Operations | Monitoring | ITSM | DevOps | Cloud

Watch this AI agent find and fix performance bottlenecks

Anyone can claim an AI agent will fix your performance problems. This demo shows exactly what it looks at and what it hands back. In this Product Highlights conversation, Sylvain Guittard, Senior Director of Product at Upsun who leads the team behind the Upsun console and CLI, runs the Upsun Cloud Performance Agent live on a demo project. His take: "You have a patch that is already available, and a recommendation, so you can see if it fits or not to your context." We get into.

Realtime transaction fraud detection - with an LLM?

Conversational AI with a chatbot is great for drafting emails or debugging code, but it’s less ideal for real-time application middleware. If you’re trying to inspect a financial transaction for potential fraud in the middle of a checkout loop, you don’t need an LLM to write you an essay about why a credit card transaction looks suspicious – you just need a probability score, and you need it as fast as possible.

Right-size your analytics stack with Aiven for ClickHouse

TL;DR If most of your Snowflake or Databricks spend goes to dashboards and reports, you are paying for a platform built for much bigger problems. Aiven for ClickHouse runs those workloads on a fixed plan, so adding dashboard users does not add to your compute bill. Native integrations with PostgreSQL and Apache Kafka also replace most of the ingestion and orchestration tools around your current platform. Move one dashboard at a time, and keep Snowflake or Databricks for work such as model training.

Bring Your Own Key: Encryption sovereignty without the headache

Let's start with an uncomfortable question that tends to surface exactly once, usually in front of an auditor, a customer's security team, or your own CISO: who can actually decrypt your data right now? For most managed databases and message queues, the honest answer is "the provider, technically, if they really wanted to." That's not a scandal. It's just how managed encryption-at-rest normally works: the provider generates the key, holds the key, rotates the key, and you trust them not to misuse it.

Build The Future: Building a Startup Inside a Scaleup

TL;DR Stan's experience ranges from raising millions for his own startups to working across programming, marketing, and PR. Here is how that versatile founder mindset fuels his Product Director role at Aiven today. Stan has had a lot of ownership from day one, in the most literal sense. Aiven headhunted him to build a new product from the ground up. "My onboarding was thirty minutes with my boss, who gave me a handful of really good and original ideas, he says. "After that, I had to figure it out.

How Etsy gets its mobile apps ready for peak traffic

Most advice about surviving a traffic spike is about capacity. Scale the fleet, warm the caches, load test the checkout path. All of it assumes you can fix whatever breaks the moment you find it. Mobile apps don’t work that way. I spent an hour on a workshop with Jay Henry, a senior engineering manager at Etsy who owns engineering strategy across three teams covering CI, build, test, release, observe, and SRE. Jay’s take: a web team having a bad day can revert in minutes.

Show off your uptime with SLA badges.

Your uptime is probably better than your customers think. But the proof sits in your UptimeRobot dashboard, where only your team can see it. Starting today, you can put it on your website. SLA badges let you set an uptime target for your monitors, then embed a live badge that shows the uptime you actually delivered, colored against that target. Add it to your site footer, your docs or your GitHub README, and get the result by email at the end of each period.

How Unified Cloud Monitoring Closes Hybrid IT Blind Spots

Modern IT runs across public cloud, data centers, containers, SaaS, networks, and AI services. Cloud monitoring delivers more value when those environments share the same observability context, giving teams a clearer way to troubleshoot service issues, manage cloud spend, and support AI-assisted operations.

How to Use Jira Planner to Plan Software Projects

Jira Planner is an AI planning agent in Jira that turns high-level product requirements into ready-to-build plans (requirements, technical specs, and Jira work items) grounded in your actual codebase, architecture, and Confluence context. In this video, you'll see how Jira Planner brings due diligence to the pre-build phase, so engineers and AI coding agents start from a plan that reflects the real code instead of a vague prompt. It's useful for product managers, engineering leads, and developers who want to cut the rework that comes from AI guessing at requirements.