ChaosSearch Enhances Log Analytics for Operational Investigation, Visualization, Alerting at Scale
New features eliminate architectural complexity challenges associated with existing cloud data platforms to deliver operational intelligence for cloud services monitoring, threat hunting, and troubleshooting.
Note: TDWI’s editors carefully choose vendor-issued press releases about new or upgraded products and services. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the vendor's statements.
ChaosSearch has enhanced its log analytics capabilities to make it easier for organizations to conduct exploratory and investigative analytics at scale. Built within the ChaosSearch Cloud Data Platform, the augmented capabilities eliminate the architectural complexity and challenges created by traditional data platforms and dramatically improve time to insights, data reliability, and cost.
The amount and variety of data being generated by businesses has grown exponentially in the last few years. Although this should create unbounded opportunities for companies, the data lakes, warehouses, and lakehouses they currently rely on are not built for scale. With these platforms’ outdated infrastructures, organizations are only able to access and analyze a limited amount of data—making explorative and investigative analytics extremely challenging, expensive, and laborious to complete. In fact, the 2022 Data Delivery and Consumption Patterns Survey found that data quality and timeliness are the most pressing issues cited by respondents, with 65 percent reporting that these issues have increased over the past three years.
To solve these challenges, ChaosSearch is delivering augmented log analytics capabilities that will eliminate the tradeoffs between data retention, performance, reliability, flexibility, and cost that organizations are forced to make today. Platform feature enhancements include:
- Exact and wildcard match optimizes search/queries for maximum performance by allowing for the selection of segments a search/query needs to resolve a request during the scope of a query plan; users can find answers faster.
- Privacy field masking delivers enhanced flexibility for customers, allowing them to hide sensitive contents of Object Groups columns on-demand, and ensuring data privacy and compliance needs are met.
- Incremental load for Kibana Discover accelerates time to insight by improving data representation and shortening the time it takes for users to display query results from the ChaosSearch platform in Kibana Discover views.
“If you’re using any of the existing database platforms today, there is simply no way you’re looking at more than one day’s worth of data at a time without an astronomical price tag,” said Thomas Hazel, founder, CTO, chief scientist, ChaosSearch. “We know how important investigative insights are to businesses, especially when handling time-sensitive issues such as threats and system outages. Our platform makes it possible to execute on those types of searches across billions of data points in a matter of seconds. Getting deeper, wider log data storage, access, and analysis is becoming the difference maker for businesses, and our customers will be leading the charge.”
To learn more and experience the new capabilities, visit www.chaossearch.io/demo.