Product Listings
The Gigamon Deep Observability Pipeline delivers network-derived telemetry from all data in motion across hybrid cloud infrastructure to cloud, security, and observability tools. It extracts and enriches intelligence from packets, flows, and application metadata to improve visibility across data center, virtualized infrastructure, public cloud, and container environments. When combined with metric, event, log, and trace data generated by these tools, the Gigamon Deep Observability Pipeline helps organizations detect threats concealed in encrypted and lateral network traffic, resolve network and application performance issues, validate compliance efforts, and reduce operational complexity. This enables security and IT teams to gain more value from their existing analytics and monitoring investments.
VirtualMetric DataStream is a security data pipeline platform designed to help organizations control telemetry volume, cost, and quality before logs reach their SIEM. It automatically filters noise, normalizes and enriches logs, and routes telemetry to appropriate destinations, delivering consistent, high-fidelity data for analysts and AI-driven detection.
DataStream supports a hybrid agentless-first collection model with optional lightweight agents. It applies risk-free data reduction to remove unnecessary fields and logs while preserving detection-relevant content. The platform converts logs into standardized security data structures and detects schema changes to maintain pipeline stability.
DataStream uses a vectorized pipeline engine to process large data volumes with low latency and up to 99% compression. It includes clustered deployments for high availability, a write-ahead log architecture to prevent data loss, and role-based access control for secure configuration management.
Apica Flow is a software designed to automate and manage API performance testing and monitoring. It enables users to create, execute, and schedule tests for web applications and APIs by simulating user interactions and measuring system responses. The software supports identification of performance bottlenecks, ensuring robust application uptime and reliability. With features such as scenario-based testing, analytics, integrations with CI/CD pipelines, and real-time reporting, Apica Flow addresses business challenges related to maintaining high application performance, scalability, and reliability in rapidly evolving digital environments.
Axiom is a software that provides automated workflow capabilities for browser-based applications, allowing users to create, schedule, and run automation tasks without the need for coding skills. The software enables data extraction, form submissions, repetitive task automation, and integration with popular tools and databases. It is designed to help businesses optimize operational efficiency by reducing manual work and minimizing human error in frequent web-based processes. Axiom supports task scheduling, cloud-based execution, and offers features such as data export and compatibility with various web platforms. The software aims to address the need for streamlining repetitive actions and enhancing productivity in digital workflows.
Axoflow is a software designed for observability and monitoring of cloud-native architectures, including microservices and containerized environments. It enables real-time processing and analysis of telemetry data such as logs, metrics, and traces, facilitating enhanced visibility across distributed systems. The software supports integrations with commonly used observability tools and platforms, allowing organizations to collect, transform, and route high-volume telemetry data efficiently. Axoflow aims to address the challenges of managing complex, scalable infrastructure by streamlining the collection and analysis of operational data, helping organizations improve reliability, performance, and troubleshooting capabilities within their technology landscape.
BindPlane OP is an observability software designed to manage and monitor telemetry pipelines for enterprises. The software enables users to collect, process, and route logs, metrics, and traces from diverse IT environments, including cloud and on-premises infrastructure. BindPlane OP offers features for centralized configuration of data sources, transformation of telemetry data, and integration with key observability platforms. It addresses the challenge of simplifying telemetry data management by providing a scalable and unified interface for deploying and maintaining open source agents and collectors. The software aims to help organizations improve visibility into their systems, streamline operational workflows, and optimize performance monitoring across distributed infrastructures.
Cardinal Lakerunner is a software designed to assist organizations in managing and orchestrating modern data pipelines across various environments. The software automates the deployment and scheduling of data ingestion, transformation, and processing workflows, supporting the integration of multiple data sources and tools. It helps address the challenge of efficiently handling large-scale and distributed data operations by providing monitoring, logging, and error handling features. Lakerunner aims to streamline the development and maintenance of data workflows, enabling teams to ensure data reliability, reduce manual intervention, and maintain scalable enterprise data infrastructure.
CeTu is a software designed to facilitate the annotation and labeling of datasets for machine learning and artificial intelligence applications. The software enables users to upload, manage, and process large volumes of data, including text, images, audio, and video. CeTu provides tools for assigning labels, reviewing annotations, and tracking the progress of labeling tasks. It supports customizable workflows to accommodate different project requirements and integrates with external data storage and project management systems. CeTu addresses the need for efficient data preparation in machine learning pipelines by streamlining the data annotation process and enabling collaboration among team members.
Chronosphere Platform is a software solution designed for monitoring and observability of cloud-native environments. The software enables organizations to collect, store, and analyze metrics from distributed systems and applications. Chronosphere Platform provides features such as scalable data ingestion, real-time querying, visualization capabilities, and alert management. The software assists in identifying performance bottlenecks, tracking system health, and optimizing resource usage within cloud infrastructure. By integrating with various cloud platforms and developer tools, the software supports teams in managing large volumes of telemetry data and improving incident response. The solution addresses challenges in operating and maintaining reliable cloud-native systems by facilitating efficient monitoring and troubleshooting workflows.
Chronosphere Telemetry Pipeline is a software designed to manage and optimize observability data for cloud-native environments. It enables organizations to ingest, transform, and route telemetry data such as metrics, traces, and logs from various sources to preferred destinations. The software provides capabilities for filtering, enrichment, aggregation, and transformation of data to help control data volume and ensure data relevance. Chronosphere Telemetry Pipeline assists in streamlining observability workflows by allowing businesses to efficiently manage and reduce costs associated with data storage and processing while maintaining access to actionable insights for monitoring, troubleshooting, and improving application performance.
