AWS for Software Companies Podcast

AWS - Amazon Web Services
  • 5.0 (9)
  • TECHNOLOGY
  • UPDATED BIWEEKLY

Stay ahead of the rapidly evolving cloud and AI landscape with the AWS for Software Companies podcast.  Hear from renowned software leaders, respected industry analysts, and experienced consultants alongside AWS experts as they explore the technologies shaping the future—from generative AI and agentic systems to intelligent cloud architectures, and modern data management. Learn how AI agents are transforming enterprise workflows, how leading companies are modernizing their cloud strategies with security best practices at the core, and what's driving the next wave of SaaS innovation.  New episodes drop regularly to keep you informed on the trends that matter most to your business.

  1. 2H AGO

    Ep205: AI Teammates Are Here - Asana's Multiplayer Approach to an Agentic Future

    Asana CPO Arnab Bose breaks down how AI agents are transforming collaborative work management with multiplayer AI teammates that any team member can coach and correct. Topics Include: Asana is a collaborative work management platform used by 170,000+ companies worldwide.The "Pyramid of Clarity" connects individual tasks all the way up to company strategy.Asana's "work graph" maps tasks, teams, projects, and portfolios in one connected system.Generative AI now converts unstructured data like emails into structured project plans.Asana integrates directly with AWS, Gemini, and Claude to automate that conversion.AI Teammates are first-party agents that take on and complete tasks inside Asana.These agents work in multiplayer mode — visible, collaborative, and team-correctable.A third AI unlock is coming: letting any external agent builder plug into Asana's interface.Asana runs entirely on AWS, including a new FedRAMP moderate GovCloud deployment.AWS Marketplace listings help customers transact faster using existing AWS credits.Arnab advises startups to bet on AWS long-term rather than chasing short-term LLM trends.His 2026 prediction: multi-agent orchestration standards will be the enterprise AI battleground. Participants: Arnab Bose – Chief Product Officer, Asana See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

    22 min

  2. APR 28

    Ep204: Hacker Mindset at Scale: Inside Detectify's AI-Powered Security Platform on AWS

    Discover how Detectify's hacker-DNA culture, multi-account AWS architecture, and Claude Code on Bedrock helped a lean security team deliver zero-day protection to customers before they even knew they needed it. Topics Include: Haris Kabiljagić leads cloud operations, data, and scanning at Detectify.Detectify started in 2013 as a group of ethical hackers in Stockholm.The platform continuously scans customers' attack surfaces for exploitable vulnerabilities.A global community of elite ethical hackers feeds real-world payloads into the engine.Early on, a centralized cloud team caused over 40 service disruptions monthly.A multi-account AWS strategy via Control Tower eliminated disruptions entirely.The hardest part of decentralizing wasn't technology — it was the culture shift.Cloud ops had to evolve from gatekeepers into enablers of secure, fast deployment.Detectify's architecture runs on three pillars: scalability, event-driven services, and security.MSK and Amazon MQ replaced self-hosted RabbitMQ, enabling true event-driven microservices.AWS Security Hub provides a single pane of glass for security posture visibility.When the CAPS zero-day hit, Detectify delivered a live test to customers same day.Customers logged in braced for panic — and found the threat was already handled.AI-assisted development via Claude Code on Bedrock accelerated code migration 30x.The team moved from five modules per week to 150, without sacrificing review quality.Success is now measured by speed of remediation, not volume of vulnerabilities found.A new internal scanner lets customers protect applications before they ever reach production.Detectify's roadmap: make security effortlessly native inside the pipelines teams already use. Participants: Haris Kabiljagić - Head of Developer Services, DetectifyJohan Broman – EMEA ISV, Head of Solutions Architecture, Amazon Web Services See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

    29 min

  3. APR 21

    Ep203: Beyond Observability - How Dynatrace Uses AI to Fix Problems Before You Know They Exist

