Donnie Prakoso
where else to find them
linkedin:donnieprakoso
devto:donnieprakoso
what they talk about
all 7 in the filters
where they keep going back
no series more than once — all 5 in the filters
on a stage with
- Steve Teoonce
who talks about the same things
- Ran Isenberg6 talks
- Ari Palo3 talks
- Vincent Lesierse1 talk
- Danilo Poccia16 talks
- Steve Roberts3 talks
- Alex Casalboni12 talks
| title | conference | date |
|---|---|---|
| DevOps in practice for beginners | DevOpsDays Singapore 2024 | 2024-03-21 |
Builds a working serverless API (API Gateway + two Lambdas + DynamoDB) from CDK code, synthesizes to CloudFormation and deploys — curl proves the endpoint… | ||
| Recap of Top re:Invent 2022 Announcements | AWS Community Day Singapore 2023 | 2023-01-28 |
Recap lists concrete launches and how to use them: AWS Application Composer (preview) turns drag‑and‑drop diagrams into deployable SAM templates and syncs with… | ||
| Orchestrating Workflow for Microservices Integration | Apidays Live Hong Kong 2020 | 2020-10-08 |
Shows how to implement reliable orchestration for microservices using AWS Step Functions with concrete artifacts: a JSON state machine in Amazon States… | ||
| AWS DeepRacer:train, Evaluate, and Tune Your Reinforcement Learning Model | AWS Summit Online EMEA 2020 | 2020-09-01 |
AWS DeepRacer teaches hands‑on reinforcement learning by training 1/18‑scale autonomous car models in the AWS DeepRacer Console using AWS RoboMaker for… | ||
| Streaming and Real-time Analytics | AWS Summit Online EMEA 2020 | 2020-09-01 |
Shows a concrete real-time pipeline using Amazon Kinesis (Data Streams, Firehose, Data Analytics), Amazon MSK option, Lambda, DynamoDB and QuickSight, claiming… | ||
| AWS DeepRacer: Train, Evaluate, and Tune | AWS Summit Online 2020 | 2020-05-13 |
AWS DeepRacer is a hands‑on RL system that trains 1/18‑scale cars in a Robomaker simulator, using SageMaker for PPO model updates and storing logs/models in… | ||
| Streaming and Real-Time Analytics | AWS Summit Online 2020 | 2020-05-13 |
Covers concrete streaming stacks and outcomes: uses Amazon Kinesis Data Streams, Firehose, Kinesis Data Analytics, MSK, Lambda, S3, DynamoDB, Redshift… | ||
| nothing matches | ||