Go inside a massive, still-in-progress migration of 1,500+ servers out of two Canadian data centers, with candid lessons on what works, what was surprising, and what to do differently.

Topics Include:

• Inside a live migration: 1,500+ servers leaving two Canadian data centers.
• How BlackBerry became a secure communications and QNX vehicle software company.
• Decades of legacy systems, and why standing still became costlier.
• Three converging forces: VMware licensing, hardware end-of-life, and FinOps gaps.
• The goals: close data centers, exit VMware, modernize only what matters.
• Choosing partners and funding programs that work as one team.
• A five-week assessment with parallel workstreams and five key workshops.
• Rehost, re-platform, or refactor: pragmatism over migration ideology.
• Early lessons on discovery, cost transparency, and over-communicating.
• Building the landing zone: accounts, networking, identity, and security.
• Discovery, right-sizing, then migrating, validating, and cutting over workloads.
• Wave planning: start simple, save the most complex workloads for last.
• Day two: cost tagging, observability, and AI-assisted modernization backlogs.
• Final advice: business case first, migrate now, modernize later.

Participants:

• Jason Whissell – Vice President, IT & Business Application Solutions, Blackberry
• Mehran Najafi PhD - Principal AI Architect & Head of AI Solution Architects, AWS Canada, 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/

From data-center chaos to billion-dollar acquisitions: the real story behind Clio's cloud journey, compliance battles, and rapid AI-driven transformation.

Topics Include:

• AWS-Clio partnership: migrate, modernize, add AI, then co-sell
• Legal industry ran on WordPerfect, mainframes, and homemade billing
• Clio launched 2008, same year as AWS's first database
• Now serves 400,000+ legal professionals across 130 countries
• Landed legal tech's largest-ever acquisition, raised $500M Series G
• Ships code 50-100 times daily in a regulated industry
• Started split across a data center, Azure, AWS, some GCP
• Nine years of acquisitions, fundraising, and rapid team growth
• Sharded databases, added regions for compliance and low latency
• Engineering team grew from 40 to over 650 people
• Lawyers once feared cloud security and data ownership questions
• Three principles: data security, system resilience, data regionality
• Stage one: survival, learning EC2, RDS, S3 basics
• Stage two: earning trust through SOC 2, PCI compliance
• AWS became a compliance partner, not just a host
• Stage three: AI reshapes coding speed and company culture
• Integrating acquisitions scattered across Heroku, GCP, Azure, others
• VLUX deal added a billion-document legal case-law database
• Rapid acquisition-to-launch playbook: some products shipped in days
• Strategy: avoid single AI vendor, preserve maximum optionality

Participants:

• Jonathan Watson – Chief Technology Officer, Clio
• Martin Bazinet – Director of Technology, AWS Canada, 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/

Experts from Pegasystems and AWS reveal how AI-powered tools now modernize decades-old mainframe systems in weeks instead of years—unlocking trapped data faster than ever.

Topics Include:

• Session covers accelerating mainframe modernization using AWS Transform and Pega Blueprint
• Agenda: challenges, joint solution, value prop, customer story, rollout mechanism
• Mainframe costs rise 20-30% yearly, straining IT budgets significantly
• Monolithic systems create long time-to-market, hurting competitiveness against newer rivals
• Mainframe data stays locked away, blocking AI adoption and innovation
• Retiring mainframe skills outpace new workforce training, compounding the problem
• AI now enables analyzing decades-old code bases within weeks, not years
• AWS Transform extracts business logic; Pega Blueprint visualizes modernized target applications
• Five-step journey: Transform, Pega Foundry, Blueprint, then deployment via Infinity platform
• Three Transform agents handle code, data, and activity analysis separately
• Data analysis covers data lineage and data dictionary schema extraction
• Outputs feed a knowledge graph, enabling natural language queries anytime
• Transform deterministically identifies distinct data paths from mainframe systems
• Data paths get grouped into business functions, each modernizable independently
• Final steps extract business logic and generate plain-English requirements
• Blueprint agent enriches Transform outputs, enabling intuitive workflow design
• Blueprint offers runtime previews and is publicly accessible at pega.com
• Pega Infinity platform handles both batch and online mainframe workloads
• Insurance company Unum modernized 1.5M lines of COBOL in three months
• Experience-Based Acceleration program delivers modernized, working code within four-to-six weeks

Participants:

• Surender Kumar – Director, Mainframe Modernization, Pegasystems
• Ujwal Bukka – Sr Partner Solutions Architect, Business Apps, Amazon Web Services
• Sourav Sarkar – Sr Worldwide Specialist Solutions Architect, Mainframe & Legacy Modernization, 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/