The hottest Cloud Computing Substack posts right now

And their main takeaways
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Top Technology Topics

Segregate resources and good hygiene between AWS accounts

Thoughts from the trenches in FAANG + Indie • 0 implied HN points • 06 Jun 23
🕹 Technology Cloud Computing
  1. Using different AWS accounts for each project helps keep resources separate and makes billing easier. This way, it's simple to track costs for each project.
  2. Having separate accounts reduces confusion and complexity for engineers. It keeps projects organized, making it easier to find the resources they need and limits mistakes.
  3. Segregated accounts also improve security, as a problem in one account won't affect others. This protects against errors and minimizes potential damage from mismanaged access.

DLD #1 | Data Landscape Digest 🗞️

Practical Data Engineering Substack • 0 implied HN points • 25 Aug 24
🕹 Technology Cloud Computing
  1. Data engineering is evolving rapidly, and staying updated on new tools and technologies is important for success in the field.
  2. Mastering the fundamentals, like SQL and Python, is crucial as they form the foundation for using advanced tools effectively.
  3. Open source solutions, like Apache Hudi and XTable, are gaining popularity and can provide great benefits for managing data efficiently.

Managing Dependencies Between Data Pipelines

Practical Data Engineering Substack • 0 implied HN points • 26 Aug 23
🕹 Technology Cloud Computing
  1. Managing dependencies between data pipelines is crucial for ensuring that upstream tasks are completed before downstream tasks start. This avoids issues with incomplete or faulty data.
  2. There are different techniques to manage these dependencies, ranging from simple time-based scheduling to more complex orchestrations that adjust based on the successful completion of previous tasks.
  3. Choosing the right method for managing pipeline dependencies depends on the complexity of the data workflows and the need for independence between different teams and tasks.

Internal Storage Design of Modern Key-value Database Engines [Part 2]

Practical Data Engineering Substack • 0 implied HN points • 09 Aug 23
🕹 Technology Cloud Computing
  1. Sorted Segment files, or SSTables, help databases manage data more efficiently by keeping key-value records in order. This sorting makes searching and accessing data faster.
  2. In-memory storage, called Memtables, acts like a buffer that groups new data before it's saved to disk. This keeps data organized and speeds up how quickly new information can be written.
  3. Using a structure called the LSM-Tree helps optimize how databases write and read data. It focuses on reducing the time and effort it takes to handle a lot of updates and inserts, which is common in many apps.

Range Partitioning: Zero to One

aspiring.dev • 0 implied HN points • 17 Mar 24
🕹 Technology Cloud Computing
  1. Range partitioning splits data into key ranges to improve performance and scalability. This method helps databases manage heavy loads by distributing data efficiently.
  2. Unlike hash partitioning, range partitioning allows for easier scaling. You can adjust the number of ranges as needed without the hassle of rewriting data.
  3. While range partitioning is powerful, it can be tricky to implement and may struggle with very sequential workloads. Planning is necessary to avoid creating performance hotspots.
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How To Build AWS-Compatible APIs: AWS Sigv4

aspiring.dev • 0 implied HN points • 01 Mar 24
🕹 Technology Cloud Computing
  1. AWS Sigv4 is a way to authenticate requests when using AWS services. It works by signing requests with your Access Key ID and Secret Access Key, similar to RSA keys.
  2. You can create your own AWS-compatible APIs by implementing signature verification in middleware. This allows your API to mimic AWS services like S3 or DynamoDB.
  3. Building these APIs can be a good idea for startups. You can create custom services that interact with AWS or even replace AWS services entirely while maintaining compatibility.

Building a Fly.io-like Scheduler Part 2: Resource Requirements and Multi-Region

aspiring.dev • 0 implied HN points • 26 Feb 23
🕹 Technology Cloud Computing
  1. We can make scheduler systems smarter by adding task requirements like region and resource slots. This means a worker can only take on a task if it has the right resources available.
  2. Workers compare the incoming requests against their available resources. If they can't meet the requirements, they simply ignore the task instead of taking it.
  3. The system can be expanded to include more detailed requirements in the future, such as specific CPU types or GPU support, making it adaptable to different tasks and workloads.

Building a Fly.io-like Scheduler Part 1: Basic Coordinator and Workers

aspiring.dev • 0 implied HN points • 23 Feb 23
🕹 Technology Cloud Computing
  1. Fly.io uses synchronous scheduling, meaning you either get a compute resource when you ask for it or you don't. This makes it simpler to handle workloads like serverless functions.
  2. The scheduler's design allows workers to manage their own availability, removing the need for a separate database. This lets workers freely join or leave the system without issues.
  3. In this system, a coordinator requests and schedules tasks on available worker nodes. The first worker to respond gets the task, making it efficient for various jobs like running Docker containers or AI inference.

