem was with the search function itself or due to incorrect configuration by our team.
What is most valuable?
ChaosSearch is considered a cheaper alternative to Elastic. The decision to choose this vendor was likely influenced by its lower cost, especially as pricing was a major concern. It also provides the same tooling set as Elastic, including open-source Elasticsearch and Kibana query language.
What needs improvement?
The user interface could be more intuitive and requires improvement. The search function often feels wonky, making it difficult to find specific messages. There should be documentation or feature enhancements to aid in more accurate searches.
For how long have I used the solution?
I have been using ChaosSearch for a little over a year.
What do I think about the stability of the solution?
ChaosSearch appears to be stable, as I have not experienced any crashes or downtimes.
What do I think about the scalability of the solution?
Scalability-wise, I haven't seen any issues with ChaosSearch, although finding specific messages is challenging due to limitations with searching logs.
How are customer service and support?
I haven't heard about any technical support being provided for ChaosSearch.
How would you rate customer service and support?
Neutral
Which solution did I use previously and why did I switch?
Before ChaosSearch, some teams might have used OpenSearch. However, ChaosSearch has become standardized across the company.
How was the initial setup?
The initial setup was handled by another team, and they provided the necessary installation packages and configurations, so I have no personal experience.
What about the implementation team?
The setup and maintenance are managed internally by another team within the company.
What was our ROI?
ChaosSearch provides the functionality expected for logging. That said, it's challenging to find the specific messages needed.
What's my experience with pricing, setup cost, and licensing?
Pricing was a significant factor in choosing ChaosSearch, especially as an alternative to more expensive solutions like Elastic.
Which other solutions did I evaluate?
The company might have considered Elastic and OpenSearch, and the primary reason for switching was cost.
What other advice do I have?
I am not familiar enough with search solutions to compare ChaosSearch to others critically, but OpenSearch might be preferable due to its open-source nature and integration with AWS.
I'd rate the solution six out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Other
AWS S3 Index Lifecycle Management & Metric Evaluation with ChaosSearch Data Lake Platform
What do you like best about the product?
ChaosSearch platform facilitates a powerful analytics platform for indexing our Amazon S3 storage without any requirements for data movement. Since its a fully managed service, it's a secure, highly scalable and resilient log analytics platform. It effectively allows defining our discovery and query management through Elastic API or Kibana interface for Big Data analytics.
What do you dislike about the product?
It offers index views that have capabilities for data controls, column type transformation and end-user visualization options. We can set ranges through its index windows feature for limiting our analytics and for case-sensitive querying. There is nothing to dislike on ChaosSearch platform features for our log analytics, metrics evaluation and end-user visualization provisions.
What problems is the product solving and how is that benefiting you?
We select our object groups, refine index list requirements and specify visualization ranges to limit views using the ChaosSearch platform. Its Lifecycle management allows us to define the longevity of indexed data stored in our Amazon S3 buckets. Its Metrics Dashboard gives explicit visualization of various factors such as Total Indexes, Total Queries, Index events, etc which offers great visibility and convenience for our cloud platform insights.
Most Impactful Data Decision We've Made
What do you like best about the product?
CHAOSSEARCH has completely changed the way that we look at data within our organization. Previously we were trying to pull insights from disparate data sources and attempting to share those insights with members on our team - it wasn't working. CHAOSSEARCH brought sanity and organization to our data pipelines while also being cost effective. Any time I hear about a company struggling with data analysis or looking for a new solution I enthusiastically endorse CHAOSSEARCH - I couldn't be happier.
What do you dislike about the product?
Honestly, can't really think of much. I have been incredibly pleased with CHAOSSEARCH and grateful to be a customer.
What problems is the product solving and how is that benefiting you?
We are solving a retention problem that we had in terms of storing our data. As a result of using CHAOSSEARCH, we are now able to effectively store and query on logs from long time periods, increasing our operational efficiency.
Recommendations to others considering the product:
Lean on the support and implementation team members that they offer. Their experience and willingness to help goes above and beyond.
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