AWS Lambda: Best Practices and Common Mistakes - Dev Ops West 2019Derek Ashmore
Derek C. Ashmore gave a presentation on AWS Lambda best practices and common mistakes. He discussed what Lambdas are, their business benefits, and limitations. Ashmore provided code-level tips like including inputs and environment on exceptions. For operations and design, he recommended automating builds and deployments, limiting custom nesting, and using configuration injection without secrets. Lambdas are suitable for stateless workloads under 15 minutes like data processing, security tasks, and serving as microservices.
Aws lambda best practices - ignite - dev opsdays-charlotteDerek Ashmore
The document discusses best practices for AWS Lambda functions including:
1. Logging all inputs and environment variables on exceptions, checking arguments up front, and documenting the source repository to make support easier.
2. Separating Lambda code from business logic to improve reusability and local development/debugging.
3. Automating builds and deployments while only installing Lambda functions once to avoid duplicative work.
4. Using configuration injection and secrets managers instead of hardcoded secrets to improve security.
5. Avoiding heavy dependency packages to reduce cold start times.
AWS Certified Cloud Practitioner Course S7-S10Neal Davis
This deck contains the slides from our AWS Certified Cloud Practitioner video course. It covers:
Section 7 DNS, Elastic Load Balancing, and Auto Scaling
Section 8 Application Services
Section 9 Amazon VPC, Networking, and Hybrid
Section 10 Deployment and Automation
Full course can be found here: https://digitalcloud.training/courses/aws-certified-cloud-practitioner-video-course/
Picking the right AWS backend for your Java application (May 2017)Julien SIMON
This document summarizes options for Java application backends on AWS, including Amazon RDS, DynamoDB, EMR, Athena, and Redshift. It discusses database options like RDS, NoSQL options like DynamoDB, analytics options like EMR and Athena, and data warehousing with Redshift. Code examples and case studies are provided for each service to demonstrate how to integrate Java applications.
This document discusses AWS Lambda support for AWS X-Ray. It provides an overview of X-Ray and how it helps with debugging Lambda functions. The X-Ray SDK captures metadata for calls to AWS services, HTTP/HTTPS endpoints, databases, and queues to provide trace data without requiring manual instrumentation. This data can be used to visualize service graphs, identify performance bottlenecks and errors, and pinpoint issues to specific services. The document provides tips for getting started with X-Ray and notes some best practices when using Lambda.
AWS Community Day - Derek C. Ashmore - AWS Lambda: Best Practices AWS Chicago
Derek C. Ashmore - AWS Lambda: Best Practices and Common
Mistakes
Tips and tricks to make AWS Lambda functions usable in different contexts and easier to develop and support. Based on real-world examples, concrete examples for how to make AWS Lambda code easier and how to properly nest lambdas.
AWS Community Day
aws community day | midwest 2019
AWS Lambda Deployments: Best Practices and Common Mistakes O'Reilly Software...Derek Ashmore
Derek C. Ashmore gave a presentation on AWS Lambda deployments, best practices, and common mistakes. The presentation covered what AWS Lambdas are, their benefits and limitations, developing Lambda functions using different programming languages, deploying Lambdas using API Gateway and SNS, and tales from the field about common issues. The presentation provided resources for sample code and addressed questions about performance, using Lambdas for microservices, and the future of serverless computing.
AWS Lambda allows developers to run code without managing servers. It is a serverless computing platform that automatically scales compute capacity based on incoming requests or events. The guide discusses key Lambda concepts like triggers, execution environments, and function versions. It also provides steps to create a sample "Hello World" function using Java, including setting up development environments, deploying the function, and testing. In summary, AWS Lambda is a flexible and cost-effective option for building applications with varying workloads.
The document provides an in-depth overview of security aspects related to AWS Lambda. It discusses how Lambda functions are isolated from each other and run in microVMs for security. It also covers how Lambda functions can be monitored and audited using services like CloudWatch, CloudTrail, and X-Ray. The document provides best practices for architecting and operating Lambda functions securely while meeting compliance needs.
