BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//DevOpsChat//Events//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:01a1989d-2ca0-71c0-b457-4796e36ee961@www.devopschat.co
DTSTAMP:20261106T124758Z
DTSTART:20191112T160000Z
DTEND:20191112T170000Z
SUMMARY:AI & ML in the DevOps Pipeline
DESCRIPTION:**GOTCHA:** This is\, in fact\, on Tuesday due to Monday's holi
 day. Please make a note!\n\nWe have an amazing double header tonight with 
 Xebia Labs and Expero.\n\nTitle\n=====\n\nCase Study: Comprehensive Scalin
 g and Capacity Planning with k8s\, Terraform\, Ansible and Gatling\n\nAbst
 ract\n========\n\nNow that shared nothing\, noSQL solutions are widely ava
 ilable in the marketplace\, deploying clusters of most sizes is both pract
 ical and necessary. But how quickly do my clusters need to expand (or cont
 ract) and how can you be sure that you’ve properly planned and budgeted 
 for that deluge of traffic after your new product announcement?\nIn this c
 ase study\, we’ll walk you through how we setup a dynamically scaling cl
 uster management solution that could add or remove capacity as planned tra
 ffic demands. All of this informed by a sophisticated test harness to game
  out for possible and probable scenarios.\nTopics that will be covered are
 :\n1. Deploying complex configuration dynamically within Ansible and Terra
 form scripts\n2. Automating a fluctuating test harness to model spikes and
  plateaus within read and write traffic patterns with Kubernetes\n3. Keepi
 ng a healthy ecosystem through monitoring and proactive maintenance\n4. Pu
 sh button provisioning for handling “Black Friday” type spikes in dema
 nd\n\nBio\n===\n\nBrian Hall (linkedin) leads the Graph and Analytics Prac
 tice at Expero\, with consulting expertise across a wide array of graph en
 gines including JanusGraph\, DataStax\, Neo4j\, TigerGraph\, Neptune\, and
  CosmosDB.\n\n------------------------------------------------------------
 --\n\nTitle\n=====\n\nSmarter DevOps: How Data is Driving the Next Wave in
  DevOps Intelligence\n\nAbstract\n========\n\nThe data within your DevOps 
 pipeline has limitless potential. It may highlight security issues\, ident
 ify causes for release failures\, or pinpoint ways to improve efficiency. 
 Why is it that so much of the power of\ndata remains untapped? Harvesting 
 DevOps data holds the key to continuous improvement in software delivery. 
 This data will\ngive organizations more meaningful metrics and KPIs\, insi
 ghts into areas to improve processes\, and value through increased efficie
 ncy. Advances in machine learning technologies offer new opportunities to 
 gain significant value from this data.\n\nSo\, what benefits can users exp
 ect?\n Tracking application delivery: Visibility at each stage of the r
 elease pipeline allows users to quickly identify problems wherever they oc
 cur and quickly resolve.\n Automated governance: Automating security\, 
 compliance\, and audit data gathering decreases time spent on repetitive l
 abor-intensive activities\, allowing DevOps teams to focus on app developm
 ent.\n Ensuring application quality: Advances in data analysis can now 
 find subtle issues and trends\, ensuring that releases consistently achiev
 e desired quality.\n Predicting and preventing failures: Past history i
 s the truest predictor of future success. AI/ML analyze the conditions sur
 rounding past release failures to provide predictions of similar problems\
 nin the future. Failing releases can be identified and resolved before the
 y occur\, saving precious\ntime and money.\n Analyzing business impact:
  Improvements in efficiency translate into improved business results. Iden
 tifying key bottlenecks and areas for improvement provides tangible busine
 ss value that can\nbe quantified and tracked.\n\nJoin us to learn what the
  future holds for DevOps intelligence.\n\nBio\n===\n\nDan Beauregard is VP
 \, Cloud & DevOps Evangelist for XebiaLabs. Dan has held senior director r
 oles in both solution engineering and product management at various cloud-
 disrupting companies (Scalr\, OneCloud\, DynamicOps—acquired by VMware)\
 , where he helped transform the Cloud Management Platform market by guidin
 g organizations in their adoption of the cloud technologies. He brings to 
 XebiaLabs years of experience in both software development and cloud and i
 s an AWS Certified Solution Architect.\n\nhttps://www.devopschat.co/meetin
 gs/ai-ml-in-the-devops-pipeline
URL:https://www.devopschat.co/meetings/ai-ml-in-the-devops-pipeline
END:VEVENT
END:VCALENDAR