How AIOps Helps in Application Monitoring

There’s no one-size-fits-all approach regarding application monitoring, especially for companies using applications in various cloud environments. Companies are rapidly investing in microservices, mobile apps, data science programs, data ops, etc. Subsequently, they’re also integrating monitoring tools to improve domain-centric monitoring abilities.

AIOps tools help streamline the use of monitoring applications. It allows companies that need high application services to efficiently manage the complexities of IT workflows and monitoring tools. AIOps extends machine learning and automation abilities to IT operations. These robust technologies aim to detect vulnerabilities and issues to resolve them, determine operational trends, and simplify the remediation of the problems that affect their applications’ performance and availability.

Common Use Cases for Observability With AIOps

“We can't build tomorrow using yesterday's tools.” - Scott McDonald

IT infrastructures have been evolving constantly and rapidly, along with Big Data. Businesses worldwide are moving from predictable and static physical systems to intuitive software resources that can reconfigure and adapt based on consumer behaviours.

How to Debug Microservices in the Cloud

The growth in information architecture has urged many IT technologies to adopt cloud services and grow over time. Microservices have been the frontrunner in this regard and have grown exponentially in their popularity for designing diverse applications to be independently deployable services.

Trivia: In a survey by O'Reilly, over 50% of respondents said that more than 50% of new development in their organisation utilise microservices.