Lambda is AWS's serverless compute service that allows you to run code without provisioning or managing servers. Code is triggered by events and runs in isolated containers. Key points:
- Code is written as single functions that are triggered by events from AWS services or APIs
- Functions run in managed containers that are allocated memory and compute proportionally
- Functions are stateless and ephemeral, running code only in response to events
- AWS handles automatic scaling of functions based on event load and manages the underlying infrastructure
Getting Started with AWS Lambda and Serverless ComputingKristana Kane
This document provides an overview of AWS Lambda and serverless computing. It discusses AWS compute offerings like EC2, ECS, and Lambda. Lambda allows running code in response to events without provisioning or managing servers. Benefits include automatic scaling, pay per use, and built-in availability. Common use cases for Lambda include web applications, backends, data processing, chatbots, and IT automation. Best practices for Lambda include limiting function size, parameterizing code, and using versions and aliases. The document also provides examples of serverless applications and architectures using Lambda along with other AWS services.
AWS Lambda for Architects - Chicago Coder Conference -2016-06-07Derek Ashmore
Derek C. Ashmore gave a presentation on AWS Lambda. He began by introducing himself and his background. The presentation covered what AWS Lambda is, its benefits and limitations, developing Lambda functions, supporting Lambda, using Lambda for microservices, and implementation tips. Lambda allows users to run code without provisioning or managing servers. It is billed based on usage and allows scaling. However, there are limits on runtime environments and potential lock-in. The presentation provided examples of using Lambda with API Gateway and SNS/SQS.
Aws Lambda for Java Architects - Illinois JUG-Northwest -2016-08-02Derek Ashmore
Derek C. Ashmore presented on AWS Lambda for Java architects. He began with an overview of what AWS Lambdas are, which are custom codes that AWS runs on demand in a serverless computing model. Lambdas are event-driven and stateless. He then discussed developing Lambda functions using the RequestHandler interface in Java, deploying Lambda code, and supporting resources for Lambdas. Ashmore also covered using Lambdas for microservices and common patterns. In the question period, he acknowledged that Lambda documentation is lacking and cold start times can be inconsistent, while stateful optimizations are difficult.
Serverless on AWS: Architectural Patterns and Best PracticesVladimir Simek
When speaking about serverless on AWS, most people think about AWS Lambda. But there's more than than. AWS provides a set of fully managed services that you can use to build and run serverless applications. Serverless applications don’t require provisioning, maintaining, and administering servers for backend components such as compute, databases, storage, stream processing, message queuing, and more. You also no longer need to worry about ensuring application fault tolerance and availability. Instead, AWS handles all of these capabilities for you. This allows you to focus on product innovation while enjoying faster time-to-market.
Slides of the talk I gave at the CODE-Odense meetup about Serverless on AWS.
https://www.meetup.com/CODE-Odense/events/236413898/
Getting Started with AWS Lambda & Serverless CloudIan Massingham
This document provides an overview of serverless computing using AWS Lambda. It defines serverless computing as running code without servers by paying only for the compute time consumed. AWS Lambda allows triggering functions from events or APIs which makes it easy to build scalable back-ends, perform data processing, and integrate systems. Recent updates include support for Python, scheduled functions, VPC access, and versioning. The document demonstrates using Lambda for building serverless web apps and microservices.
AWS Lambda is Amazon's serverless computing platform that allows you to run code without provisioning or managing servers. Code is run in response to events and AWS automatically manages the computing resources. Key advantages are only paying for the compute time used and not having to manage servers. Lambda supports Node.js, Python, Java, and C# and functions can be triggered by events from services like S3, DynamoDB, and API Gateway. Functions are configured and coded within the Lambda management console. Pricing is based on number of requests and compute time used, with the first million requests and 400,000 GB-seconds of compute time being free each month.
