CONFIRMED TALKS
'Standing on the Shoulders of Giants - Embracing Serverless in the Enterprise'
Luc van Donkersgoed
Principal Engineer at PostNL | AWS Serverless Hero
PostNL has been building a strictly serverless application landscape since 2018. In this talk we will tell our story: a short history of PostNL, why we chose serverless, the results we achieved, and the challenges we faced.
ABSTRACT
Finding The Value Flywheel Effect
david anderson
Software engineer | Author of The Value Flywheel Effect
Modernization is everywhere but poorly understood. There is no framework, but there is a direction of travel. The challenge is that every company is different. Vendors can help us and offer us services, but they can't do it for us.
The mechanisms of the value flywheel effect will help you move from clarity of purpose to long-term value.
The Value Flywheel Effect, published in 2022, describes an approach to creating a Serverless-First organization that uses Well-Architected Socio-Technical ideas and Wardley Mapping to drive change.
Money-saving tips for the frugal serverless developer
YAN CUI
Independent Consultant: theburningmonk.com | AWS Serverless Hero
Dive into the world of serverless and explore common, costly mistakes and learn actionable tips for cutting down waste and reducing your AWS bill.
Whether you’re looking to cut down on CloudWatch costs or improve cost-efficiency for your serverless application, we’ve got some helpful tips for you.
Avoiding the big ball of mud with serverless event-driven architectures
Developer Advocate (Serverless) AWS | Full stack developer
EDA offers speed but risks chaos without careful implementation. This talk covers challenges, effective patterns, and governance to ensure scalable, maintainable EDAs, turning obstacles into innovation opportunities.
DAVID BOYNE
DAVID BOYNE
ECS or EKS: The great debate
Solutions Architect - AWS Public Sector - Aviation and Maritime
As businesses consider their container strategy on AWS, the EKS vs ECS debate often delays the decision making process. So which is the right choice? Well, it depends. With so many myths and jargon muddying the waters, let’s explore this topic together and give you a decision making framework to consider when facing these decisions.
Grace Shaffi
Lambda Performance Tuning
luca mezzalira
Principal Serverless Specialist Solutions Architect at Amazon Web Services (AWS) | O'Reilly Author
A collection of techniques that will enable the audience to heavily optimise their Lambda functions. This talk will reflect some of the optimisations present in my post: https://shorturl.at/mEPV4 Plus new suggestions like a new extension I’m working on right now for remotely loading ES modules
Headless eCommerce and with Identity
AWS Snr Solutions Architect & co-founder of AWS Cloud Women Manchester
Monolith to MACH (Microservices API Cloud Native Headless) with a splash of identity management - warts and all discussions on the choices made, what works well, what doesn’t and where we are today.
NICK TYSON
Senior Software Engineer & AWS Community Builder
Event-driven architectures offer a multitude of benefits, liberating our systems by enabling extendability, scalability, fault tolerance, and flexibility. However, the asynchronous nature of event-driven architectures challenges us to rethink our approaches towards our operations.
Navigating the testing of asynchronous architectures poses significant challenges, prompting questions about the “what,” “where,” “when,” and “how” of implementing effective testing strategies. Observability, release, and rollback strategies become ever more critical as they need to balance with the testing strategies.
In this talk, Sarah answers some of these difficult questions and drives a conversation around building reliable and resilient event-driven architectures.
Sarah Hamilton
Sarah hamilton
Solving data challenges embracing serverless simplicity
Fabrizio Gattuso
Solution Architect at Nordcloud
Embark on a transformative tech journey, sidestepping traditional data tools for a serverless experience with AWS Athena, Step Functions, and Lambda. Seamlessly manage terabytes of CloudWatch and CloudTrail logs, employing diverse file formats and parallel execution. Witness the alchemy of compressing and transforming data, turning complexity into a low code (no-ETL) pipeline tailored on the customer use case. This journey not only delivers practical insights but also unveils cost-saving strategies, ensuring efficiency and value to the solution. Leave behind the complexities of heavy engineering and enter a realm where serverless simplicity converges with optimized data processing. Now, individuals with minimal data experience can effortlessly construct products with ease.
AWS No Code Challenge
CHRIS DOBSON
Senior software engineer: Trustpilot
AWS Solutions Architect Pro | AWS DevOps Engineer Pro | AWS Security Specialty | AWS Subject Matter Expert
As AWS has been adding more and more direct service integrations I thought it would be interesting to try and create a service using just service integrations without writing any code. Spoiler it was!
Rather than just a CRUD API I recreated one of my teams actual production workloads including an API, workflow orchestration and events.