    Dynatrace's Chief Technology Strategist Alois Reitbauer explains how AI-powered observability is moving beyond monitoring to autonomously fixing software issues — and why the best AI doesn't replace human judgment, it sharpens it. Topics Include: Dynatrace helps global enterprise companies observe, optimize, and protect their software.The platform goes beyond monitoring — it takes automated action to fix issues.Business observability connects technical data to real-world operational decisions.Dynatrace has been investing in AI for 14 years, starting with root cause analysis.AI eliminates human confirmation bias when diagnosing critical system failures.Generative AI now enables Dynatrace to propose and implement code-level fixes.AI works best augmenting humans — like a GPS, not an autopilot.The Dynatrace-AWS partnership began with aligning on a shared long-term vision.Joint engineering calls and shared roadmaps made the two teams feel like one.Dynatrace experienced Amazon's famous silent document-reading meeting culture firsthand.Good partnerships require honesty, investment, and knowing when to say no.AI is maturing from an efficiency play toward genuine human augmentation. Participants: Alois Reitbauer – Chief Technology Strategist, Dynatrace See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

    25 min

  4. APR 14

    Ep202: Self-Driving Infrastructure - How Vercel Is Automating the Future of Web Deployment

    Vercel's VP of Engineering Lindsey Simon unpacks how AI is transforming web deployment — from self-driving infrastructure and automatic rollbacks to prompt-to-app magic and what coding will look like by 2027. Topics Include: Vercel turns a simple git push into a live URL, fastCustomers range from solo indie devs to major enterprises globallyUnder Armour, Reuters, and Polymarket all run on Vercel's platformAI agents can detect failed deployments and automatically suggest fixesVercel calls this approach "self-driving infrastructure" — a post-AI evolutionThe AI SDK lets developers write model-agnostic code across any providerV0 lets anyone generate a full app just by typing a promptThe AI Gateway provides intelligent model fallbacks and cost efficiencyVitamins vs. painkillers: Vercel only builds what customers genuinely needAI works best when code has structure, types, and tests already in placeAWS Bedrock helped Vercel scale V0 when it went unexpectedly viralVercel's AI philosophy: "let it rip" — with smart guardrails around dataWeekly "Demo Days" put every engineer in front of 200 colleagues to presentDesign is a company-wide discipline, from product UI to office signageA new AWS integration makes provisioning Aurora and DynamoDB just a few clicks Participants: Lindsey Simon – Vice President of Engineering, Vercel See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

    29 min

  5. APR 7

    Ep201: Agentic AI - Business and Technical Trends with Olawale Oladehin

    AWS leader Olawale Oladehin breaks down the architectural patterns, flywheel dynamics, and human skills product teams need to win in the rapidly evolving agentic era. Topics Include: AI represents the biggest product opportunity since the invention of cloud computing.Software companies are updating AI systems faster than ever before.Engineering team roles are fundamentally changing in the agentic era.OpenAI hit a $30B run rate in under three years.The economics of building software have permanently and radically changed.AI-native startups are reaching $100M revenue with fewer than 50 people.Your company's best product may not yet be on the roadmap.The biggest AI white spaces are automation, healthcare, sales, and finance.Disruption isn't the right frame — recalibration is.Existing customers, distribution, and domain expertise are structural advantages.Five differentiators: data, workflow depth, domain expertise, feedback loops, and trust.Every quarter of delay lets competitors complete their flywheel ahead of you.Six flagship AI models released in just 25 days recently.Open-weight models are rapidly closing the gap with frontier models.Model modularity is now essential — today's frontier is tomorrow's commodity.Durable truths matter more than chasing every new technology shift.Speed, integration depth, and compounding trust are enduring customer priorities.Agentic workloads consume 50K tokens versus 1–2K for simple chatbots.Multi-agent orchestration mirrors the shift from monoliths to microservices.Observability, guardrails, and compliance must be pulled up, not pushed down.Vertical specialization will consistently outperform horizontal scale over time.The World Economic Forum ranks AI literacy as the fastest-rising workforce skill.As automation grows, human skills like empathy and creativity matter more.AI is compressing the PM workflow from weeks of research to two hours.Culture, change leadership, and continuous learning are now competitive advantages. Participants: Olawale Oladehin – Managing Director, NAMER Technology Segments, Amazon Web Services See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

    43 min

  6. MAR 31

    Ep200: Scaling and Monetizing AI-Powered Products with ServiceNow, TwelveLabs and AWS

