Operations | Monitoring | ITSM | DevOps | Cloud

Moving to the cloud is one of the most consequential decisions an IT organization makes. A successful cloud migration strategy sets the foundation for how your business scales, innovates, and competes. But too often, cloud migration initiatives stall, underperform, or force organizations to repatriate applications back on-premises because the groundwork wasn’t laid correctly.

In Explorer, you build a filter set and group-by to answer a cost question, and often that’s exactly the configuration you’d want to save for later. But saving it as a View meant navigating away from Explorer, opening the Views page, and rebuilding the same configuration from scratch: filter by filter, dimension by dimension. That friction was enough to discourage saving exploratory analysis as a View at all You can now save any Explorer analysis as a View in place.

AI pricing covers the cost structures and billing models providers use to charge for AI products: per-token APIs (GPT-4o at $2.50/1M input tokens), per-seat subscriptions (Copilot at $30/user/month), per-conversation billing (Agentforce at $2/conversation), and consumption-based GPU compute (H100 instances at $55.04/hour). There is no standard. The total AI cost is almost always higher than the sticker price.

If you've read our previous piece on the 8 stages of AI engineering maturity, you know where your team sits. Turns out adopting AI is the easy part; adapting to its consequences is where most organizations struggle. For more than a decade, software organizations optimized around a single assumption: implementation capacity was scarce.

Alibaba Cloud monitoring isn't AWS or Azure monitoring with a different logo. The way its services scale, absorb load, and send early warning signals follows its own logic and if you're watching the wrong things, you'll find out too late. Cloud monitoring conversations often follow patterns set by AWS and Azure. The metrics are familiar, dashboards look the same, and operational playbooks are built around expected infrastructure behavior.

Cost monitoring, exploration, investigation, and reporting used to live in separate places, so following a single cost question meant hopping between tools.

Dynamic Host Configuration Protocol (DHCP) activity changes faster than most IP inventory systems can keep up. Devices reconnect. Leases expire. Infrastructure changes constantly across servers, endpoints, and cloud environments. If your IP inventory cannot reflect those changes automatically, teams quickly lose confidence in the data they rely on to operate the network.