NoBS.tech

Messy tagging doesn’t just annoy engineers—it slows down troubleshooting, clutters dashboards, and makes alerting unreliable. In Part 2 of our tagging series, we’re breaking down how to keep your tagging strategy clean, scalable, and actually useful over time. Read the blog ??https://lnkd.in/e_H9YaQN If you’re struggling to untangle your #Datadog tags–we can help fix that. Shoot us a note to connect. #Observability #Monitoring #DevOps #CloudOps #SRE

?? Last week, I attended an insightful webinar on Service Level Objectives (SLOs), hosted by Datadog and NoBS.tech ! It was a dive into best practices for defining, measuring, and improving reliability—essential for maintaining high-performing systems. As someone new to this topic, I really appreciated how Chloe Salomon and Nick Vecellio broke down the concepts in such a clear and structured way. Here are a few key takeaways that stood out to me: 1?? If you’re unsure where to start measuring, begin with the frontend, as most backend issues will surface there as well. 2?? A good SLO should be specific, realistic, and valuable for both engineering and business, e.g., a latency target of N ms. 3?? SLOs can serve both as a guideline—alerting teams to regressions—and as a target to drive continuous improvement. Another highlight of the session for me was the live demo showcasing how Datadog's interface helps set up SLOs intuitively. Seeing how the metrics are visualized and tracked made it much clearer how they can be leveraged effectively in day-to-day operations. A big thank you to NoBS.tech team for not only sharing the slides and recording but also for taking the time to thoroughly answer all remaining questions after the session. That level of follow-up really stood out! It’s always great to see knowledge-sharing in action. ?? Have you worked with SLOs in your projects? Would love to hear how you approach setting and tracking them! Drop your thoughts in the comments. #SLOs #ReliabilityEngineering #Datadog #NoBS

You had questions about SLOs; we did our best to answer them. We got a lot of great questions during our webinar on #SLOs with Datadog —we wish we had the time to dive more deeply into or even get to address in the first place. So, we did the next best thing–we answered them in a blog. ?? https://lnkd.in/ecw4wGdR This post provides real, NoBS answers to questions like: ?Should you set up SLOs at the customer frontend or backend? ?Who should have the final say on SLOs in an organization? ?Why would you select 90 days vs 30 days vs 7 days for an SLO? Have a follow-up question? Drop it in the comments. ?#datadogpartner #datadog #nobstech #nobs

#SLOs are supposed to make your systems—and your life—easier. So why do they so often turn into more stress and more noise? Datadog’s Chloe Salomon and NoBS.tech’s Nick Vecellio are hosting a webinar this Wednesday (Jan 29th) to help you fix that. They’ll share: ?? What works, what doesn’t, and why ?? How to stop over-alerting and start focusing on what matters ?? The mistakes they’ve made so you can avoid them Don’t miss your chance to make SLOs better. ?? https://lnkd.in/eeajEZcr #datadogpartner #observability #datadog #nobstech #nobs

SLOs are easy to make but hard to get right. Join Datadog and NoBS.tech in our webinar to get practical advice from engineers that can help you remediate noisy alerts and misaligned reliability goals. We’ll cover how to implement #SLOs within the Datadog platform that actually work, including: ?? Prioritizing with Purpose. How to focus on what matters when everything feels important. ?? Expectations, The Business, and Heartbreak. Aligning reliability goals with reality. ?? SLOs that work for you. Reducing noise and cutting down alert fatigue. When: January 29 from 1 PM – 2 PM ET Register here: https://ow.ly/YcoQ50UMH4J

There are too many books and articles out there that make #SLOs seem easy. The reality is that they're easy to make, but really difficult to get correct. Join our webinar with Datadog on Jan 29th where we'll tell you what we’ve done wrong so you don't have to, and how to implement practical SLOs within the #Datadog platform. Topics include: ??What IS an SLO? ??You can't boil the ocean ??Expectations, The Business :tm: , and Heartbreak ??SLOs for the greater good So if you want to implement SLOs but don't know where to start, this session is for you. ?? Sign up https://lnkd.in/eeajEZcr #observability #datadogpartner #nobstech #nobs

Think you've nailed your SLOs? Think again. #SLOs sound simple on paper: “Define, measure, done.” But let’s be real—most SLOs either make no sense, overpromise, or just waste everyone’s time. In our blog, we’re calling out the fluff and showing you how to: ??Focus on metrics your users actually care about ??Avoid SLOs that scream, “We don’t know what we’re doing” ??Use #ErrorBudgets to keep reliability (and your sanity) in check Stop chasing impossible uptime and start setting realistic goals that align your team and the business. Read the blog ?? https://lnkd.in/e5pxBFNb Need a hand? Join our upcoming session on SLOs with #Datadog Jan 29th. ?? Sign up https://lnkd.in/eeajEZcr #DatadogPartner #NoBStech #NoBS?

Datadog has been named a Leader in the August 2024 Gartner? Magic Quadrant? for Observability Platforms. Learn more: https://lnkd.in/eFjQ9pNg

We hope you had as much fun as we did at #dash2024! Shout-out to everyone that stopped by, got to know us, and left knowing that their goals are in reach! Cheers everyone, safe travels home #datadog #observability #nobstech #nobs

Cut through the BS and Level Up Your Observability at DASH! Find us right across from the Observability Theatre in the Expo hall to learn more on how to unlock the full potential of Datadog with NoBS. #DASH2024 #Automation #monitoring #datadog #golddatadogpartner #nobstech