Juraci Paixão Kröhling’s Post

🔧 𝐈𝐧𝐬𝐢𝐝𝐞 𝐭𝐡𝐞 𝐌𝐋𝐎𝐩𝐬: 𝐇𝐨𝐰 𝐋𝐨𝐠𝐠𝐢𝐧𝐠 𝐁𝐫𝐢𝐧𝐠𝐬 𝐂𝐥𝐚𝐫𝐢𝐭𝐲 𝐭𝐨 𝐌𝐋𝐎𝐩𝐬 Ever feel like your ML pipeline is a black box? You’re not alone. From model training to deployment, so many things can go wrong .... and when they do, good logs are your flashlight in the chaos. Logging isn’t just about debugging. It’s how top MLOps teams track performance, catch failures early, and scale with confidence. At NovaSphere Sol, we believe every insight starts with visibility. 💡 Pro Tip: Don’t wait for something to break. Build strong logging practices early ... your future self (and your ops team) will thank you. #MLOps #MachineLearning #AIInfrastructure #Logging #NovaSphere #AIOps #MLLogging #TechTips

Day 2 at ObservabilityCon London delivered in a big way. My top takeaway: Grafana Labs announced that Adaptive Tracing is GA, a major step toward collecting traces at true production scale without the fear of runaway costs. This enables us to capture the traces that matter: those with anomalies, errors, and performance issues. Because the keep-or-drop decision is made at the end of each trace, all RED metrics should be captured. Adaptive Tracing really has the potential to significantly enhance the observability ecosystem for large enterprises! Huge thanks to the Grafana community and speakers for the energy and insights. Safe travels home! #ObservabilityCon #AIOps #o11y

Big milestone for Grafana Labs: we’ve officially surpassed $400M ARR, grown to 7,000+ customers, and welcomed new investors to fuel our next phase of growth! “The need to monitor system performance more closely will only increase as the tech industry continues to accelerate with AI. It’s more important than ever at this moment in time.” Proud to be part of the team that helps organizations like NVIDIA, Anthropic, Salesforce, and thousands more turn signals into action with open observability and AI-powered solutions. Excited for what's ahead, this is just the beginning! 🚀 Check out the full story from Forbes linked in the comments below. #GrafanaLabs #Grafana #observability #o11y #sre #DevOps #GenAI #opensource #OSS

New: Grafana Labs, which helps companies monitor their data and internal systems, has hit $400 million in ARR and closed a tender offer of up to $150 million. https://lnkd.in/gWAQWQxU

"You are not my enemy." I speak with Datadog, New Relic, Grafana, and other Observability startup founders all the time. And I'm pretty transparent about our mission, our high level approach, and our big tent philosophy. Here's the thing: the biggest problems in Observability aren't going to be solved in isolation. There are huge fundamental flaws in how telemetry is created and how it is interpreted. And the larger community will need to spend years testing and refining different techniques before we collectively get things right. People are already realizing the future of Observability won't be about "send this data, get access to this new type of dashboard" like it is right now. And as customer architectures grow more complex, manually crafted dashboards and alerts will become things of the past. In their place, every single vendor will need to create their own intelligence for interpreting raw telemetry and helping customers prevent, identify, diagnose, and resolve incidents. That logic will be layered, nuanced, and intricate -- not something that can be conveyed over Zoom or in slides. At OtterMon AI, our founding team has spent over a decade honing our telemetry analytics techniques at different companies. Our methodology is the culmination of entire careers spent deep in the weeds with literally thousands of customers, websites, and use cases. But we haven't seen everything. No one has. So if we want to get this right, it will take a community to pull it off. Comparing notes. Adjusting techniques. Testing, learning, and failing quickly. And always keeping in mind that the ultimate objective is a better quality of life for every engineer out there who's counting on us. So let's build better solutions faster, together. 🚀

How Shuttle is Building the AI Platform Engineer. Shuttle, revolutionizing developer experience for building web apps, led by Nodar Daneliya and Juan Rodriguez Andrade, has secured $6 million from Y Combinator, Global Founders Capital, Thomas Dohmke, former CEO of GitHub, Calvin French-Owen, Founder of Segment, and Senior leaders from OpenAI, Deel, Confluent, and others. Read More At: https://lnkd.in/gP2KBzhR X: https://lnkd.in/g-e3-ppT Source: https://lnkd.in/gwfrtzuJ

How Shuttle is Building the AI Platform Engineer. Shuttle, revolutionizing developer experience for building web apps, led by Nodar Daneliya and Juan Rodriguez Andrade, has secured $6 million from Y Combinator, Global Founders Capital, Thomas Dohmke, former CEO of GitHub, Calvin French-Owen, Founder of Segment, and Senior leaders from OpenAI, Deel, Confluent, and others. Read More At: https://lnkd.in/gpQys9R7 X: https://lnkd.in/gJmM2edS Source: https://lnkd.in/gR3nmJND

I attended the AI meetup for GenAI, LLMs, and Agent at GitHub HQ in San Francisco last night.  Michael Sekamanya, CEO of https://ametnes.com, discussed the AI/data ecosystem and how his Ametnes platform can be used to achieve data democratization that allows organizations to have self-serve data.  He provided a sample architecture, and a roadmap for engineering teams to follow (establish visibility, secure the foundation, build for collaboration, and enable experimentation).  Tyrone Michael Avnit, senior software engineer at https://civic.com, demonstrated how to leverage Civic and Claude Code to explore rapidly building and testing fully functional agents. #EigenX #AI #GitHub #SanFrancisco #BayArea

Lift off! We’re proud to announce that Grafana Labs has blasted past $400M ARR and 7,000 customers worldwide. We’ve also completed a secondary transaction led by Ontario Teachers' Pension Plan with Sapphire Ventures, Tiger Global, and existing investors. As our CEO Raj Dutt told Forbes: “The need to monitor system performance more closely will only increase as the tech industry continues to accelerate with AI. It’s more important than ever at this moment in time.” To our community — thank you for being part of this open observability mission with us. Read more from Richard Nieva at Forbes: https://lnkd.in/ef3q6PHS