The hottest Cloud Computing Substack posts right now

And their main takeaways
Category
Top Technology Topics

ThoughtSpot - Making Data Analytics as Simple as a Google Search

Termsheet by Attack Capital • 2 HN points • 13 Jun 23
🕹 Technology Data Analytics AI Cloud Computing Startups Artificial Intelligence
  1. ThoughtSpot aims to simplify data analytics like a Google search, providing AI-driven analytics for instant insights.
  2. Co-founded by Ajeet Singh, ThoughtSpot is valued at $4.2Bn and has raised $644 Million, backed by major VC firms.
  3. ThoughtSpot's platform allows users to easily query and analyze data, with features like live-querying, governed data models, and integrations.

Data Science Weekly - Issue 242

Data Science Weekly Newsletter • 19 implied HN points • 12 Jul 18
🕹 Technology Data science Machine Learning Artificial Intelligence Big Data Cloud Computing
  1. There's a big focus on how artificial intelligence has evolved in the past year, with many players in the market and new trends shaping its future.
  2. Understanding the difference in approaches to machine learning is crucial for businesses, as many struggle when they don't recognize the distinctions.
  3. New methods in machine learning, like generating detailed ground views from satellite images, show how technology can create innovative solutions to complex problems.

Data Science Weekly - Issue 232

Data Science Weekly Newsletter • 19 implied HN points • 04 May 18
🕹 Technology Data science Machine Learning Artificial Intelligence Software Development Cloud Computing
  1. Google's Teachable Machine helps people understand how to make machine learning models easier to use.
  2. Data science in startups needs strong processes for analyzing data and experimenting with models, especially when building from scratch.
  3. There's a powerful method for deep learning that works well with tabular data, and it's starting to be used by many big companies.

Data Science Weekly - Issue 227

Data Science Weekly Newsletter • 19 implied HN points • 29 Mar 18
🕹 Technology AI Data science Machine Learning Cloud Computing Statistics
  1. AI can change how people behave, and that might be used wrongly by companies and governments.
  2. Statisticians and computer scientists don't always understand each other's fields well, which can make collaboration harder.
  3. Machine learning can help detect diseases like Alzheimer's earlier than traditional methods by recognizing patterns quickly.
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My Other Computer is Amazon EC2

Bit by Bit • 2 HN points • 18 Apr 23
🕹 Technology Cloud Computing AWS Infrastructure as Code DevOps
  1. Transitioning to running your dev environment on the cloud, like Amazon EC2, can offer more versatility and improved performance.
  2. Key components of setting up a development environment on Amazon EC2 include VPC, Autoscaling Group, and EC2 Instance with specific configurations.
  3. Optimizations like adding tailscale, hibernating instances, using vscode for connection, and utilizing reserved instances can further enhance the cloud-based development setup.

Hugging Face and AWS Partner

Machine Economy Press • 2 implied HN points • 23 Feb 23
🕹 Technology AI Cloud Computing Machine Learning Software Development
  1. The A.I. arms race in the Cloud is intensifying with partnerships like Hugging Face and AWS.
  2. Hugging Face and AWS collaboration aims to democratize machine learning and contribute models to the AI community.
  3. AWS offers advanced tools like Amazon SageMaker and AWS Inferentia for training and deploying models in partnership with Hugging Face.

Edition 22: A framework to securely use LLMs in companies - Part 2: Managing risk

Boring AppSec • 1 HN point • 13 Aug 23
🕹 Technology AI Cybersecurity Risk management Data Privacy Cloud Computing
  1. Using third-party LLM providers can offer advantages like minimal setup complexity and experimentation with low upfront costs.
  2. Challenges with third-party LLMs include concerns about data security, biases in responses, and potential cost overruns.
  3. To manage risks when integrating LLMs, consider implementing an LLM gateway for traffic routing, regular auditing and testing, and a monitoring layer for usage.

Data Science Weekly - Issue 153

Data Science Weekly Newsletter • 19 implied HN points • 27 Oct 16
🕹 Technology AI Machine Learning Data science Autonomous Vehicles Cloud Computing
  1. Self-driving cars are not fully ready for everyday use yet, so we should be cautious when thinking about how they will change transportation.
  2. Artificial intelligence has the potential to transform various industries, similar to how electricity changed the world.
  3. Data is becoming a vital part of decision-making in many areas, including sports like basketball, changing how teams operate.