Aws Lambda for Java Architects - JavaOne -2016-09-19Derek Ashmore
Derek C. Ashmore gave a presentation on AWS Lambda for Java architects. He began with an introduction of himself and his background. The presentation covered what AWS Lambda is, how to develop Lambda functions in Java, tools to support Lambda development, using Lambdas for microservices, and answered chief complaints about Lambda. Ashmore provided implementation tips and pointed to additional resources for further reading on AWS Lambda.
Aws Lambda for Java Architects CJug-Chicago 2016-08-30Derek Ashmore
This document provides an overview and agenda for a presentation on AWS Lambda for Java architects. The presentation covers:
- What AWS Lambdas are and their benefits and limitations
- Developing Lambda functions in Java, including implementing request handlers and using the execution context
- Tools for supporting Lambda functions, such as logging and third party libraries
- Using Lambdas for microservices and event-driven architectures
The agenda includes sections on the "What" and "Why" of AWS Lambda, developing Lambda functions, supporting Lambda functions, using Lambdas for microservices, and a summary with Q&A. Sample code examples are provided on the speaker's GitHub page.
Aws Lambda for Java Architects - Illinois VJug -2016-05-03Derek Ashmore
Derek C. Ashmore gave a presentation on AWS Lambda for Java architects. He began with an introduction of himself and his background. The presentation covered what AWS Lambdas are, their benefits and limitations. It discussed developing Lambda functions using the RequestHandler interface in Java and provided examples. It also covered supporting Lambda functions through services like API Gateway and resources like logging. Finally, it discussed using Lambdas for microservices and provided best practices.
10 Tips For Serverless Backends With NodeJS and AWS LambdaJim Lynch
The document provides 10 tips for building serverless backends with Node.js and AWS Lambda. It discusses how serverless architectures are cheaper and easier to manage than traditional servers. It then outlines each tip which includes how to create "Hello World" functions, pass data to Lambda functions, set up REST APIs, secure functions, send emails/texts, schedule functions, view logs, add additional Node.js libraries, and use Lambda with IoT devices.
AWS Lambda Documentation over the official website of AWS is highlighting the detailed explanations on the definitions, developer guide, API reference, and operations of Lambda.
To know more please visit https://www.whizlabs.com/blog/aws-lambda-documentation/
Speaker spoke about features and benefits of the AWS Lambda service and explained how to increase system performance by using AWS services.
This presentation by Mykhailo Brodskyi (Senior Software Engineer, Consultant, GlobalLogic, Kharkiv), was delivered at GlobalLogic Kharkiv Java Conference 2018 on June 10, 2018.
UiPath Community Berlin: Studio Tips & Tricks and UiPath InsightsUiPathCommunity
Join the UiPath Community Berlin (Virtual) meetup on May 27 to discover handy Studio Tips & Tricks and get introduced to UiPath Insights. Learn how to boost your development workflow, improve efficiency, and gain visibility into your automation performance.
📕 Agenda:
- Welcome & Introductions
- UiPath Studio Tips & Tricks for Efficient Development
- Best Practices for Workflow Design
- Introduction to UiPath Insights
- Creating Dashboards & Tracking KPIs (Demo)
- Q&A and Open Discussion
Perfect for developers, analysts, and automation enthusiasts!
This session streamed live on May 27, 18:00 CET.
Check out all our upcoming UiPath Community sessions at:
👉 https://community.uipath.com/events/
Join our UiPath Community Berlin chapter:
👉 https://community.uipath.com/berlin/
AWS Community Day - Derek C. Ashmore - AWS Lambda: Best Practices AWS Chicago
Derek C. Ashmore - AWS Lambda: Best Practices and Common
Mistakes
Tips and tricks to make AWS Lambda functions usable in different contexts and easier to develop and support. Based on real-world examples, concrete examples for how to make AWS Lambda code easier and how to properly nest lambdas.
AWS Community Day
aws community day | midwest 2019
AWS Lambda Deployments: Best Practices and Common Mistakes O'Reilly Software...Derek Ashmore
Derek C. Ashmore gave a presentation on AWS Lambda deployments, best practices, and common mistakes. The presentation covered what AWS Lambdas are, their benefits and limitations, developing Lambda functions using different programming languages, deploying Lambdas using API Gateway and SNS, and tales from the field about common issues. The presentation provided resources for sample code and addressed questions about performance, using Lambdas for microservices, and the future of serverless computing.
