Operations | Monitoring | ITSM | DevOps | Cloud

Why database governance in financial services is falling behind where it matters most

If anyone knows how to operate under scrutiny, it’s database teams within finance organizations. It’s a given considering the more rigorous compliance requirements and processes they must follow. But the 2026 State of the Database Landscape: Finance Edition reveals something more specific, and more uncomfortable, than the familiar story of regulatory pressure.

The alerts worth your time. Resolved faster

It's 7am. An alert fired overnight. You open your monitoring solution, navigate to the alert, cross-reference the waits, check the query plans. Twenty minutes later: it should not have fired. You knew that before you started, but you had to check anyways. The feeling of being overwhelmed by alerts is real. And so is the cost. Thresholds set once and forgotten, firing on patterns that have been normal for months. The inbox fills. DBAs learn to ignore most alerts. The workaround becomes the workflow.

A New Console for Qovery

We rebuilt large parts of the Qovery Console: new navigation, overviews at every level, dark mode, and a modernized frontend architecture with TanStack Router and React Suspense. Rémi is a staff frontend engineer at Qovery. He writes about frontend architecture, developer experience, and building scalable UI systems for platform engineering tools. Théo is a senior product designer at Qovery.

Context is King #5 - Building Safe AI Agents

As AI agents gain more autonomy, safety can't be an afterthought. In this talk from Context is King in London, Jonatan von Martens (AI Safety Engineer at ElevenLabs) shares what it actually takes to build agents that behave reliably in production. Context is King is a meetup series co-organized by Flow AI and Aiven for engineers shipping AI agents in production. No pitches — just real implementation stories.

Context is King #5 - A Semantic Layer for the Agentic Era

Agents are only as good as the queries they can run. In this talk from Context is King in London, Egor Kraev (Co-Founder & CTO of Motley) breaks down how a well-designed semantic layer becomes the connective tissue between natural language intent and reliable data retrieval. Context is King is a meetup series co-organized by Flow AI and Aiven for engineers shipping AI agents in production. No pitches — just real implementation stories.

Context is King #5 - Ontologies as Executable Context for AI Agents

Can a knowledge graph do more than store facts — can it actually run your agent? In this talk from Context is King in London, Teodoro Baldazzi (Principal AI Engineer at Prometheux) makes the case for ontologies as executable context: structured knowledge that doesn't just inform AI agents, but actively shapes how they reason and act. Context is King is a meetup series co-organized by Flow AI and Aiven for engineers shipping AI agents in production. No pitches — just real implementation stories.

Automated Alerting: Stop Losing Money to Delayed Notifications and Inefficient Alerting Workflows

When incidents are not addressed – or not addressed quickly enough – businesses incur significant costs. Mean Time to Resolution (MTTR) increases. In the worst cases, the financial impact extends beyond your organization to customers and partners. Automated alerting reduces response times and notifies the right people when action is needed.

Stop Missing After Hours Calls with SIGNL4 Call Routing

Many teams invest time building an on-call rotation, but inbound calls often ignore that structure completely. A support number forwards to a single phone. One engineer ends up taking every call. Sometimes the call goes unanswered and the voicemail lands in a shared mailbox that nobody checks until the next morning. Even worse, the team might have several engineers on duty, but the phone system has no awareness of who is actually responsible at that moment.

Your Monitoring Stack Wasn't Designed. It Was Procured.

The 2am war room hasn’t gone anywhere. Ten years after Gartner coined the term AIOps, the platforms are bought, the licenses are renewed, the dashboards are live — and serious incidents still get resolved by engineers paging across multiple consoles, trying to work out where the fire actually is. MTTR has barely moved. Alert fatigue hasn’t eased. The outcomes the category promised, in most enterprises, have not arrived. Matt Lowe’s recent article on AIOps names the shortfall well.