The hottest Cloud Computing Substack posts right now

And their main takeaways
Category
Top Technology Topics

Microsoft Sentinel SOC 101: How to Detect and Mitigate SQL Injection Attacks with Microsoft Sentinel

Rod’s Blog • 119 implied HN points • 27 Sep 23
🕹 Technology Cybersecurity Cloud Computing Data Analysis Threat Detection Incident Response
  1. SQL injection attacks exploit vulnerabilities in web applications to access sensitive data.
  2. Microsoft Sentinel uses advanced analytics rules and integrates with Defender for SQL to detect and respond to SQL injection attacks effectively.
  3. Organizations can benefit from automated incident response, threat hunting, and incident investigation capabilities in Microsoft Sentinel to mitigate the impact of SQL injection attacks.

How to Deploy Microsoft Sentinel Effectively

Rod’s Blog • 59 implied HN points • 01 Feb 24
🕹 Technology Security Cloud Computing Data Management AI Automation
  1. To get the most out of Microsoft Sentinel, organizations should carefully plan and prepare their deployment by assessing security needs and goals.
  2. Choosing the right subscription and pricing model is crucial for optimizing the benefits of Microsoft Sentinel, based on data requirements, user protection, and features needed.
  3. Effective management of Microsoft Sentinel involves monitoring data ingestion, leveraging AI and ML capabilities, automating workflows, and learning from security incidents and feedback.

Virtual Private Cloud (VPC)

Vasu’s Newsletter • 13 implied HN points • 25 Oct 24
🕹 Technology Cloud Computing Networking Security Infrastructure Data Management
  1. A Virtual Private Cloud (VPC) helps businesses create a separate and secure online environment to manage their resources. This means they can control who has access to what information.
  2. With a VPC, administrators can set rules to protect incoming and outgoing internet traffic. It's like having a security system for their online resources.
  3. VPCs come with useful features like VPN connections and load balancers, which help improve communication and manage traffic effectively. This can make online services run more smoothly.
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You don't know this for sure: How BigQuery stores semi-structured data?

VuTrinh. • 59 implied HN points • 13 Jan 24
🕹 Technology Data Engineering Cloud Computing Big Data Data Storage Database Management
  1. BigQuery uses a method called definition and repetition level for efficient storage of nested and repeated data. This allows for reading specific parts of data without needing to access other related data.
  2. In columnar storage, data is organized by columns which can improve performance, especially for analytical queries, because only the needed columns are loaded.
  3. Using this method might increase file sizes due to redundancy, but it helps reduce the input/output operations needed when accessing nested fields.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Phishing Attacks with Microsoft Sentinel

Rod’s Blog • 99 implied HN points • 19 Sep 23
🕹 Technology Cybersecurity Data Analysis Automation Threat Detection Cloud Computing
  1. Phishing attacks are a significant threat that targets human vulnerabilities and can lead to identity theft or financial fraud.
  2. Organizations can mitigate phishing attacks by adopting a 'defense in depth' strategy that includes user education, email filtering, and incident response planning.
  3. Utilizing Microsoft Sentinel, Kusto Query Language (KQL), and integrating with Microsoft 365 Threat Protection can enhance proactive threat hunting and response capabilities against phishing attacks.

Bing, Google, Sydney and the AI Wars: Breaking Down the Current State of the AI Revolution

The A.I. Analyst by Ben Parr • 98 implied HN points • 23 Feb 23
🕹 Technology Artificial Intelligence Tech Companies AI Ethics Cloud Computing Research Papers
  1. Microsoft's Bing integrating ChatGPT technology can compete with Google in the AI market.
  2. Microsoft's AI chatbot Sydney showcases advanced conversational capabilities and savvy PR strategy.
  3. Google is ramping up its AI efforts, with the announcement of Bard to challenge competitors in the AI wars.

($) Do We Need Sovereign AI?

Interconnected • 77 implied HN points • 17 Mar 24
🕹 Technology AI Cloud Computing Data Governance
  1. Sovereign AI is a concept gaining attention, especially with Nvidia's involvement, and raises questions about AI infrastructure and global talent flow.
  2. The idea of sovereign AI has potential benefits in addressing issues like hallucination and data governance that plague generative AI.
  3. Global discussions are evolving around the necessity of sovereign AI to tackle complex AI challenges and leverage economies of scale.

