Artificial Intelligence

Top 10 AIOps Platforms that can Help You Better Handle Data

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Identifying goals is a must before buying a tool, as AIOps needs thorough planning and skilful implementation

AIOps are AI-enabled IT monitoring tools which are primarily designed to predict and analyse unusual events, to prevent unexpected breakdowns of the company's software infrastructure. Usually, zillions of bytes of information are analysed on a day-to-day basis to estimate the exact requirements of the processes, making it possible to calculate the exact price of an operation. The market is flooded with AIOps tools, which can offer immediate succour to the more urgent IT problems. Experts advise IT, engineers, to weigh on parameters such as charting out specific needs of the organization and identifying AIOps goals, as AIOps needs thorough planning and skilful implementation. Here, we provide you with the top 10 AIOps tools available in the market, for primary reading and comparison.

1. Logic Monitor: The only hybrid infrastructure monitor, a cloud-based solution for detecting the glitches in advance. It is a versatile platform for IT operations, as it hosts all the tools in one place, making the data processing job easy. It is a smart tool that can predict anomalies before damage can occur. It correlates data automatically to find the source and enhanced MTTR (mean time to recovery or mean time to restore).

2. Splunk: It catalogues the events using graphics with a deep indexing tool, apart from gathering log files, reporting for tracking performance, and identifying anomalies. It can anticipate problems and identify their source, all at one dashboard. That means it is an automated machine learning tool which does not demand additional training on part of machine learning engineers.

3. Moogsoft: IT operations are often overburdened with overlapped functions and applications. Moogsoft comes in handy exactly in such scenarios. It can integrate seamlessly with major performance monitoring tools such as Datadog, AWS Cloudwatch, AppDynamics, etc and declutter the duplicated events. By reducing noise with the help of clustering algorithms and historical records, it helps generate clear reports.

4. IBM Watson Cloud Pak for AIOps: A platform, designed with explainable artificial intelligence, spanning across the IT operations toolchain, for decision-makers to handle incidence response efficiently. With its explainable AI, diagnostics become easy with transparent reasoning. IBM Watson Cloud Pak helps find rare insights, and directly deliver them into the tools the teams are already using.

5. Dynatrace: It is an all-purpose AIOps tool which lets you manage data management tasks through one interface. A cloud-native application, which can be seamlessly integrated across all your cloud applications and automate DevSecOps effortlessly. It is capable of generating real-time alerts and performing synthetic monitoring of online or cloud-based apps, that too at all levels of applications. Identifying problem regions is pretty much easy with its excellent visualisation features.

6. Grok: A highly scalable AIOps platform is capable of providing solutions to the most difficult problems within minutes. It fares much better than many other AIOp platforms in bypassing operational tasks. Grok uses traditional ML, along with the HTM engine which is known for its capability in detecting context-specific anomalies, even in the signals which lie beyond the threshold level.

7. Netreo: With Netreo it is pretty easy to observe the activity across the apps and the root cause analysis helps in zeroing in on the problem, immediately. It effectively sets up the RCA through its insight visualisation, alert features and device activity logs, which in turn cut down incident tickets whenever the device is down. It can analyse a vast amount of data gathered over years to provide near-accurate decisions.

8. Instana: It is a fully automated full-stack AIops with context-based observability to help decision-makers take accurate decisions and enhance application performance. It is known for its performance in areas like automated profiling, service, app monitoring, etc. It is an easy to install tool, taking just one file to be configured and comes with a simple, and interesting user interface

9. New Relic One: A leading observability tool which has amazing features like multiple cloud support, simple installation process, GUI, documentation, etc. Its service map lets users keep track of the server-to-server communication easily. Monitor events, logs, traces, and metrics in one secure cloud, and debug directly from the IDE.

10. Pager Duty: Pager Duty is an AIOps tool known for higher uptime, very much required to have better operations. It monitors, analyses, and provides automated incident alerts delivered as e-mails, SMSs, and voice messages as back-ups enabled by its smart operational analytics. Its auditing powers include letting the users know who did what and when.

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