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IBM Cloud Partners with LogDNA for Seamless Observability

Key Points

  • LogDNA offers a unified platform that aggregates logs from servers, OS, and services, enabling developers and DevOps teams to monitor and debug production issues.
  • IBM Cloud and LogDNA partnered to embed LogDNA’s observability tools into IBM’s developer‑focused cloud platform, leveraging shared commitments to multicloud, Kubernetes, and developer productivity.
  • IBM Cloud’s simplicity, scalability, and seamless search experience have allowed LogDNA to grow rapidly while maintaining a lean operational team.
  • The integration with IBM’s Kubernetes services has dramatically reduced infrastructure maintenance effort, flipping the traditional 70%‑30% (maintenance‑development) workload ratio.
  • Together, the collaboration delivers a powerful, user‑friendly logging and observability solution that enhances developer experience and accelerates issue resolution on IBM Cloud.

Full Transcript

# IBM Cloud Partners with LogDNA for Seamless Observability **Source:** [https://www.youtube.com/watch?v=JetS6s7ZxRs](https://www.youtube.com/watch?v=JetS6s7ZxRs) **Duration:** 00:09:06 ## Summary - LogDNA offers a unified platform that aggregates logs from servers, OS, and services, enabling developers and DevOps teams to monitor and debug production issues. - IBM Cloud and LogDNA partnered to embed LogDNA’s observability tools into IBM’s developer‑focused cloud platform, leveraging shared commitments to multicloud, Kubernetes, and developer productivity. - IBM Cloud’s simplicity, scalability, and seamless search experience have allowed LogDNA to grow rapidly while maintaining a lean operational team. - The integration with IBM’s Kubernetes services has dramatically reduced infrastructure maintenance effort, flipping the traditional 70%‑30% (maintenance‑development) workload ratio. - Together, the collaboration delivers a powerful, user‑friendly logging and observability solution that enhances developer experience and accelerates issue resolution on IBM Cloud. ## Sections - [00:00:00](https://www.youtube.com/watch?v=JetS6s7ZxRs&t=0s) **IBM Cloud Partners with LogDNA** - IBM Cloud CTO Jason McGee and LogDNA CEO Chris Nguyen discuss their collaboration to embed LogDNA’s logging and observability platform into IBM Cloud, highlighting benefits for developer productivity, multicloud flexibility, and Kubernetes integration. - [00:04:44](https://www.youtube.com/watch?v=JetS6s7ZxRs&t=284s) **IBM‑LogDNA Joint Cloud Partnership** - The speaker explains how IBM uses LogDNA as a cloud client, embeds it as an OEM solution for its own and IBM’s customers, and highlights the mutual win‑win benefits of scale, enterprise‑ready logging, and shared confidence in the partnership. - [00:07:55](https://www.youtube.com/watch?v=JetS6s7ZxRs&t=475s) **Compliance, Collaboration, and Predictive UI** - The speakers highlight how LogDNA meets PCI, GDPR, SOC 2, and HIPAA requirements, partners with IBM to tailor a UI/UX that offers preset Kubernetes graphs and alerts for a seamless developer experience, and express excitement about continuing their joint effort. ## Full Transcript
0:00So, I am Jason McGee and I am CTO for IBM Cloud platform. I'm Chris Nguyen, I'm 0:05CEO and Co-founder of LogDNA. So great to be here with you Chris, I think we just 0:10got a chance to talk about our partnership and what we're doing. Why 0:13don't you kick off with you know tell us a little bit about LogDNA and what you 0:17guys do, and then we'll talk about kind of our partnership together. Absolutely, 0:20thanks for having me this is a super fun moment. LogDNA, we help developers and 0:25engineers, DevOps teams monitoring and debug their production issues. We aggregate all 0:31the logs, whether it's from servers or OS and platforms and we put into a powerful 0:36platform that gives you full visibility into your infrastructure 0:41which is pretty fun. That's great, yeah so, you know at IBM Cloud we're 0:44trying to build this platform for developers, and logging and 0:48observability are so important for developer productivity, and so you and I 0:53started work together a few years ago to kind of combine the best of what you 0:57guys were doing and bring it to the IBM Cloud platform. It's been really 1:01interesting to me when you tell me a little bit about like the growth that 1:04you guys have seen over the last year. It's been awesome, like we, 1:08I love being a customer of IKS and we see the