mar 20 apps, Genai, analytics, kubernetes, devops
Cloud native, migration, modernization, open source
This webinar features presentations around Applications, Cloud Native Design, Modernization vs Migration, Generative AI Solutions and Integration with Data Analytics Platforms, Kubernetes, Open Source, DevOps and more, covering multiple topics like the ones listed below.
Angelbeat provides a unique opportunity to understand and compare offerings from AWS and Microsoft, plus many other industry leaders, in this technical and focused program.
Click on the green button above to register, scroll down to see the full and detailed agenda, plus expert speakers. Click on their name to view their Linkedin profile, and session title for additional information.
Kubernetes, Containers, Microservices and Serverless Application Architecture
Cloud Native Design, Application Modernization vs Migration, Performance and Cost Consideration
Generative AI/LLM Application Design
DevSecOps, Application Security, DevOps, CI/CD, Open Source
Data Analytics, Data Silo Elimination across Data Warehouse, Data Base, Data Lake
Data Ingestion/Analysis across all Data Types: Structured, Unstructured, File, Text, Video, etc.
Data Storage Options, Primary to Archive, plus Data Protection, Resiliency, Backup, Ransomware Recovery
Data Governance, Controls and Management/Oversight, across IT and Line-of-Business
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1:05 Joe Correa, Solutions Engineer, Wiz
Application and Generative AI Security Posture Management: Accelerate your Generative AI innovation with Wiz’s Application and AI Security Posture Management (AI-SPM) capabilities, providing full-stack visibility into your AI pipelines and risks.
1:22 Anil Inamdar, Global Head of Data Services, Instaclustr Business Unit, NetApp
Enterprise Platform Engineering, the Open Source Way: Platform engineering is one of the hottest topics in enterprise software development, and with good reason. It bridges the gap between pie-in-the-sky claims about accelerating application development (and ROI), and the boots-on-the-ground reality of most software teams—which are often already stretched thin while being asked to support increasingly ambitious business goals.
While there is no one-size-fits-all approach to platform engineering, it’s becoming increasingly clear that open-source software and projects are absolutely vital to its success. This talk will help you understand why and how you benefit by including open source in your platform engineering blueprint, and how to ensure the most success from that strategy.
1:39 Microsoft Generative AI Session
Simi Olabisi, Director, AI Specialist, Global Black Belt, Microsoft
Andrew Thomas, AI/ML Technical Specialist, Microsoft
Meet Generative AI Application Demands at Scale, with Purpose-Built AI Infrastructure: Discover how to leverage purpose-built Azure AI Infrastructure for accelerated innovation and build a scalable, cost-effective application/solution.
1:56 Krishna Thiagarajan, Senior Vice President and Head, Analytics, Insights & Data, Virtusa
Generative AI-Powered Application Design and Integration with Data Analytics, Data-Driven Decision Making: In today's dynamic landscape, businesses are swiftly transitioning from technology-driven to data-driven approaches to enrich customer experiences and foster growth. This evolution entails prioritizing analytics, instituting a global data organization, recognizing data as a strategic asset, leveraging data and analytics for competitive advantage, and fostering business innovation.
Explore valuable insights to kickstart your data-driven transformation journey as we delve into expertise that unlocks the full potential of your data, empowering your business with actionable insights and innovative strategies.
2:13 Andrew Peter, Product Lead, Ternary
Optimize Costs While Modernizing Applications: Organizations worldwide are modernizing legacy apps to increase innovation and gain a competitive advantage. Once they begin operating cloud-native apps, it’s important to continuously optimize infrastructure and control costs. Purpose-built for FinOps, Ternary empowers organizations to effectively manage costs across clouds and Kubernetes.
2:16 Han Tran, Senior Solutions Architect & Team Lead, AWS
AI-Powered Predictive Data Analytics: Predictive analytics is the study of historical and current data to make future predictions. It uses a mixture of advanced mathematical, statistical, and machine learning techniques to analyze data to determine and extrapolate hidden trends. Many businesses and organizations use predictive analytics to guide future decisions. For example, marketing analysts use predictive analytics to determine future sales for their products, weather stations use it to forecast weather, and stockbrokers use it to maximize trading returns.
Learn how predictive analytics fit with other types of data analytics shown below, plus integrating these capabilities with Generative AI solutions to produce business value.
Descriptive Analytics identifies what has happened in the past through historical analysis
Diagnostic Analytics uses historical data to explain why something happened in the past
Predictive Analytics predicts future trends based on patterns found in historical and current data
Prescriptive Analytics prescribes future actions and decisions, allowing businesses to optimize decision-making
2:33 Aarthi Murugan, Senior Technical Program Manager, Technical Strategy, Microsoft
Build right and deploy faster containers with Container Apps: When you're migrating and modernizing apps, how do you take full advantage of the cloud? By refactoring apps as a set of microservices, running for a short duration when needed, deployed into a secure container infrastructure, ready for production. For these scenarios, the Azure Container Apps Landing Zone Accelerator can help you start with recommended practices included to speed up your production process.
2:50 Matt Slotten, Principal Solutions Architect, Cloud-Native Technical Partnerships, Veeam
Data Protection and Mobility for Cloud Native Workloads: Learn about Kubernetes native data protection, which enables seamless backup and restore, disaster recovery, and application mobility for Kubernetes applications at scale. With Veeam, teams also achieve radical resilience against ransomware attacks.
3:07 Tracy Walker, Sr. Solution Engineer/Security Specialist, SUSE
Enterprise Container and Kubernetes Clusters Management, Deliver Innovation to Market Faster: In the age of digital transformation, monolithic stacks from legacy vendors are expensive to maintain and can limit developer innovation. Technology leaders must look to proven enterprise container management (ECM) platforms like Rancher from SUSE for the agility they need to build differentiating products and services faster than the competition, without compromising on security and reliability.
Rancher specifically addresses the operational and security challenges of managing multiple Kubernetes clusters across any infrastructure, by providing DevOps teams with integrated tools for running containerized workloads.
Learn how to use these innovative, open source, cloud-native technologies, to build, secure, and manage your enterprise-grade applications faster, from core to cloud to edge.