- AWS VPC 101
The VPC is one of the most fundamental and critical building blocks on AWS. In this talk we'll cover the following: 1. VPC introduction 2. History of the VPC - EC2 classic --> AWS VPC 3. VPC endpoints 4. Subnets 5. NACLs 6. Security Groups 7. Peering Speaker: Ashwin Murali (https://www.linkedin.com/in/ashwinmurali/) Bio: A DevOps practitioner and cloud infrastructure expert. Ashwin has over a decade of experience working on public clouds with specialization on cloud migrations, infrastructure monitoring and automation. PS: Please join us for an online quiz at the end of the session. Top 3 winners get $100 worth of AWS credits each
- AWSome Day Online Conference for Beginners
Details Register here: https://go.aws/3afNrc5 AWSome Day Online Conference is a free, online training event that provides a step-by-step introduction to the core AWS services for compute, storage, database and networking. AWS technical experts explain key features and use cases, share best practices, walk through technical demos, and be available to answer your questions one-on-one. Based on the AWS Essentials Course, AWSome Day is ideal for IT managers, business leaders, system engineers, system administrators, developers and architects who are eager to learn more about cloud computing and how to get started on the AWS Cloud. Why you should attend: Gain a deeper understanding of AWS core and application services Learn how to deploy and automate your infrastructure on the AWS Cloud Prepare for the AWS Certified Cloud Practitioner exam Get your questions answered by our AWS experts Receive a Certificate of Attendance when you complete all the modules
- Databases on AWS
*** Please DO NOT RSVP here instead fill up this form https://forms.gle/ZURU45o5tUCHPcATA to help us plan for better logistics *** Talk -1 Title: Introducing Dgraph and tips and tricks for running your own distributed database on EKS Abstract: Dgraph is an open-source, transactional, distributed, native Graph database. Dgraph is optimized for high-performance reads and writes. It can serve queries and mutations with low latency and high throughput, even when they involve deep joins and traversals. We all know about Kubernetes, the favourite container orchestration platform for most developers. Running stateless services on K8's is by far the most popular use case for K8's, and there's a mixed opinion for using it for deploying and managing your databases. In my talk, I attempt to clear the cloud around running, scaling and managing a distributed database on Kubernetes using Dgraph as an example. Enjoy the tricks, tips and secret recipes for a distributed DB's while learning about the features of the most advanced Graph Database in the market. Bio: Karthic works as a Developer Advocate at Dgraph Labs during the day and is a musician by evening. With over five years of contributions to developing infrastructure tools in Open source Go, he has the unique distinction of contributing to a web server in Go (Caddyserver), a distributed object storage in Go (Minio.io) and now a distributed database written in Go. He is an avid speaker and writer, he has presented talks across the globe and has over 275+ tech blogs under his arsenal. He is also a Google Developer Expert in Machine learning and co-organizer of GraphQL Bangalore and CNCF's Kubernetes India Data Management Meetups. Talk - 2: Title: Running Multi-tenanted Databases on AWS RDS - Technical & Operational Considerations Amagi offers a managed SaaS platform, CLOUDPORT, for 24x7 broadcast of linear content for TV and OTT streaming platforms. CLOUDPORT has to cater to high SLA needs of its customers (typically four 9s) while operating on public cloud infrastructures such as AWS and GCP, that may not provide such SLAs across their services. One key design and operational consideration for CLOUDPORT is the reliability/availability of its databases, for a given cost budget. In its early stages of evolution, CLOUDPORT used a single-tenanted, locally hosted and self-managed MySQL DB per customer. For operational ease and reliability considerations, these were moved to AWS MySQL RDS in the next stage. Recently, CLOUDPORT adopted a multi-tenanted, multi-datacenter (zone/regions/...) strategy for further improvement in operational ease and reliability, while optimizing the costs at the same time. With this approach, we think this design has reached very close to its evolutionary conclusion. As with any design, this one too comes with its own flexibility and constraints from software deployment and operational maintenance perspective. This talk will focus on some of these aspects and how some of our learnings may be of relevance to the wider developer / DevOps community. Bio: Vijaya Sagar is Head of Cloud Engineering at Amagi. He has over 20 years of experience in software engineering, with prior stints at Gracenote, Althea, Wipro, InSilica and SiRF. His areas of interest include systems software & firmware, custom operating system kernels, programming language theory, web-scale cloud computing system architectures and machine learning / AI.
