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Let’s say foo.com is also available on mobile devices, which need images rendered in smaller mobile formats. You can decouple functionality like this from the web server and make it a function-as-a-service with Cloud Functions. This approach enables you to apply your image resizing logic to other applications as well. You can trigger the serverless…

Cloud Debugger allows you to inspect the state of running applications after deployment, without needing to stop or slow it down.

Cloud Trace provides visualization and analysis to understand request flow, service topology, and latency issues in your app.

Cloud Profiler continually analyzes your code’s performance on each service so that you can improve its speed and reduce your costs. And it is designed to run in production with effectively no performance impact.

Cloud Monitoring provides observability across your apps and infrastructure, regardless of where it is — Google Cloud, on-premises, or in other clouds. It supports a variety of metrics integrations and allows you to define custom metrics unique to your use cases and even send those metrics to external systems.

Cloud Logging collects log data from Google Cloud services automatically, and any custom log source, such as applications, on-premises sources, or other clouds, through the Ops Agent, open source fluentd, or an API.

Anthos is a managed application platform that extends Google Cloud services and engineering practices to your environments so that you can modernize apps faster and establish operational consistency across them.

Managed workflow orchestration service based on Apache Airflow that lets you author, schedule, and monitor data pipelines

Once the data is processed and stored in a data lake or data warehouse, it is ready to be analyzed. If you are using BigQuery to store the data, then you can directly analyze that data in BigQuery using SQL. If you use Cloud Storage to store, then you can easily move the data into…

BigQuery is a serverless data warehouse that scales seamlessly to petabytes of data without having to manage or maintain any server. You can store and query data in BigQuery using SQL. Then you can easily share the data and queries with others on your team. It also houses hundreds of free public datasets that you…