Artificial Intelligence & Machine Learning , DevSecOps , Next-Generation Technologies & Secure Development

2022 Outlook: Building a DevSecOps in EMEA with Observability & AIOps

One of the essential goals of the DevOps methodology is to establish a more concise approach to software delivery, using a continuous integration/continuous deployment (CI/CD) approach. However, to streamline the cycle you need three additional elements: Security, Observability and AIOps.

Since the start of 2020, many businesses have had no choice but to accelerate their digital transformation. Pre-COVID-19, just 18% of customer interactions were digital, which rapidly increased to 55% once the pandemic took hold. Applications have been modernized, and moved to microservices running on containers generating a lot of "unknown unknowns". This is why Observability is a must. Understanding these (now observable) environments is a data intensive exercise that requires artificial intelligence (AIOps), making sense of that data for DevOps, but also ensuring proper compliance and risk management. Watch this session to explore the answers to:

  • What are the key components of a DevSecOps architecture?
  • Why is Observability critical for a successful DevSecOps approach?
  • Is Security the fourth pillar of Observability?
  • Why, without AI, is Observability just “data”?

About the Author

Stephane Estevez

Stephane Estevez

EMEA Product Marketing Director, IT Markets, Splunk

IT Operation Evangelist, Stéphane Estevez has over 20 years of product marketing experience in IT, across companies ranging from large multinationals to internet start-ups. Before joining Splunk, he was Backup & Disaster Recovery Product Marketing Manager at Quantum. Prior to this, he was EMEA Product Marketing Manager at NTT, a leading IT services and hosting company. In this role, he was responsible for launching and managing NTT Virtualization and Cloud offerings. Stéphane holds a Master's degree in Marketing and an MBA from ESG, one of the largest business schools in Paris.




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