Technology Commentary

Slides on meta-framework for designing software architecture, like thinking about constraints, evaluating the architecture, etc.

Event-Driven by Oskar Dudycz

Live database migrations are developers' heart surgeries – and ours sure felt like it.

The CRA may kill Open Source. But what if I told you that there is a way to not only save FOSS, but fund it, while still improving cybersecurity, would you believe me?

While there are many benefits to using Tailwind, it also comes with unique challenges when scaling. Luckily, there are solutions to this.

Some mistakes feel worse than death.

Whether containers are new to your business or you're just getting to grips with the complexities of securing them, here are some tips for either starting or developing your container security journey.

As the host of this podcast, I had the pleasure of engaging in a fascinating discussion with our special guest, David Stengel, an IT professional with a unique perspective on the cognitive load of platforms in organizations. The Concept of Cognitive Load in Platforms Our conversation began with an exploration of the concept of cognitive load in relation to platforms. David, despite being an IT professional and not a psychiatrist, brought an intriguing perspective to the table. He emphasized how platforms, such as VMware, Kubernetes, and Cloud Foundry, are designed to remove effort from users, making it easier for them to build and accomplish tasks. However, he pointed out that while everyone is focused on making the developer experience easy, they often overlook the impact of cognitive load on the entire organization. This cognitive load, or mental workload, encompasses the challenges of getting tasks done. The Purpose of Platforms in IT We then shifted our discussion to the purpose of platforms in IT, which is to reduce the cognitive burden and allow humans to focus on the business problem rather than the underlying technology. As platforms become more complex, it becomes impossible for developers to be conscious of every technical detail. The goal is to abstract away the complexity and allow developers to focus on their tasks. I added that while it's important to learn the basics, when working, developers should not actively think about them unless it's necessary. We concluded this part of our discussion by emphasizing the importance of finding platforms that are appropriate for the organization's capabilities and needs. Managing Complexity in Platforms Our conversation then moved to the concept of managing complexity in platforms. We highlighted that building a platform does not eliminate complexity, but rather manages it for a specific consumption of services. We drew parallels between the simplification of hardware infrastructure with the introduction of VMware for virtualization and the restricted choices in microservices with containers and immutable infrastructure. We also touched on the shift in responsibility from IT groups to developers in terms of managing platforms. We discussed how the level of support and access to abstractions can vary depending on the organization. We mentioned the cognitive load involved in load balancing and how the cost of elastic load balancing in AWS has become a significant expense for customers. Practical Implications of Understanding Cognitive Load We explored the practical implications of understanding cognitive load in platforms. We suggested evaluating the effectiveness of the platform and its usability by considering the activities and mental workload required for different tasks. We emphasized the importance of treating platforms as businesses with customers and gathering feedback to improve the user experience. We concluded our conversation with a mention of the potential role of AI in analyzing and optimizing cognitive load. We discussed the possibility of automating data collection and analysis to identify areas where time and effort are being spent and make informed decisions about platform usage and optimization. Cognitive Load and Its Impact on Problem-Solving and Decision-Making Our conversation revolved around the concept of cognitive load and its impact on problem-solving and decision-making. We discussed how technology has evolved over the years, making it easier to analyze data and observe behaviors to optimize processes. However, we emphasized the importance of considering the subjective experience of individuals in the organization and understanding their feelings towards their work. The Balance Between Experience and Innovation We shifted to the balance between experience and innovation, with David mentioning the danger of engineers sticking to outdated solutions. We also discussed the importance of distributing cognitive load within a team and the concept of psychological capital, which includes personal efficacy and belief in one's ability to get things done. Wrapping Up As we wrapped up our discussion, we thanked David Stengel for contributing to the conversation about cognitive load and IT architecture. We encouraged listeners to provide feedback and suggest topics they would like to hear more about. We also invited listeners to join the community at packetpushers.net to engage in discussions with other professionals. We concluded the episode with a reminder to check out the other technology content available on the Packet Pushers network and to sign up for the community at community.thenetworkcollective.com. We expressed our gratitude for the listeners' support and announced that the next episode will be released in a couple of weeks. In conclusion, our conversation with David Stengel provided valuable insights into the cognitive load of platforms in organizations. It highlighted the importance of understanding and managing this cognitive load to improve the effectiveness and usability of platforms. It also emphasized the need for organizations to consider the subjective experience of individuals and the balance between experience and innovation in managing cognitive load.

There are a lot of theories out there as to why obesity rates have been increasing in the West over the past forty years.  One of the most convincing and well-vetted was formulated by two scientists — David Raubenheimer and Stephen Simpson — in the early 2000s. Their idea potentially explains why obesity levels have […]

Making CI/CD pipelines observable improves troubleshooting, development agility and efficiency.

Data fabrics—AI-based data management designed for federated environments—are the connective tissue between data, infrastructure, and software.

Enterprises see the potential for AI to benefit network management, but progress so far is limited by AI’s ability to work with company-specific network data and the range of devices that AI can see.

To truly deliver a secure and integrated experience, network and security can no longer be on the periphery to one another, they must be delivered as a fully integrated solution where security isn’t bolted onto the network, it’s fully integrated into it.

DoorDash’s consumer iOS team manages the complexities of release management at scale.

DoorDash builds an internal ML Workbench by taking a user-centered approach to solve for productivity and velocity of our Data, ML, AI teams.

Is Bill Gates right about Agent AI? Customer Futures weighs in on his recent landmark essay about the future of digital customer engagement. What is he right about, and what is he missing?

Book notes on "Wiring the Winning Organization" by Gene Kim and Steven K. Spear

Can you imagine a world where software lives unencumbered from the artificial limits we've created? One where applications work seamlesly with one another, and silos become a thing of the past. I can, and this is what it looks like.

Of those organizations that have “gone cloud native,” 95% said that challenges are keeping them from seeing the full benefits, in a new survey by Foundry for UST.

Scale has become as important a factor as networking, storage, security and data itself.

Data access governance and security solution plugs directly into advanced machine learning libraries to govern language model interactions.

"And the winner is..."

What happened after my wife and I removed Wi-Fi from our home

In the documentation for an implementation of Pascal for a Soviet computer, I've encountered a very weird language extension. I'll try to translate it: Branching operator (branch) Syntax ...