The trend has been clear for years and still pertains: innovative app-driven customer experiences are disrupting any market that software touches. As development teams are now central to driving business, microservices architectures and DevOps practices are fundamental in continuously innovating what apps enables customers to do.
The cloud native development model is an engine for innovating customer experience, providing the way to continuously integrate improvements. This model includes three essential components: A microservices application architecture, in which business function is divided among independent but interoperable code modules; DevOps methods, practices, and tools for teams to continuously collaborate on and deliver improved experiences to end users; and a container-based cloud platform in which to do this work.
But cloud platforms themselves continue to rapidly evolve. For example, depending on business purposes, container orchestration systems and serverless technologies are both viable options for creating and publishing customer-facing apps.
Additionally, many teams bear the pressure to innovate while also transitioning to the cloud native paradigm from IT systems they’ve been building and maintaining for the past decade–using mainframes and application servers, for example. In this situation, App Dev leaders must figure out what existing apps to keep on premises but extend through API-driven cloud services, what apps to modernize by moving an existing monolith onto a cloud platform and creating the right new microservices to extend its value for customers. Modernizing apps is innovating
Streamlining cloud-based app development is especially valuable in modernizing applications. An app development service that focuses developers new to cloud native provides obvious benefits related to kick-starting innovation.
With that in mind, the IBM Cloud App Service provides starter kits—choice of coding languages, app frameworks/patterns, and DevOps toolchains that automate the necessary stages from initial coding to production pushes after successful testing.
Within minutes, developers setup an environment based on their preferred languages, the application framework that fits their objective, a code repository that can be easily cloned to enable more efficient coding locally, provisioned Cloud Foundry or Kubernetes runtime environments, and stages in an automated DevOps pipeline.
Developers can continuously commit code to a cloned local repository mutliple times a day. When ready, they push code to a mirror repository on cloud platform, automatically kicking off app build and deployment to either a relevant Cloud Foundry runtime or Kubernetes cluster for testing. Whether developers use command line from within IBM Cloud or from within a local IDE, the App Services provides the same experience.
As a result, by modernizing valuable existing apps, and making a bigger transition into cloud native, teams gain the ability to sustain focus on innovating.
Take the Cloud Native Developer Challenge
I’ll end with what you can do in 5 minutes: take some code you esteem and already works, and deploy it to IBM Cloud with these steps. You’ll get a working microservices app within a DevOps framework that puts the existing app on a fast track for the next functional innovation that end users will care about.
When building applications, one has to factor failures into the design. An application may fail because of a bug in the code. The underlying infrastructure running the application can fail, whether it is a bare metal server or a virtual machine. The network connectivity can fail intermittently. A datacenter may lose power and the backup generator may not start either. That's already a lot of risks to cover and to protect from.
A large telecommunications service provider in Europe wants to serve customers in Brazil from their Frankfurt, Germany location. One challenge with such large geographical distances is achieving consistently low latency in order to provide a good user experience. Another challenge is scaling the infrastructure to handle a large number of user requests during peak traffic conditions.