Early Detection AI to

Deep learning holistic-log-models : HLM custom trained to

Fully integrated visualisation & observability foundations for all your

Unified data pipelines for early detection & observability

Self-supervised early detection HLM

Logs are vital health indicators for your IT systems and applications. Every log infers something, even missing ones. Don't risk discarding mundane or unknown logs. Simply feed your logs through our holistic-log-models: HLMs for multi-modal drift detection and fault prediction.

FFWD embeds the full ensemble of log-features: rates, volume, sequences, structured data values, unstructured contents, missing and new contents, to auto-train self-supervised deep-learning BERT and cutting-edge ML algorithms.

Every IT system is different. HLMs are uniquely tailored and trained to the logs in your environments.

We also automate root-cause analysis by GPT based on symptoms and issues detected by HLMs.

Data-drift detection for your ML models

Logs are the most common data used in training structured-data ML models and production inferencing.

Data-drift is one of the most common reasons for model accuracy degradation.

Poor inferencing accuracy can be catastrophic to your business, and ML models need to be retrained or tuned to remain accurate.

FFWD HLMs auto-benchmarks your structured data characteristics, detects and analyses ongoing drifts on your production logs, and alert you when it is time to retrain your models.

High-performance, low-cost observability foundations fully integrated with Deep Learning HLMs.

Real-time log processing for AI demands very high-performance underlying data foundations.

We recognise that machine automation data is very different from business analytics data. Stop paying the high prices on systems built for business and marketing analytics.

Perform essential operational analytics, search, and transformations in real-time as event-data is processed through FFWD.

FFWD is purpose built for very high-speed, low-cost automation and machine-generated events data.

FFWD Analytics UI

Unified data collection, enrichment, transformation and pipelining to feed logs for deep-learning HLMs.

Data pipelining for AI projects is often messy part of the battle.

Real-time events collection and pipelining are often the problematic areas of analytics and monitoring projects.

We recognise these known challenges and have integrated convenient event data collection, parsing, transform and shipping functions.

FFWD-UC (Universal Collector) together with FFWD combines essential analytics and real-time pipelining into a single powerful end-to-end system.

Fully integrated world-class Search, Analytics and Monitoring

FFWD Fast Search

Fast Search and ad-hoc Analytics over high-volume data

Easily construct and perform complex queries in seconds, across billions of events. No prior syntax knowledge required.

Don't waste compute resources on background queries unknowingly. FFWD efficiently and progressively query across billions of events, without putting stress on the underlying compute resources.

User can pause/start a query to validate response, or to quit query once search results are found.

FFWD ML Anomaly Detection

Transformer AI and ML Anomaly Detection

It is not always possible to manually set alerting thresholds for datasets dependent on varying environmental conditions.

FFWD learns from your past data to make predictions on future incoming data within set confidence bounds. Monitor your data beyond basic thresholds to catch anomalies and outliers.

Our unique, scalable and efficient implementation makes Anomaly Detection monitoring possible across thousands of graph-panels with little impact on underlying compute resources.

FFWD log-to-metrics

Log-to-metric and Native metrics

FFWD contains a built-in Prometheus metric backend.

Send your native metrics to our Prometheus Remote-Write endpoint, or real-time transform heavy, raw log events into lightweight numeric and actionable metrics.

FFWD Scaleable Dashboards

Highly scalable dashboards

Configure your dashboard to suit the way you work.

Organize and maintain multiple pages of dashboards, visualise data and monitor across multiple graph panels.

Thousands of graphs maybe monitored and visualised at any instance.

FFWD Trend Correlation

ML powered trend comparison and correlation

During a disaster event, it is common for seemingly unrelated datasets to exhibit high-level of correlation.

FFWD empowers you to compare and correlate trends visually across multiple datasets, and suggest potential correlated events to help in troubleshooting.

FFWD Alerts and Notifications

Alerts and notifications

You can trigger an alert from a single log event; Set a threshold alert over a graph panel; Or be notified when ML Anomaly Detection catches an outlier event.

Easily attach log or metric thresholds, and anomaly alerts, receive notifications on email, slack or webhook, and download your full record of alert histories.

Convenient Pipelining, Collection, Enrichment, Transform & Forwarding

FFWD No-Syntax Log Parsing

No-Syntax Log Parsing and Routing

Mistakes are often made when setting up regex parsers, simply because it is technically difficult.

Our unique web-UI managed parsing method eliminates the complexity and difficulty in working with regex parsing.

In addition, FFWD-UC enables integrated parse-and-route action in a single easy workflow, making it possible to route logs to different destinations based on content format.

FFWD Central Configuration and Orchestration

Central Configuration and Orchestration

Centrally managed pipeline configuration, deployment and collection functions.

With FFWD-UC you can easily manage configurations and monitor the health of thousands of event collectors spread across hundreds of sites in real-time.

Remote deployment is done via Kubernetes or Docker.

FFWD Ready-to-go Connectors

Ready-to-go Connectors

FFWD-UC is equipped with built-in connectors to receive events from many popular event sources.

Raw events and logs can be instantly collected with convenience.

FFWD is also equipped with a range of popular data destination connectors so you can conveniently forward data in real-time to your desired destinations such as Object Storage and Splunk.

FFWD Events Transformation

Events Transformation

You can now easily perform filtering, enrichment, field masking, field insertion, field rename, field removal and deduplication tasks via our unique web-UI.

Transformation configurations are centrally managed and effective in real-time.

FFWD Lightweight Pipeline

Millions-events-per-second lightweight Pipeline

FFWD event collection, routing, forwarding and transformation is built on multi-threaded high-performance, while consuming as little compute resources as possible.

FFWD-UC is designed to run on constraint compute sites with only a few MB RAM to spare!

Get Started Instantly

Contact us about FFWD SAAS

Deploy on-premises

Contact us about FFWD Private Cluster

by

Contact Us

info@core0.io or one of our partners BBSakur Forgevision