DigitalOcean

Last month, we announced preview for our revamped observability solution for DigitalOcean - 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬! The new Insights offers an improved observability experience built to provide granular insights with advanced metrics, logs, improved alerting and dashboarding, and multi-resource observability designed to give customers deeper insights into their infrastructure - especially tailored for AI/ML workloads. We’ve engineered a self-hosted, scalable, unified telemetry pipeline anchored by Open Telemetry, providing a vendor-agnostic foundation for our observability strategy. 𝐖𝐡𝐚𝐭 𝐋𝐚𝐮𝐧𝐜𝐡𝐞𝐝 𝐰𝐢𝐭𝐡 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐏𝐫𝐞𝐯𝐢𝐞𝐰 (1) 𝐆𝐏𝐔 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠: Turn complex hardware data into a clear pipeline to see if performance issues are caused by compute limits, bottlenecks, or hardware failure. (2) 𝐄𝐱𝐩𝐚𝐧𝐝𝐞𝐝 𝐀𝐥𝐞𝐫𝐭𝐢𝐧𝐠: Set alerts for ALL metrics in DigitalOcean, with new delivery options for PagerDuty and Webhooks. (3) 𝐏𝐫𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐋𝐨𝐠𝐠𝐢𝐧𝐠: Investigate issues quickly with advanced log search and filtering and a new dashboard that highlights volume trends and critical errors. (4) 𝐂𝐮𝐬𝐭𝐨𝐦 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬: Easily build custom dashboards to monitor EVERY DigitalOcean resource across your entire team. (5) 𝐅𝐥𝐞𝐞𝐭-𝐖𝐢𝐝𝐞 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲: Monitor every GPU to detect idle nodes and thermal issues. Ready to see what we've been building? Grab your invitation here: https://do.co/do-insights ! 🎉

Officially a Shark! 🦈💙 Better late than never for a career update! It’s been half a year since I joined DigitalOcean as a Software Engineer II, and the experience has been nothing short of a roller coaster, in the best way possible. Reflecting on the journey from being interviewed by Aman Chandna to now being a core member of his team has been incredibly rewarding. That initial "Day 1" excitement is still very much alive, though now it’s fueled by the thrill of solving complex problems at scale. A massive highlight was being part of DO Deploy 2026. Contributing to such a major event and seeing our work resonate with the global developer community was a proud moment for me. I also want to say a huge thank you to Rohitha Akurathi for the smooth transition and for giving me this opportunity to grow in such a dynamic environment. Proud to be a Shark and excited for what’s next! #DigitalOcean #DODeploy #SoftwareEngineer #SE2 #CloudComputing #CareerGrowth #LifeAtDO #SharkLife

Heading to San Francisco next week to speak at DigitalOcean Deploy with April Dagonese . We're doing a live session on inference – model selection, routing, and the economics of running AI at volume. Basically, the layer between your request and your response, and how to make it way smarter. Live demos. Real API calls. Real costs on screen. I've been building this thing for the last few weeks and honestly can't wait to show it 🙂 Would love to see you there. 📅 April 28 | 📍 Convene 100 Stockton, SF | Register: https://do.co/3NZOUgz

This just-published piece on optimizing large model deployments is what you need to read right now: https://lnkd.in/giXNr-XF It highlights an often overlooked but critical aspect of AI infrastructure: how storage throughput, data movement and memory directly impact efficiency. The core idea is simple but powerful: the more we optimize these layers, the more we allow GPUs to do what they’re best at - compute, not wait. A thoughtful and highly relevant read for anyone working on large-scale AI systems. DigitalOcean #DigitalOcean #AIInfrastructure #CloudInfrastructure

I’m excited to speak at #DOdeploy to share how @DigitalOcean is helping AI-native companies solve for latency, throughput, and unit economics under real-world load. Join us to see how we’re simplifying production AI at scale. 📅 April 28 | 📍 Convene 100 Stockton, SF | Register: https://do.co/3NZOUgz