AWS Lambda allows developers to run code without managing servers. It is a serverless computing platform that automatically scales compute capacity based on incoming requests or events. The guide discusses key Lambda concepts like triggers, execution environments, and function versions. It also provides steps to create a sample "Hello World" function using Java, including setting up development environments, deploying the function, and testing. In summary, AWS Lambda is a flexible and cost-effective option for building applications with varying workloads.
The document provides an in-depth overview of security aspects related to AWS Lambda. It discusses how Lambda functions are isolated from each other and run in microVMs for security. It also covers how Lambda functions can be monitored and audited using services like CloudWatch, CloudTrail, and X-Ray. The document provides best practices for architecting and operating Lambda functions securely while meeting compliance needs.
Lambda is AWS's serverless compute service that allows you to run code without provisioning or managing servers. Code is triggered by events and runs in isolated containers. Key points:
- Code is written as single functions that are triggered by events from AWS services or APIs
- Functions run in managed containers that are allocated memory and compute proportionally
- Functions are stateless and ephemeral, running code only in response to events
- AWS handles automatic scaling of functions based on event load and manages the underlying infrastructure
Getting Started with AWS Lambda and Serverless ComputingKristana Kane
This document provides an overview of AWS Lambda and serverless computing. It discusses AWS compute offerings like EC2, ECS, and Lambda. Lambda allows running code in response to events without provisioning or managing servers. Benefits include automatic scaling, pay per use, and built-in availability. Common use cases for Lambda include web applications, backends, data processing, chatbots, and IT automation. Best practices for Lambda include limiting function size, parameterizing code, and using versions and aliases. The document also provides examples of serverless applications and architectures using Lambda along with other AWS services.
AWS Lambda for Architects - Chicago Coder Conference -2016-06-07Derek Ashmore
Derek C. Ashmore gave a presentation on AWS Lambda. He began by introducing himself and his background. The presentation covered what AWS Lambda is, its benefits and limitations, developing Lambda functions, supporting Lambda, using Lambda for microservices, and implementation tips. Lambda allows users to run code without provisioning or managing servers. It is billed based on usage and allows scaling. However, there are limits on runtime environments and potential lock-in. The presentation provided examples of using Lambda with API Gateway and SNS/SQS.
Aws Lambda for Java Architects - Illinois JUG-Northwest -2016-08-02Derek Ashmore
Derek C. Ashmore presented on AWS Lambda for Java architects. He began with an overview of what AWS Lambdas are, which are custom codes that AWS runs on demand in a serverless computing model. Lambdas are event-driven and stateless. He then discussed developing Lambda functions using the RequestHandler interface in Java, deploying Lambda code, and supporting resources for Lambdas. Ashmore also covered using Lambdas for microservices and common patterns. In the question period, he acknowledged that Lambda documentation is lacking and cold start times can be inconsistent, while stateful optimizations are difficult.
Serverless on AWS: Architectural Patterns and Best PracticesVladimir Simek
When speaking about serverless on AWS, most people think about AWS Lambda. But there's more than than. AWS provides a set of fully managed services that you can use to build and run serverless applications. Serverless applications don’t require provisioning, maintaining, and administering servers for backend components such as compute, databases, storage, stream processing, message queuing, and more. You also no longer need to worry about ensuring application fault tolerance and availability. Instead, AWS handles all of these capabilities for you. This allows you to focus on product innovation while enjoying faster time-to-market.
Slides of the talk I gave at the CODE-Odense meetup about Serverless on AWS.
https://www.meetup.com/CODE-Odense/events/236413898/
Getting Started with AWS Lambda & Serverless CloudIan Massingham
This document provides an overview of serverless computing using AWS Lambda. It defines serverless computing as running code without servers by paying only for the compute time consumed. AWS Lambda allows triggering functions from events or APIs which makes it easy to build scalable back-ends, perform data processing, and integrate systems. Recent updates include support for Python, scheduled functions, VPC access, and versioning. The document demonstrates using Lambda for building serverless web apps and microservices.
