Join Paul Nashawaty of theCUBE Research and Sam Weston, an industry analyst at SiliconANGLE and theCUBE, as they explore insights from the Open Observability Summit 2025, which is part of the larger Open Source Summit North America 2025.
Paul Nashawaty shares their expertise in observability and emphasizes significant findings from the event. Together with the hosts from theCUBE Research, the discussion concentrates on unified observability, the integration of OpenTelemetry, and groundbreaking announcements from important field players.
Key takeaways from the discussion include the industry's shift toward unified observability practices, with a significant portion of the global industry seeking a single-pane-of-glass solution. Nashawaty reports that the introduction of the Chronosphere Logs 2.0 framework and the MELT platform represents a decisive move toward future-ready observability with reduced data sprawl and improved developer efficiencies. The conversation also addresses the evolving role of artificial intelligence in observability, providing actionable insights within organizations' DevSecOps frameworks.
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Open Observability Summit Wrap | Open Source Summit 2025
Join Paul Nashawaty of theCUBE Research and Sam Weston, an industry analyst at SiliconANGLE and theCUBE, as they explore insights from the Open Observability Summit 2025, which is part of the larger Open Source Summit North America 2025.
Paul Nashawaty shares their expertise in observability and emphasizes significant findings from the event. Together with the hosts from theCUBE Research, the discussion concentrates on unified observability, the integration of OpenTelemetry, and groundbreaking announcements from important field players.
Key takeaways from the discussion include the industry's shift toward unified observability practices, with a significant portion of the global industry seeking a single-pane-of-glass solution. Nashawaty reports that the introduction of the Chronosphere Logs 2.0 framework and the MELT platform represents a decisive move toward future-ready observability with reduced data sprawl and improved developer efficiencies. The conversation also addresses the evolving role of artificial intelligence in observability, providing actionable insights within organizations' DevSecOps frameworks.
play_circle_outlineTransforming Observability: From Data Collection to Actionable Insights with Logs 2.0's Utility Scoring and Proactive Recommendations
Open Observability Summit Wrap | Open Source Summit 2025
Paul Nashawaty
Practice Lead and Principal AnalysttheCUBE Research
HOST
Sam Weston
Industry AnalystSiliconANGLE & theCUBE
search
Sam Weston
>> Welcome to theCUBE Research's coverage of Open Observability Summit 2025. I'm Sam Weston, and I am here with Paul Nashawaty today. Welcome, Paul.
Paul Nashawaty
>> Hey, great to be here, Sam.
Sam Weston
>> Awesome to have you. So we were recently, last week, at Open Observability Summit, part of Open Source Summit North America '25, and it was a great addition to the event. I really enjoyed hearing all the keynotes and everything that's happening in observability specifically, so I would love to hear your key takeaways of the day overall before we dive into some of the huge announcements.
Paul Nashawaty
>> Absolutely, absolutely. You know what was really exciting about the event was we just came off our AppDev Done Right Summit research event that we did, and we did, as you know, we did day zero, day one, day two in DevSecOps research. And our day two summit, it couldn't have been any more in alignment to the Open Observability Summit, because all the research that we were finding and all the key takeaways that we were finding from our research was in direct alignment to the announcements that were happening there. When we look at observability, we were finding that unified observability was the key focus out of the event. It is really consolidating down, and what we found in our research, that there's six to 15 different tools. 75% of the respondents indicated that six to 15 different tools for observability, and that goes across, whether it's cloudlog management, wording, APM, NPM, tracing, logs, et cetera. So there's a lot happening there, and having a unified view was one of the major takeaways, in my opinion. And it was also really great to talk about OTel and the OpenTelemetry initiatives that were happening and how that was really becoming more wide-stream with regards to adoption across the ecosystem. Yeah, this is a great question. When I think about observability, and you can contact us and have a lot more discussion around the research here, but what we found is logs is an area that many and most observability practices are striving to get to. They're moving away from just collecting data and being code storage admins and not doing anything with the information. They're moving towards actionable insights, and use this analysis from Chronosphere with Logs 2.0 with your announcement, it was about basically driving through this utility scoring system that really helped track the Corian dashboard usage, generating the proactive recommendations. This is key because now you can take action on the information. It's no longer red, yellow, green on the dashboard. It's more about what happens, how to take those actions, and actually not be a storage admin and remove the unnecessary resources that you may not be needing anymore. So that's a big announcement, Sam.
Sam Weston
>> Definitely a big one. And keeping going on that, we see that log volumes are growing 250% year over year, and this increases data sprawl, it increases the observability budget, so Logs 2.0's volume analysis and Lotus functionality should give more control over that. What are your thoughts there?
