Category: Events

• Scale the Jenkins platform to multiple teams and projects
• Build, test and publish Docker images with your application code
• Have an audit trail to trace your container images
• Build a pipeline with Jenkins Workflow to pull the above together

Recording

Slides

Your Host

Alan Shimel, Editor-in-Chief devopsy.kinsta.cloud,, An often-cited personality in the security and technology community and a sought-after speaker at industry and government events, Alan has helped build several successful technology companies by combining a strong business background with a deep knowledge of technology.

About the Panelists

Neil Hudson, Principal Solutions Architect at CloudBees, is a dedicated technical expert with strong business acumen who helps organizations architect scaled DevOps solutions based upon Jenkins and its extensive network of connected capabilities. He has deep knowledge of enterprise solutions involving virtualization infrastructure, big data, storage, clustering, and high availability. He has extensive commercial experience with programming, design, architecture, and application servers. Prior to CloudBees, Neil worked at Red Hat architecting solutions with 100s of customers.  In a previous life Neil had gigs developing trading strategies for high frequency trading markets.

More than ever, enterprise organizations must balance risk with the ability to respond rapidly to continually changing market conditions. However, many factors seem to create obstacles for adopting DevOps, including a legacy systems, bureaucracies, command and control culture and so forth.

In this webinar we heard from three highly regarded voices in the enterprise DevOps movement — renowned author, researcher, speaker and DevOps evangelist, Gene Kim, Capital One Product Manager, Tapabrata (Topo) Pal and VP of DevOps Strategy at XebiaLabs, Andrew Phillips, convene to discuss the processes, people, and technology you need to implement DevOps with Continuous Integration, Continuous Testing and Continuous Delivery.

The session will also included key findings from nearly 100 experience reports from large, complex organization who presented their DevOps transformations gathered at the recent DevOps Enterprise Summit including Macy’s, Capital One, Disney, Target, GE Capital, Western Union, Nordstrom and many more.

Attendees also learned:
– Top successful patterns in successful transformations
– Top learnings from DevOps Enterprise Summit 2015
– Top obstacles for DevOps transformations in large, complex organizations

Recording

Slides

Your Host

Alan Shimel, Editor-in-Chief devopsy.kinsta.cloud,, An often-cited personality in the security and technology community and a sought-after speaker at industry and government events, Alan has helped build several successful technology companies by combining a strong business background with a deep knowledge of technology.

About the Panelists

Gene Kim

Author, Researcher, Speaker, Director, DevOps Enthusiast

Gene is a multiple-award-winning CTO, researcher and author. He was founder and CTO of Tripwire for 13 years. Gene is a huge fan of IT operations and how it can enable developers to maximize throughput of features from “code complete” to “in production,” without causing chaos and disruption to the IT environment. He is passionate about IT operations, security and compliance, and how IT organizations successfully transform from “good to great.”

Tapabrata (Topo) Pal

Product Manager

Tapabrata has 20 years of IT experience in various technology roles (Developer, Operations Engineer and Architect) in the retail, healthcare and finance industries. Over the last three years, Tapabrata has served as Director of Capital One’s Enterprise Architecture group and led the company’s DevOpsSec initiatives. He is currently Director and Platform Engineering Fellow and is focused on next-generation infrastructure. Previously, Tapabrata spent some time in academics doing doctoral and post-doctoral research in the field of solid state physics.

Andrew Phillips

VP of DevOps Strategy

Andrew Phillips heads up strategy at XebiaLabs, developing software for visibility, automation and control of Continuous Delivery and DevOps in the enterprise. He is an evangelist and thought leader in the DevOps and Continuous Delivery space. When not “developing in PowerPoint”, Andrew contributes to a number of open source projects, including the multi-cloud toolkit Apache jclouds. University.

Teams everywhere are looking for tools to define the process they go through to get code to production and represent that as code.

Learn how to use Jenkins with Docker to:

Scale the platform to multiple teams and projects
– Build docker images
– Test and publish docker images
– Trace images through to container usage
– Trigger builds from changes published to a Docker registry
– Build a pipeline with Jenkins workflow to pull the above together

In this talk we will showcase how to use the new Jenkins Docker plugins and provide you with configurations you can further explore in your own environment.

Date: Wednesday, January 20th, 2015

Time: 1:00 pm eastern standard time

REGISTRATION LINK: (CLICK HERE)

Your Host

Alan Shimel, Editor-in-Chief, devopsy.kinsta.cloud, An often-cited personality in the security and technology community and a sought-after speaker at industry and government events, Alan has helped build several successful technology companies by combining a strong business background with a deep knowledge of technology.

About the Panelists

Neil Hudson, Principal Solutions Architect, CloudBees

Neil Hudson, Principal Solutions Architect at CloudBees, is a dedicated technical expert with strong business acumen who helps organizations architect scaled DevOps solutions based upon Jenkins and its extensive network of connected capabilities. He has deep knowledge of enterprise solutions involving virtualization infrastructure, big data, storage, clustering, and high availability. He has extensive commercial experience with programming, design, architecture, and application servers. Prior to CloudBees, Neil worked at Red Hat architecting solutions with 100s of customers.  In a previous life Neil had gigs developing trading strategies for high frequency trading markets.