Cybersecurity Insights: July Bulletin

Vigilainte Newsletter • 0 implied HN points • 08 Aug 24
🕹 Technology Cloud Computing
  1. DDoS attacks are getting stronger, as shown by a major one that took down Microsoft's Azure cloud. This means companies need better protections to keep their services running.
  2. Many companies are facing vulnerabilities, like a default password issue from Acronis that attackers can exploit. It's really important for everyone to manage their passwords securely.
  3. Cybercriminals are using sophisticated methods like fake ads and Generative AI to spread malware and steal data. We all need to be careful when clicking online and keep our software updated.

[In case you missed it] Data Science Weekly - Issue 454

Data Science Weekly Newsletter • 0 implied HN points • 07 Aug 22
🕹 Technology Cloud Computing
  1. NASA is using AI to categorize millions of astronaut photos of Earth, making it easier for scientists to find specific images.
  2. Data-driven companies can have a competitive edge, especially in industries where expertise and speed matter.
  3. Understanding and explaining complex models is important for making ethical and business decisions before automating processes.

[in case you missed it] Data Science Weekly - Issue 396

Data Science Weekly Newsletter • 0 implied HN points • 27 Jun 21
🕹 Technology Cloud Computing
  1. Understanding hype cycles can help us see how technology develops over time. It's interesting to look back at these cycles to learn from past trends.
  2. Multi-task learning is beneficial as it allows machines to make multiple predictions. This can lead to more effective and efficient models.
  3. AI struggles with understanding basic concepts like 'same' and 'different.' This limitation raises questions about how truly intelligent AI can become.

[in case you missed it] Data Science Weekly - Issue 313

Data Science Weekly Newsletter • 0 implied HN points • 23 Nov 19
🕹 Technology Cloud Computing
  1. Google Cloud is improving AI transparency by explaining how data influences machine learning decisions. This helps companies understand AI outputs better.
  2. Sony is launching a new AI division to compete with big players like Google and Facebook for talent and projects. This shows that the AI race is heating up.
  3. It's important to differentiate between real AI and fake claims. Many products marketed as AI may not actually work as promised, so being cautious is key.

GroupBy #24: Enabling near real-time data analytics on the data lake at Grab, Aligning Velox and Apache Arrow at Meta.

VuTrinh. • 0 implied HN points • 27 Feb 24
🕹 Technology Cloud Computing
  1. Grab is working on letting users analyze data quickly with their new approach to data lakes. This helps businesses get insights much faster.
  2. Meta is aligning Velox and Apache Arrow to improve data management. This should make it easier to handle and analyze large amounts of data.
  3. PayPal is using Spark 3 and NVIDIA's GPUs to cut their cloud costs by up to 70%. This helps them process a lot of data without spending too much money.

GroupBy #19: How Apple built iCloud to store billions of databases, Palette-Uber feature store, Definition of Data Modeling

VuTrinh. • 0 implied HN points • 23 Jan 24
🕹 Technology Cloud Computing
  1. Apple uses special databases like Cassandra and FoundationDB to manage iCloud's huge storage system. This helps them keep track of billions of databases effectively.
  2. Uber created a feature store called Palette that helps in managing data for machine learning projects. It collects and organizes useful features for easy access by developers.
  3. Data modeling is a key concept that defines how data is organized and related in a system. Different experts might have varying definitions, showing the complexity of the topic.

GroupBy #11: Python at Meta, Netflix Incremental Processing with Apache Iceberg, 2023 AI year in brief

VuTrinh. • 0 implied HN points • 28 Nov 23
🕹 Technology Cloud Computing
  1. Meta is working on improving how developers use Python, making it smoother with better tools like a new linter.
  2. Netflix has built a system for processing data incrementally using Apache Iceberg, which helps manage and update data efficiently.
  3. There are free courses available from Microsoft and Google Cloud that teach the basics of Generative AI, helping anyone to get started in this exciting field.

GroupBy #4: Polars and Pandas, 1.8 trillion events, data quality

VuTrinh. • 0 implied HN points • 10 Oct 23
🕹 Technology Cloud Computing
  1. Polars and Pandas are tools for data processing, but they have different performance levels. Understanding when to use each can help manage large datasets better.
  2. Data quality is crucial for successful data engineering. Companies like Google and Uber have strategies in place to ensure their data is accurate and reliable.
  3. Learning SQL execution order can really help in data tasks. It outlines the steps SQL takes to process a query, which is key for optimizing database interactions.