scale and the 1:12flexibility that it made perfect sense when we met two years ago, your world and 1:17our world goes hand-in-hand. Right. And it's nice, we we were big 1:20believers in multicloud, we're big believers in Kubernetes, and it's nice 1:24that the bets we made two years ago actually paid off, and it's actually the 1:28future what we think about together. Right. I think what was nice is the 1:31simplicity of IBM Cloud match our simplicity of what we think about simple 1:36is also powerful from a usability perspective, from a scale, from a search, 1:40and it's very seamless. That's the best part, is the key to developers, and IBM Cloud 1:45with the power of LogDNA, so it's a great win-win scenario. Yeah, I mean, so 1:50let's talk about, kind of you as a client of IBM Cloud, you know one of the 1:55things that attracted me to LogDNA was really two things. One was this 1:59incredible user experience that you guys have built around developer need for 2:04understanding their environments, and two, especially two or three years ago, very 2:09forward-looking on, kubernetes as a platform for running things. 2:13So, you know what's worked well for you on IBM Cloud? What, do you know, what do you like 2:17about it? I think simplicity to scale. So when we 2:21think about scale we we do a lot, and again I don't know full information but 2:25we do a lot, and we have a pretty lean team that could manage that and scale. 2:30So, I think nowadays with the power of kubernetes you don't have to maintain it 2:34as much, right. So, there's like, I think you mentioned that 70/30 rule, 2:37in the past you know 70% is is spent on maintaining infrastructure, it's flipped 2:43now, right, and we love that. So it allowed us to deploy LogDNA on your 2:46infrastructure, pretty efficiently, and from a customer perspective it's easy to 2:52use and it matches with the best out there, so we love it and we're super 2:56proud to be to call ourselves customers. Yeah, and one of the things I think is 3:00really interesting is that they take logging as a use case. It's not maybe what 3:04people typically think of with kubernetes, you know, it's very 3:07data-intensive, lots of information, high ingest rates on logs coming in, a lot of 3:12processing, not where people really started with kubernetes. Any struggles 3:18they're like..? No. Do you feel that like, you know, I'm doing something on the edge or 3:22you know, did it..? I think we always had the foresight of the volume of days 3:26growing exponentially. So when you think about that, we had to think about 3:29building a platform that's able to ingest that well and store and search 3:32it. The second is because of the complexity, we knew the complexity 3:36because of DevOps, containers, kubernetes, it's gonna be complex and the data is going to be 3:40fragmented. So how do we make it simple, and I think our user experience is 3:44always magical, and it should always feel that way. Right. And the third, was like 3:47one size does not always fit all, so how do you capture the right platform for 3:52developers, versus DevOps, versus security, and that is hard to do, and it was a lot 3:58of foresight we did, I think we just hit our four-year birthday and we 4:03had that first foresight of like it should be a beautiful product and less 4:07is more. So you're up and running with kubernetes with two command lines which 4:11is pretty quick. Right. And you tested it. Yeah. Which is awesome and that's how it 4:15should always feel like, you have other things to focus on your priorities, and us 4:19handling the infrastructure monitoring aspect, observability, should be our core 4:24focus, that's the benefit of IBM customers. Yeah, 4:27so let's talk about our partnership a little bit, so logging it plays an 4:31important role for IBM. You know you are the embedded logging solution within our 4:36cloud. Yes. And you know I think the you and I have done a lot of work together 4:40to try to make that a seamless experience for our users, our joint users. 