Scaling and Orchestrating Large Language Models: In Conversation With Databricks CTO Matei Zaharia

Unsupervised Learning • 1 implied HN point • 20 Mar 23
🕹 Technology AI Startups Data ML Ops Cloud Computing
  1. Decoupling semantic understanding and facts in large language models is challenging and using external indexes for knowledge retrieval can be powerful.
  2. Pulling work out of large language models and into code can give engineers more control and help with complex workflows.
  3. The need for scale in training large language models poses challenges as few can reproduce the largest models, impacting research and innovation.

Building Fault Tolerant System on AWS

Cloud Weekly • 1 HN point • 19 Mar 23
🕹 Technology Cloud Computing Fault Tolerance AWS Asynchronous communication
  1. Consider using FIFO queues in AWS for order processing to ensure messages are processed in the right order and avoid duplicates.
  2. Re-design solutions to leverage asynchronous communication over synchronous for a more resilient system.
  3. Implement retry mechanisms and explore Dead Letter Queues to handle failures and define thresholds for message processing.

🍎  WoR Newsletter - some Rails releases, how to spot toxic companies, creating art with code...

Women On Rails Newsletter - International Version • 0 implied HN points • 06 Jul 21
🕹 Technology Coding Web Development Art Podcasts Cloud Computing
  1. The newsletter discusses recent Rails releases - versions 6.0.4 and 6.1.4, highlighting updates and changes.
  2. It educates on how to identify toxic companies by focusing on the importance of company culture and integration for underrepresented groups.
  3. It emphasizes the significance of creating engaging and interactive documentation to enhance communication and knowledge sharing.

China AIOps startup DataBuFF has completed a Series A funding round of tens of millions of RMB

CyberSecurityMew • 0 implied HN points • 29 Nov 23
🕹 Technology Startups Funding AI Cloud Computing Digital Transformation
  1. DataBuFF, a China-based AIOps startup, secured a Series A funding round of tens of millions of RMB, with OpenSight Venture Capital as an investor. The funds will be used for ongoing research, development, and marketing of the company's observability platform.
  2. The CEO of DataBuFF emphasizes a shift from the IT era to the Data-Driven Business era, highlighting the importance of real-time accuracy and stability in a data-rich environment brought about by cloudification and microservices.
  3. OpenSight Venture Capital sees a move in China toward full-link digitization, where data-driven business speed combined with cloud adoption is exceeding expectations. DataBuFF aims to help with rapid root cause identification and resource-cost balance for customers.

让远程浏览器隔离拥抱未来 Embrace the future with RBI｜安全红蓝紫

CyberSecurityMew • 0 implied HN points • 27 Nov 23
🕹 Technology Cybersecurity Network Security Cloud Computing Government Contracts Remote work
  1. The concept of Remote Browser Isolation (RBI) was first developed and deployed in 2010 at the Lawrence Livermore National Laboratory, known as SafeWeb.
  2. RBI technology, integrated into Security Access Service Edge (SASE) framework, helps protect against web-based threats by isolating user web browsing activity from internal networks.
  3. Implementing RBI, as recommended by CISA, is widely accepted as a strategic architecture decision by large organizations dedicated to a zero-trust approach, helping reduce attack surface and enhance cybersecurity.

Brief: Copilot for Security as a Tool for Threat Hunting

Rod’s Blog • 0 implied HN points • 14 Feb 24
🕹 Technology Cybersecurity Artificial Intelligence Automation Cloud Computing
  1. Threat hunting is a proactive cybersecurity practice that aims to uncover hidden threats in a network or system.
  2. Benefits of threat hunting include reducing attacker dwell time, preventing damage post-breach, and improving security team capabilities.
  3. Using Copilot for Security as a tool for threat hunting can enhance data sources, address management resistance, and empower security teams with AI and automation.

Must Learn KQL Part 2: Just Above Sea Level

Rod’s Blog • 0 implied HN points • 31 May 23
🕹 Technology Programming Data Analysis Cloud Computing Security
  1. KQL stands for Kusto Query Language, named after undersea pioneer Jacques Cousteau. Understanding the origin of the name can give insights into the nature and purpose of the query language.
  2. KQL is designed for quickly surfacing critical security information hidden in large datasets. Its performance and simplicity make it a valuable tool for security professionals.
  3. Efficiency, simplicity, and cloud optimization are key factors that distinguish KQL from other query languages, enhancing its ability to help security professionals identify and address threats efficiently.

How to Generate Microsoft Sentinel Incidents for Testing and Demos

Rod’s Blog • 0 implied HN points • 23 Jan 23
🕹 Technology Cybersecurity Data Analysis Cloud Computing Monitoring Incident Response
  1. Utilize the Microsoft Sentinel Training Lab to enable a demo environment with sample alerts for testing incidents.
  2. Leverage tools like Red Canary's Atomic Red Team and AppLocker Bypass for reproducible security tests mapped to the MITRE ATT&CK framework.
  3. Experiment with generating incidents through actions like cloud shell execution, simulating brute force attacks, utilizing Microsoft Cloud App Security, and creating custom detections in Defender for Endpoints.

