IT leaders are enthusiastic about applying AI to IT operations
How can IT operations teams solve performance issues in complex IT environments while ensuring operational resilience and uptime?
IT estates today can be made up of public, private and hybrid cloud infrastructure alongside microservices and third-party integrations. While the developments of the infrastructure have made it easier for IT staff to scale quickly, large organisations with complex IT estates are facing significant challenges when it comes to managing large amounts of data.
As data volumes grow and systems become more complicated it is becoming more difficult to detect or predict complex failure conditions which can impact operational resilience and uptime. An effective software solution can tell you how your systems are performing, where it needs to be fixed and how your customers and your business is impacted. At ITRS. we have solutions to help manage AIOps.
How CIOs are asing AIOps to transform the traditional IT operations model
CIOs are on a digital transformation journey that if successful, could revolutionise their entire business model. Delivering resilient customer experiences, mitigating business services impact and extracting operational efficiencies have challenged CIOs to find trusted solutions that can move them along their digital transformation and towards organisational agility.
There has been some uncertainty with AIOps because some believe they need multiple tools to manage their systems, but CIOs are finding this is not the case. AIOps for the CIO can provide direction that creates and implements policies and procedures necessary to drive automation in their organisation which is the end goal of AIOps.
CIOs are developing strategies unifying software technology bringing IT silos together with shared data and common insights. AIOps can solve critical problems and provide excellent ROI for internal operations with minimal effort. CIOs are realising their investment in AIOps can lead to lasting value and customer advocacy in the long term.
IT operations and AIOps
AIOps has two main components, big data and machine learning. It requires moving away from siloed IT data in order to aggregate observational data normally found in monitoring systems alongside engagement data usually found in ticket, incident and event recording normally found in a big data platform. With the right software solution AIOps should implement analytics and machine learning against the combined IT data. The outcome should be continuous insights that can provide improvements with the implementation of automation. Tracking and managing this complexity using manual processes is no longer possible. With IT environments including systems such as managed cloud, unmanaged cloud, third party services, SaaS integrations, mobile and more is already beyond the scope of manual management and will only get worse in the coming years. The promise of artificial intelligence has been to do what humans can do manually but do it better, faster and at scale. AIOps will provide the automation needed by IT Operations by addressing the speed, scale and complexity challenges of digital transformation.
At ITRS, we have AIOps based solutions that can help
Predictive analytics and operational intelligence
In today’s complex, dynamic and heavily virtualised IT environments, it is increasingly difficult to maintain an accurate picture of your infrastructure, keeping it aligned and optimised to changing business needs.
Achieving visibility across your estate of resource demand is a challenge and without it, it is impossible to accurately predict how much more or less infrastructure you are going to need for the future.
ITRS has the only SaaS product on the market that lets you accurately assess your future IT infrastructure options and select the right way forward with confidence. Its powerful forward-thinking scenario modelling lets you evaluate and communicate your plans providing advanced predictive analytics and operational intelligence for your hybrid IT.
Seamless scaling, load balancing, high availability and redundancy
While anomaly detection has helped separate the useful information from excess data, the algorithms may not be smart enough to provide context, helping you figure out the best way to resolve an issue as fast as possible and when the time is of the essence you need intelligent, insightful solutions to big data problems. ITRS can provide you a fully transparent overview of your logs, their analysis and reporting at any scale. We can provide an immediate response to the needs of efficient processing and analysis of data. The flexible architecture ensures seamless scaling, load balancing, high availability and geographical redundancy.
Handle high volumes of data at low latencies
ITRS can help collect information from multiple sources including third-party applications. We can handle high volumes at low latencies providing technical and business metrics including the real-time status of connections. Alerts can be sent via email or SMS or can be streamed to prompt automated remediation processes and start-ups.