- What happened at Las Vegas! AWS re:Invent re:Cap
** Please DO NOT RSVP here instead fill up this form https://forms.gle/jYqTHKbfhSbDKDeN6 to help us plan for better logistics ** AWS re:Invent had given everyone a great glimpse of what AWS is about to launch in the upcoming months. Yes, AWS re:Invent 2019 has just got completed and we have a lot of new AWS services and features in the offering. What to Expect: A lot of new AWS services were announced in re:Invent 2019, far too many to cover in one talk. We will be sharing the latest happening from Las Vegas straight to Bengaluru and detailed explanations of all the new service launches announced at re:Invent 2019 across various technologies. We will also have a demo for DeepComposer device at re:Cap event. Speaker: Suman Debnath, Principal Developer Evangelist at Amazon Web Services https://www.linkedin.com/in/suman-d/ When: 18th January 2020 (Saturday) - 09:30 AM to 12:45 PM Agenda: • 9:30 AM - 10:00 AM : Registration • 10:00 AM - 12:30 PM: re:Invent re:Cap Session & demo • 12:30 PM - 12:45 PM: Q&A Important to know: 1. Please note due to security requirement at meetup venue RSVP will be closed on 17th January 2020. 2. Requesting people to register with their valid email ID to confirm your registration for the meetup. 3. Filling RSVP form doesn't guarantee seat reservation, we will send separate confirmation email and seats will be allocated on first come first serve basis only. 4. No onsite registrations or entry without RSVP be allowed.
- AI for Developers. Computer Vision, Deep Learning and Data Streams on AWS
Amazon Development Center, Aquila
*********** RSVP: https://forms.gle/RMu1hEjtzcNc6qtC6 ************ Talk 1 Title: AI for Developers Description: Learn how to leverage AWS AI APIs to put machine learning into production without a PhD, for everything from computer vision to audio transcription Speaker: Nicholas Walsh, Technologist, Amazon Web Services https://aws.amazon.com/developer/community/evangelists/nick-walsh/ Talk 2 Title: Computer Vision with AWS DeepLens Description: Learn how to build and deploy object detection models using the AWS DeepLens deep-learning-enabled video camera. Speaker: Suman Debnath, Principal Technologist, Amazon Web Services Talk 3 Title: Smarter and Intelligent Ways to train Deep Learning Architectures. Description: Data and Compute resource are two major driving factors behind this tremendous success. But have you ever wondered: 1. How to train deep learning model if we have less amount of data for a particular problem? 2. How to achieve maximum accuracy from the model by simultaneously reducing the training time? 3. What to do if the model is not converging beyond some loss value and it's stuck at some saddle point? In this talk, we take a look at how to train a deep learning model for state of the art result and learn several techniques for faster convergence which can be used both in Computer Vision and NLP task. Speaker: Utkarsh and Aman. Check out Entirety.ai Intuition to Implementation http://meetu.ps/c/4dmFt/B1600/d on Meetup
- Containers and Kubernetes on AWS
********** RSVP HERE: https://forms.gle/J2VfvBuBNeae5gsQA *********** Kubernetes: Under the hood by Romil Punetha 1. A quick summary of Namespaces, Deployments, Pods, Services, and Ingress rules. This will allow users to understand what Kubernetes offers, but not necessarily how it fulfils the claims. 2. How the Kube-scheduler works, and how can affinity and anti-affinity influence the scheduler. 3. How networking works in K8s. Optional: How EKS uses ENI instead of the overlay networks such as calico and weave net. 4. Docker vs. Rkt, logging, metrics capturing. Speaker bio: https://linkedin.com/in/romilpunetha/ Idiomatic Docker and K8S deployments for Rails apps by Ashwin Murali, This is a developer-focused talk around the gotchas and initial ground work required to dockerize your application and make it scale ready. Speaker bio: https://www.linkedin.com/in/ashwinmurali/
- Machine Learning on Kubernetes using Kubeflow.https://go.awsugblr.in/2mk23nx
