The new Model-Driven Telemetry (MDT) Collection Agent plugin lets Geneos subscribe to MDT streams from compatible network and infrastructure devices, so you can monitor high-frequency, model-defined metrics without relying solely on periodic polling.
Bring that telemetry into Geneos alongside your existing views to spot problems sooner and respond through a single monitoring platform.
Bring Google Cloud cost and usage data into Geneos with the new Google Cloud BigQuery collector, part of the Google Cloud Platform Collection Agent plugin. Combining cost and usage data, infrastructure metrics, and application metrics gives a clearer picture of Google Cloud consumption.
The collector includes a ready-made configuration that helps you turn BigQuery data into Geneos dataviews without starting from scratch.
That BigQuery foundation means you are not limited to billing: you can map additional BigQuery datasets you care about into Geneos, alongside cost and usage.
The new Prometheus Query Netprobe plugin enables you to bring selected Prometheus metrics into Geneos without requiring Geneos to scrape source systems directly. This lightweight solution eliminates the need for external collectors or additional scraping infrastructure.
Built to leverage your existing Prometheus telemetry collection, the plugin executes PromQL queries and converts the results into Geneos dataviews. This makes it easy to incorporate Prometheus metrics into your unified monitoring view.
Collect and monitor data from any HTTP endpoint that returns JSON with the new HTTP-JSON Collection Agent plugin. This powerful plugin enables you to integrate custom APIs, web services, and JSON-based data sources directly into your Geneos monitoring infrastructure.
Transform JSON responses into meaningful metrics using JQ programs, with support for authentication methods including Bearer tokens and Basic authentication. The plugin supports a comprehensive range of unit measurements, from storage sizes and network throughput to duration, temperature, and currency, ensuring accurate metric representation across diverse monitoring scenarios.
Simplify your monitoring setup by connecting to REST APIs and JSON endpoints without custom scripting, enabling rapid integration of new data sources into your existing Geneos monitoring environment.
Gain comprehensive visibility into your cloud spending with enhanced cost and usage monitoring for AWS and Azure environments. Track and analyze your cloud costs directly within Geneos to optimize spending and identify cost-saving opportunities.
The AWS Collection Agent plugin uses its AWS Billing collector with the AWS Cost Explorer API to deliver detailed cost breakdowns, including amortized, blended, and unblended costs, with improved configuration options for granular analysis. The Azure Monitor Collection Agent plugin uses its Azure Cost Collector with the Azure Cost Management API to enable daily cost monitoring. This includes grouping and filtering by dimensions and tags, as well as budget monitoring to track spending against forecasted costs and receive alerts on threshold breaches.
Monitor your cloud costs alongside your infrastructure metrics in a single platform, making it easier to correlate spending with resource utilization and make informed decisions about cloud resource optimization.
Geneos introduces infrastructure-as-code (IaC) support for automated Netprobe deployment across major cloud providers.
Deploy Self-Announcing (SAN) probes on any cloud virtual machine using native integration with Terraform, AWS CloudFormation, or Azure Resource Manager. This enables implementation of modern, scalable monitoring infrastructure that aligns with cloud-native best practices.
Achieve full observability of Airflow environments with monitoring for DAG status, task failures, execution times, and resource utilization to ensure pipeline reliability and optimize execution performance.
AWS Redshift (Cluster & Serverless)Optimize data warehouse performance by tracking query execution, WLM queues, disk usage, CPU metrics, and cluster availability, with instant alerts for slow queries and storage issues.
Amazon BedrockMonitor Bedrock agents and model invocations with real-time insights into token usage, cost metrics, request latencies, and service behavior to ensure fast issue resolution.
Azure Data FactoryGain real-time visibility into ETL/ELT pipelines by monitoring pipeline runs, activity performance, and failure rates to rapidly address data integration problems.
Azure Synapse AnalyticsMaintain high-performance analytics by tracking dedicated SQL pool health, Spark job execution, and orchestration pipelines across large-scale data environments.
Google Cloud Vertex AIObserve model training, infrastructure usage, endpoint availability, and prediction latencies to ensure consistent AI workload performance and reliability.
Geneos now includes data storage and analytics capabilities that provide intelligence to deliver end-to-end observability across an enterprise. Alongside the Gateways, ITRS Analytics is now a core part of Geneos.
With ITRS Analytics apps, you can enjoy better anomaly detection, noise reduction for large-scale monitoring, and deeper root cause analysis through a user-friendly, web-based interface.
The connection with Gateways, for example, allows running commands directly on entities and metrics within the ITRS Analytics Entity Viewer app, ensuring seamless access and instant history.
Enhanced monitoring of MarketsIO entities is now possible with the new MarketsIO Collection Agent plugin.
This plugin reads data directly from shared memory and simplifies data monitoring through the MarketsIO-EventStream collector, providing a pre-identified set of data to get you started.
