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An agent touches a system it shouldn't, but the audit trail doesn't show why it had access in the first place. Join Shawn Petty and Mike Bombard of @CloudBoltSW with TNS Host Viktor Farcic to explore the difference between provisioned and emergent access.
Register here: bit.ly/4686mF3
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The Next Era of MFT drops in November, and it’s free. Pre-register now and find out how AI could save MFT teams up to 571 hours a year. Get your copy before anyone else: bit.ly/47TIhTa
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Your AI agents are shipping code faster than ever. So who is testing it?
Join The New Stack and @datadoghq for a live webinar on agent built tests that explore your app, find the user flows worth covering, and verify real outcomes on every run.
Register now: bit.ly/4yM3tGt
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An agent that waits for an alert is different from one that decides an incident needs attention on its own. Join Raaz Dwivedi of Traversal and our host Charles Humble for a look at what changes when incident response becomes truly proactive.
Register now: bit.ly/4iKIVsY
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When high-ingest and time-series workloads push Postgres to its limits, the instinct is often to migrate to something new. This upcoming live session looks at the problems worth solving before making that move.
Register here: bit.ly/4cs3Lt8
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Moving AI agents into production puts the entire data architecture to the test. Catch the on-demand session with Ravi Marwaha of Arango and TNS Host Dr. Kim Fessel to see what it takes to build beyond the pilot phase.
Watch now: bit.ly/3UWIB0d
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What changes when an AI agent writes your tests?
Alex Wilhelm of The New Stack sits down with Ruxanda Lueck and Matthew White of @datadoghq to explore how goal based testing keeps coverage in step with AI speed development.
Save your spot: bit.ly/4yM3tGt
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WHOOP once relied on days of manual triage to understand and respond to critical vulnerabilities. Watch the on-demand session to see how Datadog helped turn that process into an automated workflow.
Watch now: bit.ly/46lCvZS
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Your file transfers run themselves. Troubleshooting, workflow builds, and documentation still don’t. Our upcoming ebook shows how AI is changing that for MFT teams. Pre-register to be first in line: bit.ly/47TIhTa
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When the right information never reaches the reranker, there's nothing left to rank. Catch the on-demand session for a deeper look at the retrieval bottleneck affecting AI search at scale.
Watch now: bit.ly/3UMqBG4
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Not every permission is explicitly granted. Our upcoming live session examines what happens when AI agents inherit or create access during a task and why those moments can create serious gaps in security and accountability.
Join us: bit.ly/4686mF3
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Most AI agent pilots work. Getting them to work reliably in production is a different challenge. Our live session tomorrow breaks down the six data requirements that can make the difference, from fresh indexes to active governance.
Register here: bit.ly/3UWIB0d
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Index bloat, vacuum overhead and query planning can become serious challenges as Postgres workloads grow. Join Matty Stratton of @TigerDatabase and TNS Host Dr. Kim Fessel for a practical look at what breaks, what holds up, and how teams can scale smarter.
Register here: bit.ly/4cs3Lt8
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Giving an agent more autonomy isn't just a technical decision. It changes how incident response works. Learn what teams need to consider before trusting an agent to act without waiting for a human trigger.
Register here: bit.ly/4iKIVsY
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Better ranking isn't always the answer to poor AI search. Join Bonnie Chase, Jenny Morris of @vespaengine, and TNS Host Dr. Kim Fessel tomorrow for a closer look at what happens earlier in the search pipeline.
Register here: bit.ly/3UMqBG4
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What separates an impressive AI agent demo from a system that can actually operate at scale? Join Ravi Marwaha of @arangoai and TNS Host Dr. Kim Fessel to explore the data architecture behind reliable AI agents.
Register here: bit.ly/3UWIB0d
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AI search gets more complicated as datasets, traffic and model costs grow. Next week's live session looks at how teams can rethink the retrieval pipeline instead of relying on reranking to compensate for missing results.
Register here: bit.ly/3UMqBG4
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How do you investigate an AI-driven incident when the identity provider has no record of how an agent gained access? Shawn Petty, Chief Customer Officer at @CloudBoltSW, and TNS Host Viktor Farcic will examine how automation changes the identity and audit trail problem.
