Plato ’s Post

Scaling your SaaS company? Don’t let hidden organizational issues drag you down. In my latest blog post, I explore why many software engineering teams struggle—not because of tech but because of leadership and culture gaps. I'm curious to see if this is affecting your team. Check out my article and reach out for a personalized assessment. 🔗 Explore the insights here - https://lnkd.in/gSvZwfZ7

"True engineering intelligence doesn’t just highlight bottlenecks, it dissolves them, empowering teams to deliver with precision and confidence." Ori Keren shares his toolkit for engineering leaders facing the prod-breaking challenges that 2025 will throw our way. 💡 Make executing simple tasks effortless. Free your team to focus on what truly drives impact. Get ready to transform how your team delivers value. https://lnkd.in/gsaiYdgm

A recent survey involving 500 engineering leaders highlights how essential feature management and experimentation tools are for software teams aiming to excel in their field. The survey also reveals that engineering teams struggle without these tools. In particular, just 1 in 6 reported success without the capacity to monitor system performance and user behavior at the feature level. Discover more findings from the survey and take steps toward improving your feature management and experimentation processes: https://lnkd.in/d-wUxSpx #SoftwareEngineering #DevOps 🚀

A recent survey involving 500 engineering leaders highlights how essential feature management and experimentation tools are for software teams aiming to excel in their field. The survey also reveals that engineering teams struggle without these tools. In particular, just 1 in 6 reported success without the capacity to monitor system performance and user behavior at the feature level. Discover more findings from the survey and take steps toward improving your feature management and experimentation processes: https://lnkd.in/g7iFBydq #SoftwareEngineering #DevOps 🚀

Sehaj and I wrote a piece on how engineering teams often struggle to keep up with the ever-increasing demands of business leaders, and how platform teams, when optimally sized, can reduce engineering costs while improving business outcomes. Peter Seibel's engineering effectiveness model examines how, as an engineering team scales from 10 to 100 to 1,000 members, the optimal size of the platform team can significantly boost the productivity of the entire engineering organization. We also discuss various business outcomes associated with platform teams and how and when to set up a platform team for maximum benefit. https://lnkd.in/d7gyhmPy

𝗧𝗵𝗲 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗧𝗿𝗮𝗽 📊 Here's a reality check for tech leaders: • Enterprises juggle 4-7 observability tools • Less than 40% of critical services have comprehensive alert coverage • 70% of incidents are mishandled due to alert fatigue • Tool sprawl increases by 22% yearly Yet manufacturing maintains defect rates in parts per million while we celebrate "five nines." We explore this paradox and how to break free from it: https://lnkd.in/gkVMWbPZ Are you trapped in the cycle of adding more tools without improving reliability? #TechLeadership #SiteReliability #Engineering #DevOps

A recent survey involving 500 engineering leaders highlights how essential feature management and experimentation tools are for software teams aiming to excel in their field. The survey also reveals that engineering teams struggle without these tools. In particular, just 1 in 6 reported success without the capacity to monitor system performance and user behavior at the feature level. Discover more findings from the survey and take steps toward improving your feature management and experimentation processes: https://lnkd.in/gvShJMFE #SoftwareEngineering #DevOps 🚀

🛠 This survey of 500 engineering leaders underscores the critical role of feature management and experimentation tools in helping software teams succeed within the maturing practice. 🙅♀️ However, engineering teams are not succeeding without the right tools in place. Notably, only 1 in 6 say they were successful without the ability to monitor system performance and user behavior at the feature level. 🔍 Learn what else the survey uncovered and start your journey toward safer, more effective feature management and experimentation: https://lnkd.in/gWcaRRCJ #SoftwareEngineering #DevOps 🚀

Principled decisions - your team's hidden superpower Drive product and engineering work efficiently, leverage local leadership https://buff.ly/3PPP87E (via @gleicon)