In this video, you’ll learn how to setup Spring Cloud config client from scratch and have it connect to the Spring Cloud Config Server. You’ll also learn how to specify microservice-specific configuration using the right file names in the Git repo source
A multi-cloud approach is nothing but leveraging two or more cloud platforms for meeting the various business requirements of an enterprise. The multi-cloud IT environment incorporates different clouds from multiple vendors and negates the dependence on a single public cloud service provider. Thus enterprises can choose specific services from multiple public clouds and reap the benefits of each.
Given its affordability and agility, most enterprises opt for a multi-cloud approach in cloud computing now. A 2018 survey on the public cloud services market points out that 81% of the respondents use services from two or more providers. Subsequently, the cloud computing services market has reported incredible growth in recent times. The worldwide public cloud services market is all set to reach $500 billion in the next four years, according to IDC.
By choosing multi-cloud solutions strategically, enterprises can optimize the benefits of cloud computing and aim for some key competitive advantages. They can avoid the lengthy and cumbersome processes involved in buying, installing and testing high-priced systems. The IaaS and PaaS solutions have become a windfall for the enterprise’s budget as it does not incur huge up-front capital expenditure.
However, cost optimization is still a challenge while facilitating a multi-cloud environment and a large number of enterprises end up overpaying with or without realizing it. The below-mentioned tips would help you ensure the money is spent wisely on cloud computing services.
Most organizations tend to get wrong with simple things which turn out to be the root cause for needless spending and resource wastage. The first step to cost optimization in your cloud strategy is to identify underutilized resources that you have been paying for.
Enterprises often continue to pay for resources that have been purchased earlier but are no longer useful. Identifying such unused and unattached resources and deactivating it on a regular basis brings you one step closer to cost optimization. If needed, you can deploy automated cloud management tools that are largely helpful in providing the analytics needed to optimize the cloud spending and cut costs on an ongoing basis.
Another key cost optimization strategy is to identify the idle computing instances and consolidate them into fewer instances. An idle computing instance may require a CPU utilization level of 1-5%, but you may be billed by the service provider for 100% for the same instance.
Every enterprise will have such non-production instances that constitute unnecessary storage space and lead to overpaying. Re-evaluating your resource allocations regularly and removing unnecessary storage may help you save money significantly. Resource allocation is not only a matter of CPU and memory but also it is linked to the storage, network, and various other factors.
The key to efficient cost reduction in cloud computing technology lies in proactive monitoring. A comprehensive view of the cloud usage helps enterprises to monitor and minimize unnecessary spending. You can make use of various mechanisms for monitoring computing demand.
For instance, you can use a heatmap to understand the highs and lows in computing visually. This heat map indicates the start and stop times which in turn lead to reduced costs. You can also deploy automated tools that help organizations to schedule instances to start and stop. By following a heatmap, you can understand whether it is safe to shut down servers on holidays or weekends.
#cloud computing services #all #hybrid cloud #cloud #multi-cloud strategy #cloud spend #multi-cloud spending #multi cloud adoption #why multi cloud #multi cloud trends #multi cloud companies #multi cloud research #multi cloud market
The article demonstrates how to write a contract between the producer & the consumer and how to implements the producer & the consumer side test cases for Spring Cloud Contract through an HTTP request between two microservices.
The producer is a service that exposes an API (e.g. rest endpoint) or sends a message (e.g. Kafka Producer which publishes the message to Kafka Topic)
The consumer is a service that consumes the API that is exposed by the producer or listens to a message from the producer (e.g. Kafka Consumer which consumes the message from Kafka Topic)
The contract is an agreement between the producer and consumer how the API/message will look like.
Consumer-driven contract (CDD) is an approach where the consumer drives the changes in the API of the producer.
Consumer-driven contract testing is an approach to formalize above mentioned expectations into a contract between each consumer-provider pair. Once the contract is established between Provider and Consumer, this ensures that the contract will not break suddenly.
Spring Cloud Contract is a project of spring-cloud that helps end-users in successfully implementing the Consumer Driven Contracts (CDC) approach. The Spring Cloud Contract Verifier is used as a tool that enables the development of Consumer Driven Contracts. Spring Cloud Contract Verifier is used with Contract Definition Language (DSL) written in Groovy or YAML.