Join us live: bit.ly/4686mF3
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Growing datasets can expose weaknesses that weren't visible when your Postgres deployment was smaller. Learn how index bloat, vacuum overhead and query planning behave as live data scales.
Join us live: bit.ly/4cs3Lt8
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At ElasticON NY, Baha Azarmi introduced @elastic's nightshift AI SRE during his keynote. Alex Wilhelm needed to know more. In short, it learns to investigate the way an engineer would and delivers evidence-backed remediation with its reasoning made transparent.
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Most production agents still wait to be opened, asked, or triggered by a predefined rule. This live session will examine what it takes to move from responsive automation to agents that can proactively identify and act on incidents.
Join us: bit.ly/4iKIVsY
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From the keynote stage to the TNS studio, Baha Azarmi is sitting down with Alex Wilhelm to talk about how @elastic makes it possible to afford to keep every metric and query at any scale. Elasticsearch rebuilt TSDS and ES|QL compute engine into a fully columnar metrics engine.
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From discovering where a vulnerability exists to identifying exposure and initiating remediation, WHOOP built automation into the response process. Catch the on-demand event for a practical look at how the workflow came together.
Watch now: bit.ly/46lCvZS
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Baha Azarmi introduces @elastic's new nightshift AI SRE at ElasticON NY. It monitors your system, surfaces opportunies to become more incident ready, discovers problems, and helps you fix them before they impact your business.
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ElasticON NY, here we go! The loaded agenda looks promising. We're looking forward to hearing what's what in a full day with @elastic
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Stale vector indexes, disconnected graph databases, and inactive governance can quickly turn a successful AI pilot into a production problem. Join our live session to learn how stronger data architecture can help AI agents operate reliably at scale.
Register here: bit.ly/3UWIB0d
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The open source community is heading to Raleigh. Join developers, technologists, and open source leaders at All Things Open on October 19–20 for conversations around the technology and people shaping the ecosystem.
2026.allthingsopen.org/
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No reranker can recover a relevant passage that retrieval failed to surface. Bonnie Chase and Jenny Morris of @vespaengine join TNS Host Dr. Kim Fessel to examine the retrieval challenges behind scalable AI search.
Don't miss it: bit.ly/3UMqBG4
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Critical vulnerabilities can trigger days of manual investigation, from finding exposed systems to coordinating remediation. Learn how WHOOP automated that workflow with Datadog in a single afternoon.
Join the session: bit.ly/46lCvZS
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More AI-generated code doesn't have to mean more review bottlenecks. Catch the on-demand session with @vfarcic and John Bristowe for a closer look at human review, verified pipelines, and catching bugs in the age of AI code.
Watch the session: bit.ly/4qx5EL0
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How far can Postgres scale before the architecture starts working against you? Matty Stratton, Head of Developer Advocacy & Docs at @TigerDatabase, joins TNS Host Dr. Kim Fessel to examine the realities of running Postgres with rapidly growing live data.
Register here: bit.ly/4cs3Lt8
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What does an AI-powered SOC actually look like in practice? Carly Page talks with Oren Saban of Mate Security, followed by a live demonstration from Zach Christensen showing how different levels of AI autonomy change security operations.
Join us live: bit.ly/3SQoUH0
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AI agents expose every weakness in the data layer when they start making decisions across systems. Ravi Marwaha, COO and Chief Product & Technology Officer at @arangoai, will walk through six architectural requirements for moving AI agents beyond the pilot stage.
Don't miss it: bit.ly/3UWIB0d
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AI agents may take the action, but organizations still need to know who authorized the access and why. Mike Bombard of @CloudBoltSW joins TNS Host Viktor Farcic to explore practical approaches to tracing agent activity back to its human source.
Register here: bit.ly/4686mF3
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What happens when an incident response agent no longer waits for someone to trigger it? Join Traversal co-founder Raaz Dwivedi and our host Charles Humble to explore what changes when agents begin deciding for themselves when an incident needs attention.
Don’t miss it: bit.ly/4iKIVsY
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Sending larger candidate sets through increasingly powerful models can improve search results, but it can also drive up latency and costs. Learn why the deeper issue may be happening before reranking even begins.