    Executives from ServiceNow, TwelveLabs, and AWS share unfiltered lessons on organizational change, data strategy, and best practices for scaling AI products worldwide. Topics Include: Three panelists explore scaling and monetizing agentic AI products.ServiceNow built entirely new prompt engineering roles from scratch.Evaluations-first culture replaced traditional QA — a major mindset shift.TwelveLabs' "Tokens Never Sleep" initiative broke down team AI resistance.Unlimited token usage revealed how underused AI actually is.Rich: the competitive window for acting on AI is closing.ServiceNow's DART program governs customer data for evaluation only.Enterprise data governance is fundamentally different from consumer companies.Disorganized internal data breaks agentic systems — structure comes first.Your data, not your model, is your competitive advantage.Krish's surprise: enterprise governance made model training nearly impossible.Jae: powerful AI tools erode human opinions faster than expected.Rich: boardroom-to-shop-floor AI adoption is unlike any previous wave.Customers began favoring velocity after watching competitors win with it.ServiceNow shipped agents at 20% resolution — then iterated upward.Focus early agents on reversible, low-risk, two-way-door actions.AWS tracks internal AI adoption in a structured weekly mechanism.TwelveLabs' two models power sophisticated video RAG workflows at scale.A Hollywood studio cut full episodes to four minutes using them.Voice agent worked perfectly in demos — broke immediately in production.Customers now measure how fast a product is getting smarter.Future-proofing infrastructure is every product leader's top anxiety today.MCP and A2A enable message-passing — but deeper problems remain.Semantic mismatch, agent identity, and trace governance remain unsolved.Tiered autonomy, trust, and data foundations define who ultimately wins. Participants: Krish Ganapathy | VP, AI Science, Architecture and Tools, ServiceNowJae Lee | CEO & Co-Founder, TwelveLabsRich Geraffo | Vice President & Managing Director, North America, AWSModerator: Connie de Lange | Marketing Director, North America, AWS See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

    45 min

  7. MAR 24

    Ep199: From Reactive to Proactive: The Observability Revolution with LogicMonitor

    From 3am war rooms to self-healing infrastructure, LogicMonitor's GM of AI shares a compelling vision for how observability and agentic AI are transforming IT organizations worldwide. Topics Include: LogicMonitor is a 15-year-old AI-powered hybrid observability company.Their AI product, Edwin AI, targets IT alert fatigue and noise.Enterprise IT teams are drowning in signals from dozens of monitoring tools.Generative AI evolved from machine learning — agents are the next frontier.LogicMonitor's first Edwin use case: help teams know what to focus on.Key lesson learned: stop chasing perfection and start experimenting faster.AI adoption requires serious change management, not just technical deployment.Success metrics should be process efficiency, not vanity adoption numbers.LogicMonitor accelerated software releases from monthly to weekly to daily.AWS Bedrock powers Edwin AI; Agent Core reduces infrastructure complexity.Agentic AI will run long, complex workflows without human intervention.The future is self-healing infrastructure — systems that sense, fix, and notify. Participants: Karthik Sj – General Manager of AI, LogicMonitor See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

    17 min

  8. MAR 17

    Ep198: Protect, Secure, Recover: How Cohesity Keeps Enterprise Data Resilient

    Cohesity CPO Vasu Murthy breaks down how enterprise data protection has evolved into a 24/7 cyber recovery operation — and why the battle against ransomware is now being fought with AI on both sides. Topics Include: Cohesity protects, secures, and provides insights into enterprise data globally.70% of Fortune 500 companies trust Cohesity with their critical data.Cyber attacks are now the dominant threat to enterprise data resilience.Cohesity recently merged with Veritas, dramatically expanding its customer base.Real-world rescue: a cyber-hit company ran payroll on time anyway.Recovery operations run 24/7, with dozens of active rescues at any time.The threat landscape is now AI versus AI — and escalating fast.Cohesity enables customers to practice cyber recovery drills through automation.AI is accelerating product cycles — planning that took months now takes weeks.More than a third of Cohesity's latest release was AI-assisted code.Flatter teams and less hierarchy are defining the new CPO playbook.AWS partnership innovations like Glacier Instant Retrieval delivered 30% cost savings. Participants: Vasu Murthy – Chief Product Officer, Cohesity See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

    18 min
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Stay ahead of the rapidly evolving cloud and AI landscape with the AWS for Software Companies podcast.  Hear from renowned software leaders, respected industry analysts, and experienced consultants alongside AWS experts as they explore the technologies shaping the future—from generative AI and agentic systems to intelligent cloud architectures, and modern data management. Learn how AI agents are transforming enterprise workflows, how leading companies are modernizing their cloud strategies with security best practices at the core, and what's driving the next wave of SaaS innovation.  New episodes drop regularly to keep you informed on the trends that matter most to your business.

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