To understand the concept of the Spring Cloud Contract, I have implemented two simple microservices. The code for these applications can be found on Github account.
Request and response between the consumer and the producer
It is the first microservice responsible for creating an employee’s profile based on the given details. We are only passing the FirstName, LastName, and Identification Number (e.g. National ID) of the employee. This microservice is calling another microservice to first check, based on the Identity Number, whether the profile has already been created for the employee.
This is the second microservice service that is just checking if an employee profile already exists. If the employee profile is matching with the Identification Number provided in the database, it will return the profile else return an empty profile with the EMPLOYEE_NOT_FOUND status.
The create-employee-application microservice is having a dependency on get-employee-application microservice, so we have written a contract of get-employee-application. We are not using any database here to store or retrieve employee details so that written simple logic which will help us to fetch the existing employee profile.
We are going to understand how we have done the setup for these applications. We are going to discuss the setup in each microservice one by one.
#tutorial #microservices #spring boot #spring cloud #spring boot microservices #spring cloud contract #microservices testing
This post is a continuation of another post of mine, “How to Setup the Spring Cloud Config Server With Git,” i.e., setting up of Spring cloud config server with a git repository. In my earlier post, successful communication was established between a cloud config server and a git repository. In this post, the focus will be on the development of a cloud config client and its interaction with a cloud config server.
#microservices #spring boot #spring config #spring config client
Unlike a traditional monolithic application in which everything runs within a single instance, a microservice-based application consists of multiple instances of services running across multiple servers. Managing configuration settings for each of these service instances can be challenging as maintaining multiple copies of configuration settings across different servers, locations, and environments is error-prone and difficult to manage. This is especially true for the increasing number of services in microservices architecture and services deployed in the cloud with an auto-scaling feature where servers come and go in the cloud. As a result, need has grown for a better mechanism to manage configuration settings in microservice-based applications. This is where a centralized configuration server steps in to take these configuration settings into a centralized location that is externalized from the distributed services.
In this article, we will learn how to build a centralized configuration server using a Spring Cloud config server that uses Git repository as configuration storage. Will we also look at how to consume the remote configuration settings from a service build using Spring Boot.
A Spring Cloud config server is one of the more popular centralized configuration servers used in a microservice-based application. This is especially true with the increasing trend of Java developers building their application using Spring Boot; providing little to no effort of work to integrate their application to Spring Cloud config server. It uses a typical client and server approach for storing and serving configuration settings across these distributed services.
Before getting ready to write some code, we need to create two Spring Boot projects: the server and the client project. We will be using Apache Maven in this article. You can use the Spring Initializr website to generate these projects with Spring Boot 2.x dependency. Alternatively you can download the sample server and client project from GitHub.
#spring-boot #centralized-configuration #programming #microservices #spring-cloud-config
Companies are slowly adopting microservice over monolithic architecture to scale applications. Compared to monolithic, microservice architecture breaks applications into small, manageable services, i.e., microservices. That means one monolithic application can be converted to many microservices, and these services are developed and deployed independently. These services collaborate with each other to fulfill business objectives. Each microservice manages their own application-specific properties file, i.e., application.properties. In most situations, multiple microservices and their multiple instances run together to fulfill the business needs. Any update in the properties file may require the redeployment and restart of services. Consider a situation where property updates need to be done on hundreds of services and their instance. This may require a considerable amount of downtime.
To solve this problem, Spring Boot has provided a Spring configuration server. This will manage all service’s properties files from a single point at runtime.
This tutorial is helpful to develop a complete working example for a good understanding of concepts like:
1. Repository (Store configuration).
2. Cloud config server (Read configuration from repository).
3. Cloud config client (Read configuration via Cloud Config Server).
4. Update configuration and trigger refresh event.
This tutorial will cover points 1 and 2. Another tutorial will follow to cover points 3 and 4. Let’s follow the tutorials with the basic assumption that Java8, Maven, and Eclipse are installed.
#spring boot #microservice #spring cloud config #spring cloud config server