Paul Nashawaty
>> Yeah, agreed. This goes back to my previous comment of not storing unnecessary information. When you look at this announcement and Logs 2.0 from Chronosphere, the analysis and quota functionality really gives the team more control over the data sprawl and observability budget, so you could actually plan. This is something that was a challenge or it has been a challenge and continues to be a challenge for many organizations where they're not able to monitor volume trends and forced team level quotas or projected growth, which that's a big one, projecting the growth, because that way, you could understand that you don't have those runaway costs. And that's a big factor when it comes to observability because understanding that allows for proper planning and also allows for utilizing the technologies, depending on where you are. Irrespective of where you are in your own journey, you could be early in your observability practice or you can be very immature. That log volume management and quota analysis functionality gives you more control over your data and your data sprawl.
Sam Weston
>> Talking about the maturity in these organizations, right now, we're primarily talking about logs, but metrics and tracing is really where everybody wants to get to. So when we want to start unifying all of those views, that's what's going to help with the resolution times, with developer efficiency, and Chronosphere has MELT for that. So what else can we expect there as we reach higher levels of maturity?
Paul Nashawaty
>> Yeah, Sam, this is a great question, and actually, this was directly from our research. We were finding that that 54% of respondents of our research are looking for a unified view. Having a MELT platform or a metrics, events, logs and tracing platform allows for a unified view, a unified approach to understanding the data, but also more importantly, it's not just about having dashboards of individual products. It's about the ability to have resolution times and developer efficiencies, where you can actually move from one action to another, taking, and dare I say AI, taking AI and allowing AI to do some of that manipulation of the triggers that may occur. So if you have an event that occurs and it's something that comes up in the log, you could take actionable insights across, and using this MELT platform to have that unified view for a single pane of glass, and I said something I almost never say, but having a single view for your observability to understand that root cause analysis, to improve the MTTR. That really helps across with the telemetry types across your entire ecosystem. So I think it's important and aligns nicely to our industry data, Sam, and what we're seeing in our research. I think that that's a big impact for Chronosphere, a big advantage for Chronosphere to come out the door with having that unified view, because we're seeing, as I said, 54% of our respondents of a global study are looking to move towards that type of platform.
Sam Weston
>> Right, and I really thought that we were going to get through this whole video without talking AI, but glad you brought it up. Are there any last thoughts on observability plus AI before we close out our session here?
Paul Nashawaty
>> Yeah. I think, Sam, this is definitely an area where a lot of organizations are growing and trying to understand what they do next. Observability plays very closely with security. You have to know and understand something in order to secure it and vice versa, so this is something that we are going to watch very closely as observability solutions feed into the DevSecOps plays that we see, especially across the CI/CD pipeline and across the SDLC. I think that's a big part of it. I think that maturity of observabilities practices within organizations is going to continue to evolve and grow. We're going to see more adoption, especially when you have products like Chronosphere that come out the door with these approaches, these unified views. That will allow for an adoption that's a frictionless way of delivering. So I think that's going to happen sooner rather than later now.
Sam Weston
>> I couldn't agree more, but thank you so much, Paul, for all of your insights. It's always great having you on. You always bring the data. So thank you everybody for hanging out with us as we cover Open Observability Summit 2025. Stay tuned, and we'll catch you next year.
Open Observability Summit Wrap | Open Source Summit 2025
search
Sam Weston
>> Welcome to theCUBE Research's coverage of Open Observability Summit 2025. I'm Sam Weston, and I am here with Paul Nashawaty today. Welcome, Paul.
Paul Nashawaty
>> Hey, great to be here, Sam.
Sam Weston
>> Awesome to have you. So we were recently, last week, at Open Observability Summit, part of Open Source Summit North America '25, and it was a great addition to the event. I really enjoyed hearing all the keynotes and everything that's happening in observability specifically, so I would love to hear your key takeaways of the day overall before we dive into some of the huge announcements.