GroupBy #33: Data Gateway - A Platform for Growing and Protecting the Data Tier at Netflix, The Cloud Storage Triad: Latency, Cost, Durability

VuTrinh. • 19 implied HN points • 30 Apr 24
🕹 Technology Data Engineering Cloud Computing Software Development Infrastructure Data Management
  1. Netflix has created a platform called Data Gateway that helps their developers manage data more easily. It simplifies complex database processes so that app developers can focus on coding.
  2. The cloud storage triad talks about balancing latency, cost, and durability when storing data. Choosing the right storage solution can save money while ensuring data is always available.
  3. Managing data ingestion effectively is crucial for companies like RevenueCat. They faced challenges moving their data and found ways to optimize the process for better performance.

Monitoring Windows pods with Prometheus and Grafana

VTEX’s Tech Blog • 39 implied HN points • 09 Feb 24
🕹 Technology Software Infrastructure Cloud Computing Monitoring Data Visualization
  1. Using Amazon EKS for Windows workloads is becoming popular as it simplifies the management of existing Windows applications without needing to completely refactor them.
  2. Prometheus and Grafana are essential tools for monitoring performance and metrics of Windows pods, helping teams visualize important data from their workloads.
  3. To set up monitoring, install the Windows Exporter daemonset and Kube-State-Metrics on your Amazon EKS cluster, enabling detailed insights into both Windows pods and nodes.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Multiple Microsoft Teams Deleted by a Single User with Microsoft Sentinel

Rod’s Blog • 39 implied HN points • 07 Feb 24
🕹 Technology Security Software Data Management Incident Response Cloud Computing
  1. Use Microsoft Sentinel to detect and respond to multiple Teams deletion events in your organization.
  2. Collect Teams activity logs in Microsoft Sentinel to monitor data and detect security risks.
  3. Write custom analytics rules in Microsoft Sentinel to generate alerts for suspicious activities, such as multiple Teams deletion by a single user.

Monitor Azure Open AI Deployments with Microsoft Sentinel

Rod’s Blog • 79 implied HN points • 20 Apr 23
🕹 Technology Cloud Computing Security Data Analysis Automation Software Development
  1. Defender for Cloud Apps can now monitor Azure Open AI activity, making it easier to track and locate activity using Microsoft Sentinel.
  2. Utilize KQL queries to identify Azure Open AI deployments and create a maintained Watchlist in Microsoft Sentinel for easy monitoring.
  3. Automate the updating of the Watchlist with Logic Apps to ensure it always contains the most up-to-date information on Azure Open AI instances.

🧊 The Container Iceberg, New Era of Global Databases, the 70% Dilemma in AI Coding, & More

HackerPulse Dispatch • 5 implied HN points • 10 Dec 24
🕹 Technology Software Development Cloud Computing AI & Machine Learning Database Systems Programming Languages
  1. Companies are moving away from VMware because of high cost increases. Many are finding open-source options like OpenNebula to save money and improve efficiency.
  2. A new coding language called PyGyat has playful syntax, making Python coding more fun. It allows developers to switch between traditional Python and PyGyat easily.
  3. AI tools can help speed up coding, but they have limitations. While they help create initial code quickly, the last touches needed for quality often still require human expertise.

The Tech Buffet #19: How To Build and Deploy an LLM-Powered App To Chat with PapersWithCode

The Tech Buffet • 39 implied HN points • 03 Feb 24
🕹 Technology Machine Learning Software Development Web applications Cloud Computing Data Management
  1. You can build a personal assistant to easily find and understand the latest machine learning research. This assistant will let you ask questions in simple language.
  2. The app uses a system that retrieves and generates information, utilizing a database and machine learning models. It processes data from a site called 'Papers With Code'.
  3. The guide provides step-by-step instructions on how to create, index, and deploy this assistant as a web application, including ready-to-use source code.

GroupBy #32: Canva - Scaling to Count Billions, Ensuring Precision and Integrity: A Deep Dive into Uber’s Accounting Data Testing Strategies

VuTrinh. • 19 implied HN points • 23 Apr 24
🕹 Technology Data Engineering Software Development Cloud Computing Artificial Intelligence Database Management
  1. Canva's usage of creator content has skyrocketed, with data showing its growth doubling every 18 months. Managing the architecture to track this data is a significant challenge.
  2. Uber has developed strong testing and monitoring processes for its financial accounting data. This ensures accuracy and presents reliable external financial reports.
  3. With the rise of data lakehouses, utilizing tools like Apache Hudi and Paimon can enhance data storage and performance. These tools help build efficient and scalable data solutions.