4:44You know one of the ways that I tried to push our partnership is IBM 4:50being a client of yours as well. Correct. We have this kind of joint relationship 4:53which I think is really powerful, and we use LogDNA tremendously within the 4:57cloud team, and in other parts of IBM to run our own systems. Yes. 5:02Right. And I think that's taught us a lot about you know how to operate at scale, 5:07you've pushed kubernetes service hard which has been good as well. Talk 5:12to me a little bit about kind of the partnership angle and kind of how its 5:15benefited you guys. It's such a win-win scenario, So one, we're customers of IBM 5:18Cloud. Second, we get to embed OEM, our product to 5:23your customer base. Right. And your customers happens in two folds, it's 5:27your customer base that you have but also IBM is their own customer. Right. And it's 5:31such an honor when we see scale and that's the word that resonates 5:35a lot, and the reason why you have scale is customers that hit Watson uses 5:41us, Weather Channel uses us and that's a lot of logs, right, 5:46and it's being able to handle that infra which just talks about so much of like 5:50enterprise ready product. Yeah, right. Not just for IBM, but for IBM's customers as 5:54well and just it doesn't get more confidence there versus the other 5:58options that were out there. Yeah, one of my personal favorite moments is when I 6:01was at the Masters last year and walking through the Operations Center that IBM 6:05runs to run that event and and seeing the team there on the ground who I'd 6:09never met using LogDNA using IBM Cloud and kind of leveraging that is how they 6:13ran that event and all on their own, self service, they just consumed the platform. 6:17That's amazing, that's what we're seeing a lot of, just internal teams using it just 6:21because it's easy if you're up and running within minutes. Yeah. And that's 6:25how it should always be, but also the data that you're capturing and the 6:29value of sending alerts. It's a lot of flexibility that's we think for first 6:33and foremost of our product and it jointly collaborates pretty 6:36well. Yeah, so what's next? What do is a big thing that you think 6:41you guys are focused on next that we can go do together? I think when we talk 6:44about like OpenShift is a great opportunit,y we talked about Cloud 6:47Paks is a great opportunity, and it's nice that the technology, our technology is 6:51aligned, super aligned with with your future path and it comes down to execution. I 6:56think being a lean team we get to focus on what matters most, but most 7:01importantly our core DNA has always been developers, and it's what do developers 7:06want, how do they get up to speed, and how do you just get them hooked so that we 7:09can land and expand over time. Yeah. That's a new movement that we both share together 7:13which is amazing. Yeah, I love the lean team. I remember when we first 7:17met and you know I have this really small focused team and 7:20the amount that, I 7:21think we all lose sight sometimes of you know with cloud, with public cloud, with 7:26technologies like kubernetes, but with all these things we were so used to 7:29talking about we lose sight of like how much people are able to accomplish 7:33with small teams using those platforms. It was awesome, a great communication between 7:38the teams. It was just a vote of confidence both ways because the fact 7:42that IBM was forward thinking to say who do we partner with, and also the fact 7:46that we were able to showcase our technology from scale as one perspective, 7:51flexible deployment, but I also love that we're fully compliant across the board. 7:55Yeah. It's PCI, GDPR, SOC 2, HIPAA, we were ready. Yeah. And then it doesn't 8:01get better alignment then having the right overlap. Especially with IBM's 8:05kind of focused customer base absolutely the industries that we're in like that 8:08was really critical that that layer of the platform which can contain a 8:12lot of sensitive data met those requirements and that was really 8:16key for us. Right. And I think we get to collaborate of what our future, our 8:19UI/UX looks like. Right. I look forward to how do you create predictive graphs, so 8:25instead of teams walking in setting up their own graphs if we know it's kubernetes 8:28here's a five graphs you need to know and where do you want 8:31the alerts being sent. So, we always think about building those magical moments 8:34and this should feel magical when developers use us. Yeah, well look 8:39Chris, I really appreciate the partnership that we've had. I'm excited 8:42for what we're doing. I think LogDNA has really proven 8:45to be a powerful platform for our customers and I'm excited for 8:49us to continue to collaborate together. Well thanks for collaborating and we're just 8:53getting started, that's the best part. Great, and for everybody 8:55else you know go check out LogDNA on logdna.com, or come to IBM Cloud 9:00and check out the offerings that we have there. Thank you very much. Thank you.