# Code Modularity Published articles for Code Modularity. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Blog: Introducing Falco 0.41.0 DevFeed: [Blog: Introducing Falco 0.41.0]() Original publisher: [Read original article]() Published: 2025-05-29T00:00:00Z Content type: release Language: en Sources: [Falco - Falco](), [Falco - The Falco blog]() Topics: [Falco](), [eBPF](), [Kubernetes](), [configuration](), [container](), [JSON](), [Prometheus](), [bug](), [Code Modularity]() Tags: [bug-fixes](), [capabilities](), [changes](), [code-modularity](), [configuration](), [container](), [ebpf](), [falco](), [json](), [kubernetes](), [prometheus](), [release](), [ux]() ### AI overview Falco 0.41.0 introduces revised container engine support, an early Kubernetes operator, configurable merge strategies, expanded eBPF driver behavior, new field access options, and JSON output controls. The release also includes fixes for kernel-module crashes, Prometheus metrics, RPM scripts, and configuration overrides. ### Source excerpt Dear Falco Community, today we are happy to announce the release of Falco 0.41.0! This version brings several new features, performance enhancements, and bug fixes that streamline Falco's detection capabilities. During this release cycle, we merged more than 50 PRs on Falco and around 130 PRs for libs and drivers, version 0.21.0 and version 8.1.0, respectively. Thank you to our maintainers and contributors. This would not have been possible without your support and dedication! To learn everything about the changes, read on! What's new? TL;DR Key features: Reimplemented container engines support from scratch; A Kubernetes operator is taking shape; Falco's config_files configuration gained support to specify the merge strategy; Modern eBPF driver is now capable of trying to load multiple programs for each event; consequently, sendmmsg and recvmmsg will now make use of bpf_loop eBPF helper where available, boosting their performances; New proc.aargs field available, ie: a lookup for an ancestor args field; proc.args gained support for indexed access, to only check a certain argument; json_include_output_fields configuration key for Falco to control whether output fields are included in the JSON message; Ongoing work to improve libs code modularity; Key fixes: Avoid kmod crashing when a CPU gets enabled at runtime; Fixed Falco Prometheus metrics with multiple event sources enabled; Fixed RPM packages evaluation of RPM scripts; -o options do now correctly override included config_files; This release also comes with breaking changes that you should be aware of before upgrading. Major features and improvements The 0.41.0 release contains a number of features and UX improvements. Here is a list of some of the key new capabilities. Reimplemented container engines support In the Falco 0.41.0 release, the Falco team has completely revised its support for container engines. Key improvements include: Container support is now a plugin; The plugin will attach a listener to the eng ## Ep. 3: Mastering Kubernetes: Setting Up Environments with Kind DevFeed: [Ep. 3: Mastering Kubernetes: Setting Up Environments with Kind]() Original publisher: [Read original article]() Published: 2024-05-28T00:00:00Z Content type: tutorial Language: en Sources: [William Kennedy]() Topics: [Kubernetes](), [Docker](), [configuration](), [Deployment](), [networking](), [Command-line interface](), [Development]() Tags: [cli](), [clusters](), [code-modularity](), [configuration](), [cpu](), [deployment](), [docker](), [go](), [go-development](), [go-projects](), [guides](), [how-to](), [kubernetes](), [memory](), [networking](), [package-architecture](), [software-design](), [troubleshooting](), [video]() ### AI overview This video tutorial explains how to set up and manage a Kubernetes development environment using kind, Kubernetes inside Docker. It covers clusters, nodes, pods, resource allocation, networking, asynchronous operations, deployment monitoring, and troubleshooting for Go applications. ### Source excerpt Introduction: In this installment of the Ultimate Software Design series, Bill guides us through setting up a Kubernetes environment using Kubernetes inside Docker (kind). He breaks down the structure of Kubernetes and offers insights into effective cluster management, ensuring a robust and efficient development environment. Effective Cluster Management: Learn the basics of setting up and managing a Kubernetes cluster, essential for maintaining scalable and resilient Go applications. Pod and Node Configuration: Understand how to configure pods and nodes to optimize compute resources and ensure seamless application deployment. ## Ep. 2: Elevating Software Design in Go: Package Architecture in Modern Development DevFeed: [Ep. 2: Elevating Software Design in Go: Package Architecture in Modern Development]() Original publisher: [Read original article]() Published: 2024-05-21T00:00:00Z Content type: tutorial Language: en Sources: [William Kennedy]() Topics: [Go Language](), [Software Engineering](), [Architecture & Design](), [Code]() Tags: [api-design](), [code-modularity](), [dependencies](), [go](), [go-development](), [go-projects](), [integrity](), [modularity](), [package-architecture](), [scalability](), [software-design]() ### AI overview This video episode explains package architecture in Go. It emphasizes clear boundaries between components, focused package functionality, avoiding generic packages such as "Utils" or "Common," and the role of robust type systems in maintainable software. ### Source excerpt Introduction: In this insightful episode, Bill dives deep into the realm of package design, shedding light on its crucial role in software development. Here are three key takeaways for Go developers: Code Modularity: Learn how Go's packaging system creates essential firewalls between program components, enhancing maintainability. Focused Functionality: Discover the importance of designing packages that provide specific functionality, fostering code clarity. Avoiding Pitfalls: Bill warns against common package design mistakes like centralized "common" packages, promoting a layered approach to maintainable code. ## Managing State in Vue Applications: The Composable Provider Pattern DevFeed: [Managing State in Vue Applications: The Composable Provider Pattern]() Original publisher: [Read original article]() Author: Doximity Published: 2023-07-21T07:23:00Z Content type: article Language: en Sources: [Doximity]() Topics: [Vue.js](), [Front end](), [Scalability](), [Nuxt.js]() Tags: [code-modularity](), [components](), [maintainability](), [modularity](), [reusable-code](), [reuse](), [scalability](), [state-management](), [vue]() ### AI overview This article explains the Composable Provider pattern for state management in Vue applications. The approach combines the Vue Composition API with the Provide/Inject APIs to manage complex, feature-driven state, with benefits including scalability, maintainability, reusability, and reduced code duplication. ### Source excerpt State management is a fundamental concept of front-end application design, and a critical aspect in building robust Vue applications. As Vue applications grow in complexity, managing state becomes an increasingly challenging task, especially when working with a large organization of engineers spread across various product teams. Fortunately, the Vue and Nuxt ecosystem provides a variety of state management solutions, each with its own trade-offs. In this blog post we will explore the Composable Provider pattern, which handles state management by combining the Vue Composition and Provide/Inject APIs, and why its clean and simple implementation is a powerful approach to handling complex, feature-driven state in modern Vue applications. Note: This article was originally intended as a reference for our internal engineering team, but given its potential general use among Vue application developers we are publishing it here. We hope you'll find this pattern helpful when designing your Vue application's state as we have here at Doximity! Why Efficient State Management Matters Efficient state management plays a crucial role in the development of Vue applications. As applications grow in complexity, the ways in which we manage and handle changes to state become increasingly important. Here are a few key reasons why managing state efficiently matters: Scalability: As Vue applications and the teams building them grow in size, the complexity and size of their state grow also. Efficient state management allows for better scalability by providing a structured and organized approach to handling state. It becomes easier to add new features, maintain existing functionality, and reason about the flow of data within the application. Code Maintainability: Well-managed state reduces code complexity and promotes code maintainability. When state is not encapsulated properly, it becomes challenging to understand and modify the application's behavior. By implementing sound state management