Congratulations, you have a successful business that provides a desirable product or service to the market. The business model has worked well for years, but there is a negative trend with revenue declining and new competitors taking big bytes of your market share. What are they doing that your business is not?
Technology is being leveraged as a differentiator to build new feature-rich services faster, lower costs of delivery, and provide new channels for consumers to access your products and services.
The companies that will remain relevant are going through digital transformations out of necessity. A wide spectrum of maturity exists as organizations embark upon this monumental transformation.
New services are being built with cloud native architectures while the legacy business services struggle to follow along. This results in the complex operational challenge to manage the new and the old while trying to adapt internal processes and procedures.
As the digital transformation matures and legacy architectures diminish, questions arise on what is the right way to monitor and manage this new architecture.
AIOps is the accelerant to help overcome obstacles and achieve the digital transformation to a cloud native architecture.
Does a cloud-native architecture negate the need for AIOps? The benefits of cloud native architectures includes features to adapt and ensure optimal application delivery. With elastic computing, load balancing, stateless applications, eliminating configuration drift, and highly available secure environments what could go wrong?
All of those cloud-based capabilities are game changers and provide the path for the successful digital transformations. Do you still need AIOps as part of this strategy?
Each stage of maturity has its own set of operational challenges to overcome in the move to digitization. AIOps is the accelerant to help overcome obstacles and achieve the digital transformation to a cloud-native architecture.
Your company has made progress moving portions of the compute into the cloud, but most of the business critical services are still in the data center. Your monitoring team has now increased the ecosystem to include legacy on-premise and emerging cloud-based toolsets. The operational workload from the additional events and tickets has increased significantly.
Moogsoft AIOps can help mitigate the risk of this move. The old and the new operational data will be groomed through algorithmic noise reduction and alert correlation to keep focus on what is impacting the business services.
Move Critical Business Services
The competition is heating up and the business executives realize they need to move faster. New services with innovative capabilities and new delivery methods are at the forefront of their minds. The only way to accomplish this is to accelerate the move to cloud.
Legacy applications are migrated into cloud compute models. There are immediate tangible benefits to this move such as cost reduction, faster provisioning, and redundancy. Unfortunately, the same application design issues that caused impacts in the on-premise architecture still surface in the cloud environment. It has become harder to troubleshoot due to the fast rate of change of the cloud resources and lack of tribal knowledge of the operations team. Due to the urgency in moving the applications to the cloud, the monitoring is not mature as it was with the on-premise environment. The operations teams struggle to make sense of all this new data and information.
Moogsoft AIOps can help enable the transition while ensuring optimal service delivery to end customers. Human knowledge and processing is not sufficient in these new modern architectures. The patented Moogsoft technology consumes very large data sets and surfaces meaningful situations with collaborative workflows.
Microservices and Application Redesign
If the real benefits of the cloud are going to be realized, the key business-critical applications need to be redesigned for cloud native architectures. Along with this redesign, microservices and new monitoring comes into play. DevOps is starting to become a reality for the organization.
A proliferation of new teams get organized around various microservices. These fast-moving teams begin to implement monitoring with different monitoring standards. The result is a flood of new alerts coming into operations with varying message formats and threshold types. The overwhelming amounts of data being generated now becomes an inhibitor as operations pleads for relief.
Moogsoft AIOps is an accelerant to keep the digital transformation moving full steam ahead. As new microservices and DevOps teams come into existence, this can create a heavy tax on IT operations. Moogsoft AIOps helps to eliminate this tax by reducing noise and allow for cross-domain event correlation, collaborative workflows, and knowledge recycle, as well as integrating into other critical systems for automation and remediation.
The Relevancy of AIOps
No matter the level of maturity of the digital transformation, AIOps is very relevant. The earlier in the process it gets implemented the easier the transformation will go. Each stage of maturity carries along with it more data and more variability to the types of data delivered to operations. The rate of change of the infrastructure wipes away the ability for any human to keep up with tribal knowledge and the mental registrar.
Although the business is more nimble, there is great risk in service quality to the end user and the reputation of the company. The scale needs to be balanced between the speed to digitalization and modernization of operational workflows. Speeding forward without having AIOps workflows intact is a recipe for disaster.
About the author Craig Yenni
Craig Yenni is a Strategic Architect at Moogsoft, focused on the joint success of channels and alliances. He has been engaged in technology for over 20 years. This journey has taken him down the path to application development, operations, architecture, engineering, sales, and consulting.