This talk will show how I built the workflow using these AWS services:
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API Gateway
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DynamoDB
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EventBridge Bus
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EventBridge Pipes
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EventBridge Scheduler
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SNS
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SQS
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Step Functions
The architect elevator: Connecting the boardroom and IT
Gregor Hohpe
Principal Evangelist at AWS
I've been called the "IT transformation jester" - unbiased, trusted, influential, and witty. My unlikely career path allowed me to learn entrepreneurship in a Silicon Valley startup, strategy at Deloitte, agile development at ThoughtWorks, internet-scale engineering at Google, and IT transformation at Allianz. Now I combine all of them to solve IT problems by seeing them from more angles.
Vadym Kazulkin
Head Of Development at ip.labs, AWS Community Builder
In this talk we’ll use a standard serverless application that uses API Gateway, Lambda, DynamoDB, SQS, SNS, Kinesis, Step Functions, Aurora (Serverless) (and other AWS-managed services). We’ll explore how Amazon DevOps Guru recognizes operational issues and anomalies like increased latency and error rates (timeouts, throttling and increased latency). We will also explore DevOps Guru “Proactive Insights” which recognize configurational anti-patterns like missing failure destination on Kinesis Data Streams or DLQ on SQS or over-provisioning of AWS services like DynamoDB tables. We’ll also integrate DevOps Guru with PagerDuty to provide even better incident management.
Amazon DevOps Guru analyzes data like application metrics, logs, events, and traces to establish baseline operational behavior and then uses ML to detect anomalies. The service uses pre-trained ML models that are able to identify spikes in application requests, so it knows when to alert and when not to.
Building And Automating Serverless Auto-Scaling Data Pipelines In AWS
Damien Jones
UK Data Engineer / Creator at amazonwebshark.com
The modern data professional navigates a dynamic data landscape, handling high-velocity raw data at ever-changing volumes. In this intermediate session, I demonstrate a fully serverless auto-scaling data pipeline using AWS services.
This session includes:
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Getting and storing API data with AWS Lambda and Amazon S3.
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Transforming the API data with AWS Glue & Amazon Athena.
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Pipeline automation and orchestration with AWS Step Functions and Amazon EventBridge.
Ideal for Data, DevOps, and Architecture professionals, this session offers practical insights into building efficient serverless data pipelines. Join to enhance your skills and explore the latest in Data Engineering and AWS.
Rust or not to Rust
Daniele Frasca
AWS Serverless Community Builder
The modern data professional navigates a dynamic data landscape, handling high-velocity raw data at ever-changing volumes. In this intermediate session, I demonstrate a fully serverless auto-scaling data pipeline using AWS services.
This session includes:
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Getting and storing API data with AWS Lambda and Amazon S3.
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Transforming the API data with AWS Glue & Amazon Athena.
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Pipeline automation and orchestration with AWS Step Functions and Amazon EventBridge.
Ideal for Data, DevOps, and Architecture professionals, this session offers practical insights into building efficient serverless data pipelines. Join to enhance your skills and explore the latest in Data Engineering and AWS.
Empower your business with GenAI on Modern Serverless Applications on AWS
Urmila Raju
Senior solutions architect at AWS
This session will describe various Gen AI use cases and how we can leverage the existing AWS Serverless services in conjunction with the new feature announcements of Amazon Bedrock to implement the use cases. The session will showcase a demo at the end of the session to bring the GenAI use case to life, highlight the business outcomes and provide resources to enable the audience to use it for their business problems.
Data Driven Well Architected
Matt Houghton
Data Architect at CDL Software
In this session I’ll be talking about how you can use data from the Well Architected Tool to drive improvements in software development.
I will demo how to extract data from the WA tool and then show how I’ve used QuickSight to build dashboards that profile risks across an organisations architecture.
I’ll show how you can improve design review transparency and tailor well architected to your organisation or industry specific needs with custom lenses.
Above all I will show a data driven approach to identifying trends for improvements across a software development organisation.
Zero to Production Serverless: 8-Week Real-World Journey
Martyn Kilbryde
Head of Engineering at Chemist4U
A large contract is signed and you are given the challenge to integrate two businesses and build a customer portal capable of taking payments, along with an admin portal. Could you and your team confidently deliver on time?
In this session, you’ll see this real-world project journey, from concept to production in only eight weeks. From choosing the technologies, utilising Infrastructure-as-Code, to the challenges of rapid development with a small team. Expect practical insights, mistakes, tips, and how using the right technologies and development process can deliver results fast.
