Operations | Monitoring | ITSM | DevOps | Cloud

Salesforce just put Heroku into maintenance mode and ended Enterprise sales for new customers. The AI era also flipped the migration math: what used to be a six-month project is now a one-prompt, agent-driven move to your own cloud. Here's why now is the best time to leave Heroku. Julien is a Senior Product Manager at Qovery. He bridges engineering and product, writing about deployment workflows, environment management, and DevOps patterns.

Accurate financial records are the foundation of effective business management. Yet many organizations struggle with discrepancies between their fixed asset records and the assets that actually exist within the business. Over time, assets may be transferred, disposed of, misplaced, or incorrectly recorded, creating gaps between financial statements and physical reality. This is where fixed asset reconciliation becomes essential.

Handling client calls when a third-party vendor has an outage - this will sound familiar if you are a managed service provider (MSP). Your first instinct would be to check if the vendor's status page or social media handle shows anything, or check crowdsourced websites like Downdetector. Or even ask your client to check themselves. These approaches do not scale when you have more than a few clients, many vendor status pages to check, and clients with different stacks.

TL;DR Choosing the right AI-powered observability platform isn’t about who has the most AI features. It’s about which platform helps your team identify root causes faster and spend less time investigating incidents. Here’s the short version: Logz.io + OrionIQ: Autonomous AI agents investigate incidents, perform root cause analysis, and surface next steps. Open standards, Kubernetes-ready, and deploys in as little as a week.

Most hybrid cloud strategies fail not at launch but at scale. The architecture works fine for the first year. The team's workloads are modest, the integration points are limited, and the operational overhead is manageable. Then the business grows. Workloads multiply, data volumes climb, the team expands, and the seams between public cloud and private infrastructure start showing.

AI coding agent sandboxes compared for 2026: OpenAI Codex, Cursor cloud agents, Claude Code, GitHub Copilot agent and Qovery. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

AI's environmental cost is real, and it's growing. Training a large language model can consume the electricity of hundreds of households for weeks. Inference at production scale runs continuously, with GPU clusters drawing power around the clock. The data centers that house all of this are some of the most concentrated energy consumers in the modern technology stack.