The hottest Cloud Computing Substack posts right now

And their main takeaways
Category
Top Technology Topics

Issue #82

Infra Weekly Newsletter • 9 implied HN points • 27 Feb 24
🕹 Technology Security Programming Cloud Computing Operating Systems Infrastructure as Code
  1. Microsoft Azure experienced a major data breach with hundreds of compromised executive accounts, highlighting security concerns despite its reputation.
  2. Nickel, a language by Tweag, aims to create safe and verified configurations, offering a new tool for developers.
  3. While SSDs have greatly improved in speed, cloud vendors like AWS haven't capitalized on this advancement, possibly due to challenges in leveraging high I/O speeds or maximizing revenue.

Gradient Flow #37: Automation in DataOps, Neural RecSys, Self-Supervision

Gradient Flow • 59 implied HN points • 17 Jun 21
🕹 Technology DataOps Cloud Computing Machine Learning
  1. Automation tools are essential in managing data across the machine learning lifecycle, enabling efficient data labeling, storage, and monitoring for computer vision applications.
  2. Questioning the effectiveness of neural recommendation systems sheds light on current trends in deep learning applications for recommendation systems.
  3. Experimentation and combination of modeling techniques, like XGBoost and neural models, are crucial for achieving optimal results in machine learning tasks.
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Episode 28: Burkhard on Qt Embedded Systems

burkhardstubert • 39 implied HN points • 04 Apr 22
🕹 Technology Embedded Systems Software Development Programming Cloud Computing Agile Methodology
  1. Burkhard is switching from a newsletter format to a blog for sharing his thoughts on Qt Embedded Systems. He believes this will help him attract more readers and focus better on his writing.
  2. There are different levels of architecture diagrams for Qt embedded systems, such as context and container levels. These diagrams help in understanding system interactions and can guide the organization of development teams.
  3. Spotify uses a unique structure for its teams, like squads and tribes, to encourage communication and collaboration. This approach helps address dependencies between teams and enhances productivity.

Apple Intelligence, Ticketmaster data breach, Snowflake, BBC pension, Banking trojans, Multifactor authentication

Secure GenAI • 1 HN point • 10 Jun 24
🕹 Technology Security Cloud Computing Malware Data Breaches Cybersecurity
  1. Cloud Security is crucial: Recent breaches like Ticketmaster and Snowflake highlight the importance of securing cloud-based systems with robust security measures like multi-factor authentication.
  2. Malware Threats are evolving: Sophisticated malware like the Anatsa banking Trojan emphasizes the continuous evolution of cyber threats, requiring proactive security measures to counter them.
  3. Data Breaches impact all organizations: The breaches affecting diverse entities such as Ticketmaster, BBC, and US government emphasize that cyberattacks pose a risk to organizations of all sizes and sectors.

Make it resilient: Disaster Recovery Techniques

Cloud Weekly • 26 implied HN points • 27 May 23
🕹 Technology Cloud Computing Disaster Recovery AWS Infrastructure Data Management
  1. There are 4 main disaster recovery techniques: Backup & Restore, Pilot Light, Warm StandBy, and Multi-Site Active/Active.
  2. The techniques aim to optimize for RPO (Recovery Point Objective) and RTO (Recovery Time Objective), which determine how much data loss and downtime are acceptable.
  3. The choice of technique depends on factors like cost, recovery speed, and the criticality of the application, with each method having its own advantages and trade-offs.

Undertstanding Kafka [System Design Sundays]

Technology Made Simple • 19 implied HN points • 03 Jul 22
🕹 Technology Tech news System Design Cloud Computing Open Source Tools
  1. Apache Kafka is an open-source distributed event streaming platform used for handling large amounts of data generated by multiple sources simultaneously.
  2. Kafka's key functions include publishing and subscribing to streams of records, storing records in order, and processing streams in real-time, making it essential for real-time streaming data pipelines and applications.
  3. Kafka offers 5 APIs (admin, producer, consumer, streams, connector) for managing topics, publishing streams, subscribing, implementing stream processing, and building data connectors, demonstrating its versatility and usability in system design.

GitTrends - June 2 2024

GitTrends • 1 HN point • 02 Jun 24
🕹 Technology Open Source AI Programming Cloud Computing Cybersecurity
  1. Highly popular GitHub projects include ChatTTS, SickoMenu, and YOLOv10 showcasing innovation in speech, gaming, and object detection technologies.
  2. Significant week-to-week growth was observed in projects related to software architecture, AI applications in finance, and search engine libraries, indicating a surge in interest and development in these areas.
  3. Emerging trends include projects like MusicGPT, Rope, and LookOnceToHear, highlighting advancements in music generation, GUI interaction, and real-time speech extraction technologies, contributing to diverse GitHub contributions.

Gradient Flow #42: Data Quality; Oscilloscope for Deep Learning; Feature Stores

Gradient Flow • 39 implied HN points • 26 Aug 21
🕹 Technology Data Quality Deep Learning Machine Learning Cloud Computing
  1. Data quality is crucial in machine learning and new tools like feature stores are emerging to improve data management.
  2. Experts are working on auditing machine learning models to address issues like discrimination and bias.
  3. Large deep learning models such as Jurassic-1 Jumbo with 178B parameters are being made available for developers.

Chuyển đổi số... phận

Thái | Hacker | Kỹ sư tin tặc • 39 implied HN points • 20 Dec 20
🕹 Technology Digital Transformation Tech Giants Innovation Artificial Intelligence Cloud Computing
  1. Success in the tech world is linked to digital transformation, where companies utilize technology to create new revenue streams and value.
  2. To thrive in the tech industry, organizations must embrace a culture of rapid adaptation and continuous learning, rather than just relying on specific technologies.
  3. Digital transformation is more about changing mindset rather than simply moving operations online, emphasizing the need for agile thinking and constant evolution.

A Halloween fright fest

Metal Machine Music by Ben Tarnoff • 59 implied HN points • 31 Oct 19
🕹 Technology AI Ethics Cloud Computing Object Oriented Programming Data Systems
  1. AI ethics initiatives are aiming to establish responsible rules for AI system development but can lack democratic input from those impacted by the technology.
  2. Democratizing AI involves making decisions about values political, requiring mechanisms for collective decision-making to ensure fairness and transparency in algorithmic processes.
  3. Kristen Nygaard, a Norwegian computer scientist, was instrumental in developing object-oriented programming and also worked to empower workers in their workplaces through understanding and influencing technology.