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New Ways for CNAPP to Shift Left and Shield Right: The Technology Trends That Will Allow CNAPP to Address More Extensive Threat Models

Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, Cloud Native: Championing Cloud Development Across the SDLC.

The cloud-native application protection platform (CNAPP) model is designed to secure applications that leverage cloud-native technologies. However, applications not in the scope are typically legacy systems that were not designed to operate within modern cloud infrastructures. Therefore, in practice, CNAPP covers the security of containerized applications, serverless functions, and microservices architectures, possibly running across different cloud environments.

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The Impact of AI and Platform Engineering on Cloud Native’s Evolution: Automate Your Cloud Journey to Light Speed

Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, Cloud Native: Championing Cloud Development Across the SDLC.

2024 and the dawn of cloud-native AI technologies marked a significant jump in computational capabilities. We're experiencing a new era where artificial intelligence (AI) and platform engineering converge to transform cloud computing landscapes. AI is now merging with cloud computing, and we're experiencing an age where AI transcends traditional boundaries, offering scalable, efficient, and powerful solutions that learn and improve over time. Platform engineering is providing the backbone for these AI systems to operate within cloud environments seamlessly. 

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Observations on Cloud-Native Observability: A Journey From the Foundations of Observability to Surviving Its Challenges at Scale

Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, Cloud Native: Championing Cloud Development Across the SDLC.

Cloud native and observability are an integral part of developer lives. Understanding their responsibilities within observability at scale helps developers tackle the challenges they are facing on a daily basis. There is more to observability than just collecting and storing data, and developers are essential to surviving these challenges.

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IDE Changing as Fast as Cloud Native

Much has been said about how much containerization has changed how we deliver and operate the software. But at the same time, the tools such as IDEs have changed just as much. We’ve gone from heavyweight, thick client tools running on our desktops with all the possible features we might need to be incorporated into the IDE to a very lightweight core. Everything is a plug-in, and increasingly the browser is the delivery platform for it. 

We have also seen a trend of IDEs becoming free, if not open source, and you may be surprised to read that Oracle has been at the forefront of this in the Java space. You have to look at the contributions to Netbeans as an Apache project. JDeveloper has been free, and Oracle has made plugins freely available for Eclipse for a very long time. This tradition continues with the code for the latest VS Code plugins being freely available (Oracle Samples — GitHub repository).

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Introduction to Cloud Native

Introduction

Cloud computing has revolutionized the way businesses operate, allowing them to access computing resources on-demand and at scale. The cloud has become the go-to platform for running applications and services, with companies leveraging its flexibility, scalability, and cost-effectiveness to stay ahead in today's digital economy. However, with the rise of cloud computing, a new approach to building and running applications has emerged: cloud native.

Cloud native is an approach to software development that aims to take full advantage of the benefits of cloud computing. It is a set of principles and practices that guide the design, development, deployment, and management of applications in the cloud. In this article, we will explore the concept of cloud native in more detail, looking at its history, key principles, benefits, and challenges.

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Lessons Learned Moving From On-Prem to Cloud Native

Recently, I came across a sample e-commerce application that demonstrates how to use Next.js, GraphQL engine, Postgres, and a few other frameworks to build a modern web application. The application supports basic e-commerce capabilities such as product inventory and order management, recommendation system, and checkout function. This made me curious as to how much effort it would take to turn this application from an on-prem to a cloud-native solution.

The original architecture for this sample app looked like the below diagram. You can start the whole setup in a few minutes following this guide.

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RSocket in Cloud Native

In the mission of the cloud-native computing foundation, It states “the techniques enable loosely coupled systems that are resilient, manageable, and observable.” Those three characterizes are the core of the cloud-native computing foundation. Other technologies play a support role.

1. Reactive Programming 

1.1 Imperative Programming vs. Reactive Programming

With an imperative approach, a developer writes code that describes in exacting detail the steps that the computer must take to accomplish the goal. Those steps are executed in the order as the developer lays out without considering other systems the code interacts with.

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How to Make Microservices Communicate

I’m sure you want to build scalable apps, right? Who doesn’t? If so, you must have come across the words “Cloud Native.” This approach is like an angel which can resolve most of your scaling challenges. So, what exactly is cloud native?

Cloud native is an approach used to build apps which can harness all the capabilities of the cloud.

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Deploy Quarkus Faster in the Cloud with Platform.sh. Part 4: Hibernate Search With Elasticsearch

Quarkus is, in its own words, a Cloud Native, (Linux) Container First framework for writing Java applications. It has become popular because of the amazingly fast boot time, incredibly low RSS memory. In this series of articles about Quarkus, we'll teach you how to deploy Quarkus with Hibernate search with Elasticsearch.

Full-text searching provides the capability to identify natural-language documents that satisfy a query, and optionally to sort them by relevance to the query.  Hibernate Search automatically extracts data from Hibernate ORM entities to push it to local Apache Lucene indexes or remote Elasticsearch indexes.

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Deploy Quarkus Faster in the Cloud With Platform.sh Part 3: PostgreSQL With Panache

Quarkus is, in its own words, a Cloud Native, (Linux) Container First framework for writing Java applications. It has become popular because of the amazingly fast boot time and incredibly low RSS memory. In this series of articles about Quarkus, we'll teach how to deploy Quarkus with Panache.

Hibernate ORM is the de facto JPA implementation and offers you the full breadth of an Object Relational Mapper. It makes complex mappings possible, but it does not make simple and common mappings trivial. Hibernate ORM with Panache focuses on making your entities trivial and fun to write in Quarkus.