AWS Lambda is Amazon's serverless computing platform that allows you to run code without provisioning or managing servers. Code is run in response to events and AWS automatically manages the computing resources. Key advantages are only paying for the compute time used and not having to manage servers. Lambda supports Node.js, Python, Java, and C# and functions can be triggered by events from services like S3, DynamoDB, and API Gateway. Functions are configured and coded within the Lambda management console. Pricing is based on number of requests and compute time used, with the first million requests and 400,000 GB-seconds of compute time being free each month.
Aws Lambda for Java Architects - JavaOne -2016-09-19Derek Ashmore
Derek C. Ashmore gave a presentation on AWS Lambda for Java architects. He began with an introduction of himself and his background. The presentation covered what AWS Lambda is, how to develop Lambda functions in Java, tools to support Lambda development, using Lambdas for microservices, and answered chief complaints about Lambda. Ashmore provided implementation tips and pointed to additional resources for further reading on AWS Lambda.
Aws Lambda for Java Architects CJug-Chicago 2016-08-30Derek Ashmore
This document provides an overview and agenda for a presentation on AWS Lambda for Java architects. The presentation covers:
- What AWS Lambdas are and their benefits and limitations
- Developing Lambda functions in Java, including implementing request handlers and using the execution context
- Tools for supporting Lambda functions, such as logging and third party libraries
- Using Lambdas for microservices and event-driven architectures
The agenda includes sections on the "What" and "Why" of AWS Lambda, developing Lambda functions, supporting Lambda functions, using Lambdas for microservices, and a summary with Q&A. Sample code examples are provided on the speaker's GitHub page.
Aws Lambda for Java Architects - Illinois VJug -2016-05-03Derek Ashmore
Derek C. Ashmore gave a presentation on AWS Lambda for Java architects. He began with an introduction of himself and his background. The presentation covered what AWS Lambdas are, their benefits and limitations. It discussed developing Lambda functions using the RequestHandler interface in Java and provided examples. It also covered supporting Lambda functions through services like API Gateway and resources like logging. Finally, it discussed using Lambdas for microservices and provided best practices.
10 Tips For Serverless Backends With NodeJS and AWS LambdaJim Lynch
The document provides 10 tips for building serverless backends with Node.js and AWS Lambda. It discusses how serverless architectures are cheaper and easier to manage than traditional servers. It then outlines each tip which includes how to create "Hello World" functions, pass data to Lambda functions, set up REST APIs, secure functions, send emails/texts, schedule functions, view logs, add additional Node.js libraries, and use Lambda with IoT devices.
AWS Lambda Documentation over the official website of AWS is highlighting the detailed explanations on the definitions, developer guide, API reference, and operations of Lambda.
To know more please visit https://www.whizlabs.com/blog/aws-lambda-documentation/
Speaker spoke about features and benefits of the AWS Lambda service and explained how to increase system performance by using AWS services.
This presentation by Mykhailo Brodskyi (Senior Software Engineer, Consultant, GlobalLogic, Kharkiv), was delivered at GlobalLogic Kharkiv Java Conference 2018 on June 10, 2018.
UiPath Community Berlin: Studio Tips & Tricks and UiPath InsightsUiPathCommunity
Join the UiPath Community Berlin (Virtual) meetup on May 27 to discover handy Studio Tips & Tricks and get introduced to UiPath Insights. Learn how to boost your development workflow, improve efficiency, and gain visibility into your automation performance.
📕 Agenda:
- Welcome & Introductions
- UiPath Studio Tips & Tricks for Efficient Development
- Best Practices for Workflow Design
- Introduction to UiPath Insights
- Creating Dashboards & Tracking KPIs (Demo)
- Q&A and Open Discussion
Perfect for developers, analysts, and automation enthusiasts!
