Bigeye

By 2026, two-thirds of enterprises will invest in automated data observability tools. Why? Because the era of guessing at data issues is over. Enterprises are moving from reactive data troubleshooting to proactive, automated solutions that catch problems before they snowball. Matt Aslett of ISG Research explores why automated observability tools, like Bigeye, are leading this transformation—and why they’re critical for enterprises navigating increasingly complex data ecosystems. Read more here: https://lnkd.in/g75UFNJZ

If you're into candid conversations about the past, present, and future of our industry, then this throwback episode will be a treat. Egor and Joe cover: 📦 Why non-modern data solutions deserve more attention 🛠️ How observability can transform the non-modern stack 🔍 Why it’s critical to get out of the "data bubble" Listen Here 🔗 https://lnkd.in/gj5piZKj

🎉 New Year’s Eve check-in: What are you doing here on LinkedIn? Don’t worry—we’re not judging. In fact, we’re glad, because it’s the perfect time to think about your issue detection ratio (yes, we’re bringing up data on NYE, but only because you're here too!). The best data observability catches problems before users even notice them. So… how’s your system doing? If your ratio of system-detected to user-reported issues isn’t around 10:1, it might be time to rethink your observability strategy.

✨ The calm before the data storm… ✨ 2025 is going to be big—new ideas, new tools, and more chances to connect with you at conferences and events. We can’t wait to see you in the new year!

Missed us at events this year? No problem. Book a demo now and see why everyone’s lining up to talk data observability with Bigeye 🚶🏽🚶♀️🚶🏿♀️🚶🏼 👉 https://hubs.la/Q030cbQW0

We’ve pulled together 5 of our favorite reads—specifically to help you tackle challenges, lead with confidence, and get the most out of your data. Here’s what made the cut: 1️⃣ The Complete Guide to Data Observability in 2025 https://hubs.la/Q030pt170 2️⃣ How to Build Strong Relationships with Business Stakeholders https://hubs.la/Q030ptvK0 3️⃣ Preventing Data Engineering Burnout: A Leadership Guide https://hubs.la/Q030ptsS0 4️⃣ Take Your Data Team From Cost Center to Value Center https://hubs.la/Q030ptPh0 5️⃣ Data Leadership 101: Tips and Tricks for New Leaders https://hubs.la/Q030pvdd0 ✨ Consider this your data leader’s starter pack for 2025—with advice, strategies, and a little dose of inspiration to keep things running smoothly.

Great analysis by Miles Braddock of the importance of data observability in your overall data management strategy. Give it a read! ⬇️

Last year, we had a blast reacting to some of the most hilarious, chaotic, and relatable data engineering posts on Reddit. If you've ever faced a data pipeline dumpster fire (or caused one 😅), this one’s for you. 🎥 https://lnkd.in/ek9H4AG8

Raffle winners of the year! 🎉 It’s always a highlight to see so many smiles at our booth. We’ll be back on the conference circuit soon—with more prizes, of course.

Happy third work-iversary to Christian, Senior Software Engineer at Bigeye! Your impact on the team doesn’t go unnoticed—and your coworkers had plenty to say about it: 🦾“Thanks to his hard work, everything works perfectly.” 🥓“Christian came to the rescue at the last second. Thank you for jumping in and saving the collective bacon!” 🏋️“It was a gnarly task, but Christian handled it like a pro.” Thank you for everything you do!