Cisco Observability Platform is a software designed to provide visibility across IT environments by aggregating and analyzing telemetry data from multiple sources such as applications, infrastructure, networks, and security systems. The software supports integration with cloud and on-premises technologies and leverages analytics to detect anomalies, monitor performance, and deliver actionable insights that aid in identifying and resolving operational issues. It offers customizable dashboards, automated alerting, and reporting features to help address the complexity of modern distributed systems and helps organizations maintain reliability, performance, and security of their digital services by offering end-to-end observability across hybrid and multi-cloud ecosystems.
Cribl Stream is a software that enables organizations to manage and route machine data from a variety of sources to different destinations. The software allows users to optimize, transform, filter, and enrich event data in real time, which helps reduce operational costs and improve data quality for analytics, security, and monitoring systems. By providing capabilities to parse, aggregate, redact, and compress logs, metrics, and other telemetry, Cribl Stream addresses the challenge of handling large volumes of data, facilitating more efficient integration with observability and data storage platforms. The software supports customization and automation of data pipelines, assisting businesses in retaining control and flexibility over their data infrastructure.
CubeAPM is a software designed for application performance monitoring and management. The software enables organizations to detect, diagnose, and analyze the performance and availability of applications in real time. It collects performance data, identifies transaction bottlenecks, and provides actionable insights for troubleshooting issues. CubeAPM offers visualization tools for tracking metrics related to application health, response times, and resource usage. It supports distributed tracing and logging, helping users to monitor complex application architectures. The software aims to address challenges associated with maintaining consistent application performance and minimizing downtime in modern digital environments.
DataBahn is a software that supports organizations in gathering, organizing, and analyzing business intelligence to inform strategic decision-making. The software provides access to detailed company profiles, organizational charts, and executive contact information. DataBahn is designed to help sales, marketing, and account management teams identify prospects, understand organizational structures, and navigate complex enterprise environments. The software enables users to locate relevant decision-makers and obtain insights into company operations, assisting in efforts to improve targeting and engagement strategies. By offering structured data and analytical tools, DataBahn aims to address challenges related to prospect research, account planning, and outreach coordination within business development activities.
Datadog is a software that offers monitoring and analytics capabilities for cloud-scale applications. The software collects metrics, traces, logs, and events from various sources and provides dashboards, alerts, and visualization tools to help users track the performance and health of systems and services. Datadog integrates with cloud infrastructure, containers, databases, and applications, enabling users to correlate data across their technology stack. The software addresses challenges related to dynamic, distributed environments by providing observability and insights that support incident detection, troubleshooting, and optimization of resources and applications. It is designed to facilitate collaboration between development, operations, and security teams in managing application reliability and system performance.
Edge Delta is a software solution that provides automated observability and analytics for operational data such as logs, metrics, and traces. By deploying agents at the edge, the software enables real-time data collection, processing, and anomaly detection directly at the source, reducing latency and minimizing the need to store or transfer large volumes of raw data to a central location. Edge Delta supports integrations with existing monitoring and incident management tools, facilitating faster troubleshooting and promoting efficient root cause analysis. The software is designed to help organizations optimize infrastructure performance, maintain system reliability, and achieve greater visibility into distributed and cloud-native environments by analyzing telemetry data at scale.
Fabrix.ai Platform enables observability, automation and analytics for IT operations by unifying data from diverse sources across hybrid and multi-cloud environments. The platform ingests and correlates structured and unstructured data to provide contextual insights for root cause analysis and incident remediation. It features capabilities such as event management, intelligent automation, predictive analytics, and low-code data integration, aiming to reduce manual operational tasks and accelerate decision-making. The platform addresses challenges related to IT complexity by helping organizations manage, analyze and act on operational data for improved performance and reliability of digital services.
Grepr is a software that enables enterprises to organize, search, and analyze internal knowledge and documentation by leveraging artificial intelligence. The software integrates with multiple data sources within an organization, allowing users to input queries in natural language to locate information across documents, files, wikis, and internal databases. Grepr focuses on improving information retrieval and cross-referencing by providing automated indexing and contextual search functionalities. The software addresses the business problem of knowledge fragmentation within organizations and aims to reduce time spent searching for information, thereby supporting more efficient collaboration and informed decision-making.
Gurucul Data Optimizer is a software designed to streamline and manage large volumes of security and operational data for organizations. The software automatically identifies data that is redundant, obsolete, or trivial and helps reduce the storage and processing of unnecessary information. It enables more effective use of existing data by improving data quality and optimizing storage resources, which supports compliance and operational efficiency. Gurucul Data Optimizer works by analyzing various data sources, categorizing sensitive and relevant information, and providing actionable insights for data governance. This software addresses challenges associated with data sprawl and high storage costs by facilitating data minimization and effective lifecycle management.
Honeycomb is a software designed for observability and analysis of complex systems. It provides tools for real-time event-based data collection, enabling users to visualize and explore system behavior across distributed environments. The software helps teams monitor application performance, identify bottlenecks, and troubleshoot issues by aggregating telemetry data such as logs and traces. Honeycomb offers querying capabilities to surface patterns and anomalies, allowing users to drill down into high-cardinality datasets. The software supports integration with various platforms and cloud environments, making it suitable for organizations seeking to improve reliability and maintainability of their applications by gaining deeper insight into production systems.