Devops in bigcompanies

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Alain Delafosse

Quickie on devops for big companies

Devops in big companies

DEVOPS
DevOps
Agile Methodologies
Business
Developers
DevOps started on interaction between developers and operations
Operations
While Development departments are usually driven by user needs for frequent delivery of new features, Operations departments focus more on availability, stability of IT services and IT cost efficiency.
These two contradicting goals create a "gap" between Development and Operations, which slows down IT's delivery of business value.
http://en.wikipedia.org/wiki/DevOps

Processes
Culture
Automation
•Continous delivery
•Continous deployment
•Capacity planning
•Release Coordination
•Software Factory
•Configuration and Packaging
•Software Monitoring ++
•IAAS
•Automated deployment
•Continous Improvement
•Remove boundaries and improve collaboration
•Feedback loops
•Toolset collective ownership
Also presented as CAMS:
1.Culture
2.Automation
3.Measurement
4.Sharing
What is DevOps

Side to Side Comparison
Big company
•Revenue coming from different channels
•Staff > 500
•Matrix or Silo organisation
•Geographically distributed teams
•COTS tools culture for various areas: monitoring, scheduling, etc
Web company
•Revenue coming from web channel
•Staff < 500
•Hierarchical, silo organisation
•Colocalized team
•Open Source tools culture
* COTS: commercial off the shelf

Why big companies are attracted by Devops
•Buzz
–Not really…
•Efficiency / cost reduction
–Improved automation means less resources
–Lower CAPEX by leveraging cloud
•Cycle time improvement
–Server provisionning
–SW deployment

What is slowing down the adoption
•Operation/production isolation
–Ivory tower with their own tools/teams
–Internal SLA
–Fear of change
•Security
–Data confidentiality
–Public cloud is evil
•Legal / Regulatory constraints
–SOX, etc
•Savings difficult to demonstrate
•Complex transformation program

Transformation management
Vision
Skills
Incentive
Resources
Action plan
Change
+
+
+
+

Usual transition paths (not exclusive)
•Deploying Private Cloud
–Achieve flexibility and hw savings objectives
–Improved collaboration between dev and prod team
– Environment standardization
–Orchestration tool
•Improve the cycle time using a *new* tool
–Approval workflow
–Multiplatform deployment
–Service catalog
•Cultural change similar to Agile adoption
–Pilot
–Transversal communities
–Coach

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Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

Exploring the Future Potential of AI-Enabled Smartphone Processors

Exploring the Future Potential of AI-Enabled Smartphone Processors

As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

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Data Cloud, More than a CDP by Matt Robison

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Microsoft's Threat Matrix for Kubernetes helps organizations understand the attack surface a Kubernetes deployment introduces to their environments. This ensures that adequate detections and mitigations are in place. By covering over 40 different attacker techniques, defenders can learn about Kubernetes-specific mitigations and controls to deploy to their environments. In this session, we will explore the MS-TA9013 Host Path Mount technique, which is commonly used by attackers to perform privilege escalation in a Kubernetes cluster. Attendees will learn how attackers and defenders can: * Escape the container's host volume mount to gain persistence on an underlying node * Move laterally from the underlying node into the customer's cloud environment * Analyze Kubernetes audit logs to detect pods deployed with a hostPath mount * Deploy an admission controller that prevents new pods from using a hostPath mount

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Devops in bigcompanies

1. Devops in big companies

2. DEVOPS DevOps Agile Methodologies Business Developers DevOps started on interaction between developers and operations Operations While Development departments are usually driven by user needs for frequent delivery of new features, Operations departments focus more on availability, stability of IT services and IT cost efficiency. These two contradicting goals create a "gap" between Development and Operations, which slows down IT's delivery of business value. http://en.wikipedia.org/wiki/DevOps

3. Processes Culture Automation •Continous delivery •Continous deployment •Capacity planning •Release Coordination •Software Factory •Configuration and Packaging •Software Monitoring ++ •IAAS •Automated deployment •Continous Improvement •Remove boundaries and improve collaboration •Feedback loops •Toolset collective ownership Also presented as CAMS: 1.Culture 2.Automation 3.Measurement 4.Sharing What is DevOps

4. Side to Side Comparison Big company •Revenue coming from different channels •Staff > 500 •Matrix or Silo organisation •Geographically distributed teams •COTS tools culture for various areas: monitoring, scheduling, etc Web company •Revenue coming from web channel •Staff < 500 •Hierarchical, silo organisation •Colocalized team •Open Source tools culture * COTS: commercial off the shelf

5. Why big companies are attracted by Devops •Buzz –Not really… •Efficiency / cost reduction –Improved automation means less resources –Lower CAPEX by leveraging cloud •Cycle time improvement –Server provisionning –SW deployment

6. What is slowing down the adoption •Operation/production isolation –Ivory tower with their own tools/teams –Internal SLA –Fear of change •Security –Data confidentiality –Public cloud is evil •Legal / Regulatory constraints –SOX, etc •Savings difficult to demonstrate •Complex transformation program

7. Transformation management Vision Skills Incentive Resources Action plan Change + + + +

8. Usual transition paths (not exclusive) •Deploying Private Cloud –Achieve flexibility and hw savings objectives –Improved collaboration between dev and prod team – Environment standardization –Orchestration tool •Improve the cycle time using a *new* tool –Approval workflow –Multiplatform deployment –Service catalog •Cultural change similar to Agile adoption –Pilot –Transversal communities –Coach