GroupBy #3

VuTrinh. • 0 implied HN points • 22 Sep 23
🕹 Technology Cloud Computing
  1. Docker commands can be simplified with a cheat sheet, making it easier for developers to use container technologies effectively.
  2. Apache Spark was created at UC Berkeley to improve cluster computing, focusing on faster interactive computations than previous systems like Hadoop.
  3. There are key differences between HDFS and S3, especially in how they handle data, and many people confuse them even though they serve different purposes.

GroupBy #2

VuTrinh. • 0 implied HN points • 15 Sep 23
🕹 Technology Cloud Computing
  1. The Lakehouse concept combines the best features of data lakes and data warehouses. It's a new way to manage and analyze data effectively.
  2. Good data quality is essential for making AI work. If the data is bad, the results will also be poor.
  3. AI tools might help data teams work more efficiently, but they won't reduce the demand for data professionals. In fact, they might increase it.

Fail Safe, Fail Smart… Succeed! (Part 3 of 3)

It Depends / Nimble Autonomy • 0 implied HN points • 30 Jul 24
🕹 Technology Cloud Computing
  1. It's important to expect failure in technology work. Today, we design systems with the understanding that things can go wrong at any moment.
  2. Building small, separate services helps manage problems better. If one part fails, it doesn't ruin the whole system, making the user experience smoother.
  3. Learning from failures is key to improvement. When mistakes happen, analyzing them without blame leads to better results in the future.

Mastering Helm from Scratch: Part 0 – Getting Started with Your Helm Journey

Curious Devs Corner • 0 implied HN points • 01 Oct 24
🕹 Technology Cloud Computing
  1. You will learn how to use Helm, which helps manage applications in Kubernetes. The course starts with the basics and builds up to more advanced topics.
  2. This course is great for anyone interested in cloud technologies, especially developers and system admins. You don't need to be an expert, but some basic Kubernetes knowledge is helpful.
  3. Hands-on exercises are included to make learning practical and fun. There's also a bonus workbook and quiz to reinforce what you learn.

Streamlining Notification Processing with Kafka, MinIO, and Python

Curious Devs Corner • 0 implied HN points • 16 Jul 24
🕹 Technology Cloud Computing
  1. You can streamline your application's notification processing by using Kafka and MinIO together. This combination helps in managing event-driven communications effectively.
  2. Setting up a local development environment with Docker is a great way to get started. You can easily configure MinIO to send notifications through Kafka with just a few settings.
  3. Kafka acts as the central hub by consuming event data from MinIO, while Zookeeper helps track everything in the Kafka cluster. This setup keeps your notifications organized and properly managed.

Curious Devs Corner

Curious Devs Corner • 0 implied HN points • 07 Jul 24
🕹 Technology Cloud Computing
  1. Curious Devs Corner is a publication for IT professionals looking to learn more about technology. It covers various topics like Spring Boot, Cloud, and AI to help developers grow their skills.
  2. The publication offers easy-to-follow tutorials and hands-on experiences. This makes it a great resource for those who enjoy practical learning when exploring new technologies.
  3. It's designed especially for developers who are curious and want to stay updated on the latest trends in the tech world. This could be a valuable tool for anyone wanting to advance their knowledge.

HN blogs - 30/10/24

HackerNews blogs newsletter • 0 implied HN points • 30 Oct 24
🕹 Technology Cloud Computing
  1. Upgrading tech can be simpler than it seems. One person managed to upgrade their project from Rails 7 to Rails 8 in just 30 minutes.
  2. Project management practices like Scrum can be improved. It's possible to adopt better methods that actually make the process easier for everyone involved.
  3. There are many useful tools and techniques in web development. Learning about things like PostgreSQL pagination or certificate authentication can really enhance your skills.

HN blogs - 15/10/24

HackerNews blogs newsletter • 0 implied HN points • 15 Oct 24
🕹 Technology Cloud Computing
  1. Trust takes time to build and can be easily lost. It’s important to focus on long-term relationships.
  2. Switching password managers can be tricky, so it's better to take your time during the process.
  3. The CAP theorem helps understand how to balance consistency, availability, and partition tolerance in distributed databases.

