Indy Cloud Conf 2020
as the organisers put it
Website for Indy Cloud Conf, a conference focused on cloud solutions for DevOps, Machine Learning and IoT in Fishers, IN USA.
| title | author | length |
|---|---|---|
| Opening Remarks - Day 1 | Calvin Hendryx-Parker | 10m |
Day 1 opens with a focused run-through of the agenda and practical details: exact session times, where to find slides and recordings on… | ||
| For the Love of Software | 01m | |
Video lays out engineering practices: tearing down monoliths and re‑architecting services, running A/B test and Bluegreen deploy workflows, and moving to the… | ||
| Software Management Lessons from the 1960s | Larry Garfield | 55m |
Claims that still matter: System/360 sets the 8‑bit byte and byte‑addressable memory, Brooks’s claim adding people to a late project makes it later holds… | ||
| Cloud-based Machine Learning Offerings - Beginner's Perspective | Jordan Thayer, Robert Herbig | 40m |
Compares hands-on runs of Jupyter notebooks on AWS SageMaker, Google AI Platform and Azure ML using the UCI Dota2 CSV, trains a scikit‑learn decision tree, and… | ||
| Event-driven Security with AWS Security Services | David Poindexter | 35m |
Centralized AWS events (CloudTrail, CloudWatch, EventBridge, GuardDuty) get filtered and routed via SNS and Lambda to targeted channels: root logins trigger… | ||
| Deploying machine learning pipelines to production | Maria Patterson | 41m |
Cloud pipeline design uses Apache Avro for compact, schema-evolving packets (including binary image cutouts) and Apache Kafka with mirror-maker for streaming… | ||
| Cloud First Web Apps in Azure | Shane Milton | 36m |
Argues cloud-first apps are faster and often cheaper, and shows a concrete architecture: an Angular SPA hosted in Blob storage with Azure AD B2C for social… | ||
| Goodbye YAML, Hello AWS Cloud Development Kit | Ken Winner | 28m |
Shows AWS CDK as a real replacement for long CloudFormation YAML by using TypeScript/Python to build and deploy an active‑active serverless API backed by… | ||
| Live Demo | Angela Fruits, Dave McAllister | 35m |
Live demo of Splunk shows ingestion of any structured or unstructured data with schema on-the-fly and prebuilt applications for AWS, databases, and IoT… | ||
| Rekognition Live Demo | Kashif Imran | 29m |
Live demo of Amazon Rekognition shows building and deploying a custom image model that identifies specific animated characters (Big Buck Bunny) and returns… | ||
| CI/CD Agility and Controlling Pipeline Sprawl Outline | Angel Rivera | 33m |
CI/CD agility means moving continuously and the concrete obstacles are stale secrets (one example: a secret unchanged for five years) and exploding YAML… | ||
| Adding Design to DevOps | Simon Yost | 37m |
Claim: DevOps must own repeatable processes that let designers plug into CI/CD so features ship reliably. Workflow uses discover‑distill‑deliver with three… | ||
| Cloud Storage 101 | Ben Davis | 37m |
Compares storage types with concrete numbers and cloud examples: magnetic drives give about 600 IOPS, 2–20 MB/s throughput and ~4 ms latency; SSDs (SATA vs… | ||
| How to Effortlessly Automate File Recognition with AutoML | Calvin Hendryx-Parker | 29m |
Pipeline splits PDF bundles into images, uses simple image features and perceptual hashing to pre-group pages, sends ambiguous groups to a human feedback loop… | ||
| Measuring Developer Efficiency in DevOps: Key Questions, Metrics, Best Practices | Alec Isaacson | 33m |
Claims that top DevOps teams deploy much faster, cut MTTR and show 7x lower failure rates by instrumenting pipelines and code. Concrete practices include… | ||
| IoT Easy as Pi | Darren Mills | 46m |
Builds a working weather station using Raspberry Pi + Sense HAT and a Hologram Nova modem (cellular optional), authenticates with Cognito and X.509 certs, and… | ||
| Enriching datasets using Apache Spark solves tracing in financial industry | Gokul Prabagaren | 23m |
"How Enriching datasets approach using Apache Spark solves granular tracing issue in regulated financial services industry" by: Gokul Prabagaren
Apache Spark… | ||
| Security Lessons Learned Moving a Bank 100% in the Cloud | Steve Lodin | 45m |
Company moves ~1,000 servers and all but two appliances into AWS using a lift & shift to EC2, then shifts toward PaaS/serverless; centralizes logs with VPC… | ||
| Wearables data feed | Mark DeLaVergne | 35m |
LifeOmic builds a production wearables pipeline that pulls Apple HealthKit, Fitbit, Garmin and others into a performant FHIR API using AWS Lambda, API Gateway… | ||
| Get all your (IoT) Ducks in a Row with AWS Greengrass | Calvin Hendryx-Parker | 37m |
AWS IoT Greengrass brings local compute, messaging, data caching, sync and ML inference to edge devices and manages fleets with group-based OTA provisioning… | ||
| Bridge to the Cloud | Steve Howard | 31m |
Overview of a working pipeline: a local Java producer loads 20 customers and streams orders at ~50 events/sec into Apache Kafka, a running Confluent Cloud… | ||
| Closing Remarks - Day 1 | Calvin Hendryx-Parker | 08m |
Day one wraps with a sequence of social events: a cocktail social appears in the announcements room 5–10 minutes after the close with a Zoom that holds up to… | ||
