Operations | Monitoring | ITSM | DevOps | Cloud

Open Source Liquibase MongoDB Native Executor by Harness | Harness Blog

Harness is strengthening the open Liquibase ecosystem by introducing a native MongoDB executor that removes long-standing limitations for Community Edition users. It enables teams to run MongoDB scripts, generate changelogs, and integrate database workflows into CI/CD without relying on paid extensions. The initiative reinforces open collaboration while making MongoDB-based database DevOps more accessible, consistent, and production-ready.

Elephant in the Room, Episode 2: Working with Feature Flags, Read Replicas, and Postgres Analytics

Welcome to Elephant in the Room – presented by Aiven, the live series where we explore the real-world challenges developers face when working with PostgreSQL, the database that everyone depends on but few fully leverage. In Episode 2, Jay Miller, Staff Product Advocate at Aiven, is joined by Alexis Roberson, Senior Developer Educator and feature flag enthusiast, to break down how feature flags help teams ship faster, reduce risk and improve user experiences in PostgreSQL-backed applications.

The foundations of software: open source libraries and their maintainers

Open source libraries are repositories of code that developers can use and, depending on the license, contribute to, modify, and redistribute. Open source libraries are usually developed on a platform like GitHub, and distributed using package registries like PyPI for Python and npm for JavaScript. These repositories contain pre-written, re-usable code that developers use to add elements or features within their software projects.

Why Your Data Catalog is Your AI's Brain | Stan Dmitriev, AI Product Director at Aiven

Data catalogs are no longer just for compliance - they are the essential context layer for AI. While LLMs are powerful, they fail without the "tribal knowledge" found in metadata. This session explores how to transform your catalog from a static repository into an active nervous system for AI agents.

Context Management for Agentic RAG | Johan Jern, Co-founder & CTO at Realm

Some queries are hard to solve with "basic" RAG. When questions require multi-step reasoning, full-document understanding (not just chunks), or aggregating many results that match specific criteria, simple retrieve-and-generate pipelines break down, we need agentic RAG. But this added capability comes at a cost: as agents plan, search, read, and iterate, they quickly use up a lot of context, which both degrades answer quality and increases costs and latency.

Why Your Company Will Be Running OpenClaw Next Year

You’ve probably heard of OpenClaw. Maybe you’ve seen the demos where an AI agent opens a browser, navigates to your CRM, fills in a form, and files a support ticket. No API required. Maybe you thought “that’s cool but I’d never run that at work.” Your employees already are. According to Permiso’s research, 22% of enterprise customers have employees running OpenClaw without IT approval.

Get Kafka-Nated Bonus Episode: Viktor's Kafka Journey

In this episode, we sit down with Viktor Somogyi-Vass, a veteran of the Kafka ecosystem who recently joined Aiven after nearly a decade at Cloudera. Viktor shares his journey from becoming an Apache Kafka Committer to tackling the most complex challenges in modern cloud-native streaming. We dive deep into the architectural shift from traditional data centers to the cloud, exploring how Diskless Kafka (Disaggregated Storage) is slashing costs and why KIP-1134 is the next frontier for true multi-tenancy.