This session streamed live on May 27, 18:00 CET.
Check out all our upcoming UiPath Community sessions at:
👉 https://community.uipath.com/events/
Join our UiPath Community Berlin chapter:
👉 https://community.uipath.com/berlin/
Introducing FME Realize: A New Era of Spatial Computing and ARSafe Software
A new era for the FME Platform has arrived – and it’s taking data into the real world.
Meet FME Realize: marking a new chapter in how organizations connect digital information with the physical environment around them. With the addition of FME Realize, FME has evolved into an All-data, Any-AI Spatial Computing Platform.
FME Realize brings spatial computing, augmented reality (AR), and the full power of FME to mobile teams: making it easy to visualize, interact with, and update data right in the field. From infrastructure management to asset inspections, you can put any data into real-world context, instantly.
Join us to discover how spatial computing, powered by FME, enables digital twins, AI-driven insights, and real-time field interactions: all through an intuitive no-code experience.
In this one-hour webinar, you’ll:
-Explore what FME Realize includes and how it fits into the FME Platform
-Learn how to deliver real-time AR experiences, fast
-See how FME enables live, contextual interactions with enterprise data across systems
-See demos, including ones you can try yourself
-Get tutorials and downloadable resources to help you start right away
Whether you’re exploring spatial computing for the first time or looking to scale AR across your organization, this session will give you the tools and insights to get started with confidence.
Introducing the OSA 3200 SP and OSA 3250 ePRCAdtran
Adtran's latest Oscilloquartz solutions make optical pumping cesium timing more accessible than ever. Discover how the new OSA 3200 SP and OSA 3250 ePRC deliver superior stability, simplified deployment and lower total cost of ownership. Built on a shared platform and engineered for scalable, future-ready networks, these models are ideal for telecom, defense, metrology and more.
New Ways to Reduce Database Costs with ScyllaDBScyllaDB
How ScyllaDB’s latest capabilities can reduce your infrastructure costs
ScyllaDB has been obsessed with price-performance from day 1. Our core database is architected with low-level engineering optimizations that squeeze every ounce of power from the underlying infrastructure. And we just completed a multi-year effort to introduce a set of new capabilities for additional savings.
Join this webinar to learn about these new capabilities: the underlying challenges we wanted to address, the workloads that will benefit most from each, and how to get started. We’ll cover ways to:
- Avoid overprovisioning with “just-in-time” scaling
- Safely operate at up to ~90% storage utilization
- Cut network costs with new compression strategies and file-based streaming
We’ll also highlight a “hidden gem” capability that lets you safely balance multiple workloads in a single cluster. To conclude, we will share the efficiency-focused capabilities on our short-term and long-term roadmaps.
Jira Administration Training – Day 1 : IntroductionRavi Teja
This presentation covers the basics of Jira for beginners. Learn how Jira works, its key features, project types, issue types, and user roles. Perfect for anyone new to Jira or preparing for Jira Admin roles.
ELNL2025 - Unlocking the Power of Sensitivity Labels - A Comprehensive Guide....Jasper Oosterveld
Sensitivity labels, powered by Microsoft Purview Information Protection, serve as the foundation for classifying and protecting your sensitive data within Microsoft 365. Their importance extends beyond classification and play a crucial role in enforcing governance policies across your Microsoft 365 environment. Join me, a Data Security Consultant and Microsoft MVP, as I share practical tips and tricks to get the full potential of sensitivity labels. I discuss sensitive information types, automatic labeling, and seamless integration with Data Loss Prevention, Teams Premium, and Microsoft 365 Copilot.
Nix(OS) for Python Developers - PyCon 25 (Bologna, Italia)Peter Bittner
How do you onboard new colleagues in 2025? How long does it take? Would you love a standardized setup under version control that everyone can customize for themselves? A stable desktop setup, reinstalled in just minutes. It can be done.
This talk was given in Italian, 29 May 2025, at PyCon 25, Bologna, Italy. All slides are provided in English.
