Screaming in the Cloud

About Richard HartmannRichard "RichiH" Hartmann is the Swiss Army Chainsaw at SpaceNet, leading both a greenfield datacenter build and monitoring. By night, he is involved in several FLOSS projects, a Prometheus team member, founder of OpenMetrics, and organizing various related conferences, including but not limited FOSDEM, DENOG, and Chaos CommunicationCongress. Links Referenced: https://velocityconf.com/cloudhttps://prometheus.iohttps://www.debian.orghttps://promcon.iohttps://fosdem.orghttps://cloud.withgoogle.com/nexthttps://www.microsoft.com/en-us/buildhttps://reinvent.awsevents.comhttps://twitter.com/twitchih

About Jess FrazelleJessie Frazelle is a computer programmer who has worked at GitHub, Microsoft, Google, Docker and various companies, startups, even design agencies before that. She’s worked on a lot of the open source projects in the container ecosystem, she’s a top abuser of the GitHub api, and runs her own cloud from her apartment and a colo in NYC called jess cloud.Links Referenced: twitter.com/jessfrazgithub.commicrosoft.comgoogle.comdocker.comcontained.afcncf.iosummerofcode.withgoogle.comJoe.devSoul of a New Machinegithub.com/Gazler/githug

About Maureen LonerganMaureen Lonergan joined Amazon Web Services in March of 2012 as Director of Training and Certification. Since then, Maureen has worked to build a set of programs and offerings that offer a flexible path for learners to advance their careers and for organizations to enable their teams and get more out of the cloud. Her team is responsible for building, maintaining, and delivering both classroom and digital training courses alongside an AWS Certification program to validate cloud knowledge. Education programs, including AWS Academy, aim to build a pipeline of cloud talent for the future. Over the course of the last 7 years, the organization has delivered training in over 50 Countries and hundreds of thousands of learners. Prior to Amazon, Maureen was the Senior Director for Partner Enablement at VMware where she built training and enablement programs and delivered training to hundreds of thousands of individuals across a channel of 30,000 partners. She’s also served as the Director of Technical Training and Enablement at Symantec and the Director of Education Services at Ariba.Some of the highlights of the show include: Where to get started learning about the cloudThe variety of AWS certifications offeredWhy certifications are valuable for job prospectsThe work that goes into designing the AWS training coursesSome partners where you can access trainingLinks:https://www.aws.traininghttps://aws.amazon.comhttps://aws.amazon.com/training/course-descriptions/https://aws.amazon.com/training/learning-paths/https://www.coursera.org/awshttps://aws.amazon.com/training/path-cloudpractitioner/https://www.cisco.com/c/en/us/training-events/training-certifications/certifications/expert/ccie-routing-switching.htmlhttps://www.edx.org/school/awshttps://www.coursera.org/aws

Some of the highlights of the show include: The benefits of RoboMaker in code deploymentHow cloud computation frees up local resources Using machine learning to improve robot reactionHow great a name RoboMaker isAmazon’s commitment to the enduring APILinks:https://aws.amazon.com/robomaker/http://www.ros.orghttps://aws.amazon.com/deepracer/

Some of the highlights of the show include: Implications for migrating to AWSWhy and how for using Amazon vs hardwareThe positive effects of mentoring for both the mentor and menteeTechnical vs Management tracks at a software companyCareer advice for women in the tech fieldLinks:https://www.digitalocean.com/ https://sendgrid.com/DO.co/screaming http://blog.dbsmasher.com/https://github.com/

The job market in the AWS world is complex and often confusing to both employers and employees. Wouldn’t it be great to have over 43,000 data points to draw a larger picture of the market and where you fall in line? Today, we are talking to Kate Powers who walks us through the AWS Salary Survey from Jefferson Frank and discusses some interesting insights as well as real world examples of the findings. Some of the highlights of the show include: The AWS job market at large Training Certificates: what’s their value How much value is in a job title Most desirable skills from employers Gender representation in the industry The discrepancy in compensation based on geography Links: https://www.jeffersonfrank.com https://www.jeffersonfrank.com/aws-salary-survey/ https://twitter.com/_JeffersonFrank https://www.linkedin.com/company/jefferson-frank/ https://www.facebook.com/JeffersonFrank.AWS .