Mastering Apache Spark Performance: A Data Engineer's Guide to Optimization

DataSketch’s Substack • 0 implied HN points • 14 Oct 24
🕹 Technology Cloud Computing
  1. Properly configuring resources in Spark is really important. Make sure you adjust settings like memory and cores to fit your cluster's total resources.
  2. Good data partitioning helps Spark job performance a lot. For example, repartitioning your data based on a relevant column can lead to faster processing times.
  3. Using broadcast joins can save time and reduce workload. When joining smaller tables, broadcasting can make the process much quicker.

Data Replication 101: Strategies for Performance, Availability, and DR

DataSketch’s Substack • 0 implied HN points • 21 Feb 24
🕹 Technology Cloud Computing
  1. Data replication creates multiple copies of data to ensure it is always available and resilient against failures. This means if one server goes down, others can still keep running smoothly.
  2. There are different strategies for data replication like master-slave and multi-master setups. Each one has its own benefits, especially when it comes to how they handle read and write operations.
  3. Monitoring and tuning your replication setup is essential. By keeping an eye on performance and any issues, businesses can make sure their data systems run efficiently and reliably.

Is dbt Labs cannibalizing the modern data stack with dbt Cloud?

clkao@substack • 0 implied HN points • 18 Oct 24
🕹 Technology Cloud Computing
  1. dbt Labs is expanding its features to create a more unified data platform. This means users won’t need multiple tools since dbt can handle many basic data needs.
  2. Applying software development practices to data workflows can be tricky. The way we test data is different, and adopting these practices hasn’t been easy for everyone.
  3. Recce is designed to improve the software development workflow for data. It helps users validate changes easily and ensures everyone understands what correctness means in the data context.

TTW Extra #2: All Kubernetes conference talks from 2023 ordered by the number of views

Tech Talks Weekly • 0 implied HN points • 06 Mar 24
🕹 Technology Cloud Computing
  1. In 2023, over 550 Kubernetes conference talks were shared, focusing on various trends like GitOps and cluster security. These talks gave a broad view of the current Kubernetes landscape and its applications.
  2. Some of the most viewed talks include topics like Kubernetes software rollouts and scaling workloads, with thousands of views showing strong interest in practical, actionable content.
  3. Kubernetes continues to evolve rapidly, with new tools and practices emerging to improve developer experience, security, and resource management in cloud environments.

GCP Setup for Organizations

Vasu’s Newsletter • 0 implied HN points • 01 Nov 24
🕹 Technology Cloud Computing
  1. To set up Google Cloud Platform (GCP) for a company, you first need to create an organization. You can do this by signing up with either Google Workspace or Cloud Identity.
  2. After creating the organization, the next step is to create users and groups. This is done through the admin console using your admin account.
  3. Once users are set up, you can create projects and manage permissions. This allows different users to have specific access, like creating storage buckets, based on their roles.

Amazon doubles down on Anthropic

The PhilaVerse • 0 implied HN points • 28 Nov 24
🕹 Technology Cloud Computing
  1. Amazon is investing an extra $4 billion in Anthropic, making their total investment $8 billion. This shows how serious Amazon is about developing AI technology.
  2. Anthropic will now use Amazon's cloud services as their main platform for training AI models. This partnership aims to make AI models more powerful and secure.
  3. Anthropic's AI models, like Claude 3.5, are popular in various industries for different tasks, including customer service and drug discovery. Many companies are already using these advanced tools.

Thoughts on Oddly Specific Versioning in Observability

A Small, Good Thing • 0 implied HN points • 30 Dec 24
🕹 Technology Cloud Computing
  1. Many people just want basic monitoring tools that are easy to use and affordable. They care more about practical solutions than getting into complex observability concepts.
  2. There's a balance between reliability, shipping speed, and team well-being that needs to be carefully managed. It's important not to sacrifice too much reliability just to be fast.
  3. The focus should be on delivering a cost-effective way to monitor systems, rather than just aiming for the latest version of observability. It's essential to figure out who will handle the work involved.

An Interview With Emre Baran

ciamweekly • 0 implied HN points • 06 Jan 25
🕹 Technology Cloud Computing
  1. Cerbos helps businesses manage user permissions easily by integrating with identity providers. This way, developers can focus more on building features instead of getting stuck on access management.
  2. A lot of companies still build their own authorization systems, which can be messy and hard to update. When they need to completely rebuild, it can be a huge challenge.
  3. The future of customer identity and access management looks bright as more businesses will start using external authorization solutions like Cerbos. This separation will make their systems more flexible and easier to manage.

