Can you share the impact of AIOps transformation in your industry?
Share
Lost your password? Please enter your email address. You will receive a link and will create a new password via email.
Can you share the impact of AIOps transformation in your industry?
To transform to the digital era, IT operations needed flexible handlers to automate and orchestrate operations – some Customers use APIs while others use more operations centric DevOps tools like Ansible, Puppet, Cloudformation (for AWS) and the likes. Though this provided agility and flexibility, these also introduced additional complexity owing to the plethora of options available in the market. DevOps is a practice that means different tools for different organizations.
The need of the hour is solving these complex challenges with infrastructure solutions that not only helps them orchestrate but also helps in decision making, not that intelligence was not built-in already; however with AIOps tools like Splunk, MoongSoft and propeitory vendor solutions Customers can transform digital operations from working in silos to centralized soliutions that are not only agile but self-healing too solving complex infrastructure issues today.
Ashish Jaiswal
In the AIOps platform market, the platforms segment is expected to account for the largest market share. AIOps platform encompasses a combination of various AI strategies including data output, aggregation, analytics, algorithms, automation and orchestration, ML, and visualization. These platforms enable the use of multiple sources of data, data collection methods, and analytical and presentation technologies. The platform provides multiple IT operations disciplines with advanced analytical capabilities directly and indirectly. The platform is centralized and flexible, and helps to deliver data insights continuously provided by automated algorithmic ML capability analyzing unprecedented amounts of data. To use these technologies, AIOps platforms contain multiple layers that address different functionalities, such as data collection and storage, analytical tools, visualization, and integrations with other applications and services.