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Let’s compare Flutter and Kotlin a little more directly, based on a number of key factors. By Flatirons.

Kotlin Multiplatform, an extension of the Kotlin programming language, presents a compelling alternative comparable to Flutter in the realm of cross-platform development. It enables developers to seamlessly share and reuse code across a diverse range of platforms, such as Android, iOS, web, and desktop. This feature of Kotlin Multiplatform is particularly advantageous for writing and maintaining common business logic and data processing code, as it allows these components to be written just once and then efficiently deployed across various platforms.

This article then provide information on following topics:

• What is Flutter?
• What is Kotlin?
• What is Kotlin Multiplatform?
• Flutter vs. Kotlin breakdown
• When is Kotlin better than Flutter?
• When is Flutter better than Kotlin?

In essence, Kotlin is the ideal choice for projects that demand comprehensive Android functionality and benefit from a team with Java experience. However, for broader cross-platform needs or when the focus is on rapid development and deployment across multiple platforms, Flutter still stands out as a more fitting option. Consider your project’s specific requirements and your team’s expertise to make the most informed decision.

In summary, Flutter is the go-to framework for scenarios that demand rapid development, aesthetically pleasing UIs, and cross-platform functionality, especially when the project does not require intensive use of platform-specific Android features. Its capacity to swiftly produce quality apps for both Android and iOS makes it an appealing choice for a wide range of development projects. Good read!

A distributed system is a collection of computer programs that work together to achieve a common goal. For example, Spotify uses a distributed network of servers to store and deliver music and podcasts to its users. By Bassam Ismail and Hanush Kumar.

Resilience strategies provide a foundation for building robust, scalable, and reliable distributed applications and services. This blog post explains:

• Timeouts and automatic retries
• Deadlines
• Circuit breakers
• Redundancy and replication
• Graceful degradation
• Chaos engineering
• Health checks and monitoring
• Load balancing

The increasing cost of downtime highlights the critical need for resilient distributed systems to build apps. By using strategies like circuit breakers and redundancy, businesses strengthen their applications and handle potential issues in advance. Interesting read!

Guidance on how to build and use containerised applications securely. Containers are a common approach for packaging and deploying applications, standardised by the Open Container Initiative (OCI). By National Cyber Security Centre.

Containerising an application is a great enabler for improving its security, making it easier to both understand and simplify the execution environment and its dependencies. This in turn makes it easier to apply other techniques to improve security.

This article then reads about:

• Terminology
• Building container images
  • Secure the base image supply chain
  • Minimise the image contents
  • Harden the image configuration
  • Apply security updates effectively
  • Scan images for vulnerabilities and misconfiguration
  • Maintain an image audit trail
• Running containers
• Containerisation in the Cloud

Containerisation is used widely in the cloud, both by cloud providers to deliver their services and by the customers of those services. Uou should expect containerisation to be built on the cloud platform, taking full advantage of other core services. The container ecosystem should integrate well with the rest of the platform, so that it can share the platform’s security benefits. Nice one!

Many enterprises adopting a multi-cloud strategy and breaking up their monolithic code realize that container management platforms By Melissa Sussmann.

The key to modern applications is utilizing microservices for breaking up your monolithic code. Your digital transformation journey will depend on containerized application — and orchestration automation — to speed up app deployment and maintain highly available, secure customer experiences.

Further in the article:

• What is Kubernetes?
• OK, so what specifically can Kubernetes do for me?
• Kubernetes security best practices
• So you deployed Kubernetes. What next?

Kubernetes enables a microservices approach to building apps. Now, you can break up your development team into smaller teams focusing on a single, smaller microservice. These teams are smaller and more agile because each has a focused function. APIs between these microservices minimize the cross-team communication required to build and deploy. So, you can scale multiple small teams of specialized experts who each help support a fleet of thousands of machines.

Since Kubernetes runs consistently across all environments, on-premise, and clouds like AWS, Azure and GCP, Kubernetes provides a more seamless and prescriptive path to port your application from on-premise to cloud environments. Good read!

The article provides insights into using AWS API Gateway and AWS Lambda with Terraform for efficient, cost-effective serverless solutions. This article aims to be a comprehensive guide for developers and DevOps professionals looking to master serverless solutions using AWS and Terraform. By Serhii Vasylenko.

Source: https://devdosvid.blog/2024/01/09/mastering-aws-api-gateway-v2-http-and-aws-lambda-with-terraform/

The article provides an in-depth guide to combining AWS API Gateway V2 HTTP API (yes, this is the official name of that service 😄) and AWS Lambda services to implement a simple, robust, and cost-effective serverless back-end using Terraform. You will learn about:

• Navigating the system design: HTTP API Gateway and Lambda in action
• Behind the decision: Why such a setup?
  • Cost-effectiveness: Balancing performance and price
  • Simplicity in configuration: The power of header-based authorization
• Exploring AWS Lambda: Features and integration
• AWS Lambda runtime and deployment model
• Efficient Terraform coding for AWS Lambda
• Invoking Lambda: Permissions and resource-based policies
• Deep dive into HTTP API Gateway

… and more. We focused on practical implementation and the tangible benefits of combining these technologies. By leveraging Terraform, we’ve seen how infrastructure management can be simplified, allowing for clearer, more maintainable code. The combination of AWS Lambda and HTTP API Gateway has demonstrated the efficiency of serverless computing, offering scalability and performance without the burden of extensive configuration and management. Good read!

