The hottest Infrastructure Substack posts right now

And their main takeaways
Category
Top Technology Topics

How does Uber build real-time infrastructure to handle petabytes of data every day?

VuTrinh. • 659 implied HN points • 23 Mar 24
🕹 Technology Data Engineering Infrastructure Real-Time Processing Open Source Big Data
  1. Uber handles huge amounts of data by processing real-time information from drivers, riders, and restaurants. This helps them make quick decisions, like adjusting prices based on demand.
  2. They use a mix of open-source tools like Apache Kafka for data streaming and Apache Flink for processing, which allow them to scale their operations smoothly as the business grows.
  3. Uber values data consistency, high availability, and quick response times in their infrastructure. This means they need reliable systems that work well even when they're overloaded with data.

Op-Ed: Is the Stargate AI project bold vision or grand illusion?

philsiarri • 22 implied HN points • 22 Jan 25
🕹 Technology AI Data Centers Investment Infrastructure Regulation
  1. The Stargate AI project has a huge amount of funding, starting at $100 billion and possibly growing to $500 billion. This shows a strong interest in AI technology.
  2. There are a lot of big promises being made about this project, but some people are worried that it might be overhyped and not deliver on its potential.
  3. The project's success will depend on managing many challenges, like building the right infrastructure, getting through regulations, and making sure it benefits everyone.

🌻 E43: ML Deployment is a mess and Simplismart is solving it

Musings on AI • 184 implied HN points • 07 Nov 24
🕹 Technology AI Machine Learning Startups Infrastructure Software Development
  1. Simplismart raised $7 million to improve how machine learning models are deployed, making the process easier and faster.
  2. The company offers a powerful system that helps avoid common problems in deploying AI models at scale.
  3. They provide tools that save businesses time and money while ensuring their AI models run efficiently.

GroupBy #44: Meta | The Data Stack

VuTrinh. • 119 implied HN points • 16 Jul 24
🕹 Technology Data Engineering Infrastructure Data Analytics Software Development Real-Time Processing
  1. Meta uses a complex data warehouse to manage millions of tables and keeps data only as long as it's needed. Data is organized into namespaces for efficient querying.
  2. They built tools like iData for data discovery and Scuba for real-time analytics. These tools help engineers find and analyze data quickly.
  3. Data engineers at Meta develop pipelines mainly with SQL and Python, using internal tools for orchestration and monitoring to ensure everything runs smoothly.

State of the Future! Part Deux

Let Us Face the Future • 714 implied HN points • 22 Oct 24
🕹 Technology AI Semiconductors Data Centers Energy Infrastructure
  1. The future of technology is all about connectivity between different sectors like energy, mining, and semiconductors. It's not just about one area, but how they all work together.
  2. Scaling AI is a big focus, and over the next few years, we'll see major advancements in AI models. These models will require massive amounts of power and new infrastructures to support them.
  3. For AI to be widely accepted, we need to prioritize security, privacy, and fairness. This means creating accessible and trustworthy systems for everyone.
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GroupBy #40: Data Infrastructure at Airbnb

VuTrinh. • 179 implied HN points • 18 Jun 24
🕹 Technology Data Engineering Software Development Infrastructure Open Source Scalability
  1. Airbnb focuses on using open-source tools and contributing back to the community. This helps them build a strong and collaborative data infrastructure.
  2. Their data infrastructure prioritizes scalability and uses specific clusters for different types of jobs. This approach ensures that critical tasks run efficiently without overwhelming the system.
  3. Airbnb has improved their data processing performance significantly, reducing costs while increasing speed. This was achieved through careful planning and migration of their Hadoop clusters.

Offer accepted

Off to Lunch • 687 implied HN points • 07 Feb 24
💼 Business Mergers Infrastructure Media Social media Podcasts
  1. Barratt Developments is acquiring Redrow in a £2.5 billion deal, creating the largest housebuilder in the UK
  2. The all-share deal values Redrow's shares at a 27% premium, with Barratt shareholders owning 67.2% of the new company
  3. The merger expects to save up to £90 million in annual costs and position Redrow as the premium housing brand within the group

Democracy Dies In...Daylight?

Castalia • 379 implied HN points • 13 Apr 24
🇺🇸 U.S. Politics Infrastructure Inequality Government Trust Public Discourse Political corruption
  1. The American infrastructure is falling apart and needs serious repairs. It's frustrating that other countries can build modern systems while the U.S. struggles.
  2. Trust in the government has been damaged, especially due to the recent political climate. This affects how people view leadership and policy.
  3. Inequality is rising in the U.S. despite the idea that anyone can achieve success. There’s a need for change to address wealth gaps and improve people's lives.