Years ago, if you wanted to launch an Internet company or Web application, you had to own necessary hardware. Now, the economics have changed drastically with the ease of Cloud computing. It’s still a new industry that people are trying to figure out, especially when it comes to cost and optimization. Today, we’re talking to Dann Berg, a Cloud ops analyst at Datadog. He helps others understand and lower the cost of Cloud operations. Dann is a detective who is dedicated to figuring out why a company’s Cloud bill is so high. Some of the highlights of the show include: Companies struggle with field of Cloud economics; can be overwhelming because there’s so much to learn about products and implementation Companies use the Cloud to grow quickly, which makes their Cloud costs grow quickly and more than expected Only access to full list of every resource being used is the Cloud bill; there’s no comprehensive inventory service available Companies need to offer visibility to Cloud bill; not everyone has access to understand how their actions impact the bill Cost of Cloud bill is dependant on different factors, including new features, new users, and cost of goods sold (COGS) Scale and manage bill by using a platform app or hiring a consultant/team Understand pricing of AWS and learn best practices for cost controls early on Don’t leave money on the table by focusing on engineering time - not best use of resources; focus on the smallest things that have the biggest impact Cost is important, but don’t slow down those developing in the Cloud; open lines of communication to create culture to understand cost, value what’s measured Links: Dann Berg on Twitter Datadog re:Invent AWS Cost Explorer CloudHealth CloudCheckr Cloudability Lambda EC2 GCP Azure CHAOSSEARCH .

If you use MongoDB, then you may be feeling ecstatic right now. Why? Amazon Web Services (AWS) just released DocumentDB with MongoDB compatibility. Users who switch from MongoDB to DocumentDB can expect improved speed, scalability, and availability. Today, we’re talking to Shawn Bice, vice president of non-relational databases at AWS, and Rahul Pathak, general manager of big data, data lakes, and blockchain at AWS . They share AWS’ overall database strategy and how to choose the best tool for what you want to build. Some of the highlights of the show include: Database Categories: Relational, key value, document, graph, in memory, ledger, and time series AWS database strategy is to have the most popular and best APIs to sustain functionality, performance, and scale Many database tools are available; pick based on use case and access pattern Product recommendations feature highly connected data - who do you know who bought what and when? Analytics Architecture: Use S3 as data lake, put in data via open-data format, and run multiple analyses using preferred tool at the same time on the same data AWS offers Quantum Ledger Database (QLDB) and Managed Blockchain to address use case and need for blockchain Authenticity of data is a concern with traditional databases; consider a database tool or service that does not allow data to be changed Lake Formation lets customers set up, build, and secure data lakes in less time DocumentDB: Made as simple as possible to improve customer experience AWS Culture: Awareness and recognition that it takes many to conceive, build, launch, and grow a product - acknowledge every participant, including customers Links: Amazon DocumentDB MongoDB Amazon RDS React Aurora re:Invent DynamoDB Amazon Neptune Amazon Elasti-Cache Amazon Quantum Ledger Database Amazon Timestream Amazon S3 Amazon EMR Amazon Athena Amazon Redshift Amazon Managed Blockchain Amazon EC2 Amazon Lake Formation Perl CHAOSSEARCH .

Does operating system (OS) choice even matter anymore to most people? Especially with the emergence of serverless and containers? Debian may not see its name up in lights much these days, but it’s still very much front, center, and relevant to what people are doing in Cloud environments. Today, we’re talking to Elana Hashman, a Python packager and Debian developer. Everything inside a base operating system may not be interesting to end users, but such a collection of components is necessary to create a functioning Linux system. Some of the highlights of the show include: Alternative Linux operating systems, including Amazon Linux 2 Level of awareness about free software when choosing and distributing an OS What is a Python packager? How do you become one? Python is the new default language due to growth and adoption of its ecosystem Packaging community off-putting to beginners; find someone who understands the system to guide you Links: Elana Hashman Elana Hashman on Twitter Elana Hashman on Mastodon A tale of three Debian build tools Python Python Packaging Authority PyCon Debian The Debian Women Project Docker Red Hat Fortran Amazon Linux 2 Go Perl SaltStack OpenHatch SCALE Jordan Sissel on Twitter DigitalOcean .

Companies can find working in the Cloud quite complicated. However, it’s a lot easier than it used to be, especially when trying to comply with regulations. That’s because Cloud providers have evolved and now offer more out-of-the-box services that focus on regulation requirements and compliance. Today, we’re talking to Elliot Murphy. He’s the founder of Kindly Ops, which provides consulting advice to companies dealing with regulated workloads in the Cloud. Some of the highlights of the show include: Technical controls are easier, but requirements are stricter Risk Analysis: Putting locks on things to thinking about risks to customers Building governance and controls; making data available and removable Secondary Losses: Scrub services to make scope and magnitude of loss smaller Computing became ubiquitous and affordable; people started collecting data to utilize later - nobody gets rid of anything General Data Protection Regulation (GDPR) set of regulations apply to marketing technology stacks to manage systems Empathy building exercise and security culture diagnostic help companies understand compliance obligations Security Culture: Beliefs and assumptions that drive decisions and actions Evolution of understanding with public Cloud’s security and availability Raise the bar and shift mindset from pure prevention to early detection/ mitigation; follow FAIR (factor analysis of information risk) Links: Kindly Ops Amazon Web Services (AWS) Microsoft Azure Relational Database Service (RDS) Google Cloud Platform (GCP) Nist Cybersecurity Framework GDPR Day People-Centric Security by Lance Hayden Stripe Society of Information Risk Analysts (SIRA) DigitalOcean .