As the IT landscape continues to rapidly evolve, companies are increasingly looking for ways to optimize their IT operations and stay ahead of the competition. This is where Artificial Intelligence Operations, or AIOps, comes into play.
What is AIOps?
AIOps is a category of machine learning analytics technology that enhances IT operations analytics by automating tasks such as performance monitoring and event correlations. Its goal is to provide continuous insights that enable IT transformation through automation, making it a critical component of continuous integration/continuous delivery (CI/CD) for core IT functions.
In this post, we will explore the top AIOps providers and how they are revolutionizing the way organizations approach IT operations.
Why and where to use AIOps?
Before exploring the top AIOps providers, let us understand why AIOps is important and where you can use it.
As cloud adoption grows, AIOps becomes more necessary to optimize IT operations. AIOps platforms recognize patterns, learn, and improve their approach to detecting IT problems. They also take action on the infrastructure problems they detect. AIOps can improve cloud security by predicting and avoiding attacks on cloud frameworks and can automate security event management.
AIOps is primarily used in companies that utilize DevOps or cloud computing and in large, complex enterprises to provide additional insight into the IT environment and remove risks involved in hybrid cloud platforms. It aids teams by automating processes, recognizing problems earlier, and improving communication between teams.
AIOps can benefit any large company with an extensive or complicated IT environment. AIOps can also be used for fraud detection and can automate the monitoring and categorization of data based on specific rules and categories.
Top 5 AIOps providers
AIOps platforms are designed to integrate with a variety of other IT-focused tools, including monitoring, incident management, service desk, and log analysis solutions. In many cases, AIOps tools will even incorporate these functionalities directly into the platform to create a consolidated troubleshooting resource.
AIOps platform will:
- leverage AI and/or machine learning to analyze large volumes of data,
- monitor and analyze data from several different types of systems, proactively and reactively identifying issues as they arise,
- guide the issue resolution process and help teams to resolve problems more quickly and efficiently, and
- integrate with a variety of IT systems, allowing for seamless collaboration across different tools and platforms.
Here are the top five easy-to-use AIOps tools you can check out.
1. Instana
Instana’s Enterprise Observability Platform is an automated Application Performance Monitoring solution that automatically detects and maps all services, infrastructure, and their inter-dependencies.
The platform collects all observability metrics, traces every request, profiles every process, and updates application dependency maps in real time, providing Dev+Ops teams with actionable feedback to optimize application performance, enable innovation, and reduce risk.
With Instana, teams can streamline their pipelines, increase efficiency, and add value to their applications.
2. BigPanda
BigPanda utilizes AIOps to provide Event Correlation and Automation that assists operations teams in detecting, responding, and resolving IT incidents quickly and effortlessly.
BigPanda uses AIOps to translate IT data into incident insights and actions, ensuring that digital services are always operational. Its platform can receive alerts from any monitoring system that an organization uses, past and present, and enhance them with topology data that offers critical contextual information.
This results in efficient event correlation that enables IT Operations teams to identify significant incidents in real-time, often before they are reported by users.
Additionally, BigPanda also incorporates change data and aligns it to recognize problematic changes in the environment that cause incidents.
It also streamlines the incident management process by automating key steps like creating tickets and running runbook automation, leading to faster remediation and reduced Mean Time To Repair (MTTR).
3. LogicMonitor
LM Envision is a software-as-a-service unified observability platform that allows modern digital enterprises to implement a cloud-ready operating model to meet crucial business requirements.
It delivers transparency across hybrid enterprise IT, encourages various IT and development teams to collaborate and tackle intricate problems, and empowers IT to innovate quickly while enhancing operational efficiency in delivering crucial IT services.
LogicMonitor’s Early Warning System detects the warning signs and symptoms that come before issues. By utilizing AI and machine learning, the system can identify patterns and anomalies in alerts or performance data, providing context and meaningful insights.
The system can then trigger actions, such as integrations and custom scripts, to prevent the occurrence of the issue. By warning users sooner, enterprises can save time and money, and prevent any negative impact on their reputation.
4. AppDynamics
AppDynamics, a technology company backed by Cisco, helps businesses view their technology from a business perspective so they can collaborate to prioritize the most important tasks.
The AppDynamics Platform offers several functions including the ability to:
- Connect performance metrics with business results.
- Deliver consistent user experiences.
- Ensure high-quality software delivery through application performance monitoring (APM).
- Monitor and manage both on-premise and cloud-based environments.
- Identify performance issues across third-party networks and SaaS.
- Automate and continually adjust application security.
5. Dynatrace
Dynatrace’s goal is to optimize software performance. The platform merges comprehensive observability, continuous application security, and advanced AIOps to provide valuable insights and intelligent automation from data.
Dynatrace empowers users to innovate at a faster pace with higher quality, by automating DevOps pipelines to create better software quicker, thus freeing up time for innovation.
The platform also facilitates efficient and secure operations by providing precise, AI-powered answers that predict and resolve issues before they affect users.
Additionally, it helps businesses improve customer experience and increase revenue by gaining a deeper understanding of customer interactions and optimizing them.
In conclusion, AIOps offers a multitude of benefits to organizations, including the ability to aggregate multiple monitoring tools into one platform, manage alerts effectively, and predict and prevent future issues. AIOps is being adopted broadly by organizations looking to improve their IT operations and deliver a better experience to their users. We encourage you to explore these AIOps platforms and see how they can help you enhance your IT operations and drive better business outcomes.
