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Government IT teams can help make information security a shared responsibility through education and preparedness exercises and by leveraging technology. By Joel Snyder.

Engaging with the user in a non-confrontational and cooperative way is key. Rather than making it a “Big Brother is watching you” moment, when IT staff bring users into the event analysis and response, the incident becomes another successful piece of information security training. By gaining an understanding of how the user contracted the viruses, IT teams can adapt training programs and reconfigure security tools. In response, users will understand the real consequences of their actions and be more alert.

An agency’s workers play an essential role in its cybersecurity strategy. As frontline staff, they are perfectly positioned to notice anything unusual going on with IT systems. Government IT teams can take specific steps to foster a culture of information security through education and preparedness exercises and by leveraging technology.

This article then covers:

• Have a broad-spectrum training program
• Agencies should conduct preparedness exercises
• Existing Technology Agencies Can Lean On

Changing user habits and awareness is critical, because the next time around, the desktop anti-malware might not catch the attack.

React Hooks have revolutionized the way we write React components by providing a simpler and more elegant approach to managing state and handling side effects. In this article, we will explore the core hooks in React and dive into custom hooks, advanced hook patterns, and best practices. Let’s get started! By Kingsley Amankwah.

Further in the article:

• Benefits of using Hooks over class components
• Understanding the Core hooks
  • useState hook
  • useContext hook
• Custom Hooks: Reusability and abstraction
• Advanced Hook patterns

By leveraging core hooks like useState, useEffect, and useContext, we can simplify our code and enhance reusability. Additionally, custom hooks and advanced hook patterns like useReducer and useRef provide powerful tools for building complex and optimized components. Nice one!

A recommended setup that addresses the unique concerns of developers, security and DevOps teams. It is common for these roles to lack a unified vision on how they approach API security. Therefore, in this post, I will provide a recommended API security setup that benefits all parties involved. By Gary Archer.

The article pays attention to:

• Token-based architectures
• Development teams
• Security teams
• DevOps teams

Implemented correctly, an OAuth 2.0 token-based architecture provides a complete zero trust solution for APIs. The best solutions require cross-team collaboration to meet the crucial requirements of all DevSecOps roles. Business owners can then deliver digital services with future-facing security. This solution should offer multiple user authentication methods and first-class interoperability with external systems. Good read!

As organizations embrace Kubernetes for their containerized workloads, the need for effective cost optimization becomes paramount. To navigate the complex landscape of cloud-native infrastructure, leveraging efficient tools is key to streamlining FinOps practices and maximizing cost savings. By Seifeddine Rajhi.

The article deals with:

• Introduction to kube-green 🍀
• Introduction to OpenCost by kubecost 💰
• Introduction to Cloud Custodian
• Introduction to Cloudability

In order to maximize the return on investment in cloud adoption, it is crucial to effectively manage Kubernetes costs. Conventional methods of calculating resource consumption and associated expenses often prove insufficient. As organizations progress, they may seek to enhance cost efficiency by utilizing resources strategically. Nice one!

Imagine your computer’s CPU as the engine of a powerful sports car, tirelessly driving it towards your destination. The CPU cache, in this case, acts like the high-octane fuel needed to keep the engine revved up, ensuring smooth and efficient operation. By Faraz Khan.

Positioned strategically between the CPU and main memory, the cache is a critical component in enhancing your computer’s speed and responsiveness. Let’s dive deeper into the world of CPU cache and processors cache to unravel its secrets and understand its significance in optimizing your computer’s speed and responsiveness. Further in teh article:

• What is CPU cache?
• How does CPU cache work?
• The three levels of CPU cache
• How does cache affect CPU performance?
• How to clear CPU cache?

CPU cache plays a vital role in optimizing the performance of computer systems. Understanding its impact and the different levels of cache (L1, L2, and L3) is essential for making informed decisions when choosing processors. Cache enables faster data access, reduces memory latency, and improves instruction fetching, resulting in enhanced CPU performance.

Where is my order? Is the app stuck? Even when everything else in an application is polished, the user experience might be far from delightful if the information on the screen rarely updates. Displaying up-to-date and often updating information on an application view inspires confidence in the quality of the product and the prospect of getting what you ordered. By Tero Laitinen.

our backend services push order tracking and group order state updates through the service consumer-events to consumer clients in addition to notifications. As a result, we can refresh client app views frequently and with low latency. Ensuring satisfying user experiences is our top priority, but our engineers also enjoy reduced server loads due to less polling, enabling us to better serve our rapidly growing user base.

