Using BigQuery Graphs with measures for trusted agentic workloads
Discover how BigQuery Graph with measures grounds autonomous AI agents in unified enterprise truth, enabling precise reasoning across complex data relationships.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Separate Application Latency From Network Failure With Hubble
The request timed out after five seconds. The application said context deadline exceeded. The dependency was healthy, its dashboards were green, and its own latency histogram showed nothing above 30 milliseconds.
Synthetic Monitoring Is Broken. Your Production Traffic Can Fix It.
Synthetic monitoring has been a critical part of application reliability for years. It gives engineering and operations teams a way to proactively test applications, APIs, and critical customer journeys before users encounter problems. But there is a fundamental limitation with the traditional approach: Someone has to create the tests. As applications become more distributed and customer journeys become more complex, organizations can end up maintaining hundreds or even thousands of synthetic scripts.
Snow Report: What's Happening At Snowflake in August
The August Snow Report is LIVE Two GA launches for CoCo, warehouse tuning that handles itself, and World Tour in 23 cities. What's new CoCo Desktop is GA A native IDE inside your governed Snowflake environment, so it knows your data models and access policies from day one. Up to 2X faster on complex tasks with 51% fewer tokens than third-party assistants. Cloud Agents are GA Run agentic workflows from your browser in Snowsight. Start with a prompt, close your session, and the agent keeps working on Snowflake's managed infrastructure.
5 Reasons dbt Wizard transforms your partner practice
dbt Wizard brings conversational AI to analytics and context engineering, grounded in your dbt project’s lineage, compiled state, tests, and semantics.
Guide to Load Testing Microservices Architectures in Cloud Environments (2026 Edition)
Misconceptions about microservices load testing are common, especially for teams moving from monolithic systems. It’s tempting to believe that simply scaling infrastructure or running legacy load tests will reveal the same issues and provide actionable results. However, distributed, cloud-native architectures introduce new complexities and risks that demand a different approach.
Reduce API governance fragmentation with SmartBear Swagger, now fluent in multiple protocols
Design, document, and verify APIs across OpenAPI, AsyncAPI, GraphQL, and MCP. gRPC and A2A support coming soon.
The Times They Are A-Changin' - Just Not on SAP's Terms
Bob Dylan wrote those words in 1964 about a world in flux - where the old rules were being quietly rewritten, and the people who hadn't noticed yet were about to find out the hard way. He wasn't thinking about enterprise data architecture. But if you've been following SAP's moves on data access, extraction, and platform strategy over the past two years, those words might be landing a little closer to home than usual.
The Architecture Decision Your Multi-Agent System Will Live With
Most teams building multi-agent systems hit the same wall at roughly the same point. The prototype works. Agents chain together, tasks complete, the demo impresses the room. Then someone asks: "What happens when this runs a thousand times a day? What happens when an agent calls an external API that's down? How do we know what the agents actually did?" That's when the architecture conversation starts. Here's the framing that clarifies most of these questions.