Utilise a robust and safe platform for your company to develop, innovate, and construct your future.
IBM Z is a series of contemporary infrastructure that runs IBM Z systems software and enterprise operating systems.
As IBM’s flagship enterprise compute platform, IBM Z offers the security, resilience, performance, scalability, and sustainability you would anticipate. IBM Watsonx Code Assistant for Z streamlines and expedites application modernisation using generative AI, and IBM Z16 enables AI inferencing at previously unheard-of speed and scale to help meet the evolving demands of the largest companies globally.
What IBM Z provides
Systems
AI is used by the IBM z16 platform to bring cutting-edge technologies with the best possible security, performance, and availability.
Applications
You can maximise your software investment in security, cloud, AIOps, automation, and other areas with the aid of IBM Z software.
System environments
Mainframes from IBM Z are versatile and can run Linux, z/OS, z/TPF, and z/VM.
Sort by platform compatibility
Synthetic intelligence
Utilise AI and machine learning to turn transactional data into insights in real time with IBM Z.
Cloud hybrid
Increase productivity while delivering innovation by integrating IBM Z into your hybrid cloud.
Modernisation of Mainframe Applications
Utilising generative AI and standardising enterprise-wide procedures, modernise mainframe apps.
Durability
Simplify your energy usage by combining a few x86 tasks into a single IBM Z system.
Safety
Boost security with IBM Z to help shield your company’s data from ransomware and other cyberthreats.
Adaptability
Obtain application availability of up to 8 hours and hasten system recovery.
Development Operations
Utilise DevOps best practices to reduce risk and maximise workload deployment while accelerating the delivery of hybrid cloud solutions of greater quality.
AI Operations
AI on the mainframe can enhance operational resilience, application performance, IT operations, and systems management.
A comprehensive approach to IT operations is crucial for larger IT organisations with increasingly complex and hybrid application environments, which frequently incorporate IBM Z. “How do you effectively sift through terabytes of data in real time to identify an issue before it becomes an outage?” becomes the challenging question. Because of this, businesses are lured to AIOps’ promise of using automation and AI-driven intelligence to make prompt, informed decisions that preserve resilience.
A comprehensive strategy for AIOps
Adopting AIOps in sections or silos won’t work. It necessitates a comprehensive strategy centred on workflows and business processes. The state of each chain link determines how resilient a workflow is. You must have awareness and understanding of the complete workflow if you are to succeed. Upon comprehending that a comprehensive application of AIOps is necessary to fully realise its potential, it becomes evident why excluding the mainframe from the discussion leaves a substantial vacuum. The mainframe is a necessary component of the majority of business-critical activities and must be at the centre of any AIOps solution.
Intelligent tools and procedures that offer hybrid cloud visibility, employ AI and machine learning in an understandable and straightforward manner, and automate timely actions to minimise customer impact are necessary to achieve a comprehensive approach to AIOps.
User-friendly integrated solutions with real-time visibility may speed up root cause analysis, foster teamwork, and provide your company a single, shared reality. This video shows how an integrated IBM Z AIOps solution can help speed up time to value by offering a user-friendly, integrated interface.
Quicken your path to AIOps
IBM has assisted hundreds of companies in improving the way they manage their data centres over the years. IBM has created a framework that can be used as a tool to help you move more quickly towards AIOps in order to make the lessons learnt from these client interactions more consumable.
You need to incorporate a wide range of tactics in order to go through these AIOps stages on the IBM Z architecture more quickly:
Detect: Recognise possible problems as soon as you can, ideally before they cause problems for your company. Three key areas need to be prioritised in order to achieve this: full-stack infrastructure monitoring, end-to-end hybrid cloud application observability, and artificial intelligence anomaly detection.
Decide: Make a decision by quickly isolating the issue and determining the best course of action with deep-domain analytics and root cause analysis. To do this, a variety of techniques and tools are employed, including as capacity management, anomaly correlation, real-time operational analytics, and performance analysis.
Act: Implement chat and more user-friendly dashboards to enhance cooperation and automate tasks. In order to lessen the need for manual intervention and provide an integrated automation solution throughout your hybrid cloud infrastructure, this entails implementing intelligent automation, predictive workload automation, storage automation, and resiliency measures.
Evaluate your current position in the AIOps process
Every customer’s path to AIOps is slightly different, and the trip is incremental. Regardless of where you are in the process of moving towards AIOps, you can get real business value by unlocking the potential of data, streamlining operations for increased efficiency, and using an integrated hybrid approach supported by AI.
