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Go, also known as Golang, is celebrated for its simplicity, readability, and efficiency. While the language itself encourages clean and idiomatic code, there are various advanced techniques and best practices that can significantly enhance the performance of your Go applications. In this in-depth guide, we will explore key strategies for optimizing Go code, covering a range of aspects from profiling to HTTP server optimization. By @withcodeexample.com.

The article reads about:

• Profiling
  • CPU Profiling in Go
  • Memory Profiling in Go
• Concurrency
• Goroutines
• Channels
• Memory Pooling
• Benchmarking

… and more. In the world of Go programming, mastering advanced optimization techniques is crucial for building high-performance applications. This guide has explored profiling, concurrency, memory pooling, benchmarking, and caching, providing a toolkit to boost your Go applications. Good read!

An Ansible® module is a small program that performs actions on a local machine, application programming interface (API), or remote host. Modules are expressed as code, usually in Python, and contain metadata that defines when and where a specific automation task is executed and which users can execute it. By @redhat.com.

Further you will learn:

• How do modules work?
• Creating and sharing Ansible modules
• Using modules with event-driven automation

While modules play an essential role in playbook execution, they also hold value for organizations looking to take a more advanced, proactive approach to IT management with event-driven automation. Nice one!

Microservices grew in popularity from 2014 on—especially as companies like Netflix, Amazon, and Etsy made microservices a focal point both for their architectures and for their long-term abilities to iterate. Migration became the headline topic. If you were on a monolith, how were you going to migrate? When? It had to be soon. By Rich Moy.

The article then reads about:

• What is monolithic architecture?
• Advantages of monolithic architecture
• Disadvantages of monolithic architecture
• What is microservices architecture?
• The emergence of blended commerce platforms

The lists of pros and cons for monolithic and microservices architecture often muddy the waters for retailers searching for the right solution for their business. Monoliths require less overhead, but they’re difficult to scale. Microservices architecture gives you more flexibility and development control, but they can be unwieldy to manage, and fully custom builds may create performance issues and failure cascades. Good read!

In the rapidly evolving tech landscape, grasping the nuances of software system improvement and maintenance is more vital than ever. Key methodologies like DevOps, Site Reliability Engineering (SRE), and Platform Engineering are not just buzzwords; they’re essential pillars in the realm of technology companies. Understanding these concepts can significantly impact your organization’s efficiency and resilience. By Mat Caniglia.

DevOps, a synergy of software development and IT operations, streamlines these traditionally separate domains to enhance speed and quality in software delivery. On the other hand, SRE, a discipline brought to the forefront by Google, is dedicated to bolstering system reliability and smooth operation – think of it as an elite team ensuring peak system performance under all circumstances.

This long resource then describes:

• Definition and origin of DevOps
  • Core responsibilities and goals of a DevOps team
  • Essential DevOps tools and practices
  • DevOps’ impact on the software development lifecycle
• What is Site Reliability Engineering (SRE) and its connection to Google?
• Introduction to Platform Engineering
• Integrating DevOps, SRE, and Platform Engineering in an Organization
• Recommendations for small businesses

For small businesses, adopting the right methodologies in the early stages can be crucial for their growth and long-term success. Choosing between DevOps, SRE, and Platform Engineering depends on the specific needs and strategy of the company. DevOps unites development and operations to improve speed and efficiency, how SRE focuses on the reliability and scalability of systems, and how Platform Engineering facilitates tools and platforms to streamline the development process. Nice one!

Generative AI is increasingly used to draft, edit, annotate and debug code. It’s not just industry software developers who are taking advantage of the tools it has to offer. Those who develop and use software for academic research are benefitting from them too. So how do you make the best use of generative AI for coding in a research context? As software engineers with The Alan Turing Institute’s Research Engineering Group (REG) and PhD Enrichment scheme, we’ve been asking ourselves just this question. Here, we share our thoughts, along with some tips for researchers. By Ed Chalstrey and Anastasiia Grishina.

The article answers these questions:

• How can generative AI help?
• Which tools can I use?
• What tasks can I get help with?
• What should I be wary of?

In the same way that generative AI tools like ChatGPT and Midjourney can be used to generate or modify written text, images or video – based on a “prompt” – they can be used to generate or modify code. For example, using a section of code as a prompt, you can add “explain each line of this code”, to which the AI will respond with a line-by-line explanation, perhaps modifying the code itself with helpful comments. These new tools can help to reduce the time spent trawling through search engine results, reading online tutorials and posting coding questions on websites like Stack Overflow. For researchers, they mean less time spent learning to code and more time on the research questions at hand. Nice one!

Another LTS Java release is already here, bringing some exciting changes and improvements. Let’s analyze the most important Java 21 features, check out how they work in practice, and try to predict their significance for the future of this technology. By Arkadiusz Rosłoniec.

Since the Java platform adopted a six-month release cycle, we’ve moved past the perennial questions such as “Will Java die this year?” or “Is it worth migrating to the new version?”. Despite 28 years since its first release, Java continues to thrive and remains a popular choice as the primary programming language for many new projects.