Thanks to Bun Shell, it’s now possible to write fast scripts in JavaScript. Some time ago, Alexandre published a test of ZX, a NodeJS wrapper for Bash. This project has inspired many others. By Anthony Rimet.

Bun is a JavaScript runtime created by Jarred Summer. Launched in 2021, it aims to create an ecosystem for developing JavaScript/TypeScript applications. It is written in Zig and powered by JavaScriptCore, which considerably reduces startup times and memory usage.

The article then explains:

• Bun Shell
• How does it compare to other shells?

Bun Shell provides its own implementation of popular UNIX commands such as echo. Some commands are programs, while others are “builtins”. Built-in functions are already available in a programming language or a system, without the need for explicit declaration or external libraries. They provide a standardized and efficient way to perform specific tasks. For example, in Bash, echo is a builtin, while wc is a program. Bun Shell provides builtins for commons usage so that they can be executed faster. That’s why there’s a difference in performance with ZX. Bun covers more common commands, and wants to implement more in the future.

Being able to write fast scripts in JavaScript and TypeScript, while having good performance and being more readable than Bash, is nice. Nice one!

JavaScript is bigger than ever, and the ecosystem is nothing short of overwhelming. In this JS toolbox 2024 series, we’ve selected and analyzed the most noteworthy JS tools, so that you don’t have to. By Ollie Bannister.

This post, the first in our JS Toolbox 2024 series, explores the core pillars of the JavaScript & TypeScript ecosystem: Runtime environments, package management, and development servers.

You will learn about:

• Runtime environments
  • Node.js
  • Deno
  • Bun
• Comparing JS runtimes
  • Installation
  • Performance, stability, and security
  • Community
• Package managers
  • NPM
  • Yarn
  • pnpM
  • Bun
• What to choose

In JavaScript development, runtimes are the engines that drive advanced, server-centric projects beyond the limitations of a user’s browser. This independence is pivotal in modern web development, allowing for more sophisticated and versatile applications. The JavaScript runtime market is more dynamic than ever, with several contenders competing for the top spot. Node.js, the long-established leader in this space, now faces formidable competition from Deno and Bun. Good read!

From startup conferences and TED Talks to Twitter memes and TikToks, entrepreneurs are looking for an answer to the question “I have an idea for an app, now what?” everywhere. By Andrii Bas.

Founders who have failed previously have a 20% chance of success while 1st-time founders have an 18% chance of success.

Source: 106 Must-Know Startup Statistics for 2024 embroker.com

This article then describes:

• I have an app idea: 1st-time founder vs 2nd-time founder
• What to do with an app idea: Guide for 1st-time founders
  • Do the discovery
  • Get the first LOI/ Early bird customers/ Pre-payment
  • Gather the team
  • Create a list of short-term and long-term goals
  • Build MVP. Test MVP. Iterate
  • Join startup accelerators/incubators
  • Improve and Scale
• How to develop an app idea: In-house vs outsourcing
• App development cost by region

It all often starts with “I have an idea for an app. Yey!” but things become complicated when it comes to how to get an app idea developed. Especially if it’s your first time developing a product. Many questions arise, and you can spend days not knowing what to do next. Nice one!

In this article, we provide you with an in-depth guide on how to publish your app on Google Play and the App Store. You’ll also find out what you should avoid when publishing an app. By by Amir Ahmed Khan.

This guide then focuses on:

• What is the typical timeframe for publishing an app?
• How to publish your app on Google Play store?
• How to publish your app on the Apple App store?
• Major reasons for rejection by Google
• Major reasons for rejection by Apple

… and more. An app that lacks sufficient functionality or content, or caters only to a small niche market, may also be rejected. Evaluate other apps within your category in the App Store and identify ways to enhance the user experience and add value to your app. Google prioritizes user privacy and ensures a secure environment, placing utmost importance on these aspects. The platform strictly prohibits the presence of apps that are misleading, malicious, or designed to exploit networks, devices, or personal data. Good read!

Kubernetes is a powerful container orchestration platform that can help developers and DevOps teams deploy, manage, and scale applications more efficiently. However, with great power comes great responsibility. If you are not careful, it can be easy to end up with a complex and difficult-to-manage Kubernetes cluster. By Ben Grady.

In this blog post, we will discuss some best practices for efficient Kubernetes cluster management for developers and DevOps teams. We will also cover some specific best practices for managing Kubernetes clusters on EKS, GKE, and AKS. Further in the article:

• Managed Kubernetes Services
• Resource Management and Optimization
• Monitoring and Logging
• Implement GitOps for Kubernetes
• Examples of GitOps Tools
• Section 6 Best Practices on EKS, GKE, and AKS
• Best Practices for Managing Kubernetes Clusters on GKE
• Best Practices for Managing Kubernetes Clusters on AKS

Reducing the size of your container images offers several advantages. It accelerates build and deployment processes and decreases resource consumption on your Kubernetes (K8s) cluster. To achieve this, consider eliminating unnecessary packages and prioritize using compact OS distribution images like Alpine. Smaller images not only load faster but also occupy less storage space. Good read!