Mini Exasperation #3

Exasperated Infrastructures • 14 implied HN points • 31 Jan 25
🇺🇸 U.S. Politics Government Policy Transportation Infrastructure Political Commentary Public Administration
  1. The government needs to rethink how it manages construction and infrastructure projects, possibly shifting oversight to agencies like the Department of Defense for better efficiency.
  2. We should consider changing the Department of Transportation to a Department of Mobility to reflect current needs and focus on how people move rather than just transportation modes.
  3. There’s a call to rethink funding approaches, possibly allowing states more control over their infrastructure budgets, which could help create discussions about the importance of federal support for these projects.

OpenAI Acquired Rockset

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 59 implied HN points • 31 Jul 24
🕹 Technology AI Data Analytics Infrastructure Applications
  1. OpenAI bought Rockset to make their data retrieval system better, which helps in using AI more effectively.
  2. The acquisition shows that LLMs are being seen more like a tool, and the focus is shifting to building useful applications using these technologies.
  3. Rockset's technology will help OpenAI work better with developers and make it easier to access and use real-time data for AI products.

Don't grab the brass ring, grab the copper pipe

Sunday Letters • 59 implied HN points • 28 Jul 24
🕹 Technology AI Internet Development Infrastructure UX
  1. Focus on building the essential tools and infrastructure first. These are often overlooked but are crucial for long-term success.
  2. Reaching for groundbreaking goals is important, but make sure the technology is ready. Many ideas are great, but timing matters.
  3. While big ideas attract attention, don't forget about solving smaller, tougher problems that can support those ideas. Both are important for progress.

Vesuvius Challenge is hiring!

Vesuvius Challenge • 9 implied HN points • 21 Jan 25
🕹 Technology Computer Vision Data science Software Engineering Machine Learning Infrastructure
  1. The Vesuvius Challenge is looking for team members to help recover texts from ancient scrolls. They need people for two key roles: research in computer vision and platform engineering.
  2. The computer vision role focuses on using advanced tech to read the scrolls, which involves solving complex problems with CT scan data.
  3. The platform engineering role is about creating tools and systems to manage and share large datasets, making research easier for the community.

US: AWS to invest $11 billion in Georgia for data center expansion

philsiarri • 22 implied HN points • 08 Jan 25
💼 Business Investment Technology Economy Employment Infrastructure
  1. AWS plans to spend $11 billion to expand data centers in Georgia. This will help support cloud computing and AI technologies.
  2. The investment is expected to create around 550 jobs. Georgia is popular for data centers because of its low electricity costs and tax incentives.
  3. Local people are concerned about the effects of new data centers on housing and electricity needs, leading to some restrictions on where they can be built.

GroupBy #41: Uber’s Batch Data Infrastructure with Google Cloud Platform

VuTrinh. • 99 implied HN points • 25 Jun 24
🕹 Technology Data Engineering Cloud Computing Machine Learning Infrastructure Analytics
  1. Uber is moving its huge amount of data to Google Cloud to keep up with its growth. They want a smooth transition that won't disrupt current users.
  2. They are using existing technologies to make sure the change is easy. This includes tools that will help keep data safe and accessible during the move.
  3. Managing costs is a big concern for Uber. They plan to track and control spending carefully as they switch to cloud services.

Will Trump derail America’s high-speed rail plans?

Urben Field Notes • 97 implied HN points • 08 Nov 24
🇺🇸 U.S. Politics Transportation Policy Infrastructure Political Analysis
  1. High-speed rail projects in the U.S. are gaining traction, especially in red states, which could change the support they receive from future administrations.
  2. Former President Trump may not prioritize high-speed rail development like Biden did, but the growing popularity of public-private rail projects might appeal to him.
  3. New high-speed rail proposals are emerging, such as those connecting Atlanta and Charlotte, which may succeed if they find private sector backing and support from key political figures.

OpenAI is too cheap to beat (redux)

The AI Frontier • 59 implied HN points • 18 Jul 24
🕹 Technology AI Infrastructure Data Economics Scalability
  1. Data and infrastructure are really important for companies like OpenAI. They collect a lot of data, which helps them improve their models faster than others.
  2. OpenAI is cheaper for fine-tuning models compared to using your own infrastructure. This means most companies will find it more cost-effective to use OpenAI's services instead of trying to run their own setups.
  3. Even though open-source models have potential, big companies will likely stay ahead due to their ability to serve models quickly and cheaply. Switching to a different system is hard and expensive, making it tough for smaller players.