The article then highlight several Java 21 JDK Enhancement Proposals (JEPs) that author believes are particularly noteworthy:

• String Templates
• Sequenced Collections
• Pattern Matching for switch and Record Patterns
• Virtual Threads

Most of features aren’t as groundbreaking as some of the things introduced in JDK 17, but they’re still very useful, and nice to have QOL (Quality of Life) changes. Overall, the advancement Java made in various areas signals the team’s ongoing commitment to improving efficiency and performance in high-demand applications. Good read!

Discover over 55 cloud statistics, including stats around forecasts, cloud waste reports, cloud cost optimization efforts, and data on hybrid cloud adoption rates. By Cody Slingerland.

The trend continues to accelerate – even faster now. Cloud computing was already booming before 2020. But in the following two years, remote work flourished, and cloud adoption soared.

Yet there’s more to the rise and rise of cloud computing than remote working. For example, cloud infrastructure also supports big data analytics, Artificial Intelligence (AI), Machine Learning (ML) models, the Internet of Things (IoT), and advanced Business Intelligence (BI). So, we compiled the following remarkable cloud computing statistics from reliable sources to help you keep up-to-date.

Some of the stats mentioned:

• Globally, the cloud computing market will surpass $1 trillion by 2028. (Precedence Research)
• The global cloud computing market grew from $24.63 billion in 2010 to $156.4 billion in 2020. That’s a 635% jump.
• Only 3 out of 10 organizations know exactly where their cloud costs are going (CloudZero, The State Of Cloud Cost Intelligence 2022 Report)
• A cloud bill can comprise hundreds of millions or billions of rows of data (FinOps Certification)
• An Amazon Cost & Usage Report is too large to load into Excel all at once. Instead, Amazon splits its monthly CUR into many separate files. Good luck understanding them. (FinOps Certification)
• You can reduce your Total Cost of Ownership (TCO) by as much as 40% by migrating your business to the public cloud (Accenture)

Authors have also included tips, tricks, and tools to make cloud computing work for you. Yes, that includes practical tips on how to manage and optimize your cloud costs across AWS, Azure, GCP, Kubernetes, and Snowflake within a single platform. Nice one!

I recently bought a Macbook because more and more people are asking me how to use Nix in certain situations under MacOS. In this article, we walk through installing Nix on MacOS and see how pleasant the experience is these days. In this article, we walk through installing Nix on MacOS and see how pleasant the experience is these days. After that, we show how to go declarative on MacOS with nix-darwin to enable compilation for Linux and Intel Macs, as well as some other nice features. By Jacek Galowicz.

In this guide you will learn:

• Why would one want to have Nix on a Mac?
• Step 1: Installing Nix on macOS
• Step 2: Going declarative with nix-darwin
  • Additional nix-darwin goodies
  • Unlocking sudo via fingerprint
  • Setting System Defaults
  • Apple Silicon Macs: Compile Intel Binaries
  • Building Linux binaries
• Updating the System

Some Apple fans might like setting up a new system each time, but most of us want things to be simple and in sync. Good read!

Welcome back to our blog series about the evolution of mass-prebuild. In our first post in 2022, we introduced this powerful open source tool designed for streamlining package builds across multiple architectures and Linux distributions. This article continues that journey, exploring how mass-prebuild has been continually refined, improved, and grown in response to user feedback and technological advancements. By Frédéric Bérat.

The Mass Prebuilder (MPB) is a set of tools aimed to help the user to create mass rebuilds around a limited set of packages, in order to assess the stability of a given update.

This article also describes:

• Recap: What is mass-prebuild?
• Navigating the path to stability: The early days of mass-prebuild
• Expanding horizons, accelerating growth: Innovations and upgrades
• Bug fixes, enhancements, and new features: The continued evolution
• A milestone with GCC 14: Uncovering critical issues through comprehensive rebuilds

Throughout its remarkable evolution, mass-prebuild has become an indispensable tool to assess the stability of a given component update. By incorporating numerous improvements, updates, bug fixes, and new features, it has solidified its position as a vital resource within the open-source community. Yet, there will be some improvement coming for the tool. An example of this is the backends. The mass-prebuild currently supports COPR and mock for the builds, support for Koji is still not yet integrated and will be part of a future release. Interesting read for any open-source builder!

Welcome to the world of Kotlin, a modern programming language that has captured the hearts of developers worldwide, especially in the realm of Android app development. JetBrains developed Kotlin, and since its release in 2011, it has seen a rapid rise in popularity. In 2017, Google announced first-class support for Kotlin on Android, and since then, there has been no looking back. By @appmaster.io.

The guide then describes in some detail:

• Setting up your development environment
• Choosing the right Integrated Development Environment (IDE)
• Installing the Kotlin plugin
• Configuring the Kotlin compiler
• Exploring the project structure
• Setting up version control
• Understanding emulators and real device testing
• Your first Kotlin application
• Understanding Kotlin syntax and commands
• Debugging and testing your Kotlin app

… and more. Embracing Kotlin as your programming language for Android app development can be an exciting step in your coding journey. Kotlin’s expressive syntax and safety features can make your development process both enjoyable and productive. Here we provide some essential tips to further enhance your efficiency while developing Kotlin apps. Nice one!