Mitchell Hashimoto

A dev cluster left running over the weekend racks up $3,000 in charges before anyone notices. In large scale environments, this isn’t rare, it’s the price of thousands of moving parts running without clear oversight. Compute nodes spin, ephemeral storage lingers, and pipelines trigger around the clock. The complexity that makes cloud infrastructure flexible also hides waste. Traditional monitoring floods teams with alerts but rarely shows the business impact. AIOps cuts through the noise, correlating signals to highlight incidents that drain budgets, not just CPU cycles. When idle resources are cleaned up automatically, workloads are placed where they cost less, and budgets are enforced in real time, those surprise Monday bills disappear. The result is up to 30% lower cloud and infrastructure costs, and a faster path from issue detection to resolution. AIOps improves technical resilience through automated incident detection, root cause analysis, and triage. And strengthens operational efficiency by consolidating tools, unifying siloed teams, and creating full visibility across hybrid cloud architectures. Kubiya.ai brings this to life with AI-driven observability, intelligent scaling, and automated cleanup, stopping waste before it hits your invoice, while boosting performance and agility across the board.

151

9 Comments

Really proud of the work Harry Pierson and the team have done in releasing DBOS Java today! DBOS Java brings lightweight durable workflows to Java. Workflows make your program durable by checkpointing its state in Postgres. If your program ever fails, when it restarts all your workflows will automatically resume from the last completed step. Workflows are useful for solving many problems, such as: - Orchestrating business processes so they seamlessly recover from any failure - Operating an AI agent, or anything that connects to an unreliable or non-deterministic API. - Running reliable background jobs with no timeouts. - Processing incoming events (e.g. from Kafka) exactly once What’s unique about DBOS workflows is that they’re implemented entirely in a lightweight Postgres-backed library. All you have to do to use DBOS is install the library into your application and register workflows and steps. As your program runs, the library checkpoints your workflows and steps in Postgres. If your program ever fails, when it restarts it uses those checkpoints to resume all your workflows from the last completed step. There are no other dependencies you have to manage, no separate workflow orchestrator–just your program and Postgres. The big advantage of this approach is that you can incrementally add DBOS to any Java application–it’s just a library. You can add workflows to your application without rearchitecting it or adopting any new infrastructure. It works out of the box with frameworks like Spring. Also, because it’s all Postgres-backed, you get all the tooling you’re familiar with: backups, GUIs, CLI tools–it all just works. You can use Supabase, RDS, Neon, or any other Postgres provider. Check it out on GitHub, try it out, and give us a star!

48

6 Comments

I love the way Ozgun puts it: Ubicloud is an open-source alternative to AWS, at a fraction of the cost How do they dare take on these cloud giants? Özgun shares the backgrounds of the founding team (Daniel and Umur) and what it really takes to go head to head with big tech   More videos from e2vc Summit!

64

1 Comment

Finally able to share what I’ve been working on for the past few months. Today, we’re launching HiBeam - a new division of Trifork built to tackle one very specific challenge: making sure critical infrastructure stays online. HiBeam emerged from the Erlang Solutions Americas team and reflects decades of experience designing resilient infrastructure at scale. Here are a few reasons why I think the timing is right for HiBeam to bring this expertise to the US enterprise market: 🛜 AI systems are becoming integral to business operations. The infrastructure supporting them must be increasingly resilient, able to handle massive data processing loads without downtime. 🏢 Most infrastructure still breaks under pressure. By implementing fault-tolerant, high-concurrency systems, costly failures can be avoided. 🚀 From real-time financial transactions to electronic health data to instant messaging, enterprises are navigating massive volumes of data - more than ever before - that must be kept running, even when components fail. Proud to lead this team of exceptional engineers as interim CEO, and to bring a new level of resilience to U.S. enterprises. Learn more: https://www.hibeam.dev/

120

1 Comment