A step-by-step guide to help streamline your processes while keeping your company secure.

You sit down to order lunch and your phone lights up, with numerous calls and texts flying in. An engineer was let go and it didn’t go so well. He/she has access to all of the source code, some production machines, and knows critical passwords. Do you have the right systems in place to cut off access quickly and securely?

In this webinar, JumpCloud CEO Rajat Bhargava walks you step by step through the on-boarding and off-boarding process to ensure that you are both setting your employees up for success, and keeping your company secure.

What you will learn:

• How to onboard employees in a way that is accurate, efficient, and secure

• The four step process to off-boarding an employee

• The risks associated with improper off-boarding

 Date: Tuesday, January 5th, 2015

Time: 2:00 pm eastern standard time

REGISTRATION LINK: (CLICK HERE)

Your Host

Alan Shimel, Editor-in-Chief devopsy.kinsta.cloud, An often-cited personality in the security and technology community and a sought-after speaker at industry and government events, Alan has helped build several successful technology companies by combining a strong business background with a deep knowledge of technology.

About the Panelists

Join us as we talk about what we learned from the over 600 results we gathered during our second annual State of On-call survey.

In terms of changes from last year, we thought that…

– we would see an increase in the adoption of ChatOps.
– even more organizations would report having moved large parts of their infrastructure to the cloud.
– there would be a decrease in the number of people saying on-call is getting worse.
– an increase in DevOps practices would be obvious.

How right were our predictions? What tools are teams using with success during the firefight? How many people does it take to resolve an issue? We asked questions covering all aspects of being on-call and all phases of the Incident Lifecycle.

Hear what people have to say about being on-call!

Date: Tuesday, December 15th, 2015

Time: 2:00 pm eastern standard time

REGISTRATION LINK: (CLICK HERE)

Your Host

Alan Shimel, Editor-in-Chief devopsy.kinsta.cloud, An often-cited personality in the security and technology community and a sought-after speaker at industry and government events, Alan has helped build several successful technology companies by combining a strong business background with a deep knowledge of technology.

About the Panelist

Join us as we talk about what we learned from the over 600 results we gathered during our second annual State of On-call survey.

In terms of changes from last year, we thought that…

– we would see an increase in the adoption of ChatOps.
– even more organizations would report having moved large parts of their infrastructure to the cloud.
– there would be a decrease in the number of people saying on-call is getting worse.
– an increase in DevOps practices would be obvious.

How right were our predictions? What tools are teams using with success during the firefight? How many people does it take to resolve an issue? We asked questions covering all aspects of being on-call and all phases of the Incident Lifecycle.

Hear what people have to say about being on-call!

Recording

Slides

Your Host

Alan Shimel, Editor-in-Chief devopsy.kinsta.cloud, An often-cited personality in the security and technology community and a sought-after speaker at industry and government events, Alan has helped build several successful technology companies by combining a strong business background with a deep knowledge of technology.

About the Panelist

This presentation is about applying anomaly detection models and algorithms to monitoring DevOps environments. We survey a collection of techniques that we have applied successfully in DevOps configurations that range from very small to huge. Each of the techniques has strengths and weaknesses that are illustrated via real-world (anonymized) customer data.

Techniques discussed include deterministic and statistical models as well as uni-variate and multi-variate analytics. Examples are given that show concrete evidence where each can succeed and each can fail. This presentation is about concepts and how to think about alternative anomaly detection techniques. This presentation is not an academic discourse in math, statistics or probability theory.

RECORDING AVAILABLE: (CLICK HERE)

SLIDES

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QUESTIONS

Q. What is in the black box as you described in the section on statistical machine learning?

A. The short answer is a collection of algorithms that perform uni-variate and multi-variate generalized linear regression models with exponential smoothing applied to the stream of incoming metric observations. The uni-variate models are executed for each metric, as a default. The multi-variate models are applied to various collections of metrics that are defined based upon any one of several possible criteria and specifically tagged for adaptive learning. There are several patents that provide a lot more detail on our algorithms and they are publicly available for you to read if you like. A list of our patents is available on our web-site at www.netutive.com.

Q. What have you encountered in model and matrix sizes?

A. Matrix sizes are limited via a settable collection of parameters. Our current settings specify either 1024 or 2048 metrics per multi-variate model. Some of our “secret sauce” is in the implementation of the algorithms that execute the models.

The good news is that our implementation is amenable to subdivision into individual collections of metrics, so we can scale linearly by adding microservics to meet demand. I will say that the big matrices that we need to deal with are symmetric and positive semi-definite which are characteristics that make the matrices amenable to task-specific optimization strategies.

Also, you mentioned SVMs and neural networks. We like SVMS, but, after multiple attempts, have not had much success with neural networks.

Not surprisingly, we have discovered that 1) having a broad array of models/algorithms and 2) providing a mechanism to add context are critical to increasing precision and SNR.

Your Host

Alan Shimel, Editor-in-Chief devopsy.kinsta.cloud, An often-cited personality in the security and technology community and a sought-after speaker at industry and government events, Alan has helped build several successful technology companies by combining a strong business background with a deep knowledge of technology.

About the Panelist