Further in the article:

• Proof of concept: Delivering notifications using Socket.IO
• WebSocket-based state updates
• Client implementation considerations

By starting with a polling architecture, we could focus on core business features while offering an excellent order-tracking user experience. When we had fewer active users, clients could poll the state more often without straining the backend. Now we operate at a scale where relying only on polling is impractical. Maintaining user-specific PUB/SUB connections between a Redis instance and the WebSocket servers scales to many users. As an unexpected dividend of this technology choice, upstream services may use Redis transactions to implement message-triggering logic, for example, to skip duplicates. Good read!

Long before Python 3, and ChatGPT, and TikTok, poor developers had to write their web servers using shudders Python 2 native features. This meant no asynchronous operations. The frameworks that arose from this era proliferated and became cornerstones of web development. There might even be a synchronous Python web server showing you this text right now. But things change, and with Python 3’s native support of asynchronous operations came a new standard - Asynchronous Server Gateway Interface (ASGI). By vidavolta.io.

The article then explains:

• First things first - the synchronous approach
• Asynchronous web servers

Asynchronous web servers are fundamentally different in how they handle requests and concurrency. They will run a main process - essentially a task manager, that schedules requests to be executed. The key distinction here is that tasks will return control to the task manager when they need to wait for asynchronous work - like in the case of an expensive network call.

We explored synchronous and asynchronous Python web servers and showed that for heavily IO/Network bound workloads, the (relatively) newer ASGI compliant web servers can be far more performant than WSGI servers.Interesting read!

With a new Fill-in-the-Middle paradigm, GitHub engineers improved the way GitHub Copilot contextualizes your code. By continuing to develop and test advanced retrieval algorithms, they’re working on making our AI tool even more advanced. By github.blog.

To pull back the curtain, we asked GitHub’s researchers and engineers about the work they’re doing to help GitHub Copilot improve its contextual understanding. Here’s what we discovered:

• From OpenAI’s Codex model to GitHub Copilot
• Why context matters
• How GitHub Copilot understands your code
• Improving semantic understanding

The GitHub product and R&D teams, including GitHub Next, have been collaborating with Microsoft Azure AI-Platform to continue bringing improvements to GitHub Copilot’s contextual understanding. So much of the work that helps GitHub Copilot contextualize your code happens behind the scenes. Interesting read!

OpenStack is no doubt a wonderful and successful piece of software. It allows you to create your own cloud infrastructure, and thanks to its open-source nature, it’s free to use for everyone. By Andre Ruiz.

But as with many giant software projects, all that power comes with a challenge: it is reasonably complex to install and configure. A number of OpenStack distributions do exist that intend to make engineers’ life a lot easier, but those also tend to be more complex than a non-experienced user would like them to be.

Canonical MicroStack is an open source project that enables you to easily deploy a fully-functional OpenStack environment on your workstation or even a virtual machine (VM) in minutes. Even though it was originally designed with testing and development use cases in mind, eliminating the need for dedicated hardware, it is now heading towards its first stable release. This means that it will soon be suitable for production use cases too. To learn more follow the link to full article. Nice one!

Ethereum is the 2nd largest blockchain by market cap behind Bitcoin, and thus the largest smart contract blockchain, so it’s no surprise that Ethereum’s blockchain supports the largest portion of assets locked in DeFi protocols, with about $27b of assets locked. By @ultimate.app.

The article then points at few statistics and observations:

• Ethereum is a model for fair token distribution
• Ethereum is a model for open-source, community driven development
• Now energy efficient via Proof of Stake, Ethereum is the most economically secure blockchain
• The investment case for ETH is linked to the Ethereum blockchain’s usage
• L2 activity has surpassed L1 activity
• Challenges remain around scalability, decentralization, MEV

While Ethereum has made significant progress, challenges remain. The historical lack of staking withdrawals catalyzed the growth of liquid staking, where “winner take all” effects have resulted in almost 30% of all staked ETH within the Lido protocol - not an ideal scenario for decentralization. Ethereum’s blockchain is home to the majority of the DeFi market’s TVL, $100b of stablecoins, and produces tens of millions of dollars in transaction fees every month. For more stats and charts follow the link to the full article. Interesting read!