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Geneos Product Catalogue
Introduction Copied
Business critical services are enabled by an increasingly complex and interconnected IT estate. The health of the business is dependent on the health of the devices, the infrastructure, the connectivity, the applications, and the data flows that serve it. ITRS Geneos offers valuable insights into the operational efficiency of the technologies that drive businesses and organizations. This monitoring occurs in real-time, covering end-to-end processes.
At its core, the ITRS Geneos product range relies on a three-tiered architecture, designed to efficiently collect, process, and visualize data. This process begins with the data collection tier, which comprises of the Netprobe, Collection Agent, and specialized plugins. These components work together to capture diverse data points, including server metrics, process details, container information, logs, and metadata.
The collected data is then sent to the data processing tier which is composed of Gateway, Obcerv, and Gateway Hub for further analysis, using algorithms like filtering and aggregation. The resulting insights can be visualized through customizable dashboards, making complex information readily understandable. Geneos can be deployed in a variety of ways to meet your specific business needs:
- Standard on-premises deployment on Linux and Windows machines
- Deployment on the Amazon Web Services (AWS) Cloud
- Deployment on Microsoft Azure
- Containerized deployment using Docker technology
Geneos Framework Copied
The Geneos product range is based on a three-tiered architecture that collects, processes, and visualizes data. The Geneos architecture is composed of different components, as shown in the diagram below.
Data Collection Copied
The data collection tier of the Geneos architecture is composed of the Netprobe, Collection Agent, and plugins. These components collect data such as metrics (server, process, containers), logs, and metadata. Netprobe and Collection Agent use plugins depending on the technology you want to monitor. Both can be run together to complement each other, or they can be run as standalone applications.
Netprobe Copied
A monitoring agent deployed on all the nodes you want to manage. It extracts data and metrics and sends them to a connected Gateway. Netprobes can execute control-type functions (view logs, list processes, restart applications) upon receiving commands from Gateways. See Introduction to Netprobe for more information.
Collection Agent Copied
The main difference between a Collection Agent and a Netprobe is that the Collection Agent uses dynamic plugins. Dynamic plugins can collect dimensional data and discover what is available to monitor. These collected data can be sent to Gateway, Obcerv, or Gateway Hub. For more information on Collection Agent, see Introduction to Collection Agent.
Plugins Copied
Plugins provide specific management and monitoring capabilities. They are run locally by the Netprobe or Collection Agent to collect data. With its wide range of plugins, Geneos can monitor and integrate with different technologies. To see the plugins supported by the Netprobe, see the Plugins and integrations page.
Data Processing Copied
The data processing tier of the Geneos architecture is composed of Gateway, Obcerv, and Gateway Hub. These components bring all the information together allowing data filtering based on rules, parameters, and thresholds for observability and data analysis. Similar to the data collection components, these components can be used together or as standalone processes. For more information, see Gateway Introduction.
Gateway Copied
The hub of a Geneos installation, it coordinates the distribution of data between Netprobes (which collect data) and visualizsation tools (which provide a single view of your technology performance). Gateway stores configuration data for all its Netprobes and distributes specific configuration data to each Netprobe. It provides a scalable, distributed architecture with a powerful rule and alert engine that applies the business logic. Other key features include:
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Rule and Alert Engine — Allows real-time information to be updated and actions to be fired in response to specific Gateway events. A flexible and highly configurable interface to define your business logic.
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Compute Engine — Real-time component that provides the ability to derive new metrics, including statistical calculations such as moving average, minimum, maximum values for the day.
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Anomaly Detection Rules — Determine what normality looks like which allows you to create rules to raise alerts when an anomaly is detected. Time series allow these rules to be adaptive based on prior knowledge of the daily or weekly variations in the data the time series is applied to.
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Commands and Scheduled Commands — Interact with your monitoring environment via a highly configurable interface. Automate routine tasks or build custom commands to interact with servers and applications.
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Dynamic Entities — Greatly reduce the configuration burden and automate monitoring by dynamically creating and organising Geneos data structures like entities and attributes. This is especially useful in an orchestrated environment, such as Kubernetes, where applications and instances can be created and removed dynamically.
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Historical data — Ability to store metrics and events within the Geneos Framework (stored in Gateway Hub or relational databases) for historical analysis.
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Gateway Hot Standby — Provides enterprise resilience by running a secondary Gateway alongside the primary Gateway.
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Authentication — Define users and roles with fine-grained control over data, configuration, and commands.
