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Parallel AI work needs coordination before merge time. Teams need to see overlapping files, symbols, handoffs, proof expectations and blockers while the work is still in motion. More agents need better coordination, not more luck. #Snipara #EngineeringOps
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Your CI/CD pipeline is automated. Your deploys are automated. Your incident response checklist is… a Notion doc no one updates. 👀Manifestly gives eng & ops teams structured, repeatable workflows for the stuff that still needs humans in the loop.Release checklists. Incident response. Onboarding. All tracked, assigned, and auditable. manifest.ly/use-cases/softwa… #DevOps #EngineeringOps #SRE #TechTwitter #Productivity
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A customer reported a critical bug. Users being logged out mid-session. 200 people blocked mid-rollout. I asked Coworker one question: "Based on our Slack conversations, Jira tickets, and recent meeting notes — can you figure out what's causing it, who owns it, and draft a Jira ticket with full context so the right engineer can fix it fast?" What came back in under a minute: Root cause identified. A token refresh refactor shipped Feb 25 introduced a bug where the session expiry window was not resetting on active API calls. Standard users never noticed. Enterprise users with long sessions hit the 15-minute TTL and got kicked out. Coworker found the smoking gun in a Slack thread from March 1. The engineer who authored the fix had already identified the bug and had a local patch ready. She just had not pushed it yet. It also found the Feb 28 engineering sync notes where the same engineer flagged the refactor was "not fully regression tested on enterprise session lengths." The warning was there. Nobody acted on it. Full Jira ticket drafted. Root cause, steps to reproduce, expected vs actual behavior, impact summary, acceptance criteria. Ready to file. This used to take 45 minutes of digging across three tools. Coworker did it in 60 seconds. How long does it take your team to get from customer complaint to root cause? #EngineeringOps #CustomerSupport #EnterpriseAI #Jira #AIAgents #Coworker
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Feb 3
Tech leaders are learners first. What area are you most focused on understanding more deeply right now? A. Scaling teams & systems B. Cloud modernization C. Data-driven decisioning D. AI strategy & impact #TechLeadership #Reskilling #EngineeringOps
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4 Sep 2025
🔧 Managing HPC software licenses across hybrid environments can be complex—and small administrative gaps can lead to costly downtime. Rescale’s latest license hosting enhancements aim to reduce that risk by giving IT and engineering teams more control and visibility: • Automated Notifications: Proactive alerts when vendor licenses near expiration help prevent service interruptions. • Custom Maintenance Windows: Admins can now schedule updates to avoid disrupting active workloads. • Daemon Version Control: Organizations can opt out of automatic upgrades, preserving compatibility with existing HPC software. These updates are now available to all License Hosting users, streamlining license administration and improving reliability across cloud and on-prem HPC jobs. #HighPerformanceComputing #EnterpriseIT #LicenseManagement #HybridCloud #EngineeringOps
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18 Feb 2025
Docker Captain Neal Patel shares how Docker simplifies platform engineering, enabling teams to build, ship, and run applications faster while maintaining security and governance. Read his post today! 🔗 spklr.io/60152lYS #PlatformEngineers #EngineeringOps #devproductivity
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Learn how @GetJobber gained visibility into their engineering operations: jllyf.sh/3Qm1lOY #engineeringmanagement #engineeringleadership #CTO #VPE #engineeringops
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Have you seen the latest cover of @cioreview? In March's cover story, we discuss how engineering management platforms are breaking down silos in IT organizations. Read the full story: ow.ly/eBTj50IrbNA #CIO #Devops #IT #engineeringops #ITops #IToperations #CTO #VPE
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In part 2 of this series, Ben Kotrc examines if teams that leverage story points are more efficient than those that don't. Read the full post: jllyf.sh/3NxEOys #engineeringmanagement #engineeringleadership #CTO #VPE #engineeringops #softwaredevelopment
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👋 Some personal news: As of today I am working with @TrueLayer 🏦 on their EngineeringOps team! I'm really psyched to use @rustlang on a daily basis and see where this 🚀 ride goes!
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16 Jul 2020
After re-examining our engineering org, we decided to switch to full-stack teams. The result? 10x velocity. bit.ly/2Baju1G #engineeringops #engops

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22 May 2020
@"When will this epic be done?" - one of life's great mysteries... until now! We just released Epic Forecasts to answer this question. Check it and other features out on our changelog. bit.ly/36i93UR #engops #engineeringops #softwaredevelopment #agile
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21 May 2020
You can now see the impact of meetings on your engineering team's productivity with our @googlecalendar & @Microsoft @Office365 calendar integrations. bit.ly/2Xk7JMS #engops #engineeringops #softwaredevelopment
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Next time you discuss engineering architecture remember: "if the architecture of the system and the architecture of the organization are at odds, the architecture of the organization wins" ruthmalan.com/Journal/2014/2… #conwayslaw #engineeringops

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18 Oct 2019
🎓 Learn how #dirtydata is more than just errors and how it can break your #datascience project from @junwuwriting: buff.ly/2IW1Fny #ITanalytics #Observability #EngineeringOps #CodeAsData #CodeAnalysis
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16 Oct 2019
"Top 4 metrics to measure your Software Delivery Performance" 1. Change Lead Time 2. Deployment Frequency 3. Change Failure Rate 4. Median Time To Restore (MTTR) From the source{d} Developer Team buff.ly/33CyjTe #DevOps #EngineeringOps
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🎓 Learn how #dirtydata is more than just errors and how it can break your #datascience project from @junwuwriting: buff.ly/2AEXqbs #ITanalytics #Observability #EngineeringOps #CodeAsData #CodeAnalysis
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Check out this talk from @j_v_66, a Professor of #ComputerScience at @Northeastern, at @curry_on_conf on the perils of large-scale analysis of @github data: ow.ly/al1c50wzOkL 👏 #ITanalytics #Observability #EngineeringOps #CodeAsData #CodeAnalysis

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25 Sep 2019
Learn how "how measuring stability and speed can power a successful adoption of #ContinuousDelivery in an organisation of any size" from @SteveSmithCD at @GOTOber 2017. ow.ly/BV6950wqO2I #ITanalytics #Observability #EngineeringOps #CodeAsData #CodeAnalysis

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17 Sep 2019
Managing Engineers: Minimizing Risk and Surprises [Podcast] - @83TB @DZoneInc Agile ow.ly/zOZd30pwXQJ #ITanalytics #Observability #EngineeringOps #CodeAsData #CodeAnalysis

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