Over the past few years, companies are accelerating their digital transformation investments. Companies see the benefits that digitalization can bring to their business. However, for the digital enterprise, IT has become mission critical. Any IT downtime will cause service disruption and may be extremely costly. 

With more data being collected, it is important to harness machine learning and artificial intelligence to assist the IT team in their day-to-day operations.

By having observability into the full-stack of IT, the enterprise will be able to identify issues before they cause downtime, ensure positive user experience with enterprise apps, and to reap positive ROI from IT investments. 

Artificial Intelligence for Operations (AI Ops)

NetGain Ai Ops maximizes IT uptime and effectiveness by harnessing AI to augment and assist in infrastructure problem identification and resolution

With observability, enterprises collect massive volume of data from metrics, logs and traces.   AI assists the IT team to identify issues and resolve them quickly.  With machine learning, the system gets better over time with more data ingested.

There are three features of AI Ops:

Key features

• Forecasting – estimating when a problem will arise, for example, due to insufficient resources
• Outlier detection – identifying resources behaving differently from other similar resources
• Anomaly detection – identifying resources behaving differently from its usual behavior

Dashboard 2.0

Create, explore and share your data through beautiful, flexible dashboard templates.

Dashboards 2.0 provides users with a high-level view of the operating status of the various resources in the IT infrastructure. It displays live key performance data in easily understood tables, charts and graphs, and allows queries to be made and their results shown, making it ideal for use in on-screen displays in a Network Operating Center or with management staff. 

Key Features

• • Unify your data through a single pane of glass
  • Breakdown silos and empower teams with shared access to data
  • Foster collaboration and transparency through dashboard sharing in the organization
  • Flexibility and versatility

Synthetic Monitoring

Synthetic Monitoring helps users ensure the continued and consistent performance of their applications.

Users can create a simulated user transaction for an application that will be executed according to a preset schedule. The application would be monitored for functionality, availability and performance when the simulated user transaction is executed, and users will be alerted should it be found to be impaired when measured against expected SLAs.

Key Features

• • Baselining around-the-clock network behaviour and objectively measure SLAs.
  • Analyze trends and variances for peak and non-peak hours for better capacity planning
  • Run continuous testing to know the state of your end users experience

Resources

Brochures

Data Sheets