Original slides at https://slides.com/bittner/pycon25-nixos-for-python-developers
Co-Constructing Explanations for AI Systems using ProvenancePaul Groth
Explanation is not a one off - it's a process where people and systems work together to gain understanding. This idea of co-constructing explanations or explanation by exploration is powerful way to frame the problem of explanation. In this talk, I discuss our first experiments with this approach for explaining complex AI systems by using provenance. Importantly, I discuss the difficulty of evaluation and discuss some of our first approaches to evaluating these systems at scale. Finally, I touch on the importance of explanation to the comprehensive evaluation of AI systems.
Introduction and Background:
Study Overview and Methodology: The study analyzes the IT market in Israel, covering over 160 markets and 760 companies/products/services. It includes vendor rankings, IT budgets, and trends from 2025-2029. Vendors participate in detailed briefings and surveys.
Vendor Listings: The presentation lists numerous vendors across various pages, detailing their names and services. These vendors are ranked based on their participation and market presence.
Market Insights and Trends: Key insights include IT market forecasts, economic factors affecting IT budgets, and the impact of AI on enterprise IT. The study highlights the importance of AI integration and the concept of creative destruction.
Agentic AI and Future Predictions: Agentic AI is expected to transform human-agent collaboration, with AI systems understanding context and orchestrating complex processes. Future predictions include AI's role in shopping and enterprise IT.
Exploring the advantages of on-premises Dell PowerEdge servers with AMD EPYC processors vs. the cloud for small to medium businesses’ AI workloads
AI initiatives can bring tremendous value to your business, but you need to support your new AI workloads effectively. That means choosing the best possible infrastructure for your needs—and many companies are finding that the cloud isn’t right for them. According to a recent Rackspace survey of IT executives, 69 percent of companies have moved some of their applications on-premises from the cloud, with half of those citing security and compliance as the reason and 44 percent citing cost.
On-premises solutions provide a number of advantages. With full control over your security infrastructure, you can be certain that all compliance requirements remain firmly in the hands of your IT team. Opting for on-premises also gives you the ability to design your infrastructure to the precise needs of that team and your new AI workloads. Depending on the workload, you may also see performance benefits, along with more predictable costs. As you start to build your next AI initiative, consider an on-premises solution utilizing AMD EPYC processor-powered Dell PowerEdge servers.
Supercharge Your AI Development with Local LLMsFrancesco Corti
In today's AI development landscape, developers face significant challenges when building applications that leverage powerful large language models (LLMs) through SaaS platforms like ChatGPT, Gemini, and others. While these services offer impressive capabilities, they come with substantial costs that can quickly escalate especially during the development lifecycle. Additionally, the inherent latency of web-based APIs creates frustrating bottlenecks during the critical testing and iteration phases of development, slowing down innovation and frustrating developers.
This talk will introduce the transformative approach of integrating local LLMs directly into their development environments. By bringing these models closer to where the code lives, developers can dramatically accelerate development lifecycles while maintaining complete control over model selection and configuration. This methodology effectively reduces costs to zero by eliminating dependency on pay-per-use SaaS services, while opening new possibilities for comprehensive integration testing, rapid prototyping, and specialized use cases.
Measuring Microsoft 365 Copilot and Gen AI SuccessNikki Chapple
Session | Measuring Microsoft 365 Copilot and Gen AI Success with Viva Insights and Purview
Presenter | Nikki Chapple 2 x MVP and Principal Cloud Architect at CloudWay
Event | European Collaboration Conference 2025
Format | In person Germany
Date | 28 May 2025
📊 Measuring Copilot and Gen AI Success with Viva Insights and Purview
Presented by Nikki Chapple – Microsoft 365 MVP & Principal Cloud Architect, CloudWay
How do you measure the success—and manage the risks—of Microsoft 365 Copilot and Generative AI (Gen AI)? In this ECS 2025 session, Microsoft MVP and Principal Cloud Architect Nikki Chapple explores how to go beyond basic usage metrics to gain full-spectrum visibility into AI adoption, business impact, user sentiment, and data security.
