Integrated forensics platform for analyzing IT resources consumed to derive operational and architectural recommendations
View Patent ↗A method for facilitating forensic analysis of operational data for an IT infrastructure includes deriving performance data from a plurality of physical systems, network elements and storage devices in an IT infrastructure via a toolset comprising a plurality of IT monitoring and metrics tools, importing the performance data into an integrated forensics platform, aggregating the imported data, and analyzing the aggregated data to determine resources consumed. Each tool is communicatively interfaced with one or more of the physical systems, network elements and storage devices.
1. A method for facilitating forensic analysis of operational data for an Information Technology (“IT”) infrastructure, comprising the steps of:
deriving performance data from a plurality of physical systems, network elements and storage devices in the IT infrastructure via a toolset comprising a plurality of IT monitoring and metrics tools, wherein each tool is communicatively interfaced with one or more of the physical systems, network elements and storage devices;
importing the performance data into an integrated forensics platform;
aggregating the imported data;
analyzing the aggregated data to determine resources consumed;
producing a forensic heat map setting forth a collection of metrics and at least one aspect of resource consumption for each metric includes producing a collection of forensic heat maps, each for a separate application; and
selectively displaying the collection of forensic heat maps to a user via an archaeologist platform.
2. The method of claim 1 , wherein the toolset includes third party tools.
3. The method of claim 2 , wherein the third party tools include a plurality of tools from different providers.
4. The method of claim 2 , wherein the third party tools include at least a first tool provided by the owner or manager of the IT infrastructure and at least a second tool provided by an entity other than the owner or manager of the IT infrastructure.
5. The method of claim 1 , wherein the at least one aspect of resource consumption for each metric includes a current condition of the respective metric.
6. The method of claim 5 , wherein the condition of the respective metric is described on a scale having at least three values.
7. The method of claim 6 , wherein the condition of the respective metric is described textually.
8. The method of claim 6 , wherein the condition of the respective metric is described graphically.
9. The method of claim 1 , wherein the at least one aspect of resource consumption for each metric includes a current impact of the respective metric.
10. The method of claim 9 , wherein the impact of the respective metric is described on a scale having at least three values.
11. The method of claim 10 , wherein the impact of the respective metric is described textually.
12. The method of claim 10 , wherein the impact of the respective metric is described graphically.
13. The method of claim 9 , wherein the at least one aspect of resource consumption for each metric also includes a current condition of the respective metric.
14. The method of claim 1 , wherein a type of resource to which the metric pertains is included in the forensic heat map for each metric.
15. The method of claim 14 , wherein the resource types are selected from a group that includes processing, messaging, memory, data and availability.
16. The method of claim 14 , wherein the resource types are selected from a group that includes variability of consumption (variation), latency of consumption, intensity of consumption (quality) and occupancy of the resource (volume).
17. The method of claim 1 , wherein a metric type is included in the forensic heat map for each metric.
18. The method of claim 1 , further comprising a step of generating software anomaly risk information.