Gateway Hub Framework and API Copied
Gateway Hub Framework and its Open API are part of Geneos framework, providing better performance and significantly easier administration of Geneos at scale. See Gateway Hub for more information.
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Support for much larger and cloud estates — The architecture of Gateway Hub sets the scene for monitoring at significantly larger scale and is built from the ground up to support more elastic and cloud-based environments. Its clustered architecture also provides greater resilience than before.
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Open APIs — Gateway Hub is designed for interoperability and is driven entirely through APIs for easy integration with other applications. Data can also be published to an external Kafka instance providing full access to Geneos data.
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Centralised Configuration — The amount of monitoring in a typical estate has dramatically increased over the last few years and so has the administrative burden. Gateway Hub alleviates this issue by providing the tools and infrastructure for administering centrally. As well as making it quicker and simpler to manage Geneos at scale, centralised configuration allows policies and best practices to be encouraged or enforced at enterprise scale.
Data Visualization Copied
The visualization tier of the Geneos architecture is composed of Active Console, Web Dashboard, and Webslinger. These components present high-level (via dashboards and graphs) and low-level (via tables and rows) real-time monitoring. It also allows control functionality, such as viewing alerts, executing commands, and running rules.
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Active Console — Active Console is a standalone Java and C++ application which allows you to connect to and view the contents of Geneos Gateways. It provides high-level views of the current status of the monitored infrastructure, the ability to quickly drill-down to detailed data – zeroing in on leading performance indicators and other underlying data contained in multiple locations and application services – and easy access in a single application to command-and-control capabilities to deal with alerts and carry out routine system management tasks across complex and diverse environments. Taking advantage of finely grained permissioning, users can easily and directly access and control multiple system elements.
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Web Console — Part of the Gateway Hub framework, the Web Console is a modern, attractive UI designed to support much larger estates than Active Console. It also provides simpler ways of creating dashboards and data visualisation and does not require additional packages to install or keep updated.
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Active Dashboard — A component of Active Console, it provides a customisable graphical view of the managed environment. User configured objects laid out in a diagrammatic way can represent real applications and systems. The graphical objects change colour in real-time to reflect the actual status of the managed applications and systems.
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Web Dashboard — Host your designed Active Dashboards on the Geneos Web Server (Web Dashboard) so that anyone in your enterprise can access them. Once designed in the Active Console, Active Dashboards are exported and uploaded to the Web Server where they can be arranged by business units and placed into slide shows.
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Web Slinger — Provides the Gateway output in a view-only HTML format. It allows users and managers to view the status of their environment in near real-time via any HTML compatible device.
Baseline Plugins Copied
These plugins allow you to comprehensively monitor and analyze various aspects of your system’s performance, infrastructure information such as disk status, CPU utilization, process IDs, and network send/receive rates.
| Plugin | Description |
|---|---|
| CPU | Allows monitoring of multiple CPU metrics, including state, clock speed, utilization percentage, user time percentage, kernel time percentage, idle percentage, and load average. |
| Desktop PC Monitoring | Shows key metrics about the desktop PC including the logged in user, the manufacturer, model, version. |
| Device I/O (Linux and Unix) | Shows the read/write rate as well as average queue length and CPU utilization of devices attached to the host. |
| Disk | Monitors disk partition usage and provides information on disk status, size, and availability. |
| File Keyword Monitoring (FKM) | Scans log file updates in real-time and matches against a set of predefined keywords. This plugin also allows you to:
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| File Transfer Monitoring (FTM) | Scans a directory to verify that a file is present at an expected time or interval. |
| Hardware | Monitors operating system and hardware resource settings such as CPU utilization, swap, paging, time synchronization |
| IPC (UNIX) | Provides an in-depth status view of all shared memory segments that are currently active on the UNIX system. |
| Network | Displays network interface information including send/receive rates, error rates, collision rates, connection state and duplex state. |
| OP5 Monitor | Displays information about the overall status of the monitored hosts and services of the OP5 Monitor product. |
| Processes | Displays process status, instance count, memory utilization, CPU utilization, process ID, start time, and additional details. |
| Publisher | Enables publishing of data from an FKM outbound stream to an index on any of the following:
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| TCP Links | TCP connection monitoring includes status and local and remote hosts/ports. |
| Top | Shows details of the most CPU-intensive tasks on the system being monitored. |
| Unix Users | Shows the details of users, including their activities, on the host system. |
| Uptrends | Displays information about the Monitors or Monitor group and RUM Websites configured in the Uptrends application. |
| Win Services | Displays information about all services on the machine, only services named in the configuration, or services that match a regular expression in the configuration. |
| Win Apps | Shows windows application information including application name, status, process ID and the full path of executables. |
| WTS (Windows Terminal Services) | Monitors Windows Terminal Service processes, sessions, and license usage. |
| X-Set Network Monitoring |
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Development Toolkit Copied
These set of plugins allow you to monitor and manage a diverse range of components within your system, from monitoring JMX-enabled applications and analyzing message activity to integrating custom scripts, evaluating database queries, and handling real-time log file scanning. Additionally, these plugins enable the collection and monitoring of third-party information through APIs and provide tools for extracting specific data from HTML, SNMP MIBs, and traps.
