AIOps Platform

Knowing before your customer does.


What is AIOps?

AIOps combines Big Data with Machine Learning to automate identification and resolution of common IT issues. The technology removes complexity in disparate environments, prevents outages, and automates everyday IT operation tasks.


Identify the customer in their digital journey

As systems become increasingly more fragmented, having a 360° view of your customers’ digital journey is needed to understand and improve their experience.

Continuous Improvement

Become proactive in service delivery

Through machine learning, your system will take advantage of the increasing amount of data flowing through your environment, and make decisions, before a human can.

Actionable Insight

Strategic and Tactical Data-Driven Decision Making.

Unified Monitoring

Bring your data into a single place and scale it, to understand your environment from every angle.

Holistic View

A 360° view of customers' digital journey is needed to understand how they interact with your organization.

Continuous Insight

Enable your technology teams to drive innovation through improved quality and business agility.

Proactive Planning

Become proactive in resource and capacity planning. Spot and prioritize problems faster.

Predict Bottlenecks

Identify bottlenecks and and resource wasting across your infrasture.

Signal vs. Noise

Eliminate redundant noise and focus on what is important for you customer's experience.
All-in-One Solution

Kojiki AIOps' Key Features

Data-source Agnostic
An analytics layer built on top of existing domain-centric monitoring tools:
  • IT Infrastructure Monitoring (ITIM)
  • Network performance monitoring and diagnostics (NPMD)
  • Application Performance Monitoring (APM)
  • Digital Experience Monitoring (DEM)
Disruptive Technology
Rapid adoption of transformative techonology:
  • Containers & Microservices
  • Continuous Integration (CI) & Continuous Deployment (CD)
  • Configuration Management Database (CMDB)
Machine Learning
Automate pinpointing in complex environments:
  • Advanced Statistical Analysis
  • Pattern Disovery and Prediction
  • Anomaly Detection
  • Root Cause Determination
KPI Dashboard
Adopt industry best practice KPIs:
  • Network Management and Operations Analytics
  • Information Technology Management
  • Operations Support System
  • Servers, Infrastructure, and Equipment.
Unified Architecture

Enterprise Grade AIOps Platform

How does it works in practice?
  • Capture data from any IoT devise: Smartphone, Web Application, Network Equipment, or Gadget.
  • Capture customer experience by measuring performance and utilization of IT assets.
  • Analyze data from any data source, such as logs, events, APIs, or agents.
  • Monitor the environment holistically and mitigate issues before they reach the customer.

Contact us for a free demonstration

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