7 articles that week
Thursday, July 30th, 2026: 11:00 AM to 5:00 PM
During this webinar, participants will learn how AI can accelerate test creation, improve performance analysis, identify potential bottlenecks before they impact users, and help organizations make more informed decisions about system scalability and resilience.
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Tuesday, July 28th, 2026: 1:00 PM to 2:00 PM
This session is ideal for engineering leaders, search architects, and platform teams currently operating self-managed Apache Solr who want to understand the benefits, trade-offs, and practical steps involved in migrating to a fully managed search service on AWS.
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Wednesday, July 15th, 2026: 11:00 AM to 12:00 PM
Join Harness for a conversation on how engineering leaders can move beyond seats, usage, and token consumption to understand which AI-assisted workflows are helping teams ship better software faster.
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Tuesday, July 14th, 2026: 11:00 AM to 12:00 PM
Join Alan Shimel, CEO of TechStrong, Avi Hein, Product Marketing Lead at Checkmarx, and Emma Datny, Sr. Product Marketing Manager at Checkmarx, for a direct conversation on where software supply chain risk stands in 2026, why the visibility problem is getting harder, and what security leaders can do about it now.
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Thursday, July 9th, 2026: 1:00 PM to 2:30 PM
In this webinar, we'll explore how organizations are evolving beyond fragmented Infrastructure as Code Management(IaCM) practices into unified, policy-driven infrastructure operations with Harness and emerging AI-assisted workflows.
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Thursday, June 25th, 2026: 6:00 PM to 8:00 PM
Let Me Show You Something (LMSYS) is a fast-paced, community-driven developer meetup in South Florida! At each event, five devs take the mic for five minutes each to share something they're genuinely excited about - a tool, project, function, fix, or anything else dev-related
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Thursday, June 25th, 2026: 1:00 PM to 2:00 PM
In this webinar, we'll walk through how modern engineering teams trace issues end-to-end across the full AI application stack. We'll start with Application Performance Monitoring, where distributed traces surface where time is actually being spent.
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