Operations | Monitoring | ITSM | DevOps | Cloud

Software development has evolved into a complex symphony of tools, platforms, and processes. While each new tool promises to solve specific challenges, together they’ve created an unexpected burden on development teams. The very solutions meant to streamline our work have paradoxically become a source of friction. A shocking stat from Gartner reveals the scale of this crisis: developers spend only 10-25% of their time actually writing code.

Today, every enterprise is digital. Regardless of industry, every business must incorporate digital technologies and strategies into its operations to remain competitive. Maintaining reliable IT infrastructures and digital services while minimizing downtime due to unplanned outages is critical to business success.

In this blog series, we will explore the importance of merging DevOps best practices with MLOps to bridge this gap, enhance an enterprise’s competitive edge, and improve decision-making through data-driven insights. Part one discussed the challenges of separate DevOps and MLOps pipelines and outlined a case for integration.

You may have wrestled with a web application attempting to call an offsite web service, such as an OpenTelemetry Collector, and gotten an odd error with the word CORS in it. Something like: Or, maybe you got a generic thrown error from your fetch statement that states Error: Failed to fetch …and you wondered, “What’s the problem, and how can I fix it?” These kinds of errors are called CORS errors, and they can be a bit confusing.