The new AI-driven IT Operations (AIOps) and AI-driven Service Management (AISM) capabilities for the BMC Helix portfolio were introduced by BMC, a leader in software solutions for the Autonomous Digital Enterprise. These capabilities help IT service and operations teams anticipate problems more accurately, address them more quickly, and offer always-on service. The new BMC Helix Platform, which offers open, cross-domain engagement, observability, and actionability, powers these features.
The cloud-native, fully integrated, observability, and AIOps system BMC Helix Operations Management is made to handle hybrid-cloud setups. Adopt a service-centric approach for observability data for AIOps that are indeed successful. It incorporates third-party observability data into a common IT data store, including metrics, events logs, incidents, and modifications. Dynamic business service models that are automatically produced can be used to assess service health and achieve root cause separation. To produce situations that can be taken action in, increase the signal-to-noise ratio using AI event suppression, deduplication, and correlation.
What is AIOPs?
AIOps, also known as artificial intelligence for IT operations, is a method of overseeing complicated IT operations that improves service availability and delivery. AIOps is based on multi-layered technological platforms that use AI, predictive analytics, and machine learning to automate, enhance, and better IT processes.
Big data is essential to the success of AIOps. AIOps systems can perform the following by gathering, digesting, and evaluating data from the full range of IT operations tools:
- Improvements to standard analytics capabilities
- Real-time faults can be detected and addressed automatically
- Proactive awareness of prospective difficulties before they materialize
The AIOps solution supports enterprise IT operations on a large scale. In addition to AIOps, AI for ITOps is also called AI operations. Gartner entrancingly defined AIOps with this definition; AIOps combines big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.
The BMC Helix portfolio offers enterprises smooth, complete, unified IT service and operations management solutions with market-leading capabilities that let them:
- Improve communication and visibility among IT service and operations teams to continuously deliver high-performing digital experiences and uninterrupted service
- Work smarter as a result of AI-derived insights that facilitate problem prioritization and proactive problem solving
- Reduce rework and automate laborious manual procedures to increase productivity and efficiency
It is observed that by 2025, 66% of enterprises will use multiple public clouds. 53% of the workload will still be handled on-premise and almost 50% of all IT spending for innovation and transformation. In the current scenario, there are certain challenges and shortcomings that enterprises face. To list a few;
- Explosion of complex data, applications, and dependencies
- Modern and multi-cloud architectures alongside legacy systems
- Faster and more frequent code changes with DevOps adoption
The impact the above challenges have on various IT operations is incontestable. We dived deep into how various leaders face challenges.
As a CIO, it is impossible to achieve or guarantee service delivery SLAs, which makes it challenging to prioritize risk and causes blind spots and a perpetual state of reaction. Losses in revenue from outside sources and political capital within the company are made possible by the inability to promote innovation without disturbing the business. Teams working individually and in opposition to one another across silos are unable to recognize the effects of problems on vital business services immediately.
As a director or manager of IT operations, your inability to proactively detect and fix issues before they arise reinforces the idea that IT is incapable of adapting and changing. Critical, segregated data is not available for analysis since it is difficult to integrate a variety of technologies.
As a Tech/service owner, failure to recognize events before customers are affected leads to low customer satisfaction and a loss of faith in the business. It takes too long to troubleshoot and is unable to be certain of locating the root cause due to the difficulties in recognizing it across an expanding amount of data. Correlating data from various separate solutions is another difficult task.
Solution
Through observability and automation features, the new BMC Helix Platform aids enterprise teams, especially DevOps, in achieving their goals for quality, velocity, and appealing experience. By offering a common user interface with rich visualization that expands visibility and context, facilitates cross-launching from one solution to another, and offers customizable automated workflows to free up resources and swiftly take corrective action, it unites IT service and operations teams. These workflows can be used to automate processes like deploying software that a user has requested or gathering more information about an incident so that it can be better understood. The platform’s dynamic service models that ingest metrics, events, and topologies from BMC and other third-party solutions allow it to serve environments that change quickly and keep them current.
Proactive Problem Management Simplified
The BMC Helix solution significantly reduces investigation time by identifying the root cause and other causal impacts and enables a seamless transition from problem identification to investigation to closure by applying AI-natural language processing to automatically detect clusters of recurring incidents. This feature frees up staff to concentrate on high-value problem areas, lessens the incident management workload, and guards against negative effects on service availability and performance.
Positive outcomes with solutions
- Service health visibility, and empowered teams that work together to promote innovation
- Bring all observability data together and look for the signal in the noise.
- Proactive issue identification, root cause analysis, and automated problem solving
- A competitive and operational advantage comes from “tamed” data
- Seamless management of new and current technologies and systems
- Control and visibility without compromising the rate of innovation
This not only helps in solving every CIO, Director and Service owners’ challenges but also;
- Brings together all of the observability data.
- Displays it in a commercial setting.
- Using such information and the context for automated ai/ml use cases.
- Uses automation to cut down on labour.
- Collaboration across ITops, DevOps, and service management is made possible.
New Technologies for the Autonomous Digital Enterprise
By bringing together clients, partners, and staff members, BMC Innovation Labs expands on these BMC Helix products and speeds up the creation of fresh features and services. The BMC Helix Edge platform, developed in the Innovation Labs, enables companies to manage their IoT/Edge infrastructure and enable subsequent-generation digital business apps for the Autonomous Digital Enterprise by providing enterprise-wide visibility and actionable information.
About the Author:
Prashant Deshpande
Executive Vice President
Prashant heads global delivery of Vyom Labs consisting of various practice units such as BMC and ServiceRize. Prashant has illustrious career over thirty years in information technology and has served at senior executive levels with global companies such as: IBM, BMC, Veritas and Citibank.
Prashant has built, scaled and managed various IT, professional services & product development/support organizations.
His technical expertise is in IT infrastructure management, automation and managed services. He is passionate about business transformation using cognitive technologies such as AI and machine learning.