13 Best AIOps Platforms To Enhance IT Operations [In 2021]

The amount of data is growing exponentially and it is becoming very difficult for IT companies to store and process these data. Some estimates suggest that over 2.5 quintillion bytes of data is created every day. Managing such an enormous volume of data with traditional practices seems next to impossible.

That’s where “AIOps” comes in handy. Its full form is Artificial Intelligence for IT Operations. The term was first coined by Gartner (in 2016), one of the world’s leading research and advisory companies.

Since then, AIOps has become a famous tool in the tech world, and companies are heavily investing in AIOps-enabled monitoring solutions.

AIOps combines machine learning and big data to automate and improve IT operations that include (but not limited to) process automation, performance monitoring, anomaly detection, dependency management, IT service management, and event correlation. It gives a 360-degree view of the entire IT infrastructure in real-time.

However, not all AIOps tools are created equal. Some are integrated with additional functionalities like service desk, incident management, and log analysis solutions. Below, we have listed some of the best AIOps platforms that can make a huge difference to the success of the company.

9. Datadog

Pros
  • Monitor various database types and their infrastructure
  • Slice and dice data using custom attributes
  • Built-in formulas to analyze metrics
  • Create complex alerting logic
Cons
  • Documentation is lacking in some places
  • Initial setup could be confusing

Ratings: 4.5/5 from 900+ customers
Price: Starts at $15 per host per month | Free version (with one-day metric retention) is available

Datadog is a SaaS-based data analytics platform for monitoring servers, databases, tools, and services. It automatically collects logs from all your apps and services and allows you to seamlessly navigate between logs, metrics, and request traces.

There are numerous visualization tools and drag-drop widgets, which you can use to customize your dashboards as per your needs. See business metrics and performance overviews side-by-side for easy correlation. You can even explore infrastructure, UX, logs, network, and security performance together for complete visibility.

Datadog uses machine learning methods to effectively identify problems in your infrastructure, applications, and services. It intelligently groups metrics and anomalies that are related to the surfaced issue.

Furthermore, it notifies you of every single issue, whether it affects a single host or a massive cluster. Every alert is specific, actionable, and contextual.

8. Instana

Pros
  • Traces every browser and mobile app request
  • Captures and isolates errors automatically
  • Supports all virtual, physical, and serverless services and functions
  • All data in Instana is available via API
Cons
  • No TypeScript support for Lambda applications

Ratings: 4.4/5 from 400+ customers
Price: Starts at $175 per host per month | 14-day free trial available

Instana facilitates the automatic, continuous discovery of your full application stack. A lightweight agent per host continually discovers all modules and deploys sensors tailored to monitor each technology. These sensors collect configuration, changes, metrics, and events without any human intervention.

All gathered data is then organized in such a way that you gain an immediate and exact understanding of performance. You can filter every aspect of your data to discover performance outlines, uniquely tagged traces, or problem patterns.

Instana applies machine learning and preset rules to determine the health of each module. It creates “issues” for any unhealthy module, while “incidents” are only raised when end users are impacted. Incidents include metrics, logged errors, exceptions, and configuration data that are used for root cause analysis.

7. Moogsof

Pros
  • Intuitive interface guides you all the way
  • Makes logical connections between data
  • Offers role-based access control
  • Workflow automation and outbound integrations
Cons
  • Documentation and flexibility for generic integration could be improved

Ratings: 4.5/5 from 1,100+ customers
Price: Starts at $833 per month | Free version supports up to 500,000 metrics

Moogsoft is the complete observability platform designed to enable developers to see everything, know what’s wrong, and fix things faster. Within minutes of deploying Moogsoft, you get complete visibility and context to reduce downtime and improve customer experiences at the pace that business demands.

The platform applies statistical calculations and noise-reduction algorithms to minimize noise, making it easier to detect and resolve issues.

It automatically reduces the “haystack” of data, making anomalies more obvious. The built-in smart algorithms quickly find the probable root cause of the issue and select the best approach to solve those issues. You can also override and manually select the rule-based or algorithmic approach.

6. BigPanda

Pros
  • Quicker insights and alert centralization
  • Automates different aspects of the incident management lifecycle
  • Adopt automation at your own pace
  • Smart ticketing
Cons
  • Steep learning curve
  • Quote-only pricing

Ratings: 4.6/5 from 1,000+ customers
Price: Depends on usage and project size | Free trial available

BigPanda helps you turn IT noise into valuable insights and manual tasks into automated actions. It uses machine learning methods to convert the inputs from various sources into a handful of context-rich incidents.

BigPanda connects to existing observability and monitoring tools and aggregates their data in real-time by utilizing more than 50 out-of-the-box integrations and powerful REST APIs.

