Across Asia, the cloud has emerged as a key foundation for many organizations’ digital transformation. However, along with the benefits, migrating to the cloud also presents new challenges:

• Contending with fast-evolving and increasingly sophisticated cyberthreats
• Complying with new data privacy, sovereignty, and protection laws
• Addressing insatiable application performance and end-user expectations
• Containing escalating cost and complexity associated with managing hybrid multi-cloud environments

The acute tech talent crunch we’re experiencing today is also adding a strain to the workloads and worries of understaffed and overworked IT and cybersecurity teams, thus increasing the need for efficiency and automation.

Overcoming these challenges to realize the full potential of a cloud deployment requires comprehensive insights focused on current and trending operating conditions into the entire digital infrastructure: from network traffic to cloud workloads, and across security, applications, and end-user experience.

What we need is ‘deep observability’.

That’s why DigiconAsia has joined hands with Gigamon to organize this exclusive closed-door roundtable lunch discussion for senior business and IT management like you:

• What has changed in IT and cybersecurity management after moving to the cloud?
• How does the public cloud shared security model affect cybersecurity architecture and decisions?
• Are the cloud-native security and visibility tools sufficient to meet the security requirements dictated by today’s cyberthreat landscape?
• Cloud perimeter security vs. threat management and compromise detection – which is higher priority for your organization, and how do you accommodate both?
• How do you monitor for lateral movements and indicators of compromise in the cloud?
• In your opinion, what is the difference between ‘visibility’ and ‘observability’? And what’s the difference between ‘observability’ and ‘deep observability’?
• What are the IT performance management, cost, compliance and security headaches that you can see ‘deep observability’ helping to address in your organization?
• What do you think are the steps your organization can take to leverage ‘deep observability’ effectively?