| Plugin | Description |
|---|---|
| API and API Stream (XML-RPC) | API for integrating 3rd party information and analytics into the Geneos solution. |
| Extractor (HTML and XML) | Extract data from html and xml files to create dataviews that can be monitored using Geneos. Extractor plugin also works with our Web Monitor (Webmon) plugin to extract content from a web page. |
| JMX Server | Monitors JMX-enabled applications such as J2EE, Weblogic, and WebSphere. |
| JMX Thread Info | Monitors the thread sub-system of any JMX-enabled application. These include applications which have been written to expose their state by implementing the JMX specification, for example, Java 5 and Tomcat 6.0. |
| Message Analyzer (IX-MA) | Allows you to produce comprehensive views of message activity as a recording in, for example, a FIX log. The plugin can also be used to parse information from application logs in a more dynamic method using regular expressions. |
| PERFMON (Windows) | Extracts performance information from Windows Performance Monitor. |
| SNMP MIBS and Traps |
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| Toolkit (scripting) | Facility to integrate output from custom commands and scripts into Geneos. |
| SQL Toolkit | Facilitates the analysis and evaluation of database queries. The query must be given as an SQL command. The SQL Toolkit plugin will run the query on a periodic basis and will create a dataview based on the returned results. |
| State Tracker | Scans log files in real-time and updates a set of states based on predefined keywords or phrases. |
| WMI (Windows) | Shows details Windows performance monitor using Windows Management Interface API. |
Application Plugins Copied
These plugins allow you to monitor various aspects of your financial services systems, middleware, databases, infrastructure, and web services.
Financial Services Systems Copied
| Plugins | Description |
|---|---|
| Bloomberg B-PIPE | Monitors the Bloomberg Managed B-PIPE machines’ application and service metrics by looking at device status information. Note: This solution is approved by the vendor. Additionally, Bloomberg adapter is the MDM feed for this application. |
| ClearVision | Monitor the status of ClearVision stations, database, start buttons and exchange connectivity. Additionally, you can see Exchange reading, clear/un-clearing times, send/receive queues, tickets and the availability of local and remote hosts. |
| Fidessa | Monitors the overall health of the Fidessa system, including details of Fidessa application processes, user send and receive queues and connectivity status, inventory of installed Fidessa modules, Fidessa database capacity levels, order information: queued orders, failed transactions, failed publications, non-routed orders. |
| Fidessa DQ | Monitor data in FIDESSA’s real-time database, specifically targeting the tracking of failed trades in the FTS module. It can also be used for any other real-time database query based monitoring. |
| ORC | Monitor the connection details of users according to the ORC process (e.g. CDS), monitor key parameters of Port Mapper Daemin (PMD) and Exchange Mapper Daemin (EMD) processes. |
| Trading Technologies | Monitors the availability of your TT Gateways, the performance of TT multicast traffic (e.g. packet send rates) and the status of TT application services (e.g. Price, Order, Fill, Order Router). Note: TT adapter is the MDM feed for this application. |
| GL Trade | Allows you to closely monitor the Users and Server connections to the GL P3 router process. Note: GL adapter is the MDM feed for this application. |
| Message Tracker | Provides an interface for users to measure the latency of message propagation (e.g. orders and acknowledgements) through their systems and to monitor messages that fail to arrive at specified destinations. |
Middleware Copied
| Plugin | Description |
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| IBM MQ |
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| Tibco RV |
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| Tibco EMS |
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Databases Copied
| Plugin | Description |
|---|---|
| MongoDB | Provides information about the MongoDB server such as the current state of the database, metrics for write performance, database statistics storage, and the state an use of indexes in MongoDB. |
| Oracle | Provides metrics from an Oracle database including, but not limited to, table space data, database locks and long running queries. In addition, the Oracle plugin can also monitor the Oracle trace file directory, which contains a log file for every instance an Oracle process failed after encountering an exception. |
| Sybase | Two plugins are available for Sybase:
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Additionally, PostgreSQL, MySQL, IBM DB2 and MS SQL Server can be monitored using SQL-Toolkit Plugin
Infrastructure Copied
| Plugin | Description |
|---|---|
| Citrix XenApp | Provides an interface so you can monitor important parameters of your Citrix systems including server load and active sessions. Monitor the number, name and load of applications published by a Citrix server. Displays essential feedback on the number of sessions running on a Citrix server (e.g. sessions in use, total sessions available etc.) and details regarding the processes running on the system that stem from a Citrix ICA/RDP logon. |
