AWS for Software Companies Podcast

De: Amazon Web Services
  • Resumen

  • 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.

    © 2025 Amazon Web Services
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Episodios
  • Ep084: Accelerating ISV Modernization: SoftServe's Six-Month Success Formula
    Mar 17 2025

    Ruslan Kusov of SoftServe presents how their Application Modernization Framework accelerates ISV modernization, assesses legacy code, and delivers modernized applications through platform engineering principles.

    Topics Include:

    • Introduction of Ruslan Kusov, Cloud CoE Director at SoftServe
    • SoftServe builds code for top ISVs
    • Success case: accelerated security ISV modernization by six months
    • Healthcare tech company assessment: 1.6 million code lines in weeks
    • Business need: product development acceleration for competitive advantage
    • Business need: intelligent operations automation
    • Business need: ecosystem integration and "sizeification" to cloud
    • Business need: secure and compliant solutions
    • Business need: customer-centric platforms with personalized experiences
    • Business need: AWS marketplace integration
    • Distinguishing intentional from unintentional complexity
    • Platform engineering concept introduction
    • Self-service internal platforms for standardization
    • Applying platform engineering across teams (GenAI, CSO, etc.)
    • No one-size-fits-all approach to modernization
    • SAMP/SEMP framework introduction
    • Core components: EKS, ECS, or Lambda
    • Modular structure with interchangeable components
    • Case study: ISV switching from hardware to software products
    • Four-week MVP instead of planned ten weeks
    • Six-month full modernization versus planned twelve months
    • Assessment phase importance for business case development
    • Calculating cost of doing nothing during modernization decisions
    • Healthcare customer case: 1.6 million code lines assessed
    • Benefits: platform deployment in under 20 minutes
    • Benefits: 5x reduced assessment time
    • Benefits: 30% lower infrastructure costs
    • Benefits: 20% increased development productivity with GenAI
    • Integration with Amazon Q for developer productivity
    • Closing Q&A on security modernization and ongoing management


    Participants:

    • Ruslan Kusov – Cloud CoE Director, Softserve


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

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    23 m
  • Ep083: Navigating the AWS Bedrock Journey: Planview's AI Evolution
    Mar 13 2025

    Richard Sonnenblick and Lee Rehwinkel of Planview discuss their transition to Amazon Bedrock for a multi-agent AI system while sharing valuable implementation and user experience lessons.

    Topics Include:

    • Introduction to Planview's 18-month journey creating an AI co-pilot.
    • Planview builds solutions for strategic portfolio and agile planning.
    • 5,000+ companies with millions of users leverage Planview solutions.
    • Co-pilot vision: AI assistant sidebar across multiple applications.
    • RAG used to ingest customer success center documents.
    • Tracking product data, screens, charts, and tables.
    • Incorporating industry best practices and methodologies.
    • Can ingest customer-specific documents to understand company terminology.
    • Key benefit: Making every user a power user.
    • Key benefit: Saving time on tedious and redundant tasks.
    • Key benefit: De-risking initiatives through early risk identification.
    • Cost challenges: GPT-4 initially cost $60 per million tokens.
    • Cost now only $1.20 per million tokens.
    • Market evolution: AI features becoming table stakes.
    • Performance rubrics created for different personas and applications.
    • Multi-agent architecture provides technical and organizational scalability.
    • Initial implementation used Azure and GPT-4 models.
    • Migration to AWS Bedrock brought model choice benefits.
    • Bedrock allowed optimization across cost, benchmarking, and speed dimensions.
    • Added AWS guardrails and knowledge base capabilities.
    • Lesson #1: Users hate typing; provide clickable options.
    • Lesson #2: Users don't like waiting; optimize for speed.
    • Lesson #3: Users take time to trust AI; provide auditable answers.
    • Question about role-based access control and permissions.
    • Co-pilot uses user authentication to access application data.
    • Question about subscription pricing for AI features.
    • Need to educate customers about AI's value proposition.
    • Question about reasoning modes and timing expectations.
    • Showing users the work process makes waiting more tolerable.


    Participants:

    • Richard Sonnenblick - Chief Data Scientist, Planview
    • Lee Rehwinkel – Principal Data Scientist, Planview


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

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    32 m
  • Ep082: Accelerating Profitable Growth with SaaS with DataRobot, LaunchDarkly and ServiceNow
    Mar 11 2025
    Executives from DataRobot, LaunchDarkly and ServiceNow share strategies, actions and recommendations to achieve profitable growth in today's competitive SaaS landscape.Topics Include:Introduction of panelists from DataRobot, LaunchDarkly & ServiceNowServiceNow's journey from service management to workflow orchestration platform.DataRobot's evolution as comprehensive AI platform before AI boom.LaunchDarkly's focus on helping teams decouple release from deploy.Rule of 40: balancing revenue growth and profit margin.ServiceNow exceeding standards with Rule of 50-60 approach.Vertical markets expansion as key strategy for sustainable growth.AWS Marketplace enabling largest-ever deal for ServiceNow.R&D investment effectiveness through experimentation and feature management.Developer efficiency as driver of profitable SaaS growth.Competition through data-driven decisions rather than guesswork.Speed and iteration frequency determining competitive advantage in SaaS.Balancing innovation with early customer adoption for AI products.Product managers should adopt revenue goals and variable compensation.Product-led growth versus sales-led motion: strategies and frictions.Sales-led growth optimized for enterprise; PLG for practitioners.Marketplace-led growth as complementary go-to-market strategy.Customer acquisition cost (CAC) as primary driver of margin erosion.Pricing and packaging philosophy: platform versus consumption models.Value realization must precede pricing and packaging discussions.Good-better-best pricing model used by LaunchDarkly.Security as foundation of trust in software delivery.LaunchDarkly's Guardian Edition for high-risk software release scenarios.Security for regulated industries through public cloud partnerships.GenAI security: benchmarks, tests, and governance to prevent issues.M&A strategy: ServiceNow's 33 acquisitions for features, not revenue.Replatforming acquisitions into core architecture for consistent experience.Balancing technology integration with people aspects during acquisitions.Trends in buying groups: AI budgets and tool consolidation.Implementing revenue goals in product teams for new initiatives.Participants:Prajakta Damle – Head of Product / SVP of Product, DataRobotClaire Vo – Chief Product & Technology Officer, LaunchDarklyAnshuman Didwania – VP/GM, Hyperscalers Business Group, ServiceNowAkshay Patel – Global SaaS Strategist, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/
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    1 h y 2 m

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