Operations | Monitoring | ITSM | DevOps | Cloud

If you’re already running or are familiar with Home Assistant, you’ve likely worked with integrations, maybe a few automations, and possibly MQTT as a way to wire devices together. But webhooks add another layer of flexibility that lets you level up your smart home into a fully-customized, intelligent network. Instead of relying on built-in integrations and being confined to the same local network, you can let external devices and services push events directly into Home Assistant.

April saw widespread disruptions across SaaS platforms, developer tools, and cloud services, with login failures, pipeline issues, and general service outages among the most common problems. StatusGator’s Early Warning Signals consistently identified these incidents ahead of official provider updates. In several cases, the lead time was significant. Bitbucket pipeline failures were detected 1 hour 17 minutes before acknowledgment, while Claude performance issues surfaced 59 minutes early.

‍Summary: Google Cloud Next ’26 focused on the future of software delivery, emphasizing that AI, platform consolidation, and an urgent push toward efficiency are reshaping the Software Development Life Cycle (SDLC). The key takeaway from the event was that organizations are moving from AI experimentation to operationalization, actively consolidating fragmented tools onto end-to-end platforms that embed AI for control, intelligence, and speed. ‍

It’s becoming increasingly clear that AI-generated code can create real challenges once it reaches production. At Harness, we’ve been focused on innovating fast and solving those problems, so teams can move quickly without sacrificing reliability. In the past 30 days, we delivered 70+ new features.

Security and platform engineering teams rely on context-rich logs to investigate threats, prioritize incidents, and meet compliance requirements. Context is often stored separately from applications that generate logs, in sources like threat intelligence feeds in Snowflake, asset lists in Amazon S3, ownership data in ServiceNow CMDB, and risk scores produced in Databricks.

A procurement officer at a mid-sized financial services firm spent six months last year negotiating with a cloud provider that turned out not to hold the certification it had implied in its sales deck. The contract collapsed during legal review. The firm lost the time, the provider lost the deal, and somewhere in the middle, a senior engineer learned the difference between "compliant with the principles of" and "audited to the standard of.".

Recurring incidents are a symptom of a broken process. Your teams are working hard to get services back online, but constantly battling the same problems is frustrating and not a sustainable approach. What’s reflected here is not a failure in engineering abilities, but a deficiency in the learning that should follow an incident. When incident analysis focuses on finding a single person or team to blame, it creates a culture of fear.

Criteo handles 23 million requests per second (RPS) while maintaining peak performance and minimizing downtime. For most organizations, handling that level of traffic is just a theoretical stress test — a what-if scenario should their infrastructure ever be overwhelmed by an unexpected wave of requests. But for Criteo, 23 million RPS is just another Tuesday.