Based on our record, Google Cloud Functions should be more popular than Jenkins. It has been mentiond 47 times since March 2021. 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.
Jenkins is an open-source automation server used for software continuous integration and delivery. It automates various tasks, such as building, testing, and deploying applications. It is easily extendable due to its vast ecosystem of plugins, making it easy to integrate into version control systems like Git, build tools like Maven/Gradle, and deployment platforms like AWS and Docker. - Source: dev.to / 2 months ago
It will give you a possibility to find and solve problems faster, release more stable and higher quality products. Here we will use CircleCI, but you can use whatever you need (Jenkins, Travis CI, GitLab CI). - Source: dev.to / 12 months ago
CloudBees Jenkins Platform is a commercial offering from CloudBees, it is not the Jenkins project itself (which is open source). Jenkins is alive and well. See https://jenkins.io. Source: almost 2 years ago
Ok. I'm talking about this: https://jenkins.io/. Source: over 2 years ago
Currently supported : Datadog, Jenkins, DNS, HTTP. Source: over 2 years ago
Google Cloud Functions bases pricing on Invocations, runtime, and memory with competitive free tier options. - Source: dev.to / 22 days ago
Google Cloud Functions Google Cloud Functions is a scalable serverless execution environment for building and connecting cloud services. It provides triggers automatically, with out-of-the-box support for HTTP and event-driven triggers from GCP services. There are two types of Google Cloud Functions: API cloud functions and event-driven cloud functions. The API cloud functions are invoked from standard HTTP... - Source: dev.to / about 1 month ago
Ensure that the processing and throughput requirements of your AML/KYC solutions can handle appropriately sized volumes of data and transactions for your organization’s needs efficiently. A microservices architecture using tools like Docker or Kubernetes for proprietary systems can help to ensure scalability, allowing you to scale individual components as needed. Exploit load balancing and caching mechanisms to... - Source: dev.to / 10 months ago
Data-Driven Projects: Seamless integration with Google's data and AI/ML services (like Cloud Functions and Cloud SQL) streamlines development workflows for data-driven applications. - Source: dev.to / 10 months ago
The first reason is that serverless architectures are inherently scalable and elastic. They automatically scale up or down based on the incoming workload without requiring manual intervention through serverless compute services like AWS Lambda, Azure Functions, or Google Cloud Functions. - Source: dev.to / 12 months ago
CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
Codeship - Codeship is a fast and secure hosted Continuous Delivery platform that scales with your needs.
Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.
Travis CI - Simple, flexible, trustworthy CI/CD tools. Join hundreds of thousands who define tests and deployments in minutes, then scale up simply with parallel or multi-environment builds using Travis CI’s precision syntax—all with the developer in mind.
AWS Lambda - Automatic, event-driven compute service