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Google Cloud Run might be a bit more popular than Amazon SQS. We know about 83 links to it since March 2021 and only 65 links to Amazon SQS. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In 2019, Google announced Cloud Run. This was, in essence, a managed Knative. Now, Cloud Run doesn't run on Kubernetes, but it is Knative Serving API compliant. This means that you could take a standard Knative YAML manifest and use it to deploy your containers to Cloud Run with no issue. - Source: dev.to / about 1 month ago
Examples for products in this category are: Google Cloud Run, AWS App Runner, Azure Container Apps. Each has different scalability, cost, and integration trade-offs. - Source: dev.to / 4 months ago
Cloud Run is a managed platform that enables you to run container based workloads on top of Google infrastructure. Cloud Run automates many of the above steps and allows you to focus on developing and deploying updates to your application. - Source: dev.to / 6 months ago
Serverless computing was also introduced, where the developers focus on their code instead of server configuration.Google offers serverless technologies that include Cloud Functions and Cloud Run.Cloud Functions manages event-driven code and offers a pay-as-you-go service, while Cloud Run allows clients to deploy their containerized microservice applications in a managed environment. - Source: dev.to / 11 months ago
The quickest way is to deploy to Cloud Run. The service will use Dockerfile to build the production image. You can even omit the GOOGLE_APPLICATION_CREDENTIALS env var as these are in GCP’s projects by default. - Source: dev.to / 11 months ago
Event Routers: Services like Amazon SQS (A managed message queuing), Amazon SNS (A pub/sub messaging), AWS Step Functions (An orchestrate serverless workflows) and Amazon EventBridge (A serverless event bus) act as event routers, establishing the paths and flow for messages within the architecture. They enable seamless handling and distribution of events, ensuring that each message reaches its intended destination... - Source: dev.to / about 2 months ago
SQS - 1 million messaging queue requests. - Source: dev.to / 4 months ago
The last stage is productionizing the model. The goal of this phase is to create a system to process each image/video, gather the relevant features and inputs to the models, integrate the models into a hosting service, and relay the corresponding model predictions to downstream consumers like the MCF system. We used an existing Safety service, Content Classification Service, to implement the aforementioned system... Source: 7 months ago
For context; the web application is built with React and TypeScript which makes calls to an AppSync API that makes use of the Lambda and DynamoDB datasources. We use Step Functions to orchestrate the flow of events for complex processing like purchasing and renewing policies, and we use S3 and SQS to process document workloads. - Source: dev.to / 8 months ago
Amazon SQS is a fully managed message queue service that provides a reliable and scalable solution for asynchronous messaging between distributed components and microservices. - Source: dev.to / 10 months ago
AWS Lambda - Automatic, event-driven compute service
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Spot.io - Build web, mobile and IoT applications using AWS Lambda and API Gateway, Azure Functions, Google Cloud Functions, and more.
RabbitMQ - RabbitMQ is an open source message broker software.
Fission.io - Fission.io is a serverless framework for Kubernetes that supports many concepts such as event triggers, parallel execution, and statelessness.
Amazon SNS - Fully managed pub/sub messaging for microservices, distributed systems, and serverless applications