| Veritas Cluster Server | Monitor the state of all services groups running on the system including the resource utilization of each group. Displays heartbeat link status information for the current system and monitors information on the GAB port membership. |
| Windows Cluster Monitoring | Ensures that critical applications and services are available when needed. Clustering uses multiple servers and redundant interconnections to form a single, highly available system that provides protection against downtime for important applications or services. It uses the native API to obtain information on configured Windows failover clusters. |
Web Services Copied
| Plugin | Description |
|---|---|
| REST-API Plugin | REST-API Plugin enables a Geneos to listen to inbound messages on an HTTP or HTTPS connection allowing other applications and service to publish metrics into Geneos. |
| REST Extractor Plugin | REST Extractor plugin enables you to parse and extract fields from JSON content and turn these into dataviews in Geneos for monitoring. |
| Web Monitor with Extractor | Web Monitor (Webmon) shows web server and web service availability and delivery speed. Extractor allows information to be pulled from the response by WEBMON or from a HTML/XML file for manipulation and further alerting. |
Obcerv Copied
Obcerv Platform Copied
The Obcerv platform supplies storage for Metrics and Logs from ITRS Uptrends, ITRS Opsview, and ITRS Geneos. This conveniently centralizes critical monitoring data (such as metrics, states, and logs) from infrastructure, applications, and networks into a single repository.
As a “monitor of monitors”, Obcerv brings context and meaning to alerts from your various monitoring systems. Obcerv also has capabilities for predicting performance issues and forecasting resource utilisation. By applying probable cause analytics, Obcerv helps reveal the most likely source of a problem in your IT operations. For more information, see Obcerv Documentation.
Obcerv Application Free Tier Copied
| Plugin | Description |
|---|---|
| Web Console | Monitors critical data of your always-on enterprise from a web browser. This also allows data visualization with dashboards |
| Alerting | Displays signal KPIs that provide an overview of the constantly and rapidly changing states in the IT estate. Allows immediate checking of important trends derived from signals and triggered by observed entities from the Signal KPI widgets. |
| Capacity Planner | Allows publishing of data from Obcerv to a Capacity Planner instance. |
| System Overview | Provides a customizable summary of the entities monitored by Obcerv and allows a new user to immediately get a high-level overview of their estate and to expand into detailed metrics in areas of interest. |
Rest API Service Copied
Provides a publicly accessible REST API to interact with the Obcerv platform. For more information, see API Gateway.
Obcervant Apps Copied
| Plugin | Description |
|---|---|
| Forecaster | Creates forecasts based on historical usage on a metric of interest and then generates either of these signals:
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Obcervant FIX Monitoring Copied
| Plugin | Description |
|---|---|
| FIX | Monitors FIX transactions by ingesting and analyzing FIX log data. With the FIX Monitor app, you can:
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Market Data Monitor Copied
| Plugin | Description |
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| Market Data Monitor (MDM) | The Geneos Market Data Monitor (MDM) provides a library of pre-built adapters and scripts, as well as APIs, to allow organisations to create customised market data monitoring solutions that range from volume, variety, velocity, veracity and much more. Users can:
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MDM feeds adapters available — Bloomberg, NYXT, GL, TT, RFA, Exegy, QuantFeed, ICE
MDM feed adapter API — Allows you to bring your own data source into MDM
MDM data analysis scripts available — Relative Feed Latency, Absolute Feed Latency, Feed Gap Detection, Instrument Statistics, Spread Comparisons
MDM data analysis API — Run programmatic analysis on the normalised and time-stamped data returned from those sources in real-time
FIX Analyser 2 Copied
| Plugin | Description |
|---|---|
| Fix Analyser 2 | Financial Information eXchange (FIX) the industry standard protocol is used extensively within global financial markets to communicate trade information between participants including buy and sell side businesses trading platforms and even regulators. FIX Analyser monitors these messages and their content so that businesses can obtain valuable insight, in real-time, into:
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| File Agent | The Geneos File Agent is a lightweight data collection process which runs on an application server, and forwards log data onwards to a separate process for monitoring. This separation is intended to minimise the impact on the application server machine, so as to avoid impacting performance of the monitored process. |
IBM i (AS/400) Plugins Copied
These plugins allow you to monitor IBM i remotely using the JTOpen library which is the open-source version of the IBM Toolbox for Java, and is a library of Java classes that allows access to IBM i resources. For more information about the IBM i plugins, see the IBM i AS/400 documentation.