Powerful Features in Google Docs

Kartick’s Blog • 0 implied HN points • 15 Jan 25
🕹 Technology Cloud Computing
  1. Google Docs now has tabs for better document organization. You can store extra information like appendices in separate tabs to keep your main document focused.
  2. You can easily collapse or expand headings in your document. This helps keep everything neat and allows you to focus on specific sections without distractions.
  3. There are new features like inserting drawings, dropdowns for tasks, and smart chips to link to events. These tools make it easier to manage and visualize your content.

Why Adaptive Orchestration is the Missing Piece in AI Security

Phoenix Substack • 0 implied HN points • 21 Jan 25
🕹 Technology Cloud Computing
  1. Static security tools are not enough anymore. Modern cyber threats are too advanced, so we need better ways to protect AI systems.
  2. Adaptive containers can help by changing and fixing themselves automatically. This makes it harder for attackers to take control.
  3. Using adaptive strategies keeps AI systems safe without slowing them down. It helps meet high performance needs while still being secure.

POSTGRESQL CLIENT IMPLEMENTATION IN AWS LAMBDA CONTAINER IMAGES

My Makerspace • 0 implied HN points • 02 Feb 25
🕹 Technology Cloud Computing
  1. You can set up a PostgreSQL client in AWS Lambda using Docker. Just use a specific base image and install the PostgreSQL package.
  2. Configuration for the Lambda function involves setting up environment variables for the database connection and ensuring proper network settings.
  3. To deploy the setup, you'll need to build and deploy your serverless application using simple commands in AWS SAM.

Sort February Update: On-prem, SOC 2, and Product Hunt!

Database Engineering by Sort • 0 implied HN points • 03 Feb 25
🕹 Technology Cloud Computing
  1. Sort made it to the front page of Product Hunt, ranking #6, which helped it gain a lot of visibility among users.
  2. An on-premises version of Sort is now available, which is great for industries that need to keep their data secure, like healthcare and finance.
  3. Sort has achieved SOC 2 Type 2 Certification, showing they have good security practices in place to protect data.

A Smarter Way to Firewall: Microsegmentation

Identity Revive • 0 implied HN points • 12 Feb 25
🕹 Technology Cloud Computing
  1. Microsegmentation helps control network traffic at a very detailed level, making it harder for attackers to move around after they breach a system. This means that if one part of the network is attacked, the damage can be contained more easily.
  2. It improves visibility of network activities, letting organizations see what is happening in their systems. This awareness helps quickly spot unusual behaviors that might indicate a security threat.
  3. Adopting microsegmentation supports Zero Trust principles by reducing unnecessary trust across the network. It ensures that only authorized users and applications can access sensitive resources, making it much harder for cybercriminals to exploit vulnerabilities.

Hyperscalers Are Quietly Taking Over Enterprise Tech Spend

OSS.fund Newsletter • 0 implied HN points • 06 Mar 25
💼 Business Cloud Computing
  1. Big tech companies like AWS, Microsoft, and Google are changing how businesses buy tech. They're not just providing cloud services anymore; they're also influencing what tools and services companies use.
  2. Smaller IT and SaaS companies are now reliant on these big tech firms to reach customers. This means they might lose direct contact with their customers and end up paying high commissions to sell on these platforms.
  3. To stay competitive, companies must avoid relying too much on one tech giant. Diversifying their services and creating unique offerings can help them survive and thrive in this new landscape.

What's up with datacenters? And the Three Horse Race

Alex's Personal Blog • 0 implied HN points • 15 Jul 25
🕹 Technology Cloud Computing
  1. Cognition AI recently acquired Windsurf and gained significant revenue, showcasing how tech companies are trying to consolidate power in the market. It raises concerns about competition being stifled as larger firms buy up smaller ones.
  2. Major companies like Meta and Alphabet are heavily investing in building large data centers, indicating that the demand for AI technology and computing power is not slowing down. They believe that more computational power will lead to better AI models.
  3. The U.S., China, and France are emerging as the top contenders in the global AI race, with each country focusing on leveraging its tech companies to achieve dominance in AI development.

No, We’re Not Just Rebooting Containers. We’re Wrecking the Attacker’s Mental Model.

Phoenix Substack • 0 implied HN points • 18 Jul 25
🕹 Technology Cloud Computing
  1. Attackers thrive on predictable infrastructure. By constantly changing it, you make it harder for them to plan their attacks.
  2. Instead of just restarting systems, the approach involves changing everything, including names and locations. This confuses attackers and disrupts their actions.
  3. The goal isn't just to break into their systems but also to mess with their confidence and momentum. When they're unsure, they're less effective.