Paul Nashawaty
>> Absolutely, absolutely. You know what was really exciting about the event was we just came off our AppDev Done Right Summit research event that we did, and we did, as you know, we did day zero, day one, day two in DevSecOps research. And our day two summit, it couldn't have been any more in alignment to the Open Observability Summit, because all the research that we were finding and all the key takeaways that we were finding from our research was in direct alignment to the announcements that were happening there. When we look at observability, we were finding that unified observability was the key focus out of the event. It is really consolidating down, and what we found in our research, that there's six to 15 different tools. 75% of the respondents indicated that six to 15 different tools for observability, and that goes across, whether it's cloudlog management, wording, APM, NPM, tracing, logs, et cetera. So there's a lot happening there, and having a unified view was one of the major takeaways, in my opinion. And it was also really great to talk about OTel and the OpenTelemetry initiatives that were happening and how that was really becoming more wide-stream with regards to adoption across the ecosystem. Yeah, this is a great question. When I think about observability, and you can contact us and have a lot more discussion around the research here, but what we found is logs is an area that many and most observability practices are striving to get to. They're moving away from just collecting data and being code storage admins and not doing anything with the information. They're moving towards actionable insights, and use this analysis from Chronosphere with Logs 2.0 with your announcement, it was about basically driving through this utility scoring system that really helped track the Corian dashboard usage, generating the proactive recommendations. This is key because now you can take action on the information. It's no longer red, yellow, green on the dashboard. It's more about what happens, how to take those actions, and actually not be a storage admin and remove the unnecessary resources that you may not be needing anymore. So that's a big announcement, Sam.
Sam Weston
>> Definitely a big one. And keeping going on that, we see that log volumes are growing 250% year over year, and this increases data sprawl, it increases the observability budget, so Logs 2.0's volume analysis and Lotus functionality should give more control over that. What are your thoughts there?
Paul Nashawaty
>> Yeah, agreed. This goes back to my previous comment of not storing unnecessary information. When you look at this announcement and Logs 2.0 from Chronosphere, the analysis and quota functionality really gives the team more control over the data sprawl and observability budget, so you could actually plan. This is something that was a challenge or it has been a challenge and continues to be a challenge for many organizations where they're not able to monitor volume trends and forced team level quotas or projected growth, which that's a big one, projecting the growth, because that way, you could understand that you don't have those runaway costs. And that's a big factor when it comes to observability because understanding that allows for proper planning and also allows for utilizing the technologies, depending on where you are. Irrespective of where you are in your own journey, you could be early in your observability practice or you can be very immature. That log volume management and quota analysis functionality gives you more control over your data and your data sprawl.
Sam Weston
>> Talking about the maturity in these organizations, right now, we're primarily talking about logs, but metrics and tracing is really where everybody wants to get to. So when we want to start unifying all of those views, that's what's going to help with the resolution times, with developer efficiency, and Chronosphere has MELT for that. So what else can we expect there as we reach higher levels of maturity?
Paul Nashawaty
>> Yeah, Sam, this is a great question, and actually, this was directly from our research. We were finding that that 54% of respondents of our research are looking for a unified view. Having a MELT platform or a metrics, events, logs and tracing platform allows for a unified view, a unified approach to understanding the data, but also more importantly, it's not just about having dashboards of individual products. It's about the ability to have resolution times and developer efficiencies, where you can actually move from one action to another, taking, and dare I say AI, taking AI and allowing AI to do some of that manipulation of the triggers that may occur. So if you have an event that occurs and it's something that comes up in the log, you could take actionable insights across, and using this MELT platform to have that unified view for a single pane of glass, and I said something I almost never say, but having a single view for your observability to understand that root cause analysis, to improve the MTTR. That really helps across with the telemetry types across your entire ecosystem. So I think it's important and aligns nicely to our industry data, Sam, and what we're seeing in our research. I think that that's a big impact for Chronosphere, a big advantage for Chronosphere to come out the door with having that unified view, because we're seeing, as I said, 54% of our respondents of a global study are looking to move towards that type of platform.
Sam Weston
>> Right, and I really thought that we were going to get through this whole video without talking AI, but glad you brought it up. Are there any last thoughts on observability plus AI before we close out our session here?
Paul Nashawaty
>> Yeah. I think, Sam, this is definitely an area where a lot of organizations are growing and trying to understand what they do next. Observability plays very closely with security. You have to know and understand something in order to secure it and vice versa, so this is something that we are going to watch very closely as observability solutions feed into the DevSecOps plays that we see, especially across the CI/CD pipeline and across the SDLC. I think that's a big part of it. I think that maturity of observabilities practices within organizations is going to continue to evolve and grow. We're going to see more adoption, especially when you have products like Chronosphere that come out the door with these approaches, these unified views. That will allow for an adoption that's a frictionless way of delivering. So I think that's going to happen sooner rather than later now.
Sam Weston
>> I couldn't agree more, but thank you so much, Paul, for all of your insights. It's always great having you on. You always bring the data. So thank you everybody for hanging out with us as we cover Open Observability Summit 2025. Stay tuned, and we'll catch you next year.
