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Developing Reactive microservices with Akka HTTP

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Tags akka app-development scala programming

Microservices have become a cornerstone in designing scalable, maintainable, and resilient software systems. Reactive microservices take this a step further by adhering to the principles of reactive systems, providing better resource efficiency and user experience through responsive, resilient, elastic, and message-driven architecture. By Arthur C. Codex.

The article then covers:

  • Understanding Akka HTTP
  • Setting up your project
  • Building a simple Akka HTTP service
  • Implementing reactive microservices
  • Persistence and event sourcing
  • Testing your services

Akka HTTP offers a toolkit for building REST/HTTP services. It is built on top of Akka Streams and provides a high-level server- and client-side API. The main advantage of using Akka HTTP is its ability to handle streaming data and back-pressure, thus adhering to reactive stream principles. Nice one!

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Mastering Python for Data Science: Beyond the basics

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Tags python app-development web-development big-data machine-learning

Python reigns supreme in the data science world, yet many aspiring (and even veteran) data scientists only scratch the surface of its true capabilities. To truly master data analysis with Python, you must venture beyond the basics and use advanced techniques tailored for efficient data manipulation, parallel processing, and leveraging specialized libraries. By Nahla Davies.

The large, complex datasets and computationally intensive tasks that you’ll run into demand more than entry-level Python skills.

Further in the article:

  • Efficient data manipulation with Pandas
  • High-performance computing with NumPy
  • Enhancing performance through multiprocessing
  • Leveraging niche libraries for elevated data analysis

Mastering advanced Python techniques is crucial for data scientists to unlock the full potential of this powerful language. While basic Python skills are invaluable, mastering sophisticated data manipulation, performance optimization, and leveraging specialized libraries elevates your data analysis capabilities. Good read!

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And the AI winner is... IBM?

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Tags ibm app-development ai cio management

IBM is focusing its AI initiatives on the business case instead of trying to get customers to focus on AI, and that’s what sets it apart. Who’s the leader in AI? If you ask Wall Street or the media, the answer you almost always get is either Nvidia or OpenAI. Google and Microsoft also get some mentions. But for the most part, those four vendors seem to garner all the good AI ink. By Tom Nolle.

The first reason is simple. IBM believes its buyers are smart, and it wants them to be. Most vendors don’t. For decades, I’ve listened to sales management tell the sales force to avoid consultative selling, avoid “educating” the customer. Make your darn numbers, sales management says. For decades (six, in fact) IBM has taken another path. They used to hand out notebooks to people, emblazoned with one word: Think. I’ve sat in on CIO/CTO-level meetings that included IBM’s account teams, and I was struck by how much the team worked to draw out that thinking. And not just thinking about technology, thinking about how technology changes business.

That brings the second point, which is that IBM has focused its AI on the business case instead of trying to get customers to focus on AI. Why isn’t writing a check good enough? It’s because a notion that AI might be valuable could fund an experiment, but not a significant deployment. AI is entertainment to most people, nothing more.

IBM has seen AI, its watsonx, as a business intelligence and analytics tool. They didn’t come on that as a stunning revelation in a recent sales call, they knew it because they were there thinking too. They’ve focused their AI discussions with enterprises—the same ones who’ve then told me about this—and they’re finding the real applications of AI, even what’s now called “generative” AI. Find more thoughts provoking ideas by following the link to the full article. Interesting read!

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CSS Media Queries for accessibility: Optimizing digital product design for every user

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Tags ux css frontend web-development miscellaneous app-development

There’s plenty to consider when it comes to web accessibility. And while we should strive for universal design that is inclusive for as many users as possible from the start, there are often cases where one size doesn’t fit all. By Li Zilles.

Users may have different – even conflicting! – needs when it comes to motion on web pages, color contrast, and input methods. In this blog post, we’ll go over some CSS media queries that can help us tailor a good user experience in these situations where “special-casing” is desirable or necessary.

In the article you will find:

  • Reduced motion
  • Light and dark color schemes
  • Increased contrast
  • Hover and pointer
  • Media queries of the future

When it comes to web accessibility, CSS media queries can be a very useful tool for customizing an experience for a user’s specific needs and preferences. We should always carefully consider first whether a media query is necessary at all when perhaps it could be incorporated into the overall design, but in the cases that require more targeted accommodation, these media queries might be just the thing that’s needed! Nice one!

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Here's how to become a UX designer in 2024

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Tags ux agile cloud web-development app-development

If you’ve been thinking you’re a good fit for a career in UX design, but aren’t sure where to begin, we’re here to help. We will also break down more about the field of UX design, the current UX job market, and the salary you can expect. By Emily Stevens.

The article covers:

  • How to become a UX designer: An 8-step guide
    • Step1: Start reading up on UX and take a free course
    • Step 2: Learn the key UX principles
    • Step 3: Learn about the key UX design methods and processes
    • Step 4: Structure your learning with a credible UX course
    • Step 5: Practice as much as you can
    • Step 6: Learn the tools of the trade
    • Step 7: Build your UX portfolio
    • Step 8: Network with other designers
  • What does a UX designer actually do?
  • Are UX designers in demand?
  • Can beginner UX designers find work in 2024?
  • How much can UX designers expect to earn?