🎯 Key Topics Covered:
Microsoft 365 Copilot usage and adoption metrics
Viva Insights Copilot Analytics and Dashboard
Microsoft Purview Data Security Posture Management (DSPM) for AI
Measuring AI readiness, impact, and sentiment
Identifying and mitigating risks from third-party Gen AI tools
Shadow IT, oversharing, and compliance risks
Microsoft 365 Admin Center reports and Copilot Readiness
Power BI-based Copilot Business Impact Report (Preview)
📊 Why AI Measurement Matters: Without meaningful measurement, organizations risk operating in the dark—unable to prove ROI, identify friction points, or detect compliance violations. Nikki presents a unified framework combining quantitative metrics, qualitative insights, and risk monitoring to help organizations:
Prove ROI on AI investments
Drive responsible adoption
Protect sensitive data
Ensure compliance and governance
🔍 Tools and Reports Highlighted:
Microsoft 365 Admin Center: Copilot Overview, Usage, Readiness, Agents, Chat, and Adoption Score
Viva Insights Copilot Dashboard: Readiness, Adoption, Impact, Sentiment
Copilot Business Impact Report: Power BI integration for business outcome mapping
Microsoft Purview DSPM for AI: Discover and govern Copilot and third-party Gen AI usage
🔐 Security and Compliance Insights: Learn how to detect unsanctioned Gen AI tools like ChatGPT, Gemini, and Claude, track oversharing, and apply eDLP and Insider Risk Management (IRM) policies. Understand how to use Microsoft Purview—even without E5 Compliance—to monitor Copilot usage and protect sensitive data.
📈 Who Should Watch: This session is ideal for IT leaders, security professionals, compliance officers, and Microsoft 365 admins looking to:
Maximize the value of Microsoft Copilot
Build a secure, measurable AI strategy
Align AI usage with business goals and compliance requirements
🔗 Read the blog https://nikkichapple.com/measuring-copilot-gen-ai/
Droidal: AI Agents Revolutionizing HealthcareDroidal LLC
Droidal’s AI Agents are transforming healthcare by bringing intelligence, speed, and efficiency to key areas such as Revenue Cycle Management (RCM), clinical operations, and patient engagement. Built specifically for the needs of U.S. hospitals and clinics, Droidal's solutions are designed to improve outcomes and reduce administrative burden.
Through simple visuals and clear examples, the presentation explains how AI Agents can support medical coding, streamline claims processing, manage denials, ensure compliance, and enhance communication between providers and patients. By integrating seamlessly with existing systems, these agents act as digital coworkers that deliver faster reimbursements, reduce errors, and enable teams to focus more on patient care.
Droidal's AI technology is more than just automation — it's a shift toward intelligent healthcare operations that are scalable, secure, and cost-effective. The presentation also offers insights into future developments in AI-driven healthcare, including how continuous learning and agent autonomy will redefine daily workflows.
Whether you're a healthcare administrator, a tech leader, or a provider looking for smarter solutions, this presentation offers a compelling overview of how Droidal’s AI Agents can help your organization achieve operational excellence and better patient outcomes.
A free demo trial is available for those interested in experiencing Droidal’s AI Agents firsthand. Our team will walk you through a live demo tailored to your specific workflows, helping you understand the immediate value and long-term impact of adopting AI in your healthcare environment.
To request a free trial or learn more:
https://droidal.com/
European Accessibility Act & Integrated Accessibility TestingJulia Undeutsch
Emma Dawson will guide you through two important topics in this session.
Firstly, she will prepare you for the European Accessibility Act (EAA), which comes into effect on 28 June 2025, and show you how development teams can prepare for it.
In the second part of the webinar, Emma Dawson will explore with you various integrated testing methods and tools that will help you improve accessibility during the development cycle, such as Linters, Storybook, Playwright, just to name a few.
Focus: European Accessibility Act, Integrated Testing tools and methods (e.g. Linters, Storybook, Playwright)
Target audience: Everyone, Developers, Testers