In addition to locating the root cause of incidents and outages in real-time, BigPanda can accurately identify low-level infrastructure issues that might lead to a critical problem.

Furthermore, the in-built Level-0 automation system turns manual tasks into automated workflows, creating a seamless experience for IT operation teams. It also connects to Runbook tools to perform different workflow automation processes.

5. Splunk

Pros
  • Gathers data from multiple data sources and correlate
  • Customize the dashboard to visualize outputs
  • Set up accurate alerts for different KPIs
  • Active community of experts and useful training materials
Cons
  • Steep learning curve
  • Query error messages could be more specific

Ratings: 4.2/5 from 1,400+ customers
Price: Splunk Enterprise starts at $150 per month based on usage | 14-day free trial available

Whether you are just starting to digitize or working on cloud infrastructure for years, Splunk empowers you to predict, identity, and solve problems in real-time.

It comes with a predictive analytic system that allows you to forecast future incidents 30 minutes in advance using historical service-health scores and machine learning algorithms. The adaptive thresholding and anomaly detection system automatically update rules based on observed behavior, so your alerts always remain meaningful.

In addition to visually correlating services and their KPIs, you can drill down to code level and identify root causes directly from service-monitoring dashboards. 

The platform can efficiently handle a vast amount of logs data and is very well suited for small companies to large enterprises. However, it requires certain technical skills to be able to correlate the logs and perform queries on structured/unstructured data.

4. LogicMonitor

Pros
  • Rich and useful user interface
  • Visualize your entire ecosystem: on premise, cloud, and microservices
  • 2,000+ key integrations
  • Rapid API-based monitoring of business
Cons
  • Quote-only pricing

Ratings: 4.3/5 from 600+ customers
Price: Starts at $375 | 14-day free trial available

LogicMonitor is a cloud-based monitoring platform that provides granular visibility into resources, applications, and services across infrastructure on-premises and in the cloud.

It is equipped with all advanced AIOps features, such as dynamic topology mapping, anomaly detection, root cause analysis, and robust alerting. It also features intelligent data forecasting and visualization tools to deliver proactive solutions and forward-thinking recommendations.

It supports API-based monitoring of Azure, AWS, GCP environments, and business-critical applications, such as Zoom, Salesforce, and Office 365.

Overall, if your systems are geographically distributed and all your sites are connected via the Internet, then it’s difficult to find a solution better than LogicMonitor.

3. PagerDuty

Pros
  • Pefect for alerting and monitoring
  • Integrates with hundreds of applications
  • Automate workflows at a click of a button
  • API access for extra customized setup
Cons
  • UI and reporting dashboard can be improved

Ratings: 4.3/5 from 1,000+ customers
Price: Starts at $20 per user per month per CPU core | 14-day free trial available

PagerDuty give you real-time visibility into your applications and services. It uses machine learning methods to detect critical issues that can negatively impact your business. Once the issue is detected, it helps you engage the right people to reduce the resolution time.

While the platform is known for on-call management and incident response, it does much more than providing a 360-degree view of your business. It makes sure that each member of your team stays in the loop regarding IT infrastructure status.

PagerDuty helps you enhance your operations by creating prescriptive analytics that provides valuable insights into products and services and the team’s performance.

The platform is used by thousands of organizations and companies, from startups to Fortune 500.

2. AppDynamics

Pros
  • Helps you pinpoint application issues on the spot
  • Visualize every component of your infrastructure
  • Quickly resolve issues with any SaaS, DNS or third-party provider
Cons
  • UI can be confusing for beginners
  • Can get pricey for enterprises

Ratings: 4.2/5 from 1,100+ customers
Price: Premium edition starts at $60 per month per CPU core | Free trial available

AppDynamics focuses on managing the performance and availability of apps and services across cloud infrastructure as well as inside the data center. It gives you the ability to monitor every application, network, API, ISP, and third-party service critical to your business outcomes.

It gives you detailed insights into modules that make up your application ecosystem and lets you visualize how they depend on one another. You can optimize your application environment with a large ecosystem of interconnected technology partnerships.

With AppDynamics, you will be able to spot applications issues and locate root causes problems in real-time, from third-party APIs down to code-level issues. It also gives you an option to secure your applications from the inside out.

1. Dynatrace

Pros
  • Great user-friendly and intuitive interface
  • Infrastructure and digital experience monitoring
  • Create custom synthetic monitoring workflows
  • Automatic root-cause fault-tree analysis
Cons
  • Limited schedules for reporting
  • Relatively expensive

Ratings: 4.4/5 from 2,800+ customers
Price: Full-stack monitoring starts at $69 per month for 8 GB per host

Dynatrace leverages unified AIOps at its core to simplify cloud operations, automate developers’ workflow, and integrate with all major cloud technologies.

