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4 Different Ways to Ingest Data in AWS OpenSearch

Blog post from Coralogix

Post Details
Company
Date Published
Author
Coralogix Team
Word Count
1,625
Company Posts That Month
9
Language
English
Hacker News Points
-
Post removed?
No
Summary

AWS OpenSearch, a project derived from Elastic's Elasticsearch and Kibana, is an open-source alternative developed by Amazon that integrates with various AWS services for data ingestion. It supports storing and analyzing observability data, such as logs, metrics, and traces, and offers multiple ingestion methods, including AWS Kinesis Firehose, AWS CloudWatch, LogStash, AWS Lambda, and AWS IoT. Each method has its own advantages and challenges, with choices depending on specific use cases and existing infrastructure. While OpenSearch can enhance DevOps teams' ability to troubleshoot and perform log analysis, implementing machine learning for log analytics can be resource-intensive. For those seeking a quicker setup without extensive engineering effort, platforms like Coralogix offer advanced capabilities in log analysis and alerting within the AWS ecosystem.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Serverless 14 725 132 53 -2%
Observability 12 954 176 57 +31%
Real-time 5 1,102 330 114 -6%
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