Walking the Netherlands: From Amsterdam to The Hague

Chris Arnade Walks the World • 771 implied HN points • 14 Mar 24
🏝 Travel Adventure Transportation Sustainability Culture Infrastructure
  1. The Dutch culture emphasizes good citizenship, seen in how they are thoughtful, friendly, and helpful to strangers.
  2. The Netherlands is clean and functional due to being a high-trust society, which allows for nice things without fear of them being misused.
  3. Placing a focus on pedestrians and cyclists over cars has made Dutch cities more livable and charming, contrasting with the struggles in the US.

If I could travel back to 5 years ago, what would I talk to myself about Docker?

VuTrinh. • 299 implied HN points • 09 Mar 24
🕹 Technology Software Development Engineering Infrastructure Cloud
  1. Docker helps you package your applications and everything they need into containers. This makes it easier to deploy and run your apps anywhere.
  2. Containers are lighter than virtual machines because they share the host's operating system, saving resources and simplifying management.
  3. To get started with Docker, install it, then run a simple command to create your first container, like 'docker run hello-world' - it’s that straightforward!

GroupBy #36: Agoda- How We Solve Load Balancing Challenges in Apache Kafka, How to reduce your Snowflake cost

VuTrinh. • 139 implied HN points • 21 May 24
🕹 Technology Data Engineering Software Development Cloud Computing Infrastructure Cost Optimization
  1. Working on pet projects is fun, but it's important to have clear learning goals to actually gain knowledge from them.
  2. When using tools like Spark or Airflow, always ask what problem they solve to understand their value better.
  3. To make your projects more effective, think like a user and check if they get what they need from your data systems.

The Sinking Cities Edition

Why is this interesting? • 1749 implied HN points • 18 May 23
🌞 Climate & Environment Geography Infrastructure Urbanization Politics Sustainability
  1. Mexico City and Jakarta are sinking due to various factors like draining lakes and illegal wells
  2. Indonesia's plan to move its capital to Borneo from Jakarta is ambitious but faces challenges like corruption and cultural differences
  3. The sinking of these cities raises environmental and social concerns that need to be addressed

Latest from AI Roller Coaster: Disruptive Nausea

Day Zero: Always Learning • 85 implied HN points • 21 Oct 24
🕹 Technology AI Startups Infrastructure Investment Workforce Business Models
  1. AI infrastructure is getting super crowded and costs are rising, which may lead to a shake-up in who leads this space. Companies need to find new angles to succeed, like offering something unique or targeting a niche.
  2. AI observability is a hot trend right now, with many startups focusing on helping businesses check if their AI models are really working. Measuring success with AI tools is still a big challenge that needs to be figured out.
  3. The way companies operate is going to change a lot because of AI, creating a mix of specialized skills and generalist abilities. Traditional roles may get transformed or even replaced as companies rethink how they do business.

Bad Weather Isn't Enough To Make Power Companies Bury Their Lines. So What Is?

North Carolina Rabbit Hole • 353 implied HN points • 09 Jan 24
💾 History Infrastructure Public Relations Urbanization Technology Environmentalism
  1. Power companies find burying overhead lines too expensive compared to overhead lines.
  2. New developments in North Carolina are opting to bury power lines during construction.
  3. Historically, power companies moved lines underground to enhance urban aesthetics and meet rising electricity demands.

Mini Exasperation #2

Exasperated Infrastructures • 9 implied HN points • 24 Jan 25
🇺🇸 U.S. Politics Executive orders Federal Government Policy Changes Infrastructure
  1. Executive Orders can change policies quickly in the government, but they often create a lot of confusion and uncertainty, especially about funding for projects.
  2. There's a worry that some people in power want to create chaos in our systems so they can privatize everything and take away public benefits.
  3. To help improve our communities, we must focus on mutual aid, sustainable systems, and protecting our institutions from harmful changes.

The Pace of Change Depends on Your Gaze

Cybernetic Forests • 179 implied HN points • 24 Mar 24
🕹 Technology AI Commerce Infrastructure Governance Culture
  1. The speed of technological change is determined by where we focus our attention. Slowing down to understand the structures in place is key.
  2. AI hype often moves at the pace of fashion, while AI infrastructure evolves slowly. It's important to differentiate between new trends and substantial advancements.
  3. Governance, infrastructure, and culture play crucial roles in shaping AI's future. Participating in shaping these aspects can have a significant impact on the development and use of AI.

