Today’s IT organizations manage extremely complex and extensive infrastructures, which typically include hybrid of private and public clouds as well as legacy on-premises architecture. IT leaders are thriving to serve the industries with expanded infrastructure and application solutions.
Artificial Intelligence for IT Operations helps businesses gain an edge on the potential of Artificial intelligence and related technologies such as Machine Learning and Natural Processing Language (NPL) for IT Ops tasks and activities.
What is AIOps?
AIOps works by automating the process of analyzing IT data and observing logs so IT Ops, DevOps, and SRE teams can detect digital-service disruptions earlier and resolve them immediately before they impact business operations and customers.
AIOps empowers Ops teams to handle the massive amount of data generated by their modern IT framework, preventing downtime and leaks, ensuring uptime, and achieving continuous service assurance.
AIOps connects big data with ML to generate predictive consequences that assist in faster root-cause analysis (RCA) and boost up the mean time to repair (MTTR).
Capabilities of AIOps
The core elements and utility of AIOps provide DevOps, SRE, and ITOps teams with the agility they need to identify potential issues at an early stage, ensuring uptime and offering an optimal user experience. It is difficult for Ops teams to perform these tasks manually due to repetitive activities, and difficult rule-based approaches.
The capabilities of AIOps include-
Noise Reduction – AIOps reduces the noisy instances from big data helping developers to focus on core data functions. This decreases the time required to detect and solve concerns, as well as the number of disruptions that negatively impact organization’s workflow.
Correlation of Data – By correlating the data across multiple mediums, AIOps provides a holistic approach toward data and contextualize the vision for infrastructure, network, storage, and application for on-premises cloud organizations.
Collaboration across the Team- AIOps provides seamless collaboration between multiple specialists and experts to provide a visionary approach to potential outages and downtime of various resources.
Automating Recurring Tasks – The operations team can work efficiently by automating recurring tasks. AIOps team can streamline workflows through knowledge recycling and root-cause identification.
How does AIOps work?
AIOps works on a vast amount of data collected by hybrid cloud infrastructure over AI and ML implementations. It works in a pipeline to process the data in a manageable format. The typical pipeline of the data operation is –
Data Collection and Monitoring – The data is collected and filtered to monitor the baseline data. This helps the Ops team identify the leak holes in data functionalities.
Analyze and Optimize – The data is then analyzed by data learning techniques to identify and predict the infrastructural patterns. This prediction analysis can predict the structural failures and identify the actionable recommendations to avoid outages.
Recommendations – At last, the necessary actions are recommended to the team to avoid downtime and keep the workflow streamlined.
How does Alibaba Cloud Supports AIOps?
Alibaba Cloud is capable to support the notion of AIOps and provide users with the features of easy data processing, service diagnosis, and prevention from resource fluctuations. It offers features based on Kubernetes best practices and troubleshoots possible concerns, suggesting the most effective techniques to avoid data inconsistencies.
Alibaba Cloud Log Service is a fully featured cognitive log management platform that helps you to adopt AIOps in your organization. Log Service allows you to gather, store, analyze, evaluate, and interpret your logs on a single SaaS platform, with intelligent predictions powered by AI techniques, saving your troubleshooting time.
The solutions offered by Alibaba Cloud to support AIOps are-
- Fully Managed Log Management
- AI Patrol
- Flexible Alert Management
- Multi-Source Data Storage
- Aggregated Data Analytics
- Full-Link Data Traceability
Discover how Click2Cloud can help you achieve better operational management system
Click2Cloud offers a several products and services that supports the concept of AIOps. It assists you to deliver proactive continues data connectivity without any failures and outage. It offers Artificial Intelligence and machine learning techniques to solve Operational problems and provides industry-specific data driven solutions.
Integrated with Alibaba Cloud AIOps solutions, Click2Cloud can help you transform your data workloads and provide you seamless data delivery by analyzing data patterns and recommending best practices to avoid outage.
The solutions can help to reduce operational cost, downtime issues, and improve system efficiency and seamless operations within the entire organization. Clicl2Cloud accelerate operational management by providing both on-premise and cloud data monitoring solutions by integrating with Alibaba migration projects leading to exceptional experience with data transaction.
Conclusion
Alibaba Cloud Log Service accelerate organizations operations by providing seamless data solutions, improved data insights and data behavior predictions based of data patterns.
Merge with Alibaba Cloud AIOps solutions to collect, store, analyze and visualize your log data and save troubleshooting time by predicting data fluctuations and integrating recommended solutions.