A Guide to Customer Analysis for Sequencing Kit Providers

LatchBio • 6 implied HN points • 03 Dec 24
🕹 Technology Biotechnology Data Analysis Cloud Computing Software Development Customer Support
  1. Kit providers should create analysis packages that include tools to help customers understand their data better. This makes it easier for scientists to answer their research questions.
  2. Redeemable codes can be embedded in kits to give customers access to these analysis tools. This lets providers track which customers are using the tools and how.
  3. It's crucial for kit providers to monitor their customers' progress with the analysis tools. If customers can't get the insights they need, they are less likely to buy more kits.

turbopuffer

Why Now • 5 implied HN points • 09 Dec 24
🕹 Technology Software Data Management Infrastructure Cloud Computing Developer Tools
  1. It's important to look for companies that create strong communities or 'religions' around their products. Companies that divide opinion often attract attention and engagement.
  2. Object storage is a powerful way to manage data, allowing for flexible and efficient storage. It uses a flat structure for data organization, making it faster to access compared to traditional file storage.
  3. The separation of storage and compute resources helps businesses scale more effectively. This means you can add storage or processing power independently, making it more efficient for varying demands.

Cloud Compliance - At the Speed of Government

Resilient Cyber • 119 implied HN points • 05 Jun 23
🕹 Technology Cybersecurity Cloud Computing Risk management
  1. Federal cloud compliance processes take a long time, as seen with FedRAMP taking almost three years to update its security baselines to align with NIST 800-53 revisions.
  2. Cloud service providers have a very short timeframe to adapt to these updates, which creates a confusing double standard where industry has to move faster than the government.
  3. While there's a growing focus on securing the software supply chain, cloud service providers were unregulated in this area for years, despite their crucial role in cybersecurity.

GPU-enabled Bioinformatics

LatchBio • 9 implied HN points • 06 Nov 24
🕹 Technology Bioinformatics Data science AI Development Cloud Computing
  1. Bioinformatics is moving towards using GPUs to speed up data processing. This change can save a lot of time and money for researchers.
  2. New molecular techniques generate massive amounts of data that take too long to analyze without faster systems. Using GPUs can make these processes much quicker, especially for large datasets.
  3. There are now cloud platforms that make it easier to use GPU technology without needing special expertise or expensive hardware. This helps more teams access advanced analysis tools.

How to Monitor the Microsoft Sentinel Trial Period

Rod’s Blog • 59 implied HN points • 07 Nov 23
🕹 Technology Software Microsoft Cloud Computing Data Management
  1. For Microsoft Sentinel customers, a 31-day trial period is available by enabling Microsoft Sentinel on a Log Analytics workspace.
  2. To monitor the trial period, look under the 'News & Guides' blade and access the 'Free Trial' tab to see how many days are left.
  3. In the past, the 31-day trial could be enabled unlimited times on new workspaces, but now it's limited to 20 times per Azure subscription.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Rare Domains Seen in Cloud Logs with Microsoft Sentinel

Rod’s Blog • 59 implied HN points • 06 Nov 23
🕹 Technology Security Cloud Computing Data Analysis Threat intelligence Automation
  1. Rare or malicious domains in cloud logs can be used by attackers for phishing, malware delivery, data exfiltration, and command and control.
  2. Detection and analysis of rare domains in cloud logs can help identify threats like phishing attacks, malware delivery, data exfiltration, and command and control activities.
  3. Microsoft Sentinel offers features like built-in hunting queries, automation rules, and playbooks to help detect, enrich, validate, and respond to rare domains in cloud logs.

The Era of the Cloud Czars

Dana Blankenhorn: Facing the Future • 39 implied HN points • 05 Feb 24
🕹 Technology Cloud Computing Tech Companies Artificial Intelligence Hardware Software
  1. The era of the Cloud Czars is defined by five key companies: Apple, Microsoft, Amazon, Google, and Meta.
  2. Building clouds and investing in the Cloud game was a key risk that many companies failed to take on, leading to their decline.
  3. In the tech industry, failure to take risks can be fatal, as highlighted by the success of the Cloud Czars who embraced the challenge.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Advanced Persistent Threats (APTs) with Microsoft Sentinel

Rod’s Blog • 59 implied HN points • 12 Oct 23
🕹 Technology Security Cloud Computing Data Analytics Automation Threat Detection
  1. Advanced Persistent Threats (APTs) are stealthy and sophisticated cyberattacks that aim to gain unauthorized access and remain undetected for prolonged periods, typically orchestrated by skilled threat actors like nation-state groups or cybercrime syndicates.
  2. Microsoft Sentinel provides a cloud-native Security Information and Event Management (SIEM) solution that offers intelligent security analytics, threat intelligence, and the ability to collect and analyze data at scale.
  3. To combat APTs effectively, organizations can utilize Microsoft Sentinel to connect data sources, use workbooks for monitoring, analytics rules for correlating alerts into incidents, playbooks for automating common tasks, and hunting queries for proactively searching for threats.