| Opening Remarks - Day 2 | Calvin Hendryx-Parker | 07m |
Day two opens with logistics and community details: join track channels in Slack where moderators wear a cloud emoji and each webinar has a corresponding… | ||
| How Talent Optimization will Impact Cloud Growth | John Qualls | 39m |
Argues that cloud growth stalls on people not tech and offers a concrete four-step framework—design, hire, inspire, diagnose—plus four specific misalignments… | ||
| The Cognitive Neuroscience of Empathy - You're a DevOps Natural | Dave Mangot | 37m |
Argues empathy is partly innate and measurable with fMRI and monkey electrode studies, citing mirror neurons (Vittorio Galassi, Parma macaques) and… | ||
| Proactively Stabilizing Key Business Process for Hybrid Cloud | Laura Vetter | 45m |
A concrete blueprint for hybrid-cloud monitoring that uses Splunk (including its Machine Learning Toolkit), a common information model, and integrations with… | ||
| High Performance Cloud-Native Microservices | Mesut Celik | 34m |
Hazelcast provides distributed caching for Kubernetes with four concrete patterns: embedded (Java JVM only), sidecar (multi-language), HTTP reverse-proxy, and… | ||
| From Zero to Machine Learning in 45 Minutes | Harnoor Minhas | 42m |
Overview of a hands‑on path from zero to a working reinforcement agent using AWS DeepRacer: Python reward functions, action space (steer/brake/throttle), and a… | ||
| Improving Consumer Experience with CloudFront | Stephen Sailor | 34m |
Migrates a static marketing site from EC2/ALB to S3 origin + CloudFront distribution with Route 53 and ACM for SSL, cutting ops and patching needs while… | ||
| Oops, I committed my private key: Automating security from with IoT and IaC | Nick Anderegg | 35m |
After two accidental SSH key commits the project builds a personal secrets platform using Ansible, Packer, HashiCorp Vault, and inexpensive IoT: a three… | ||
| Live Demo | Calvin Hendryx-Parker | 29m |
Live demo of SaltStack showing working states and pillars, salt modules and the salt mine driving orchestrations that release code across four app servers… | ||
| Call for Code Demo | John Walicki | 30m |
IBM runs Call for Code as a five‑year $30M program with a $200,000 prize and starter kits for COVID and climate tracks. Practical outputs include a… | ||
| Automated Machine Learning with ML.NET | Shane Milton | 44m |
ML.NET AutoML trains on the 8x8 EMNIST-style dataset of ~70,000 images, runs time-boxed experiments (120s produced 9 candidate models), selects a LightGBM… | ||
| Building a cloud-friendly application | Larry Garfield | 40m |
Argues that cloud-friendly apps keep developer files immutable and user data writable, producing a build artifact (composer/pip/npm or compiled binary) that… | ||
| Empowering Your World With Alexa | Stephen Sailor | 36m |
Live demo builds an Ops Buddy Alexa custom skill that triggers AWS CodePipeline via Lambda, updates an S3/CloudFront static site and invalidates cache; a… | ||
| Open Standards For Machine Learning Model Deployment | Svetlana Levitan | 34m |
Compares three concrete model-exchange standards and tooling: PMML XML model+transformations as a portable, schema‑based way to record feature transforms and… | ||
| Hands-on with the Terraform Module for AWS Landing Zone | Eugene Istrati | 42m |
A hands‑on tour of a public Terraform module for AWS Landing Zone shows concrete rules and outcomes: the registry + GitHub repo provide about 80 components… | ||
| Seeing RED: Monitoring for Microservices and Serverless | Dave McAllister | 39m |
RED (Rates, Errors, Duration) adapts Google’s Golden Signals for microservices and serverless and focuses on concrete checks: Rates, Errors, Duration as… | ||
| Automating Infrastructure as Code with Azure DevOps | Erick Moore | 46m |
Step-by-step demo builds Azure DevOps pipelines that validate and deploy ARM templates: a CI build uses ARM template validate and publishes artifacts, a… | ||
| Building a Cloud Practice | Mike Duncan | 26m |
Company builds an AWS practice and becomes the fastest APN Network Partner by launching a FileMaker-hosting offering, automating backups as “snapbacks”… | ||
| Crafting your Cloud Selling Strategy in 2020 | Amy Jeschke | 34m |
Explains concrete selling moves: customize demos with the buyer logo and language, keep demos to 60 minutes, run them with two voices (AE plus solutions… | ||
| Herding Data to the Cloud | Patty Bragger-Wilkinson | 28m |
Claims a working pattern to move multi-petabyte research data to the cloud that cuts on‑prem cost and unlocks scalable analytics: a federated data lake plus… | ||
| From Sensors to Insights at the Edge: Applying AI to IoT Data | John Walicki | 37m |
A pipeline reads sensor data from an STM32MP1 over MQTT into Node-RED, stores timestamped records in Cloudant, trains a logistic regression model in Watson… | ||
| To a More Perfect Internet | 01m | |
New Relic describes a telemetry platform that instruments every service with lightweight agents, collects traces and real‑time metrics, and surfaces errors… | ||
| Closing Remarks Day 2 | Calvin Hendryx-Parker | 06m |
Closing remarks summarize a 160‑person virtual conference that runs without any dropouts, runs socials, hallway tracks and breakout rooms, and collects… | ||
| nothing matches | ||