Event Analytics

We employ AI technologies to help you sift through the noise

Today’s IT and Network Operations teams routinely find themselves in an unenviable position. Despite growing complexity caused by “software-defined-everything” and exponential growth in operational data to sift through, end users are demanding zero downtime and higher SLAs. Whether you’re an energy utility or a Tier 2 service provider, service impacting events are no longer tolerated. Customers have a choice and regulators are poised now more than ever to complicate your business.

Traditional fault management tools used capabilities like deduplication and XnY enrichment to help operations teams draw correlations sooner. As the volume and velocity of operational data grows, operations teams are falling behind trying to keep up with these antiquated capabilities.

While we don’t have a crystal ball, we do have new weapons today that can take your operations practice to the next level. What if we could unlock insights in the vast amount of operational IT data you already have on hand?

With the advent of artificial intelligence capabilities and their cost and complexity dropping, IT monitoring and assurance vendors are beginning to look at use cases where these technologies can have a significant impact in value on IT Operations and applications development teams. We typically see artificial intelligence and big data solutions fall in three areas within IT operations:

• Fault or alarm data – these are events – like a SNMP trap – that are generated when a threshold or a condition is met
• Performance data – these are time series metrics like CPU utilization or java heap; they have a time stamp, metric and resource name and they tell us about the health of a resource
• Log data – is unstructured data often found in a file format gives us introspection into the history of a resource

The leading fault management vendors have invested millions of dollars acquiring and developing artificial intelligence solutions that look at your historical fault data to infer real-time correlations between faults as they occur. This capability is called Event Analytics and true Event Analytics requires little to zero programming to configure or administer.

AccuOSS leads with two best of breed Fault Management solutions that can scale for a regional bank up to a nationwide wireless carrier. Both technologies have built-in Event Analytics capabilities that offer real artificial intelligence and vary in cost and complexity:

• IBM Netcool Operations Insight (NOI): IBM’s flagship network management solution. NOI bundles IBM’s best-of-breed NMS solutions into a single offering for simpler licensing and a more inclusive NMS bundle. Customers who purchase NOI will have access to IBM Netcool OMNIbus, IBM Tivoli Network Manager, IBM Netcool Impact and IBM Network Configuration Manager. NOI also includes IBM’s latest addition to the portfolio that enables real-time event analytics and event grouping as well as IBM’s log management platform, IBM Operations Analytics Log Analysis.
• Oracle Unified Assurance: Formerly known as Federos Assure1, the Unified Assurance platform combines fault, discovery/topology, performance and enrichment in a single unified platform. Assure1 also offers the ability to tap into nearly any historical event repository, whether you use Assure1 or another fault management vendor, to analyze your historical data and discover relationships that your operations teams can take action on immediately.

As we help more and more customers adopt Event Analytics, we see operations teams deliver more value back to their end users.

If you’re interested in learning more about Event Analytics or just want to have a fault management discussion all together, please feel free to contact us by clicking the “contact us” button below.