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Will GenAI Observability Succeed Where AIOps Stumbled? The hype around GenAI observability is real, but we’ve seen hype before. AIOps promised to cut down manual work by managing complex data but fizzled because it missed key IT needs and lacked the right organizational changes. GenAI observability offers a new shot at proactive system management, but success will hinge on learning from those AIOps missteps. This time, it’s not just about flashy tech; it’s about rethinking how teams manage systems to make real, lasting improvements. Will we repeat past mistakes or finally unlock the potential of AI-driven insights? Logz.io provides an AI-powered observability platform that helps organizations proactively manage systems, identify issues quickly, and enhance operational efficiency, ensuring long-term success and more effective IT operations.

Happy Holidays from all of us at Logz.io! 🕎 🎄✨ #ai #Holidays #Observability #TechStartup

This holiday season, treat yourself to Logz.io’s AI Agent. Start your free trial today and enhance your observability with the help of your own observability co-pilot. #AI #Observability #Logging https://lnkd.in/evRcnuRF

🚀 𝗡𝗲𝘄 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗔𝗹𝗲𝗿𝘁: 𝗧𝗿𝗮𝗰𝗲 𝗤𝘂𝗶𝗰𝗸𝗩𝗶𝗲𝘄 Tired of jumping between tools and losing time during critical incidents? Logz.io’s 𝗧𝗿𝗮𝗰𝗲 𝗤𝘂𝗶𝗰𝗸𝗩𝗶𝗲𝘄 streamlines your workflow by: ✅ Combining 𝗹𝗼𝗴𝘀 𝗮𝗻𝗱 𝘁𝗿𝗮𝗰𝗲𝘀 𝘀𝗶𝗱𝗲-𝗯𝘆-𝘀𝗶𝗱𝗲 in one interface ✅ Highlighting slow spans, errors, and delays instantly ✅ Helping teams 𝘀𝗽𝗼𝘁 𝗯𝗼𝘁𝘁𝗹𝗲𝗻𝗲𝗰𝗸𝘀 𝗮𝗻𝗱 𝗿𝗲𝘀𝗼𝗹𝘃𝗲 𝗶𝘀𝘀𝘂𝗲𝘀 𝗳𝗮𝘀𝘁𝗲𝗿 Simplify troubleshooting, cut MTTR, and keep your systems running smoothly with Logz.io’s 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗼𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺. Discover how Trace QuickView works ⬇️ https://lnkd.in/e96NKdPM #innovation #ai #observability

Attention UK! 🚨 Don’t miss your chance to join Logz.io + AWS for an exclusive breakfast event! Message Sam Silverberg or comment below to secure your spot today! 𝟐𝟏 𝐉𝐚𝐧𝐮𝐚𝐫𝐲 - 𝐌𝐚𝐧𝐜𝐡𝐞𝐬𝐭𝐞𝐫 𝟐𝟐 𝐉𝐚𝐧𝐮𝐚𝐫𝐲 - 𝐋𝐨𝐧𝐝𝐨𝐧 What’s in it for you? ☁️ 𝐄𝐱𝐩𝐞𝐫𝐭 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬: Discover how AI is revolutionising observability from Logz.io CTO & Co-Founder Asaf Yigal and AWS experts. 🤝 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬: Connect with industry leaders and peers in an interactive, collaborative setting. ☕𝐂𝐨𝐟𝐟𝐞𝐞 & 𝐁𝐫𝐞𝐚𝐤𝐟𝐚𝐬𝐭: Enjoy a light breakfast and freshly brewed coffee to fuel your morning. Jennifer Cairns AWS Partners #Manchester #London #UK #UKTech #Observability #AI

Reminder to take our #observability pulse survey and you'll be entered into a raffle to win 1 of 5 $100 Amazon.com gift cards! https://lnkd.in/epYHudA3

Meet our newest CSE Blessy V.! 🎉 "Happy holidays everyone! I’m Blessy, a Customer Success Engineer at Logz.io. I joined the team just over a month ago, and so far it's been a blast learning about this dynamic observability tool and how it helps organizations thrive. I’m excited to empower our clients to harness the full power of our cutting-edge observability solutions here at Logz.io! 🚀 Outside of work, you’ll probably find me exploring new restaurants here in Boston, spending time with family and friends, or indulging in my love for travel and food. 🌍 🍴 Here are a few snapshots from my recent adventures!Let connect! Feel free to reach out, whether to chat observability, swap travel stories, or simply say hi. Wishing you all a happy and fulfilling holiday season. ✨ " #Observability #CustomerSuccess #ai #employeeengagement

Manual Monitoring is Holding Your Systems Back System failures often go unnoticed until they cause major disruptions. Manual monitoring is slow, reactive, and wastes valuable time and resources. The evolution to autonomous observability is the only way forward. Level 0: Manual observability means everything is done by hand. Alerts and data collection require human intervention for investigation. Level 1: Assisted #observability introduces AI for basic anomaly detection, but human operators still interpret data and take corrective actions. Level 2: Partial automation begins. AI identifies patterns and suggests solutions, but humans approve and execute actions. Level 3: Conditional automation allows AI to handle known issues and automate responses in certain scenarios, with human input only for complex cases. Level 4: Full automation means AI autonomously detects, diagnoses, and resolves issues, adapting to new environments and continuously improving. At Logz.io, we are making great strides with AI-driven agents, delivering powerful innovations such as natural language querying and automated early root cause analysis.

Embrace the power of AI-driven observability. Say goodbye to manual troubleshooting and let intelligent automation keep your systems optimized, resilient, and future-ready. #Observability #AIOps #CloudMonitoring #devops #tech #innovation #ai