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If generative AI is innovative for enterprises in 2023, being cloud-based is ubiquitous. What that means is that the data today is extremely voluminous and complex. Not to mention that all that data needs proactive monitoring and analysis. Thus, data in observability and monitoring can often be complex and challenging to understand due to its sheer volume and diversity.
Observability is a critical aspect of modern software development and infrastructure management. It involves the ability to gain insights into the internal workings of your systems, applications, and services through monitoring and collecting relevant data. With the increasing complexity of technology stacks and the need for real-time visibility, observability has become a fundamental requirement for businesses across various industries.
Virtana’s AI-powered platform is at the forefront of IT infrastructure management, offering a comprehensive suite of tools and services that empower IT leaders to make informed decisions on how to forecast demand and streamline operations. The rapid evolution of technology has ushered in an era of complexity and dynamism that IT leaders must navigate effectively.
In today’s world of relentless data growth, security-relevant logs represent a small snapshot of an organization’s overall environment. Teams are beset with a variety of data types, including performance metrics and traces, asset configuration and state, audit logs, and much more. On top of that, teams are expected to scan all of this to compare against industry best practices and join this data with logs and metrics for added context.
