Near Real-time Log Analytics

Create a cloud-native log analytics solution

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Challenges

High cost: expensive volume-based pricing model, not for historical data or long-term data storage
Slow time-to-analytics: hire and train highly-skilled technical resources to implement and maintain a complex technology stack
Lack of cloud-nativeness: insufficient scalability and elasticity requires excessive maintenance and IT overhead
Vendor lock-in: unable to easily choose or change preferred tools to work with and lack of SQL processing capabilities
Preparatory data format: processing is limited to vendor specific offerings, sharing data with other services is nearly impossible

Solutions

Cost reduction by minimizing log data across batch and streaming by storing long-term data on Amazon S3, filtering, aggregating and transforming data before being indexing without any adding developers
Fast time-to-analytics by using a visual, SQL based interface directly stream data from cloud sources without complex architectures or hiring additional staff
Seamless integration with other cloud services to iterate quickly when adding new features and capabilities to achieve continuous delivery
Open Cloud Lakehouse engine provides users with a centralized cost-effective storage with access to any processing engines
Centralized cloud object storage supports any file format that allows sharing with any non-vendor specific services

Leveraging Upsolver

Reduce cost with Cloud object storage

Stream and transform tens of thousands of events per second on cloud in real-time. Only load hot data to log analytics applications to minimize cost. Use Cloud object storage to store the entire log history and replay data as needed.

Accelerate time-to-analytics with a visual, SQL-based interface

Plug-n-play solution that utilizes a visual, SQL-based interface to get up and running within hours without having to hire additional developers. Onboarding new and complex data structures, parse schema on read at the push of a button.

Integrate with any analytics solutions

Could-native open lakehouse engine integrates and scales seamlessly with any log analytics, SQL or Machine Learning solutions.

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