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  • Moldable Development: Guiding Technical Decisions without Reading Code

    Developers spend most of their time reading code. Moldable Development challenges reading as a means to gather information from the system, by creating custom tools that show the problem in a way that makes it comfortable to understand. The solution typically follows quickly afterward. Glamorous Toolkit is a moldable development environment designed to decrease the cost of custom tools.

  • InfoQ .NET Trends Report 2022

    Every year, all InfoQ editors invite seasoned developers and practitioners from the industry to discuss the current trends in the entire software development landscape. In this article, we discuss some of the .NET Trends for 2022, divided into four stages of adoption.

  • Virtual Threads: New Foundations for High-Scale Java Applications

    Virtual threads are a lightweight implementation of Java threads, delivered as a preview feature in Java 19.  They dramatically reduce the effort of writing, maintaining, and observing high-throughput concurrent applications. Virtual threads breathe new life into the familiar thread-per-request style of programming, allowing it to scale with near-optimal hardware utilization.

  • How to Migrate an Oracle Database to MySQL Using AWS Database Migration Service

    Data migration efforts are typically taken up for database consolidation, cost considerations, or migrating on-prem databases to a cloud platform. In this article, author Deepak Vohra discusses the details of migrating a local database to MySQL database on the cloud, using AWS Database Migration Service.

  • Choosing the Right Cloud Infrastructure for Your SaaS Start-up

    As a solutions architect, I have been designing SaaS applications for years and I have seen start-ups struggle to find the right cloud infrastructure and improve their product offering. These experiences prompted me to write this article as a tool to help companies make a pragmatic fact and data-driven decision.

  • Building Workflows with AWS Step Functions

    AWS Step Functions use a state machine to represent the workflow. A workflow consists of a set of tasks, each of which represents a discrete activity to be performed. Each task is defined by a state of the state machine. In this article, we will learn about the main concepts of AWS Step Functions and apply those to build a workflow for a sample business process: Order Fulfillment.

  • Java Champion James Ward on the State of Java and JVM Languages

    James Ward is a Java Champion and Google’s Kotlin product manager. In a podcast, Ward agreed that “people are still trapped in the Java world” and called default mutability in Java the “trillion-dollar mistake”. In this interview, he speaks about the state of Java, JVM languages, mutability, and functional programming.

  • How to Speed up Large Collections Processing in Java

    A review on Java performance for many objects using Java Collections or alternative collections, with the impact of serial vs. parallel streams. For some streaming data sets, parallel processing can be slower than the default.

  • Business Systems Integration is about to Get a Whole Lot Easier

    A new breed of integration software is arising that syncs business data into a simplified data hub and then syncs that data to the destination system.  The benefit of this integration pattern is that it reduces the number of manual transformations required (often to zero) and makes it easier to write manual transformations when you have to.

  • Cloud Native Network Functions Are Here

    Compute elasticity, for instance, is reasonably allocated with virtual machines, containers, and orchestrators and managed with CI/CD pipelines. Network elasticity seems to be lacking in implementation. In this article, we show that cloud native network functions are an attempt to bring network applications into the cloud native world.

  • Debezium and Quarkus: Change Data Capture Patterns to Avoid Dual-Writes Problems

    It’s common in microservices to write data in two places, a database and then send the content to another microservice. One approach to tackle this problem is dual writes, but you may lose data because of concurrent writes. Debezium is an open-source project for change data capture using the log scanner approach to avoid dual writes and communicate persisted data correctly between services.

  • Data Manipulation with Functional Programming and Queries in Ballerina

    Ballerina has been designed as a data-oriented programming language and supports a functional programming coding style. The Ballerina query language is similar to SQL in the sense that a query expression is made up of clauses. The Ballerina “Table” data structure can be more effective than maps in representing indexed data collections.

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