ITRS Product Roadmap

Overview

At ITRS, we share our Product Roadmap with our clients so that we highlight not just new physical deliverables, but also how they fit in with our company initiatives. These initiatives relate the tangible benefits that our clients see when using ITRS software in their daily lives.

This roadmap is subject to constant re-evaluation and change with business need.

Geneos

Feature Timeline Description
Webhooks Hub 1.7 Enable published events to trigger webhook calls, in order to integrate with external systems such as ticketing systems, chatbots, and so on.
Grafana integration Hub 1.8 Gateway Hub as a data source plug-in for Grafana.
Analytics dashboards Hub 1.9 General-purpose analytics dashboards; for example, showing metric values over time, and so on.
MiniGeneos   Run a 'lite' version of Geneos in memory, in order to quickly test a plug-in and visualise using the new UI.
Query performance optimisations   Improvements to query performance through downsampling and improved use of Spark.
Anomaly detection UI component   Overlay 'normal' metric values on a metric chart.
Centralised SAN configuration   Centralised configuration for Self-announcing Netprobes.
Anomaly detection via the rules engine   Configure anomaly detection automatically using rule syntax, rather than maintaining data sets manually.
Calendars   The ability to handle special days in adaptive rules; for example, bank holidays and non-farm payroll days.
Automatic baselining/rule setting   Being able to understand what 'normal' looks like is important for configuring monitoring. Automatic baselining is about generating 'normal' from the current historical data.
Auditing in Hub   Generate audit data from activity in Gateway Hub.
Secrets service   A dedicated service for secrets handling, including integration with tools like Vault and CyberArk.
Upgrade to Python 3   Upgrade to Python 3, as Python 2.7 will not be supported in 2020.
Commands   Invoke commands on a monitored machine or Gateway via Gateway Hub.
Central user preference storage   Store user preference data centrally so that preferences are maintained across different browsers and devices.
Globally distributed architecture   Improved integration between globally distributed Hub instances.
Monitoring dashboards   Easily configurable dashboards for visualising monitoring concepts.
Hub rules engine   A rules engine for Gateway Hub.
Orchestrated Hub deployment   Deployment of Gateway Hub via OpenShift/Kubernetes.
Mobile notifier   Mobile push notifications for Geneos.
     

Collection

Feature Timeline Description
Inside-the-app monitoring Geneos 5.1 Take the inside-the-app monitoring capabilities provided by the Orchestrated Netprobe and make it available in non-orchestrated environments (currently only available on OpenShift and Kubernetes).
Auto-discovery Geneos 5.1 Auto-discovery framework for Self-announcing Netprobes.
PCF Health Metrics   Monitoring Pivotal Cloud Foundry
Advanced AWS monitoring   Ability to organise AWS monitoring using tags, auto-discovery for Self-announcing Netprobes on EC2.
Enhanced FIX Analyser   A more comprehensive FIX solution that will include text searching and integration with Log Analytics.
Enhanced FKM   Integration with ITRS Log Analytics and new search capabilities. Additional admin view to provide FKM key usage data.
Prometheus support for Orchestrated Netprobe   Support for Collection Agent to ingest metrics from Prometheus directly.
State Tracker improvements   Improving the State Tracker plug-in functionality, adding ability to handle changes in column order, adding ability to count, sum, and average items.
     

Capacity Planner

Feature Timeline Description
Improve rightsizing flexibility Release 103 Provide the user with more flexibility when rightsizing workloads. This will allow users to specify a minimum CPU count when downsizing and to change the allowable headroom 'buffer' from the default current of 70%.
Data Retrieval and Insertion API Phase 1 Release 103 Provide an API to allow for full creation of entities, metrics, grouping values and the recording of time series data. Allow a user to create an application-specific physical baseline using the API.
Improve events API to provide less events but more detail Release 104 The API currently sends all events. As a result, if a entity/metric combo crosses mutliple thresholds, there will be multiple events for each threshold crossing. This feature will address that by providing only the most critical event for the entity/metric combo along with further information allowing users to do further filtering.
Customising and saving report parameters Release 104 Provides the user with the facility to save a report parameter set as a named report and then re-run that report at any time without having to re-enter parameters.
Configuration of Idle/Under/Over provisioned thresholds Release 104 Provide UI mechanism to allow for configuration of dynamic groupings, specifically the 'activity' grouping for determining Idle/Under and Over provisioned machines. Update Forward Thinking to dynamically change workload activity values where appropriate.
Enhance PredictIncident ServiceNow App   Enhanced automatic ticket updates. If an open ticket exists for the same entity and metric, then a new ticket will not be raised; rather, the existing ticket will be updated with any change in prediction date.
Private cloud recommendations panel Release 104 Replace the watchlist with a more useful panel providing automatic recommendations based on baseline analysis. This includes rightsize recommendations, including target vCPU configurations, hardware deployment in clusters, and storage reduction.
Representing short-lived workloads Release 105 Provide a new visualisation showing workloads/instances with a time dimension, highlighting areas of inactivity or when machines/instances/containers are and are not running. Allow user to re-arrange the visualsation using groupings mechanism.
Rightsizing and optimising cloud instances Release 105 Automatically suggest cloud instance configurations, taking optimal capacity reservations into consideration, to reduce costs effectively. Present via recommendations panel and provide visualisations to support analysis.
Auto-suggesting optimised AWS reserved instances Release 105 Auto-suggest via the recommendation panel optimum capacity reservations to purchase in AWS based on historical data and present visualisations to provide evidence to support analysis.
Pass through SSRS Reporting API Release 106 An API allowing for the execution of SSRS reports and providing data from those reports in a structured format that can be used in alternative dashboarding/BI tools (such as PowerBI).
Auto-suggest host and storage requirements in Forward Thinking Release 106 Where storage constraints are met and/or when a cluster no longer meets HA requirements as a result of a Forward Thinking scenario outcome, have recommendations via the recommendations panel that suggest the required storage and compute capacity. User can accept the recommendations and automatically update the scenario.
     

Synthetic Monitoring

Feature Timeline Description
ITRS portal branding Q2 2019 The Apica Synthetic Monitoring portal will now carry the ITRS Brand.
     

ITRS OP5 Monitor

Feature Timeline Description
Slim Poller   A small footprint, containerised, poller configured version of Monitor.
UI Base   Skeleton of the UI to populate with content
Object List View   Host, service, host group, and service group list views.
Improved API   New high-performance API decoupling back-end and UI.
Master container Monolist   OP5 Monitor in a single container; that is, a Monolith.
Object Item view   Host, service, host group, and service group item views.
Graphs   Graphs to show in item view and open from list view.
Dashboard   Dashboard with list and graphs widget.
Visualisation   Visualisation of data in an easy-to-comprehend and attractive manner.
Reports   UI support for reports.
Business Services   UI support for business services.
Visualisation of short-lived services   Ephemeral environment visualisation
Improved Onboarding   From installation to getting started with monitoring
     

Website resources

Feature Timeline Description
Learning management system Q1 2020 ITRS will be deploying a new learning management platform that will allow you to register, take courses, and keep track of your progress as you move from beginner to advanced ITRS software users.