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Effective Continuous Verification Towards ML-driven Software staging automation and testing Recently, I came across a post (ref 1) that deeply resonated with me as it highlighted a common challenge I observe daily: the promise of DevOps is stagnating. Consider these statistics from the post and reflect whether they also apply to you: Only 11% of […]

  People in software engineering who speak of AI are usually referring to code assistants. When it comes to the verification and operation of software and systems, however, AIOps, which has received little attention to date, is proving to be particularly effective. Today, the hype surrounding generative artificial intelligence (GenAI) is dominating software engineering. Technologies

In this revisited version, we define the Digital Highway as a blueprint for high-velocity delivery of reliable digital solutions, based on five engineering capabilities:  Effective SRE for software, data, and ML models  Effective Continuous Delivery (CD) for software, data, and ML models  Effective MLOps, AIOps, and DataOps  Effective Observability for software, data, and ML models 

The need for Effective Engineering for MLOps & AIOps, Observability and Continuous Verification Enhancing the Digital Highway Blueprint with Effective MLOps Engineering During projects with our technology partners providing AI-enabled continuous delivery such as Harness and ML/AI-driven observability such as Splunk and Dynatrace, we perceived an increasing need for a wider and systematic application of

At Swiss Digital Network, as one hub with multiple expertise, we have the joint purpose of enabling organizations and teams to deliver reliable digital solutions at speed and at scale. This dedication to reliability stems from the background of the Swiss Digital Network founders, who spent more than 25 years helping teams to ensure the