How to Send Azure Storage Logs to Microsoft Sentinel

Rod’s Blog • 0 implied HN points • 12 Jan 23
🕹 Technology Cloud Computing Security
  1. To send Azure Storage logs to Microsoft Sentinel, create a Diag Setting for each Storage account type and send the logs to the same Log Analytics Workspace.
  2. Enabling this feature incurs regular ingestion charges, so choose carefully what type of logs you want to collect.
  3. You will need to create your own Analytics Rules as they are not provided, but the author might share some sample rules on their GitHub repo.

How to Use a Playbook to Add Geographical Data for IP Addresses to a Microsoft Sentinel Incident

Rod’s Blog • 0 implied HN points • 09 Jan 23
🕹 Technology Data Management Cybersecurity GitHub Cloud Computing
  1. A Playbook can be used to add geographical data for IP addresses to a Microsoft Sentinel Incident by querying IP-API.com and storing information in the Comments section.
  2. Storing more information in the Comments section instead of Tags provides flexibility and depth for investigations.
  3. Enhancing investigation context with detailed geographical data can help expedite the closing of Incidents.

Cloud Lessons: Launching a K3S Cluster

Certo Modo • 0 implied HN points • 04 Aug 23
🕹 Technology Cloud Computing Infrastructure as Code Kubernetes
  1. Starting a series to explore cloud-native tools like Kubernetes can be an exciting and beneficial learning experience.
  2. Setting up a K3S cluster on a cloud provider using Terraform for infrastructure and Ansible for configuration can be cost-effective and efficient.
  3. Linux systems knowledge, including reading logs, writing scripts, and basic networking, is essential when encountering roadblocks during server setup and configuration.

Could LLM's replace abstractions?

Precipitation • 0 implied HN points • 25 Apr 23
🕹 Technology Software Engineering Artificial Intelligence Cloud Computing Programming Languages
  1. Software engineering often involves layer upon layer of abstraction. Could LLM's like ChatGPT or Copilot replace some of these layers?
  2. Consider the trade-offs before replacing abstractions with LLM's. While it may improve performance, there could be risks such as creating unmaintainable code.
  3. Exploring the efficiency of using LLM's for generating CloudFormation templates could lead to productivity improvements and faster deployment speeds, but potential drawbacks and testing need to be considered.

System Design Fundamentals: Understanding Scalability

Engineering At Scale • 0 implied HN points • 10 Jun 23
🕹 Technology System Design Scalability Cloud Computing Infrastructure Software Development
  1. Scalability is crucial for software systems to handle increasing demand and data.
  2. Building scalable systems can involve horizontal scaling (adding more machines) or vertical scaling (adding more resources to the same machine).
  3. Cloud technologies, like auto-scaling and managed databases, offer solutions for building scalable systems.

On Microsoft, Wyden's Bark May Have Some Bite

Seriously Risky Business • 0 implied HN points • 03 Aug 23
🕹 Technology Cybersecurity Data Privacy Internet Governance Cloud Computing
  1. Microsoft's lax security practices led to a hack, prompting a call for investigation by US government agencies.
  2. Recommendation to limit FBI's access to 702 data only for foreign intelligence purposes is supported.
  3. Cheerful news includes Azure's enhanced security features, Google's bug collision trend, and new supply chain analysis tools.

Meta Introduces New AI Features Across Facebook, Instagram, Messenger, and WhatsApp

pocoai • 0 implied HN points • 07 Dec 23
🕹 Technology AI Data Storage Startups Cloud Computing Language Models
  1. Meta introduced over 20 new AI features across Facebook, Instagram, Messenger, and WhatsApp, enhancing user experiences.
  2. Google unveiled Gemini AI in three sizes - Nano, Pro, and Ultra, catering to various information types like text, code, audio, images, and video.
  3. Vast Data raised $118 million for its data storage platform tailored for AI workloads, aiming to expand its business reach globally.

What Is the Goal of Lowering Your TCO Anyway?

The Serverless Mindset • 0 implied HN points • 22 Jun 23
🕹 Technology Cost management Cloud Computing Serverless
  1. TCO stands for Total Cost of Ownership and highlights the costs of owning software or infrastructure.
  2. Lowering TCO should not just be about reducing headcount; it's about optimizing resources and focusing more effectively.
  3. Utilizing cloud providers for managing software or infrastructure can be a strategic move for cost optimization.