In this article, we’ll look at one of the ways to monitor the InterSystems IRIS data platform (IRIS) deployed in the Google Kubernetes Engine (GKE). The GKE integrates easily with Cloud Monitoring, simplifying our task. As a bonus, the article shows how to display metrics from Cloud Monitoring in Grafana. - Source: dev.to / 25 days ago

Cloud Run emits some metrics by default, like CPU usage, memory usage, number of instances. You can build dashboards based on those metrics in Cloud Monitoring. Source: about 1 year ago

Monitoring and Logging: Utilize tools like Cloud Monitoring and Cloud Logging to keep a close eye on the performance and progress of your scheduled tasks. - Source: dev.to / about 1 year ago

Whether it is AWS, Azure, GCP or any other cloud platform, all of them come with out of the box monitoring and logging tools. Source: over 1 year ago

Cloud Monitoring: Infrastructure and application monitoring 🔗Link 🔗Link. - Source: dev.to / almost 2 years ago

Moreover, integrating rate limiting can thwart DDoS attacks, and schema validation can prevent malformed requests, ensuring only legitimate and well-formed traffic reaches your serverless functions. Tools like Amazon API Gateway, Azure API Management, and Google Cloud Endpoints offer these capabilities, allowing you to set up custom authorization workflows and request validation rules that align with your security... - Source: dev.to / 2 months ago

AFAIK, API Gateway is just managed Cloud Endpoints, which are just ESPv2 containers. Cloud Endpoints are still a thing but I would agree that they are a bit dead, as they don't support OpenAPI v3, which was released in 2016. See this support ticket from 2018: https://issuetracker.google.com/issues/78271318?pli=1. Source: almost 2 years ago

For reference: https://cloud.google.com/endpoints. Source: about 3 years ago

Use Cloud Endpoints in front of your service, which gives more options for authentication, including JWT. Here's an intro (the English is poor, but advice is sound.). Source: about 3 years ago