Danilo Poccia
Employers on the program
- 2019–2022Amazon Web Services7 talks
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | breakout | Building observable applications with OpenTelemetry as AWS In this demo-focused session, review how OpenTelemetry works and how you can use it to instrument your applications. The session starts with an existing…Show lessIn this demo-focused session, review how OpenTelemetry works and how you can use it to instrument your applications. The session starts with an existing application running on containers and serverless functions and demos how to make it observable using AWS Distro for OpenTelemetry to collect telemetry data such as logs, metrics, and traces. | SlidesVideo |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | breakout | Lift and shift a web application to serverless: Yes, it’s possible! as AWS This session takes you on a migration journey. See an example of how to do a lift and shift migration of an existing web application to the cloud and serverless…Show lessThis session takes you on a migration journey. See an example of how to do a lift and shift migration of an existing web application to the cloud and serverless services, such as AWS Lambda, AWS Amplify, Amazon Cognito, Amazon S3, and others. | SlidesVideo |
| Nov 29, 2021 | AWS re:Invent 2021 | AWS re:Invent | breakout | Analyze time-series data in real time and in your data lake as Amazon Web Services Time-series data can be found anywhere, from DevOps metrics to gaming applications and IoT devices. Traditional operational or analytical databases do not fit…Show lessTime-series data can be found anywhere, from DevOps metrics to gaming applications and IoT devices. Traditional operational or analytical databases do not fit the time-series model and can be complex to manage and difficult to scale. | SlidesVideo |
| Nov 29, 2021 | AWS re:Invent 2021 | AWS re:Invent | breakout | Using events and workflows to build distributed applications as AWS Modern applications are built by connecting multiple services together. What is the best way to coordinate the work of these different services? | SlidesVideo |
| Nov 30, 2020 | AWS re:Invent 2020 | AWS re:Invent | breakout | Analyzing data at any scale with AWS LambdaAWS Lambda functions provide a powerful compute environment that can be used to process and gain insights from data stored in databases, Amazon Aurora, object…Show lessAWS Lambda functions provide a powerful compute environment that can be used to process and gain insights from data stored in databases, Amazon Aurora, object storage, and file systems. This session reviews options and techniques to optimize your data analytics platform without managing a server, and it focuses on unstructured (Amazon S3 and Amazon EFS) and structured (Amazon DynamoDB and... | SlidesVideo |
| Nov 30, 2020 | AWS re:Invent 2020 | AWS re:Invent | breakout | How LEGO.com accelerates innovation with serverless as AWS After experiencing scaling issues on Black Friday, the LEGO team fully refactored its monolith to serverless microservices on AWS. In this session, LEGO Senior…Show lessAfter experiencing scaling issues on Black Friday, the LEGO team fully refactored its monolith to serverless microservices on AWS. In this session, LEGO Senior Engineering Manager and AWS Serverless Hero Sheen Brisals shows you how LEGO.com rebuilt a monolith into an event-driven architecture with Amazon EventBridge and AWS Step Functions at its core. | SlidesVideo |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | workshop | [REPEAT 1] Take an ML model from idea to production using Amazon SageMaker as Amazon Web Services Come build the most accurate text-classification model possible with Amazon SageMaker. This service lets you build, train, and deploy ML models using built-in…Show lessCome build the most accurate text-classification model possible with Amazon SageMaker. This service lets you build, train, and deploy ML models using built-in or custom algorithms. | Slides |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | breakout | [REPEAT 1] The serverless journey of shop.LEGO.com as Amazon Web Services Connecting the LEGO play experience with millions of people requires an innovative platform. This has fueled the cloud migration of the legacy e-commerce…Show lessConnecting the LEGO play experience with millions of people requires an innovative platform. This has fueled the cloud migration of the legacy e-commerce application. | SlidesVideo |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Aashmeet Kalra | 4 | — | 2022 |
| Aditya Bindal | 4 | — | 2022 |
| Alex DeBrie | 4 | — | 2022 |
| Ali Saidi | 4 | — | 2022 |
| Andrew Baird | 4 | — | 2022 |
| Andy Hopper | 4 | — | 2022 |
| Becky Weiss | 4 | — | 2022 |
| Boaz Ziniman | 4 | — | 2022 |
| Brian Terry | 4 | — | 2022 |
| Brigid Johnson | 4 | — | 2022 |
| Chris Munns | 4 | — | 2022 |
| Colm MacCárthaigh | 4 | — | 2022 |
| Craig Wicks | 4 | — | 2022 |
| Darryl Osborne | 4 | — | 2022 |
| David Yanacek | 4 | — | 2022 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.