| Plugin | Description |
|---|---|
| CPU | Displays the CPUs used by the IBM i system/partition. |
| Disk | Displays the disk status of the IBM i system. |
| Hardware | Displays the major operating system and hardware resource settings for the IBM i. |
| File Member | Displays the members of the specified database file of the IBM i system. |
| JDBC | Displays data from Db2 for i based on configured SQL queries. Each SQL query will have an associated dataview. |
| Job | Displays the IBM i server jobs. |
| Log Reader | Displays the status of streams generated by the IBM i Log Reader plugin. |
| Member Reader | Displays the member information given a list of files/file members. |
| Message | Displays the messages for a configured message queue. |
| Pool | Displays the storage pools for the IBM i system. |
| Queue | Displays message queues (MSGQ) for the IBM i system. Message queues are used for system and program messages for the operator. |
| Subsystem | Displays information about the IBM i subsystems. |
BMC Control-M Plugin Copied
| Plugin | Description |
|---|---|
| BMC Control-M Plugin | The Control-M plugin allows you to monitor scheduled jobs that are running on a BMC Control-M server. This unified view provides users with real-time visibility of their Control-M environment, informing them of:
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Corvil Plugin Copied
| Plugin | Description |
|---|---|
| CorvilNet | Allows monitoring data from CorvilNet Engines (CNE) and currently supports CNE generated monitoring statistics, system events generated by the CNE and the monitoring of CNE threshold events. |
| Note: requires Geneos Development Tools licence |
UltraMessaging Plugin Copied
| Plugin | Description |
|---|---|
| Informatica UltraMessaging | This plugin allows the monitoring of UltraMessaging components for UM-based applications by monitoring the UMS, UMP persistence stores and gateway monitoring. |
| Note: requires Geneos Development Tools licence |
Terracotta Messaging Plugin Copied
| Plugin | Description |
|---|---|
| Software AG Terracotta Messaging | Provides detailed, real-time statistics about the performance of Nirvana Clusters by use of the webMethods Nirvana Messaging admin API |
| Note: requires Geneos Development Tools licence |
VMWare ESXi Plugin Copied
| Plugin | Description |
|---|---|
| VMWare ESXi Server | Utilizes the VMWare vSphere API to continuously monitor a VMWware host and associated virtual machines, delivering the real-time monitoring into the Geneos framework |
| Note: requires Geneos Development Tools licence |
Refinitiv Enterprise Platform Copied
| Plugin | Description |
|---|---|
| Refinitive Enterprise Platform (formally TREP) | This interface allows operations staff to monitor the health of Thomson Reuters Enterprise Platform for RT components (TREP RT), control operational parameters and monitor global connectivity and latency. This interface provides a structured mapping from TREP variables to Geneos variables. This can also be used for any RMC-based component |
| Note: requires Geneos Development Tools licence |
Cloud Monitoring Copied
| Plugin | Description |
|---|---|
| Amazon Web Services (AWS) | Amazon Web Services (AWS) integration with Geneos enables you to retrieve live Amazon Elastic Compute Cloud (EC2) instance information, list CloudWatch metrics, monitor volumes and other interactions configured in Amazon Web Services, including Billing and Usage metrics. Integration allows scaling to be more interactive, giving you the advantage of automating tasks and measuring a business application efficiently to achieve cost savings. |
| Microsoft Azure | Azure integration enables you to retrieve all metrics and logs available in your Azure Monitor setup and display them as dataviews in Geneos. |
| Google Cloud Platform (GCP) | Google Cloud Platform integration enables you to retrieve all metrics and metadata available in your Google Cloud Platform setup and display them as dataviews in Geneos. |
Orchestrated Environment Monitoring Copied
| Plugin | Description |
|---|---|
| Netprobe and Collection Agent | Netprobe and Collection Agent facilitates the collection of application metrics, logs, and events in highly dynamic environments. An orchestrated environment is one where the provisioning and scaling of applications is defined declaratively, and an automated orchestrator or coordinator executes the requisite operations to deploy the applications. The most common example is the Kubernetes and OpenShift platforms. Netprobe and Collection Agent gathers application data points and reports them to Geneos for dynamically enabling monitoring with minimal configuration. |
| Kubernetes and OpenShift | Kubernetes and OpenShift platforms manage containerised workloads and services. They provide a container-centric management environment. The plugin collects logs, metrics and events and dynamically enables monitoring in Geneos minimising configuration burden in highly dynamic environments. |
