Why is DAI the Solution to the Break-Fix Loop?

DAI is a leader in both Analytics and IT Ops processes. To us, system logs are just another kind of data and can be approached the same way as business data.  For decades IT shops have created silos for systems management, logging, and support processes, but they were disconnected from the data and analytics capabilities of the enterprise. These silos later became cloud monitoring. The look was new but they still carried the same fatal flaw. They were disconnected from the enterprise data. To break the break-fix loop, we apply AI-Enabled tools on top of monitoring data. We use AI to filter noisy data and narrow it down to a data set called an application context that fuels human decisions. By combining AI with Cloud Automation, DAI helps customers understand their data, and reduce the time required to run application platforms.

Using Textbooks & Practical Experience

Like most important trends in the IT industry, there is a methodology to AIOps, Observability, and Application Resource Management (ARM). DAI helps customers pinpoint the relevant parts of these methodologies while combining them with practical experience. For our customers, the result is a streamlined process that takes advantage of new techniques and proven methodologies that aren't overwhelming to learn. It starts with the principles of Site Reliability Engineering (SRE). We cover popular methodologies such as the Four Golden Signals for monitoring systems, the Six Pillars of Managing Microservice Applications, and the Twelve-Factor App methodology. Next, we cover runtime platforms ranging from traditional monoliths to microservices in containers. We apply the tools that infuse AI, Observability, and Recommendation engines. Finally, we focus on the processes and metrics necessary to maintain an IT staff that is skilled enough to handle the platforms, but small enough to stay within budget.