SigmaX Chronicle (Loghub)
Revolutionizing Log Data Management
from Edge to Enterprise
Schedule a DemoAt a Glance:
20x Speed Improvement: Near real-time analysis capabilities for log data.
End-to-End Secure Log Data Handling: FIPS 140-2 + TLS for comprehensive security.
Edge Query Enablement: Unique capability for secure edge queries on log data.
Scalable Stream Processing: Handles millions of concurrent log data streams with embedded functions.
Enterprises are Drowning in Redundant Data
Despite the vast amounts of data generated by enterprises, only 10% of this data is unique. The remaining 90% consists of redundant copies, which consume valuable resources and slow down critical operations. Log data, which constitutes over 50% of data center workloads, is often duplicated, leading to inefficiencies and increased costs.
Our Solution
Chronicle (Loghub) by SigmaX is designed specifically to manage and optimize log data. By leveraging a unique software-in-silicon approach, Chronicle eliminates redundant data copies, offloads infrastructure tasks, and accelerates data processing. This solution separates IT operations, security, and observability, cutting costs by 50% and enhancing log data processing speeds by at least 20x, all while improving enterprise security.
Silicon-Ready Software
Chronicle is silicon-ready and optimized to work with the F2070X from Napatech, creating a powerful server-in-server solution. This collaboration ensures Chronicle leverages advanced hardware to offload infrastructure tasks while managing and optimizing log data efficiently.
Simple Installation
The Chronicle software appliance installs in one or more servers in your data center. All you need to do is provide it an IP address. It uses significantly less power, operating at only 150 watts compared to the 2800 watts typically required by traditional servers.
Transparent Infrastructure Task Redirection:
Boost security and eliminate redundant log data copies to accelerate time-to-revenue.
Strategic Advantage: By eliminating redundant log data copies, we enhance data handling efficiency and reduce complexity.
Operational Value: This improves overall system performance, freeing up resources and speeding up your critical operations.
Financial Impact: You save on IT infrastructure and operational costs by reducing redundant data storage and processing.
Purpose-Built
Server-in-Server Data Appliance:
Offload log data network traffic and compute tasks from traditional servers to enhance performance.
Strategic Advantage: Our specialized solution integrates seamlessly into your existing infrastructure, providing high-performance capabilities.
Operational Value: This offloads intensive tasks from your traditional servers, leading to improved system responsiveness and uptime.
Financial Impact: You cut down on hardware and maintenance costs, optimizing your existing resources for better returns.
High-Value
Log Data Scalability:
Efficiently manage and scale valuable log data without unnecessary copies.
Strategic Advantage: Our solution supports scalable data management, adapting to your growing needs without compromising performance.
Operational Value: By processing only valuable log data, we reduce clutter and enhance data relevance, improving efficiency.
Financial Impact: This optimizes resource allocation, reducing costs associated with unnecessary data storage and maximizing your ROI.
Embedded Security:
FIPS 140-2 and TLS ensure end-to-end secure handling of log data.
Strategic Advantage: We provide robust security measures that meet industry standards, enhancing trust and compliance.
Operational Value: This protects your sensitive data from breaches, ensuring data integrity and operational stability.
Financial Impact: You minimize potential financial losses from data breaches and compliance penalties, saving on security implementation costs.
Edge Query Enablement:
Securely perform queries on log data at the edge, enhancing accessibility and usability.
Strategic Advantage: With real-time data analysis at the edge, you improve decision-making speed and accuracy.
Operational Value: This provides immediate access to critical log data insights, enhancing your operational agility.
Financial Impact: You lower network costs by reducing the need to transfer large data sets, enhancing productivity and operational efficiency.
Ready to try Chronicle in your environment?
Book a Demo
Optimized for Peak Performance
SigmaX Chronicle was developed alongside Intel/Altera during the design phase to ensure it is tuned specifically to optimize the performance of the IPU. This collaboration guarantees that LogHub leverages advanced hardware capabilities to deliver unmatched efficiency in managing and processing log data.
Modernizing Log Data Formats:
Offloading Log Data Infrastructure Tasks:
Accelerating Log Data Processing:
Enabling Secure, Scalable Log Data Management:
AI/ML for Edge and Datacenter
Chronicle seamlessly integrates with AI/ML workflows, enhancing data processing both at the edge and within data centers. By leveraging Nexus (RapidStreams), Chronicle offers:
Richer Choice of AI Models:
Supports a wide range of AI models, including neural networks and monolithic models like LSI. Both CPU-bound (scikit-learn) and accelerated (myrtle.ai) models are supported.
High-Velocity Analytics:
Packs data into Python data frames directly at the point of ingest, enabling rapid testing and deployment of AI/ML models.
Local and Global Analytics:
Supports local in-memory analytics at data ingest points and global multi-variable/multi-stream analytics in a publish/subscribe model.
Streamlined Data Engineering:
Simplifies data engineering tasks, making it easy to expose multiple AI/ML model delivery points and unlock new business insights.
Frequently asked questions
Find answers to common questions about SigmaX Chronicle
What drives demand for Operations and Log Data?
Log data is crucial for various groups within an enterprise, including:
- IT Operations: Manages workloads, maintains uptime, and ensures business continuity.
- DevOps: Oversees CI/CD processes, application uptime, and performance optimization.
- DevSecOps: Integrates security with application development, identifying potential issues before deployment.
- Security Operations: Detects and investigates security incidents, suspicious activities, and traffic spikes.
- IT Analysts: Manages compliance, operational expenses, and capital expenses reporting.
How does Chronicle accelerate analytic tools like Splunk and Elastic?
Chronicle enhances analytic tools by:
- Reducing Data Volume: Minimizes the amount of log data sent to Splunk and Elastic, reducing network load and storage requirements.
- Improving Data Velocity: Increases the speed of data processing and reduces latency, providing faster insights.
- Lowering Costs: Cuts down on licensing costs by decreasing the volume of data processed and stored.
- Enhancing Security: Spreads data across the network, reducing single points of failure and enhancing data security.
- Supporting AI/ML Integration: Facilitates AI/ML analytics at the edge and in the datacenter, enabling advanced data insights.
Featured Resources
Pulsar vs Kafka: The Future of Data Streaming in Enterprise Systems
When it comes to handling big data, particularly within enterprise applications, the debate often comes down to Apache Pulsar and Apache Kafka. Both systems serve as a backbone for messaging and stream processing, but the
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Talk with our experienced team to bring unmatched efficiency and performance to your modern data center and data management processes.