Register here: bit.ly/3UMqBG4
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What if your security team didn't have to spend days triaging every critical vulnerability? Join Jennifer Riggins, WHOOP Staff Engineer Vinay Raghu, and @datadoghq Senior Product Manager Amber Tunnell to explore how WHOOP built a more automated approach.
Register here: bit.ly/46lCvZS
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More agents mean more retrieval demand, but scaling the database isn't the whole answer. Whit Walters from @GigaOm, Bonnie Chase from @vespaengine, and Alex Wilhelm from The New Stack will unpack what really changes when retrieval becomes an agent-scale infrastructure problem.
Register for the session: bit.ly/45Ihf03
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AI can investigate and respond at machine speed, but not every security action should be fully automated. Join this session to see how teams can determine when AI should act independently and when human control needs to remain in the loop.
Save your seat: bit.ly/3SQoUH0
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The path from AI demo to production doesn't start with the model. Ravi Marwaha of @arangoai joins TNS Host Dr. Kim Fessel to examine the infrastructure and data requirements that support reliable agentic systems.
Save your seat: bit.ly/3UWIB0d
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AI agents don't become autonomous overnight. Our upcoming live session explores the progression from invoked to background to proactive agents, and what changes at each stage.
Register here: bit.ly/4iKIVsY
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Replacing Postgres can solve one set of problems while creating another. Join Matty Stratton of @TigerDatabase and TNS Host Dr. Kim Fessel to explore where Postgres workloads hit their limits and what teams can do before reaching for a replacement.
Register here: bit.ly/4cs3Lt8
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Missed the live session? Watch on demand to explore why traditional code review struggles with AI-generated software and how verified pipelines can provide a stronger quality gate.
Watch now: bit.ly/4qx5EL0
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What happens when the right answer never makes it into the candidate set? Join Bonnie Chase and Jenny Morris of @vespaengine with TNS Host Dr. Kim Fessel to explore why retrieval quality is fundamental to effective AI search.
Register here: bit.ly/3UMqBG4
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Vulnerability response often means tracking exposure across systems before remediation can even begin. This virtual event explores how automation can continuously identify risk and trigger remediation with far less hands-on effort.
Don't miss it: bit.ly/46lCvZS
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If AI can generate code faster than humans can inspect it, the quality gate needs to evolve. Discover how verified pipelines can complement human review and help teams catch problems before they become production incidents.
Reserve your spot: bit.ly/4qx5EL0
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AI agents can write code faster than teams can review it. Join us to explore whether adding more human review or AI reviewing AI is actually enough to catch bugs in the age of agent-generated code.
Register now: bit.ly/4qx5EL0
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WHOOP turned a vulnerability response process that once required an engineering team into an automated workflow built in a single afternoon. See how continuous scanning and automated remediation changed the process.
Register to join us live: bit.ly/46lCvZS
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A powerful reranker can't rank what retrieval never finds. Our upcoming live session explores why improving the first stage of AI search can matter more than simply adding a bigger model downstream.
Register here: bit.ly/3UMqBG4
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Scaling AI agents means solving problems that aren't always visible during a pilot. Join Ravi Marwaha, COO and Chief Product & Technology Officer at @arangoai, and TNS Host Dr. Kim Fessel for a look at the six requirements every production-ready agent architecture needs.
Join us: bit.ly/3UWIB0d
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Our Director of Editorial, @mjburnsy, is hosting this session at the Tech Leaders Stage on day 2 of @WeAreDevs World Congress North America. The crew is sharing their most critical pillars for how enterprise software needs to be built for agents. A big one? Trust
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Our very own Frederic Lardinois is sitting down with LinkedIn's CTO of Engineering, @eberger45, on day 2 of @WeAreDevs World Congress North America. They are chatting about how @LinkedInEng turns AI breakthroughs into member and customer value.
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When AI writes the code and AI reviews the code, who catches the blind spots? Our host @vfarcic and John Bristowe, Principal Developer Advocate at @OctopusDeploy, for a discussion on human review, verified pipelines, and software quality in the AI era.
Register here: bit.ly/4qx5EL0
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Missed the live session? Watch on demand to learn what breaks when hundreds of AI agents hit a retrieval layer simultaneously, from latency and freshness to relevance and system architecture.
Watch now: bit.ly/45Ihf03
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