AWS Community Day Bangladesh is the nation's premier, community-led cloud conference, built for the community, by the community. It’s a vibrant gathering of students, developers, architects, engineers, and tech leaders who are passionate about Amazon Web Services and cloud computing.
What to Expect from ACD Bangladesh? - 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 relentless pursuit to learn can rejoice the AWS offerings & success stories under one roof.. - Take helpful and valuable information back to business. 7. Gain visibility to get more publicity for your esteemed organization. - Sporting chance for active participants to win AWS goodies.
CFP Description:
The AWS Community Day event is a community-led conference and we are looking for any kind of session provided from the community for the community. We welcome sessions around all topics related to AWS like e.g. cloud-native software development, container technologies, big data, IoT and machine learning, innovative applications and architectures, security, etc. While the focus will be at technical sessions targeting the 300-400 level, we also welcome a smaller number of introductory sessions. Regular sessions should aim for a ~25 min talking time followed by a 5-10 minutes Q&A. We especially welcome speaker from all kinds of background and strive to make this an open, safe and supportive environment for the entire and diverse AWS community.
Guidelines:
📍 Language: Primarily English for sharing online.
📍 Videos of talk including the slides will be recorded and published online.
📍 Talk Duration: Maximum 60 mins followed by a 5-10 minutes Q&A.
Talks that will get prioritized:
ECS, EKS, Lambda, Api Gateway, EC2, ELB, Auto Scaling, Serverless, Micro-Service, RDS, DynamoDB, ML/AI
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