AWS for Software Companies Podcast

Sumo Logic's VP of Security Strategy reveals how a ground-up agentic framework transformed their platform, and why clean data and autonomous agents are rewriting the rules of cloud security.
Topics Include:
Sumo Logic is a cloud analytics platform ingesting data from complex IT stacks.
Built on AWS from the start, leveraging microservices for scalable solutions.
Early AI efforts produced a natural language query co-pilot for security data.
Bolting AI onto existing platforms proved brittle and one-dimensional.
Customer feedback drove a decision to redesign AI from the ground up.
The Dojo AI framework unifies purpose-built agents across the entire platform.
New agents include a SOC analyst agent, knowledge agent, and MCP server.
New frontier models on Bedrock give the whole platform an instant brain transplant.
Autonomous agents require rethinking security controls beyond traditional programmatic guardrails.
Federal and global customers demand rigorous, levelled-up security across all regions.
Clean, normalized data proved the biggest unlock for reliable AI query results.
Agent-to-agent communication and MCP will define the next era of AI platforms.

Participants:
Chas Clawson – Vice President, Security Strategy, Sumo Logic

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Avalara's Chief Architect Tim Diekmann reveals how AI and agentic technology are transforming tax compliance and accuracy across 40,000 jurisdictions leveraging AWS.
Topics Include:
Avalara provides tax compliance software across North America, Europe, and beyond.
They operate between commerce and government, covering 40,000+ jurisdictions.
Services span registration, sales tax calculation, and certificate management.
Avalara was the only company keeping pace with rapid tariff changes.
AI is used to parse unstructured documents like tax notices and publications.
Intelligent mapping automates ERP integration across vastly different system configurations.
GenAI lets customers query billions of transactions using plain conversational language.
Avalara and AWS are now engaged in a promising co-selling motion.
Time-to-go-live and transaction accuracy are the key success metrics tracked.
Amazon Q was rolled out company-wide, achieving 95% developer adoption.
AI literacy is now prioritized across legal, HR, and engineering teams alike.
Agentic AI will embed Avalara directly inside customer ERP systems going forward.

Participants:
Tim Diekmann – SVP of Engineering, Chief Architect, Avalara

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

Honeycomb Co-founder and CTO Charity Majors explains why measuring the right engineering metrics in the age of AI matters more than chasing numbers.
Topics Include:
Charity Majors introduces Honeycomb as the original observability company for complex systems
Honeycomb solves high cardinality problems across millions of individual customer experiences
Their MCP tool ranked top five in Stack Overflow's most-used list
Canva lets developers interact with production software directly from their IDE
AI acts as an amplifier requiring strong reliability and observability foundations
Measuring success requires multiple metrics to avoid gaming single numbers
Honeycomb adopted Intercom's 2X productivity challenge enlisting employees to identify gains
Writing code was never the hard part even before generative AI arrived
Honeycomb created AI values prioritizing transparency and emotional safety for employees
Staff tested boundaries on resources and environmental impact prompting honest discussions
Honeycomb acquired Grok and shipped Query Assistant Canvas and MCP products
Future concerns include AI economics shifting and AI-native developers lacking foundational expertise

Participants:
Charity Majors – Co-Founder/CTO, Honeycomb.io

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

Astronomer's Steven Hillion reveals how OpenAI, Anthropic, Uber, and Lyft use Apache Airflow to orchestrate AI and machine learning pipelines at scale on AWS.
Topics Include:
Steven Hillion leads data and AI at Astronomer
Apache Airflow surpassed Spark and Kafka in community metrics
Astronomer coordinates data flow like conductor orchestrating instrumental platforms
Organizations with data engineering teams use Airflow at scale
Customers already used Airflow for ML before official promotion
Uber and Lyft orchestrate pricing models using Airflow
Astronomer runs on AWS with close integration partnerships
OpenAI Anthropic and GitHub Copilot use Airflow for operations
Internal data team uses Airflow creating feedback loops
Evolved from constrained AI reports to agentic workflows
Platform monitors generative AI output quality at user interactions
Metadata and context increasingly critical for AI applications
Learn more at Astronomer’s Data FlowCast podcast

Participants:
Steven Hillion – SVP, Data and AI, Astronomer

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

Learn how Docupace transformed from cloud-native platform to AI-powered wealth tech leader, leveraging AWS partnerships and customer obsession to accelerate growth.
Topics Include:
Docupace Technologies has served wealth management firms for twenty years.
Three SaaS product lines streamline advisor workflows and back offices.
AI transforms both customer operations and Docupace's internal business practices.
Trust between advisors and investors drives conservative technology adoption approach.
Serving seven top-ten broker dealers demands careful data security strategies.
AI shifts financial systems from deterministic certainty to probabilistic outcomes.
Industry began AI adoption with simple meeting note-taking applications.
Docupace's agentic AI framework enables safe, observable, orchestrated agent deployment.
Multiple verification layers and human oversight ensure zero-error financial operations.
Internal AI implementation required nine months navigating change management hurdles.
Team curiosity and rapid experimentation matter more than traditional skill sets.
AWS customer obsession and partnership programs dramatically accelerate business growth.

Participants:
Michael Pinsker – Founder and President, Docupace Technologies

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