5 Challenges Cloud Developers Face

As the digitization of the economy occurs, companies face new technological challenges. The agility and flexibility provided by different IT infrastructure environments make it easy to deploy complex applications to meet market needs. However, these applications require and consume services that must work together and provide a consistent user experience, for which it is necessary to have specialized developers.

Unfortunately, the industry is facing a developer shortage. According to consulting firm IDC in the report Empowering Developers Through Cloud Services, companies need to free up their teams to focus on cutting-edge development to achieve business results rather than back-end engineering.

In recent years, several barriers have been overcome so that developers can use their full potential to favour those business results. First, the infrastructure was abstracted through Platforms as a Service (PaaS). And now, the time has come for data and application services to be abstracted in such a way that they have consistency, helping to enable high-performance applications to run securely and reliably.

The biggest challenge that developers face is the inconsistency of complex technological ecosystems, so their abstraction is needed to reduce friction and allow high availability of applications in production.

IDC has also identified five challenges that developers face, as well as how to address them with cloud services:

• Back-end engineering takes resources away from other development activities and DevOps. Cloud service management makes it easy to access cutting-edge technology without maintaining local management and administration. Using managed services allows your talent to focus on driving business outcomes and not having to be infrastructure management experts.
• The complete architecture for delivering data analytics-enabled, event-driven, cloud-native solutions includes other technologies like Apache Camel, Debezium, Apicurio, Quarkus and ML notebooks and ML libraries like JupyterLab. Cloud services allow for faster integration of different services with the Kafka service, API management, and ML models across multiple clouds.
• Development teams need consistency with other services so that you can still have consistent monitoring, metrics, and alerts when a new service is added. Cloud services enable workloads to connect to the various projects being worked on through hybrid cloud environments. Service bindings allow you to create a consistent experience across public and private clouds.
• Businesses have always operated in real-time, but technology forced the batch paradigm. Technology like Kafka allows organizations to break out of this batch paradigm, but it takes work in service management. Cloud services enable real-time data flow by leveraging a managed cloud service for Apache Kafka, enabling scalability, resiliency, and fault tolerance.
• Modern applications need to work in the hybrid cloud, with a mix of infrastructure such as on-premises, private cloud, public cloud, and edge, because development and IT operations teams need consistent deployment environments that support the applications. Modern.

Removing friction means abstracting the application services and data used to build applications. Data is getting faster because organizations need to respond to changes and make real-time decisions. By using cloud service management for real-time data event processing and distribution, organizations can move away from dealing with the risks inherent in managing the underlying infrastructure and instead move to the value proposition—a higher level to accelerate the transformation.

Also Read: 8 Advantages Of Having A Cloud Computing Service