Operations | Monitoring | ITSM | DevOps | Cloud

Unlock the full potential of your Bitbucket Pipelines! In this video, I introduce four advanced configuration options you can add to your bitbucket-pipelines.yml file to boost performance and cut costs: Try adding a larger Size parameter to your slowest steps, or set up retry conditions for flaky tests to get started.

Harness Database DevOps has added Flyway support alongside Liquibase, offering teams a choice between structured changelogs and SQL-first migration scripts. This multi-engine approach ensures developers can use their preferred tool while benefiting from centralized governance, automated safety features, and a unified pipeline for all database changes. The goal is to make database delivery safer, more automated, and flexible across the enterprise.

Learn how to quickly create a fork of your Aiven for PostgreSQL instance to set up a safe staging or testing environment. In this demo, we walk you through selecting your project and service, navigating to the backups & forking section, naming your new instance, choosing the cloud provider and plan, and finalising the fork to replicate your original database. This approach allows you to test changes safely without affecting your production database, making development and QA workflows much more reliable.

The Future of Digital & IT Operations - Agents in Action: Observability, AIOps, Security & SRE.

The Future of Digital & IT Operations - Agents in Action: Observability, AIOps, Security & SRE.

In this preview of his AWS re:Invent session, Cortex CTO & Co-Founder Ganesh Datta breaks down how AI coding assistants are transforming software development, and what high-performing teams are doing to keep speed and reliability in balance. You’ll learn: If you care about AI, engineering velocity, or building sustainable systems, this is a must-watch. Full Session: December 3 at 2:30 PM Learn more about Cortex: go.cortex.io/reinvent.

Agents in Action: Observability, AIOps, Security & SRE.

The AI workload presents the ultimate challenge, highlighting the structural limitations of the traditional hyperscaler model. In this segment from a Civo Navigate London 2025 session, Kelsey Hightower explains exactly why AI adoption forces enterprises to confront flawed architecture and rising astronomical costs. When specialized hardware is scarce and rented GPUs sit idle at a premium, it’s clear that traditional cloud providers were not built for this era. Data that didn't move is forcing organizations to move compute back to where it lives.