Winter Comes For the North

Vietnam Weekly • 235 implied HN points • 25 Jan 24
📰 News Weather Health Infrastructure Politics
  1. Northern Vietnam experienced its strongest cold front in nearly a decade, impacting communities without proper heating infrastructure.
  2. Speculation about the health of top leaders in Vietnam, like General Secretary Nguyễn Phú Trọng, can cause uncertainty until confirmed news is provided.
  3. Infrastructure projects like airport expansions are underway in Vietnam, with notable progress but challenges in transit link development.

Odds and Ends #31: Britain's new AI supercomputer is a shipping container in a car park

Odds and Ends of History • 603 implied HN points • 09 Mar 24
🕹 Technology AI Podcast Infrastructure
  1. Britain's new AI supercomputer, Isambard AI, is housed in a shipping container in a car park to boost the country's AI capabilities.
  2. London Mayoral and West Yorkshire Mayoral candidates support liberating the Postcode Address File, encouraging small business innovation.
  3. The National Underground Asset Register aims to map underground infrastructure to enhance safety and reduce accidental damage.

How Did Blocking Stuff Become Left-Coded?

I Might Be Wrong • 14 implied HN points • 03 Jan 25
🇺🇸 U.S. Politics Urban planning Housing policy Political Commentary Social Issues Infrastructure
  1. Many people feel frustrated with the slow processes that delay housing and infrastructure projects. They want things to move faster so that communities can improve.
  2. There's a concern that building new housing might change the character of some neighborhoods. People worry about gentrification and displacing existing residents.
  3. More housing could help make neglected areas more livable. It could also lower rents and improve safety instead of letting decay continue in those neighborhoods.

Permissions, AI, and Plato’s Ideal API

Permit.io’s Substack • 79 implied HN points • 09 May 24
🕹 Technology APIs AI Security Development Authorization Infrastructure
  1. APIs are now seen more as tools that users consume rather than just things developers create. This shift means we have to think about how APIs are used and managed from both ends.
  2. As APIs are used more, especially with AI, monitoring costs and handling errors are super important. Developers need to be careful about how many calls they make to avoid big bills and errors.
  3. The way we set permissions and handle security for APIs is changing. It's crucial to apply consistent security rules across all parts of an application, not just in isolated areas.

The Tech Buffet #20: How To deploy a Cloud Function That Summarizes Youtube Videos

The Tech Buffet • 139 implied HN points • 11 Mar 24
🕹 Technology Cloud Computing Machine Learning DevOps Serverless Infrastructure
  1. Cloud Functions are a serverless way to run your code on Google Cloud without managing servers. You pay only for what you use, making it cost-effective.
  2. You can build a Cloud Function to summarize YouTube videos by extracting their transcripts and using AI to create concise summaries. This is done using Python libraries like youtube-transcript-api and langchain.
  3. Testing your Cloud Function locally is a great way to ensure it works before deploying it. You can use tools like Postman to check the API responses easily.

The AI 'arms race' fallacy

Platforms, AI, and the Economics of BigTech • 4 implied HN points • 04 Feb 25
🕹 Technology AI Globalization Economics Infrastructure Standards
  1. The AI race isn't just about who has the best technology. It's more about how countries are reshaping global trade and their economic rules through tech exports.
  2. Countries like the US and China are not only building powerful AI but are also influencing how other nations build their own infrastructure based on their standards.
  3. Europe risks falling behind by trying to regulate technology instead of actively shaping it. If it doesn't adapt, it might just follow the rules set by others.

A road conundrum in Ballantyne

The Charlotte Ledger • 176 implied HN points • 01 Feb 24
📰 News Transportation Infrastructure Urban planning
  1. Traffic on U.S. 521 in Ballantyne is increasing, and transportation planners are exploring complex solutions like new intersections and even a possible tunnel.
  2. The widening of U.S. 521 is facing challenges due to rapid area growth, making it trickier and more costly to find effective traffic solutions.
  3. State officials are considering various comprehensive solutions, such as flyover intersections or tunnels, to accommodate the expected increase in traffic volumes in the future.

📽 Webinar: How Convirza Scaled SLMs for Real-Time Call Analytics – Without Breaking the Bank

TheSequence • 126 implied HN points • 15 Nov 24
🕹 Technology AI Analytics Webinars Infrastructure Scalability
  1. Convirza found a way to analyze call data quickly and affordably. They combined many tools into one setup, making everything run smoother.
  2. Their response time for customers is now under two seconds, even when many people are using the service. This helps workers get the info they need fast.
  3. By switching to a new system, they reduced costs a lot. They no longer need expensive machines for each task, which keeps their expenses low while still providing accurate results.