DEVOPSdigest

DEVOPSdigest asked the top minds in the industry what they think AIOps can do for DevOps and developers. Part 4 covers cloud and containers.

Start with What Can AIOps Do For DevOps? - Part 1

Start with What Can AIOps Do For DevOps? - Part 2

Start with What Can AIOps Do For DevOps? - Part 3

MANAGING HYBRID CLOUD

In the DevOps life cycle, successful AIOps deployments can help enterprise application teams increase their oversight of hybrid cloud environments and enable DevOps teams to make sense of the copious amount of data that is constantly being generated. The tasks that have been slowing down these teams in the past can now be automated through AI technologies, freeing them to focus on higher-level, mission critical tasks.
Abel GonzalezDirector of Product Marketing, Sumo Logic(link is external)

Now that applications and cloud services have become foundational to business and the primary mechanism to serve customers, AIOps will play a significant role for DevOps teams in their efforts to improve and optimize app experience continually. Today's modular apps are more distributed than ever, running on a complex network of underlying cloud and Internet infrastructure that traditional app monitoring solutions fail to bridge. AIOps solutions that consider the entire digital supply chain that powers today's apps will provide DevOps teams and developers with the insight they need to baseline and improve performance across all third-party integrations, external networks, and backend dependencies, be it API integrations or cloud-hosted environments, etc. Ultimately, this level of network context and end-to-end performance insight will play a critical role in implementing the large scale feedback loop required to determine what can and should be further automated.
Mike Hicks
Principal Solutions Architect, ThousandEyes(link is external)

As organizations undergo digital transformations and adopt more agile cloud-based frameworks, AIOps unlocks new processes for IT departments to manage that infrastructure. AIOps is similar to RPA in that it can be leveraged to learn and automate everyday tasks — conserving IT resources and enabling time to be spent on more advanced initiatives. For IT operations, AIOps can surface patterns in infrastructure deployments that empower IT operations with better management and quicker response times.
Ryan Ries
Practice Lead, Data Science and Engineering, Mission(link is external)

MANAGING CONTAINERS

With the increasing use of containerization, AIOps is critical for IT operations to track all of their deployments and manage new serverless infrastructure.
Ryan Ries
Practice Lead, Data Science and Engineering, Mission(link is external)

SETTING DYNAMIC THRESHOLDS FOR EACH SERVER

IT Central Station reviewers appreciate being able to use AIOps to set dynamic thresholds for each server.
Russell Rothstein
Founder and CEO, IT Central Station(link is external)

SECURITY

With the ability of AI/ML taking the manual interaction away from analyzing logs and security events, AIOps/MLOps can offer better turnaround time and better resource scaling while keeping the security posture of applications and APIs at a high level. Vulnerabilities or threats can be mitigated automatically by a well-tuned AI.
Mike Elissen
Developer Advocate, Akamai(link is external)

AIOps will come in handy especially around security on threat vulnerability management, network security and application security. If AIOps can predict the threats using metadata, the Ops team can be proactive in monitoring those threats and also be ready in case there is a failure.
Vishnu Vasudevan
Head of Product Engineering and Management, Opsera(link is external)

Go to: What Can AIOps Do For DevOps? - Part 5