Microsoft Sentinel SOC 101: How to Detect and Mitigate a DNS Spoofing Attack with Microsoft Sentinel

Rod’s Blog • 59 implied HN points • 11 Oct 23
🕹 Technology Security Cloud Computing Cybersecurity Threat Detection Automation
  1. DNS spoofing, also known as DNS cache poisoning, can lead to serious consequences like compromising credentials and exposing confidential information.
  2. Microsoft Sentinel is a cloud-native SIEM solution that offers benefits like intelligent security analytics, scalability, and cost reduction compared to legacy solutions.
  3. To detect and mitigate DNS spoofing attacks using Microsoft Sentinel, you can leverage features like built-in connectors, workbooks for monitoring data, analytics rules, playbooks for automated workflows, and custom logic creation.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Session Token Stealing Attacks with Microsoft Sentinel

Rod’s Blog • 59 implied HN points • 06 Oct 23
🕹 Technology Cybersecurity Data Analytics Cloud Computing Threat Detection Automation
  1. Session token stealing attacks can lead to unauthorized access, data theft, account takeover, and other malicious activities.
  2. To detect session token stealing attacks, Microsoft Sentinel offers a comprehensive solution using advanced analytics, threat intelligence, and automation.
  3. Mitigate session token stealing by using HTTPS encryption, secure cookies, short-lived session tokens, strong passwords, multifactor authentication, and other security measures.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Cross-Site Scripting (XSS) Attacks with Microsoft Sentinel

Rod’s Blog • 59 implied HN points • 21 Sep 23
🕹 Technology Cybersecurity Cloud Computing Web Security Threat Detection
  1. XSS attacks can be classified into three main types: Stored XSS, Reflected XSS, and DOM-based XSS, each with unique methods of execution and potential risks.
  2. To effectively detect and mitigate XSS attacks, it's crucial to understand common attack vectors like input fields, URL parameters, cookies, HTTP headers, and third-party scripts.
  3. A combination of Azure Web Application Firewall (WAF) and Microsoft Sentinel offers robust protection against XSS attacks, providing tools for detection, investigation, and response.

Google Cloud's Core Principles of System Design [System Design sundays]

Technology Made Simple • 59 implied HN points • 04 Sep 23
🕹 Technology System Design Cloud Computing Documentation Architecture
  1. A robust system design should be secure, reliable, scalable, and independent, allowing for iterative changes without disruption.
  2. Document everything to help visualize deployments, collaborate effectively, and guide future design decisions.
  3. Simplify system design, use fully managed services, decouple architecture, and strive for a stateless architecture to improve reliability and scalability.

🕵️🗺️ Where do I deploy Llama-2? 🦙🦙

LLMs for Engineers • 59 implied HN points • 22 Aug 23
🕹 Technology Cloud Computing Artificial Intelligence Machine Learning Data Privacy Cost Analysis
  1. There are many options for hosting Llama-2, including big names like AWS, GCP, and Azure, as well as newer providers like Lambda Labs and CoreWeave. Each has its own pricing and GPU options.
  2. Understanding how much you plan to use Llama-2 is important. This helps you decide whether to use a cloud service provider or a function-based option like Replicate.
  3. Cost-effectiveness varies with different providers. For low usage, function providers can be cheaper, but for higher usage, CSPs might save you money in the long run.

Creating a serverless API using AWS Lambda and Node.js with TypeScript and Express.js

Rodrigo Kamada • 58 implied HN points • 22 Mar 23
🕹 Technology Programming Cloud Computing Serverless Node.js AWS
  1. Create a serverless API using AWS Lambda and Node.js with TypeScript and Express.js.
  2. Learn to configure an account on AWS Lambda, create access keys, build a Node.js application with Express.js, and deploy it on AWS Lambda.
  3. Test the serverless API on AWS Lambda by sending requests to the created routes.

Building Identity Resolution on Snowflake Using Snowpark

Sonal’s Newsletter • 58 implied HN points • 19 Jun 23
🕹 Technology Data processing Machine Learning Software Development Open Source Cloud Computing
  1. Building ML pipelines in Snowpark requires using third-party libraries like scikit-learn for machine learning.
  2. Integrating specialized functionalities like graph processing in Snowpark may require additional support or custom solutions.
  3. Adapting a codebase from Apache Spark to Snowpark requires careful consideration and potential restructuring to maintain efficiency and avoid technical debt.