****** RSVP here https://forms.gle/9NKovFRMGCLzP6Y69 ******** Kubernetes provides isolation, auto-scaling, load balancing, flexibility, and GPU support. These features are critical to run computationally, data-intensive and hard to parallelize machine learning models. Declarative syntax of Kubernetes deployment descriptors makes it easy for non-operationally focused engineers to easily train machine learning models on Kubernetes. This talk will explain why and how Kubernetes is well suited for single and multi-node distributed training, deploying your machine learning models in production and setting up visualization tools like TensorBoard for monitoring. Specifically it will show how to set up a variety of open-source machine learning frameworks such as TensorFlow on a Kubernetes cluster. The attendees will learn distributed training, messaging and inference phases of setting up a Machine Learning framework on Kubernetes. Attendees will leave with a GitHub repo of fully working samples. Speaker: Arun Gupta Principal Technologist Amazon Web Services Profile: https://aws.amazon.com/developer/community/evangelists/arun-gupta/ Speaker Bio: Arun Gupta is a Principal Open Source Technologist at Amazon Web Services. He has been building and leading developer communities for 10+ years at Sun, Oracle, Red Hat and Couchbase. He has deep expertise in leading cross-functional teams to develop and execute strategy, planning, and execution of content, marketing campaigns, and programs. Prior to that he led engineering teams at Sun and is a founding member of the Java EE team.
- Amazon EC2 Spot Instances
*** This is a FREE meetup. Please DO NOT RSVP, instead fill this form to help us plan for better logistics - https://forms.gle/YhL3UNPuTAnCYhPp7 *** Optimize your EC2 costs by up to 90%, scale your application throughput by up to 10x and build a resilient service. ABSTRACT: Amazon EC2 Spot instances are compute instances provided from the spare pooled capacity of On-Demand EC2 infrastructure, offered with low, predictable prices - discounted upto 90% on the On-Demand instance prices - with a caveat of these instances being "interruptible" after a 2 min notification, if Amazon needs to pull back the Spot instances capacity to serve On-Demand customers. In this session delivered by Spot Specialist teams from Amazon, learn how customers are using EC2 Spot instances - not just as an attractive low cost purchase model for Cloud computing resources - but as an architectural approach to run applications with highly scalable compute resources, while working with instance interruptions to improve the resilience of their application services. SPEAKER: Chakravarthy Nagarajan (popularly known as Chakra) is a Spot Specialist SA at AWS since Aug’18. Chakra comes with 18+ years of overall experience - across areas of expertise including HPC and Bigdata. He has implemented and designed over 150+ HPC/BigData clusters in APAC across Industry segments. He has published some interesting white papers on HPC storage and Big Data earlier in his career. On the academic front, he is an International MBA graduate from United Business Institute, Brussels. The session will be structured as below: Welcome/Registration: 9:30 AM - 10:00 AM Conceptual Overview Presentation for EC2 Spot instances: 10:00 AM - 11:00 AM Hands on Demo of Spot Fleet and ASG: 11:00 AM - 11:15 AM Break/Refreshments: 11:15 AM - 11:45 AM Workload specific Spot integrations - (Auto-Scaling, EMR and Containers): 11:45 AM - 12:15 PM Pop Quiz, prizes announcement and Wrap up: 12:15 PM - 12:30 PM
- AWS Community Day - Conference
*** This is a paid event. Please purchase your tickets at https://konfhub.com/awsdaysblr *** AWS Community Days are community-organized cloud education events, featuring technical discussions and demos led by expert AWS users and industry leaders from around the world Community-based learning is the best way to enhance the concepts being taught by connecting with enthusiasts in person, thereby sharing first-hand experiences and familiar, accessible examples. All skills levels are welcome to help accomplish our motto of learning, sharing and networking. Let's join hands to empower this tech community to make it bigger and better! Renew, revive & revitalize to exemplify your excitement about the work you do Learn industry trends and intricacies about innovative implementations from AWS experts Harness the power of networking with 500+ AWS users, DevOps, developers & solutions architects Network with fellow AWS veterans & techies during breaks Novice to pioneer on a relentless pursuit to learn can rejoice the AWS offerings & success stories under one roof. Take helpful and valuable information back to business Gain visibility to get more publicity for your esteemed organisation