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AWS for Software Companies Podcast

AWS for Software Companies Podcast

Auteur(s): Amazon Web Services
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Stay current on new cloud trends. Top software companies, respected industry analysts, and experienced consultants join Amazon Web Services leaders to talk about the cloud topics that matter to you—including the latest in AI, migration, Software-as-a-Service, and more. We produce new episodes regularly.

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Épisodes
  • Ep112: Transforming Product Development with AI - Miro and The Art of the Possible

    Ep112: Transforming Product Development with AI - Miro and The Art of the Possible
    Jun 27 2025
    Jeff Chow, Chief Product and Technology Officer at Miro, explores how harnessing AI — in addition to reshaping teams and workflows — accelerates the product development lifecycle. He also shares insight into how Miro is embracing new technology and ways of working to transform its Innovation Workspace.Topics Include:Platform & PartnershipMiro serves 250,000+ customers with 90+ million knowledge workers using their Innovation WorkspacePlatform supports discovery, definition, and delivery phases of innovation processReal-time multiplayer canvas enables team co-creation across multiple formats, including seamless transitions between structured and unstructured work.Three-tier AWS partnership: infrastructure backbone, AI services (Bedrock/Q), and joint customer solutionsInnovation Challenges & FrictionProduct development lifecycle bottlenecks: separate tools per function create process delays and collaborative frictionPain points include stalled product kickoffs, lengthy design ideation cycles, and process delays from engineering architecture discussions.Leadership struggles with project visibility and strategic alignment across initiativesAI TransformationAI fundamentally shifts workflows with universal knowledge access at fingertipsCraft democratization blurs traditional role boundaries (PMs prototyping, developers designing)Agentic workflows and agents collapse traditional development stack layersAI shortcuts enable one-button synthesis of workshops into product briefsProduct development lifecycle compression from 20 steps to 5 key phasesBedrock and Q services create significant business accelerationOrganizational DesignCommon organizational rhythms and rituals create shared working languageDriving maximum impact by aligning on big initiatives vs. distributed prioritiesCollaborating across all functions — product, engineering, design — and at all organizational levelsBottom-up innovation requiring clear problem communication throughout organizationInclusive environments welcoming ideas from junior and introverted team membersWorking backwards planning and PR FAQs adopted from Amazon methodologiesCreating the next big thing with MiroLarge enterprises use Miro for strategic planning, OKR planning, capacity planning, roadmappingVisual proof-of-concepts and live demos make abstract concepts tangibleSame-day product brief delivery improves team collaboration and ownershipVoice of customer integration: automated synthesis of feedback into feature developmentMiro uses Miro internally to build next-generation featuresEnhanced employee engagement alongside improved business outcomesCustomers consistently achieve 2-3x time-to-market improvementsParticipants:Jeff Chow – Chief Product and Technology Officer, MiroJohan Broman – EMEA ISV Head of Solutions Architecture, AWSFurther Links:Website: https://miro.com/page/product-leaders/Miro in the AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
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    31 min
  • Ep111: The Architecture of Growth: Sonar's Evolution to Multi-Region SaaS

    Ep111: The Architecture of Growth: Sonar's Evolution to Multi-Region SaaS
    Jun 25 2025

    Andrea Malagotti, CTO of Sonar, discusses how the company successfully transitioned from on-premise to SaaS, leveraging AWS partnership and maintaining focus on developer-centric code quality and security solutions.

    Topics Include:

    • Andrea Malagotti is CTO of Sonar, guest on podcast
    • Sonar founded 16+ years ago by three software engineers
    • Founders wanted to help developers understand code quality issues
    • Focus on giving developers precise, actionable insights for improvement
    • Products include SonarQube Server, Cloud, and IDE versions
    • Recent acquisitions: ACR, Tidelift, and Structure 101 companies
    • SaaS journey began seven years ago with SonarQube Cloud
    • Initially targeted individual developers, then expanded to enterprises
    • Now multi-region with comprehensive enterprise features available
    • Seven million developers rely on Sonar's solutions globally
    • 400,000 organizations and 28,000 enterprise customers use Sonar
    • Started SaaS to test market demand, not assumptions
    • Engaged customers early to understand migration requirements needed
    • Recommends alpha versions with design customers for feedback
    • Free tier for open-source code enables quick trial
    • Enterprise certifications (ISO 27001, SOC 2) build trust
    • AWS partnership includes enterprise support and technical resources
    • Used CDK for infrastructure-as-code, experienced early adoption challenges
    • Multi-region strategy should be considered from the beginning
    • AWS Learning partnership certified all engineers in cloud
    • Cloud enables faster development cycles than traditional infrastructure
    • Recommends avoiding architectural one-way doors during transition
    • Consider data residency requirements for global customer base
    • AI-generated code creates productivity gains but needs validation
    • Sonar provides deterministic rules for AI-generated code review
    • Working on MCP protocol and AI code quality solutions
    • Security approach is "start left" not "shift left"
    • Advanced Security offering includes dependency scanning and vulnerabilities
    • Available on sonarsource.com and AWS Marketplace
    • Free tier offers 50,000 lines of code analysis


    Participants:

    • Andrea Malagodi – Chief Technical Officer, Sonar


    Further Links:

    • Website: www.sonarsource.com
    • Sonar in the AWS Marketplace


    See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
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    28 min
  • Ep110: Redefining Network Detection & Response with Generative AI – The Partnership of ExtraHop Networks and AWS

    Ep110: Redefining Network Detection & Response with Generative AI – The Partnership of ExtraHop Networks and AWS
    Jun 23 2025

    Kanaiya Vasani, Chief Product Officer, explains how ExtraHop leverages AWS services and generative AI to help enterprise customers address the growing security challenges of uncontrolled AI adoption.

    Topics Include:

    • ExtraHop reinventing network detection and response category
    • Platform addresses security, performance, compliance, forensic use cases
    • Behavioral analysis identifies potential security threats in infrastructure
    • Network observability and attack surface discovery capabilities included
    • Application and network performance assurance built-in features
    • Traditional IDS capability with rules and IOCs detection
    • Packet forensics for investigating threats and wire evidence
    • Cloud-native implementations and compromised credential investigation support
    • ExtraHop partnership with AWS spans 35-40 different services
    • AWS handles infrastructure while ExtraHop focuses core competencies
    • ExtraHop early adopter of generative AI in NDR
    • Natural language interface enables rapid data access queries
    • English questions replace complex query languages for users
    • Agentic AI experiments focus on SOC automation workflows
    • L1 and L2 analyst workflow automation improves productivity
    • Shadow AI creates major risk concern for customers
    • Uncontrolled chatbot usage risks accidental data leakage
    • Governance structures needed around enterprise gen AI usage
    • Visibility required into LLM usage across infrastructure endpoints
    • AI innovation pace challenges security industry keeping up
    • Models evolved from billion to trillion parameters rapidly
    • Traditional security tools focus policies, miss real-time activity
    • "Wire doesn't lie" - network traffic reveals actual behavior
    • ExtraHop maps baseline behavior patterns across infrastructure endpoints
    • Anomalous behavioral patterns flagged through network traffic analysis
    • MCP servers enable LLM access through standardized protocols
    • Stolen tokens allow adversaries unauthorized MCP server access
    • Machine learning identifies anomalous traffic patterns L2-L7 protocols
    • Gen AI automates incident triage, investigation, response workflows
    • Best practices include clear policies, governance, monitoring, education


    Participants:

    • Kanaiya Vasani – Chief Product Officer, ExtraHop Networks


    See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/


    Notes:
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    18 min

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