Your first step is to understand the various disciplines that constitute the broad church of modern-day UX design, so explore its interior, from altar to the aisle, before deciding whether it’s for you—and whether you’d ultimately like to refine your skills in one particular area of user experience. However, it’s most essential to develop a strong skill set in user research, information architecture, wireframing, prototyping, usability testing, and interaction design. Interesting read!

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The system design cheat sheet: Relational databases

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Tags mysql database miscellaneous cloud software-architecture

In system design, relational databases are a traditional choice for data storage, offering structured schema and powerful query capabilities, contrasted with NoSQL databases’ flexible schemes and scalability. By Aleksandr Gavrilenko.

The article then dives into following topics, each is explained from various points of view and with cons and pros mentioned:

  • Terminology
  • Database design strategies
  • ER (Entity Relationship) diagram
  • Design patterns
    • Normalization
    • Denormalization
    • Entity-Attribute-Value (EAV)
    • Master-detail
    • Table inheritance
    • Snowflake
    • Audit logging
    • Versioning
  • Scaling and fault tolerance
    • Master-slave (primary-secondary) replication
    • Multi-master (master-master, primary-primary ) replication
    • Sharding
    • Federation

Design patterns for relational databases are reusable solutions to common problems encountered when designing database schemas, querying data, and implementing database-related functionalities. Scaling and fault tolerance are critical aspects of managing relational databases, especially in environments that require high availability, performance, and consistency. These concepts ensure that a database can handle growing amounts of work and recover from hardware or software failures without data loss. Nice one!

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Digital transformation: A comprehensive exploration for modern businesses

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Tags cloud cio learning ux agile teams

Digital transformation is a term used to describe the integration of technology into all aspects of business operations to improve efficiency, increase competitiveness and ultimately enhance customer experiences. By Sean Houghton.

Further in the article you will learn:

  • Digital transformation is an essential part of modern business strategy, enabling businesses to integrate digital technology into their operations and gain a competitive advantage
  • A successful digital transformation requires tech integration, process optimisation and a cultural shift with clear goals and the right leaders in place
  • To stay competitive in today’s digital world, businesses must leverage cloud computing, AI and automation while addressing legacy systems and security/privacy concerns

In the current digital world, businesses must adopt digital transformation to maintain relevance and profitability. This requires a shift in mindset and a willingness to adapt to new technologies.

In conclusion, digital transformation is a powerful force that can revolutionise businesses, drive growth, and reshape industries. By understanding its journey, addressing challenges, and incorporating digital solutions and strategy, businesses can position themselves for success in the digital world. Good read!

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Mastering Ansible roles: best practices and effective strategies

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Tags cloud containers devops ansible

In the dynamic world of DevOps, where automation and configuration management are paramount, Ansible emerges as a powerful open-source tool of choice for many professionals. With its ability to facilitate continuous delivery and streamline software code deployment, Ansible has become an indispensable asset in the DevOps toolkit. By Gagan Baheti.

Information in this article contains:

  • What Is Ansible?
  • Understanding Ansible roles
  • Main features of Ansible
  • Creating and managing Ansible roles

In the realm of DevOps, Ansible Roles play the role of skilled coordinators, efficiently managing infrastructure updates and creating a well-organized system. In Ansible, a directory structure is a predefined organization of files and folders that allows for the effective management and deployment of roles. Good read!

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2024 K8s benchmark report: The latest trends in workload reliability

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Tags kubernetes containers devops performance

According to Gartner, cloud computing will become an essential component of maintaining business competitiveness by 2028. Indeed, in 2024 spending on public cloud services is projected to reach $679 billion. While cloud spend is complex and costs originate from a number of sources, it is undeniable that many organizations are moving apps and services to the cloud and using Kubernetes to manage containers effectively and ensure workload reliability. By Joe Pelletier.

Using data from over 330,000 workloads and hundreds of organizations, Fairwinds created the 2024 Kubernetes Benchmark Report, which analyzes trends in 2024 and compares the results to 2022 and 2023 benchmarks.

Further in the article:

  • Missing liveness and readiness probes
  • Pull policy not always
  • Deployment missing replicas
  • CPU limits missing
  • CPU requests missing
  • Workload reliability remains challenging

Kubernetes brings extraordinary value to organizations in 2024 and beyond, which means that understanding the many configurations available in Kubernetes and how to adjust them appropriately is critical if you want to meet your environment and business requirements. Good read!

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Business intelligence services: Navigating the future of data analytics

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Tags learning analytics cio big-data

How does a business make key decisions? In a business environment, decisions take place based on evidence and information derived through various operations. A company decides to expand its manufacturing facility to produce more goods when shifts in consumer demand indicate growth. By infomineo.com.

What is business intelligence, its relation to data analytics, and how does a modern-day enterprise leverage it to achieve sustainable growth and market success? We’ll answer those questions below, including:

  • Definition of Business Intelligence Services
  • Understanding business intelligence platforms
  • Top business intelligence tools in 2024
  • Key features of business intelligence tools
  • Data analytics integration
  • Implementing business intelligence services
  • Business intelligence applications across industries

The role of business intelligence services is paramount. Using BI tools and data integration, businesses get a better understanding of the current markets and gain valuable insights into consumer behavior. This allows them to plan key activities, such as forecast demands and manufacturing strategies to fulfill customer demands.

Artificial Intelligence has enabled a new wave of BI platform integrations, algorithms, and pattern detection. Using machine learning and learning from large complex datasets, AI improves pattern detection and behavior recognition on a BI tool. Good read!

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