| Prometheus | Monitors metrics from the Prometheus server and alerts from Alert Manager. This plugin collects these data using the Remote Write capability of the Prometheus server, which provides real-time metrics and events. |
| FluentD | Provides a collector that supports the inbound Fluentd Forward protocol messages and allows Geneos to receive Fluentd Forward unified logs for visualisation, analysis, and storage. |
In-App Monitoring Copied
| Plugin | Description |
|---|---|
| Netprobe and Collection Agent | Netprobe and Collection Agent gathers application data points and reports them to Geneos for dynamically enabling monitoring with minimal configuration. |
| StatsD | StatsD is a lightweight, industry standard daemon that allows you to collect and aggregate application metrics and logs. Developers can instrument their applications using language specific libraries and communicate with the StatsD daemon using a simple protocol. Aggregated metrics from the StatsD daemon can be sent to StatsD Collection Agent plugin. Using a StatsD monitoring solution has the following advantages:
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| OpenTelemetry | OpenTelemetry is an open, vendor-neutral standard adopted and supported by industry leaders in the observability space. With the increased use of highly distributed microservice architectures, OpenTelemetry has become the standard for instrumenting applications for collecting observability data. This plugin gives you full-stack monitoring of your systems and applications, alongside your other monitoring using the extensive range of plugins in Geneos. |
| FKM | Scans log file updates in real-time and matches against a set of predefined keywords. This plugin also allows you to:
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| State Tracker | Monitors any process, system or application that writes to a log file and think in terms of “current state” instead of keyword matching. |
| Dynamic Entities Health | Monitors the performance of Collection Agent and Netprobe communication. It tracks the state of all metric received by a probe from the Collection Agent, and all Dynamic Entities associated with a probe. |
Integrations and third-party solutions Copied
| Plugin | Description |
|---|---|
| ActiveMQ | ActiveMQ monitoring integration provides visibility into key areas of ActiveMQ applications.
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| Apache Cassandra | Apache Cassandra is a free and open-source distributed NoSQL database management system that provides scalability and high-availability. Cassandra monitoring integration provides visibility into some of its key attributes:
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| Docker | Docker monitoring integration tracks the following key areas of Docker deployment.
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| Elasticsearch | Elasticsearch is a distributed, search and analytics engine that is capable of scaling horizontally, allowing to add more nodes to the cluster. Elasticsearch monitoring integration tracks the following key areas:
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| Hadoop (HDFS and YARN) | Hadoop monitoring integration provides visibility into the Hadoop cluster, nodes, and daemons including YARN metrics. |
| Kafka | Kafka monitoring integration provides visibility into:
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| Kubernetes | Kubernetes monitoring integration provides visibility into:
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| MongoDB | MongoDB monitoring integration helps you to get an overview of database operations, such as:
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| OpenShift | Red Hat OpenShift Container Platform is an enterprise application platform, built for containers that use Kubernetes environments. OpenShift integration enables you to retrieve all metrics and metadata available in your OpenShift environment and display them as dataviews in Geneos. You can query services of your OpenShift running environment, see the number of pods, list the available images you can deploy, check the ability to deploy builds, and tail logs from a pod or from a container. |
| PostgreSQL | This monitoring integration allows monitoring of queries, views, triggers in the Gateway set-up, and other server activities, such as:
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| RabbitMQ | The RabbitMQ monitoring integration provides visibility into:
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| Apache Zookeeper | Zookeeper monitoring integration monitoring integration provides visibility into:
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