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November 26
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Paving the Path to AIOps
Whether you’ve already shifted to the cloud or preparing to, managing both legacy and modern applications and infrastructure is a challenge that must be addressed.
The pandemic has pushed workforces into a remote posture and sparked a rise in cloud migration. In fact, Gartner says that, while 10% of enterprises maintain a traditional on-premises infrastructure today, by 2025 80% will have migrated entirely to a cloud or hybrid approach. And while that seems like a dramatic shift, 80% of companies have already adopted a multi-cloud IT strategy at some level.
Whether you are among the 41% of enterprises Gartner says have already invested in hybrid infrastructure and are already well down the path to cloud migration, or if you’re preparing to embark on that journey, successfully managing both legacy and modern applications and infrastructure is a challenge that must be addressed. That is the issue tackled in the latest ScienceLogic webinar, ”Paving the Path to AIOps,” with Raj Patnam, Vice President of Global Solutions, ScienceLogic.
Challenges of IT Complexity
During the webinar, Raj addresses four key areas of concern to deliver stellar customer and employee experiences, even for today’s modern, complex, and constantly evolving environments, including:
- Shifting from device-centric to service-centric monitoring.
- Monitoring infrastructure performance across a mix of legacy, modern, and hybrid cloud environments.
- Understanding application infrastructure impact on business services.
- Accelerating root cause analysis to improve customer and employee experiences.
It’s important to point out that, while the pace of cloud migration and IT transformation has picked up over the last year, the challenges involved with monitoring and managing today’s IT infrastructures were not brought on by the pandemic.
Well before 2020 and the onset of Covid-19, technology was the foundation for working, shopping, learning, and providing commercial and governmental services in the modern, digital age. The demands involved in supporting collaboration, communication, and innovation have been driving cloud growth and adoption for many years.
When organizations go to the cloud, they do so because they want the agility and on-demand capacity to handle cloud-bursts, spin up new services, augment their staff capability, and manage operational costs. But if you are like most organizations, even if you’ve fully committed to the cloud, you are still going to have about 20% of your IT estate on-premises, even if only to accommodate the various data privacy and security regulations. That means you’ll need to plan for at least a decade of flexibility for monitoring and managing systems and workloads across all of these IT environments. That includes across Azure, AWS, and Google infrastructure; platforms as a service, SaaS applications, managed services, virtual systems, and whatever new and legacy hardware you’re running on-premises.
When we talk to our customers today, there are three major areas that we’re looking across. These are the data center, managed cloud environments, and public cloud resources. To unify, monitor, and manage all these areas and their disparate components takes three foundational steps:
- Monitor the entire IT estate.
- Map application and infrastructure relationships.
- Compose business services.
- Header: The Solution to IT Complexity
The Solution to IT Complexity
The only way you can truly accomplish all these steps is with AIOps, and the platform that is widely acknowledged as the leader in that category is the ScienceLogic SL1 platform. SL1 allows you to monitoring all the technologies in your IT estate, has the speed to keep up with changes in real-time, and is engineered with the intelligence required to provide the analytics necessary to enable automation.
Over the course of the webinar, Raj walks through each step, detailing the process based a deep, “how-to” understanding of real-world implementations that have helped CIOs manage some of the world’s largest, most complex IT environments. Impressive results include achieving a 40% reduction in mean-time-to-repair and resolution (MTTR), and a consolidation of 15 different tools from six different vendors into a single, simple platform. These improvements result in maximal health, availability, and reliability for their technology investments on behalf of the customers and users who rely on them.
Chances are you’ll recognize many of the challenges you face in managing your own enterprise during the course of ”Paving the Path to AIOps.” When you do, you’ll be relieved to know that there is a way to overcome those challenges by following the path to AIOps.