Kotlin for Java developers: Classes and coroutines
fun StarWarsMovie.releaseYear(): Int { val year = release_date.substring(0, 4) return year.toInt() } val newHope = StarWarsMovie(“A New Hope”, 4, “1977-05-25”) val releaseYear = newHope.releaseYear() println(“The release year of A New Hope is $releaseYear”) In the above example, we’ve defined a new method on the class, called releaseYear(). Note that we defined it directly on the […]
Read MoreKotlin for Java developers
Add the following dependency to the dependencies section of /app/build.gradle.kts: implementation(“com.google.code.gson:gson:2.9.1”) This lets us handle the JSON we’ll get back from the API. Now, if we run the app we’ll see some information about Chewbacca: $ ./gradlew run > Task :app:run Name: Chewbacca Height: 228 Hair color: null Eye color: null BUILD SUCCESSFUL in 2s […]
Read MoreJetBrains IDEs ease debugging for Kubernetes apps
JetBrains IDEs, with new 2024.3 edition releases, now provide a logical code structure view alongside the familiar physical code structure view in the Structure tool window. The updated IDEs also streamline debugging for Kubernetes applications and provide cluster-wide Kubernetes log access with streaming and pattern matching. JetBrains announced the 2024.3 releases on November 12. The […]
Read MoreStrategies to navigate the pitfalls of cloud costs
Here’s a simple solution, although most enterprises don’t understand it: Set clear guidelines and thresholds for scaling operations. This avoids the financial impact of unchecked scaling by continuously reviewing and adjusting policies to align with evolving business needs and budget capabilities. The parameters need to be paired with sound cost governance systems. However, the cloud […]
Read MoreRed Hat OpenShift AI unveils model registry, data drift detection
Red Hat has updated Red Hat OpenShift AI, its cloud-based AI and machine learning platform, with a model registry with model versioning and tracking capabilities, data drift detection and bias detection tools, and LoRA (low-rank adaptation) fine-tuning capabilities. Stronger security also is offered, Red Hat said. Version 2.15 of Red Hat OpenShift AI will be […]
Read MoreBreaking down digital silos
Shared goals, shared success I run developer relations for MongoDB. My team is filled with engineers who write code and eschew marketing. Yet my team sits within the marketing org. Different companies do this differently, with some developer relations teams housed within the product or engineering groups (as we used to be at MongoDB). But […]
Read MoreWSO2 API managers manage AI APIs
Enhancements for WSO2 API Microgateway, a cloud-native, developer-centric decentralized gateway for microservices. The newest version has been updated to align with the latest WSO2 API Manager release for enhanced scalability while maintaining governance, security, and reliability, WSO2 said. gRPC API support for WSO2 API Platform for Kubernetes Gateway, providing capabilities for developers and engineers building […]
Read MoreVisual Studio Code previews AI-powered code editing
Microsoft’s Visual Studio Code is previewing Copilot Edits, a feature powered by GitHub Copilot that suggests changes across multiple files in a workspace based on the developer’s prompts. Copilot Edits and other new Copilot-powered capabilities arrive with Visual Studio Code 1.95, also known as the October 2024 version of the code editor. Visual Studio Code 1.95 […]
Read MoreCloud providers make bank with genAI while projects fail
Unfortunately, AI is failing everywhere. The abandonment rate of projects reflects a broader trend of resource misalignment and strategic oversights. The rapid advancements in AI capabilities have been matched by increased complexity and specificity of data requirements. Many organizations need help sourcing and managing high-quality data for successful AI deployments, which has become an obstacle […]
Read MoreThe machine learning certifications tech companies want
In addition, the certification exam evaluates a candidate’s ability to implement strategies for deploying machine learning models. Finally, candidates are assessed on their ability to build monitoring solutions to detect data drift. Individuals who pass the certification exam can be expected to perform advanced machine learning engineering tasks using Databricks Machine Learning. Google Cloud Professional […]
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