The platform contains several tools to monitor applications and provide automated problem remediation. For example,

  • OneAgent monitors all types of entities, including applications, services, databases, and servers.
  • Smartscape delivers a quick visualization of all topological dependencies in the infrastructure
  • PurePath automatically captures and analyzes transactions end-to-end across every tier of the application technology stack
  • Davis is an AI engine that processes billions of dependencies to serve up precise answers.

Overall, the platform simplifies cloud complexity and speeds up cloud migration and digital transformation to meet organization demand. It is well suited for large businesses where extensive monitoring has to be performed on a daily basis for mission-critical applications.

Read: 11 Best Root Cause Analysis Tools and Templates

Other Equally Good AIOps Platforms

Opsgenie

Price: Basic alerting and on-call management costs $9 per month | 14-day free trial available

Opsgenie ensures critical incidents are never missed and appropriate actions are taken by the right people as soon as possible. The platform gives insights into areas of improvement as well.

Opsgenie monitors everything related to incidents and alerts. You can use its advanced reporting system to find out where the alerts are coming from, how’s your team resolving those issues, and how on-call workloads are distributed.

It integrates with over 200 well-known IT service management and collaboration tools.

New Relic

Price: Basic features are free for one user | $99 per month per extra user

New Relic is a massively scalable observability platform that gathers and contextualizes operational data from all sources. It lets you monitor distributed applications, services, and serverless functions, no matter where or how they are developed.

Using machine learning-powered analytics, you can understand what’s actually happening in your infrastructure, cloud resources, and containers.

New Relic proactively detects and describes anomalies, prioritizing the issues that matter most. It also gives you full visibility into the performance of your digital customer experiences.

Zenoss

Price: Depends on your project/data size | Free trial available

Zenoss combines full-stack monitoring with analytics powered by machine learning. It processes all types of data including events, logs, dependency data, streaming data, and metrics, and provides valuable insights to solve problems.

It shows the performance status and state of all applications and systems at any point in time. You can even leverage real-time models and predictive analytics to understand all dependencies and identify issues before they lead to downtime or service degradation.

Zenoss serves some of the world-class companies and organizations, including HBO, NASA, NYU, Rackspace, General Dynamics, and SiriusXM

ScienceLogic

Price: Starts at $25,000 per feature, as a one-time payment.

ScienceLogic offers IT management and monitoring solutions for cloud computing and IT operations. It allows you to discover all modules within your enterprise store their data in a structured way. The data can then be used to understand relationships among applications and services.

You can correlate events and anomalies within a business service context to find the source of the problem. ScienceLogic automatically keeps your database up to date so you can resolve incidents faster and automate additional workflows.

The platform monitors both on-premises and cloud-based IT assets. This means customers who are using public cloud services, such as Microsoft Azure or AWS, can easily manage hybrid and multi-cloud workloads.

Read: 13 Best Data Science Tools

Frequently Asked Questions

What are the characteristics of a good AIOps platform?

A good AIOps software must

  • Leverage artificial intelligence and machine learning methods to analyze massive amounts of data
  • Process different types of data (both structured and unstructured)
  • Quickly generate and deploy workflows and automation
  • Proactively and reactively detect issues
  • Guide the issue resolution process
  • Integrate with various IT management systems
Why AIOps is becoming more popular?

Modern IT infrastructures contain many different layers of technologies, and there exist an increasingly complex set of dependencies among these technologies. On top of that, IT infrastructure is shared across millions of business applications and services.

Even a minor modification in these applications, services, or the underlying infrastructure can lead to complex disruption beyond the point where humans can analyze how different components are related. We need a machine to do this for us.

That’s where AIOps platforms come in handy. They collect a variety of data (from various IT operations, tools, and devices) and use advanced algorithms to identify and react to issues in real-time while still offering conventional analytics.

Each platform is designed in a unique way, so that can offer features best suited to manage the complexity and scale of the digital transformation of businesses.

Read: 13 Best Market Research Tools You Must Use

What’s the future of AIOps platforms?

As per the Facts & Factors report, the global AIOps market size is expected to grow from $11 billion in 2020 to $31.8 billion in 2026, at an annual CAGR of 19.3% during the forecast period.

The factors propelling the market growth include the increasing complexities in the IT infrastructure, wide adoption of cloud-based services, and an ever-growing demand for predictive analysis. Since North America will invest heavily in R&D activities during 2020-2026, it is expected to have the largest AIOps market size.

Written by
Varun Kumar

Varun Kumar is a professional science and technology journalist and a big fan of AI, machines, and space exploration. He received a Master's degree in computer science from GGSIPU University. To find out about his latest projects, feel free to directly email him at [email protected] 

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