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LogicMonitor’s SaaS-based observability and IT operations data collaboration platform helps ITOps, developers, MSPs and business leaders gain visibility into and predictability across the technologies that modern organizations dep...Read more
The Splunk Enterprise platform allows users to process and index most forms of data in their native format. It includes data indexing tools, which enable users to locate specific data across large data sets. The software is d...Read more
AppDynamics is an AI-powered application performance management (APM) platform that provides businesses with complete observability over the performance of their IT infrastructure. Unifying full-stack performance monitoring, AppDy...Read more
Autointelli AIOps is a cloud-based solution, which enables businesses to identify root causes, manage incidents and automate IT operations using machine learning technology. Professionals can receive notifications about specific i...Read more
ServicePilot is a high-performance IT monitoring system supporting highly detailed observability of critical applications, surveillance of thousands of devices, and analysis of millions of events. Combining real-time and historica...Read more
As an IT professional, you work with dozens of tools that generate huge volumes of complex data in the form of logs, metrics, event records, and more.
With traditional IT operation monitoring techniques, it can take too long for your team to inspect the data from various systems and tools (in hybrid, diversified environments) to identify the root cause of issues. This will eventually affect service delivery and customer user experience.
AIOps is the application of artificial intelligence (AI) for IT operations. It helps IT Ops, DevOps, NetOps, and SecOps teams detect digital service issues faster and resolve them quickly, before it affects business operations and customers. This helps prevent outages, maintain uptime, and provide optimal service delivery.
This software can integrate with IT service management software, issue tracking, IT management software, and application performance management software to aggregate and summarize data from multiple sources in order to improve visibility across business services and applications within the IT infrastructure.
Given the many options available on the market, deciding which software to choose can be confusing. In this buyers guide, we’ve provided all the information you need to make the right purchase decision for your IT needs.
Here’s what we'll cover:
AIOps platforms, known as artificial intelligence for IT operations, is an application that automates and streamlines IT operations by applying artificial intelligence, machine learning, and analytics to big data. AIOps platforms collect massive amounts of IT data (big data) from various tools and devices, correlate data in a contextual form, and identify root causes of problems and recurring issues.
The insights from AIOps platform software can be turned into intelligent actions performed automatically, allowing IT professionals to make decisions faster and more accurately. Such platforms can alert SecOps, NetOps, DevOps and other IT teams of problems and opportunities which they can collectively observe, engage, and act on. This results in continuous improvements and fixes in core IT functions of an organization, which help avoid downtime and improve customer satisfaction.
Reporting/analytics in Splunk Enterprise (Source)
Data aggregation |
Collect, process, and summarize data from multiple sources in a report-based form for further data analysis. |
IT monitoring |
Gather metrics about the operations of an IT environment’s hardware and software to assess the performance of an IT infrastructure and network in real-time. |
Root cause analysis |
Determine the underlying cause of problems in hardware and software of an IT infrastructure. AIOps goes deep into the root of the problem more quickly than manual analysis. |
Analyze large data sets to find correlations and patterns and use these patterns to make predictions and provide valuable insights. |
|
Alerts/notifications |
Provide a means of alerting IT professionals faster by automatically generating alert messages and notifications when an issue is detected by the AIOps software. |
Detect, investigate, and respond to incidents of unplanned events or service interruption. This helps the IT team restore a service to normal as quickly as possible after a disruption. |
|
Performance monitoring |
Diagnose performance and availability problems within the IT infrastructure and network. It is used to observe applications, log issues, trace, and alert DevSecOps teams about irregularities or issues with cloud or on-premise infrastructure. |
Reporting/analytics |
Deliver reports in the form of dashboards, graphics, or other forms to your IT teams and management in an easy-to-understand format. These reports about key metrics on IT infrastructure issues and performance can help you take action to resolve and improve the organization’s IT operations. |
Third-party integrations |
ntegrate with current tools within the organization, bringing together information, insights, and capabilities to improve visibility across all tools. Such tools typically integrate with ITSM, monitoring tools, issue tracking, IT management software, and application performance management software. |
Application security |
Identify and respond to security threats within developed applications. AIOps manages massive amounts of data collected from multiple sources to a central location, allowing better process and application security. |
Before evaluating AIOps platforms, you should assess what kind of buyer you are. The majority of buyers in this market belong to one of these categories:
Below is a list of benefits you can expect from implementing AIOps platforms:
Some AIOps tools work with any type of data, known as data-agnostic tools, while other AIOps tools work only with certain types of data in specific use cases. These are known as domain-specific tools. It is important to know your business needs before purchasing a software tool.
If your organization has a dedicated IT team for monitoring and developing applications, and your employees work with a variety of data types, it is advisable to purchase a data-agnostic AIOps tool. Such tools can be applied in a wide variety of use cases such as application performance monitoring, maintenance and upgrades of network infrastructure, and analysis of business or marketing data.
But, if your team operates within a specific domain with finite needs, then a data-agnostic AIOps platform might not offer all the dedicated features and functionalities required for your specific domain. You should go for a domain-specific tool that caters to your specific need, such as a tool focused on application performance monitoring, security operations, cloud capacity management, or network infrastructure.
When buying AIOps tools, expect to pay more for platforms that offer more than just the basic features. Tools that only offer domain-specific features will cost less than those of data-agnostic AIOps tools which provide more advanced functionalities.
Note: The application selected in this article is an example to show a feature in context and is not intended as an endorsement or recommendation. It has been obtained from sources believed to be reliable at the time of publication.