The "Cloud Migration" story usually starts with excitement and ends with a spreadsheet. A few years ago, the trend was to move everything to the biggest providers possible. The thinking was simple: "If we have access to 200+ different services, we’ll be future-proof." But as these companies grew, a pattern started to emerge. Instead of spending their days building new features, engineering teams found themselves spending 30% of their time just managing the infrastructure. Simple tasks like scaling a database or spinning up new compute power became multi-day projects involving complex networking and permissions. Then came the "bill shock"—a maze of line items for data transfer, API requests, and idle resources that nobody quite remembered turning on. In 2026, we’re seeing the "Great Simplification." Teams are realizing that they don't need 200 services; they need five or six core services that are rock-solid, high-performance, and easy to understand. They are moving back to the fundamentals: Dedicated CPU Droplets that provide guaranteed power, Managed Databases that actually stay out of the way, and pricing that doesn't require a finance degree to predict. The most successful tech stacks this year aren't the most complex ones—they’re the ones that stay invisible so the developers can actually focus on the product. If your infrastructure has started to feel more like a hurdle than a foundation, it might be time to get back to the core. #DigitalOcean #CloudComputing #DevOps #SaaS #TechTrends #EngineeringFocus

At DigitalOcean, I built a multi-region GPU analytics platform from scratch — and it changed how the company made infrastructure decisions. Here's what the problem looked like 👇 GPU demand was exploding. But capacity planning was reactive — teams were making decisions on stale data, gut instinct, and spreadsheets. We needed to predict supply/demand across regions before problems happened. Not after. So we built a platform to do exactly that. 🏗️ The architecture (simplified): → Kafka ingested real-time GPU utilization signals across regions → Spark processed and aggregated at scale — handling billions of events → Airflow orchestrated the pipelines end-to-end → dbt modeled the data into clean, reliable layers in Snowflake → Python powered the forecasting logic on top The result? ✅ Infra teams could see demand signals days ahead — not hours ✅ Sales and Finance had revenue impact visibility tied to actual GPU usage ✅ Latency on critical capacity metrics dropped significantly ✅ Replaced a manual, error-prone process with a reliable, automated platform The hardest part wasn't the tech. It was designing a system that multiple teams — Infra, Sales, Finance, AI — could all trust and act on. That's what good data engineering actually is. Not just pipelines. Trust infrastructure. If you're building something similar or hiring for data platform roles — let's connect 👇 #DataEngineering #DataPlatform #Snowflake #dbt #Kafka #Spark #Airflow #OpenToWork #GPU #CloudInfrastructure

Exciting to see all the innovation from AI Disruptors like Probably , Specra.AI , and ACE Studio! Congrats to Peter Elias , Shiraz Chokshi , & Sean. Check out their stories & how they're moving faster and building with more cost efficiency on DigitalOcean 👇

4 signs your manager stopped investing in you: I was reading a newsletter from Steve Huynh about this and it clicked me, I thought to share it here. Your relationship with your manager is the most important relationship you'll have at work. When it's working, the flywheel spins: you get good work → you deliver → they trust you with more → you grow. Here are 4 signs Steve mentioned → Your manager has gone quiet on you → You keep getting the same work while good stuff goes elsewhere → Your 1:1s keep disappearing → The career growth conversation keeps getting kicked down the road Also please understand not every sign mean your manager has written you off. Here's what I've learned: better communication fixes most of this before it becomes a problem. When I joined DigitalOcean, I asked one question: "What do you want me to achieve in the next 6 months?" I did it. Then I asked the same question going into my promotion cycle. Did it again. I'm doing it right now. Here's what you can do: → Ask them if you're meeting expectations and request for feedback. → Don't bring complaints. Bring a plan, what you want to work on and how it ladders up to the business. → Don't say you wanna grow. It's vague. Come up with details -- like you want to do cross team work, or contribute in a project. And even after all of this you didn't hear anything, then you have the answer. I've been lucky to work with great managers. But luck isn't the whole story -- the right team and the right conversations compound over time. Protect both. ------- Thanks to Steve, and you can follow his newsletter.