Apollo is a reliable configuration management system suitable for microservice configuration management scenarios.
- configuration-management
- spring-boot
- config-management
- microservices
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Apollo is a reliable configuration management system suitable for microservice configuration management scenarios.
Light, fluffy, and always free - The AWS Local Emulator alternative
Jenkins automation server
TranslatedA powerful flow control component enabling reliability, resilience and monitoring for microservices. (A high-availability flow control and protection component for cloud-native microservices)
All-in-one IoT Platform - Device management, data collection, processing and visualization.
The Unified and Autonomous Development Platform
🏗 Build container images for your Java applications.
AWS Service registry for resilient mid-tier load balancing and failover.
Spinnaker is an open source, multi-cloud continuous delivery platform for releasing software changes with high velocity and confidence.
Java client for Kubernetes & OpenShift
Apache Linkis builds a computation middleware layer to facilitate connection, governance and orchestration between the upper applications and the underlying data engines.
Automated driver management and other helper features for Selenium WebDriver in Java
Maven plugin for running and creating Docker images
Distributed Big Data Orchestration Service
StackGres Operator, Full Stack PostgreSQL on Kubernetes // !! Mirror repository of https://gitlab.com/ongresinc/stackgres, only accept Merge Requests there.
MinIO Client SDK for Java
Framework for building Event-Driven Microservices
Open source IaC Automation and Collaboration Software.
Get rid of the boilerplate code in properties based configuration.
Client library for Amazon Kinesis
TranslatedUniversal, flexible, high-performance distributed ID generator.
Official mirror for interface definitions and helper classes for Java code running on the AWS Lambda platform.
Jenkins cloud plugin that uses Docker
The Kinesis Scaling Utility is designed to give you the ability to scale Amazon Kinesis Streams in the same way that you scale EC2 Auto Scaling groups – up or down by a count or as a percentage of the total fleet. You can also simply scale to an exact number of Shards. There is no requirement for you to manage the allocation of the keyspace to Shards when using this API, as it is done automatically.