The hottest Cloud Computing Substack posts right now

And their main takeaways
Category
Top Technology Topics

Masquerading Digitalization

Amirul’s Substack • 1 HN point • 11 Apr 24
🕹 Technology Digitalization Emerging Tech Cloud Computing Digital Transformation
  1. Transitioning to digital should involve more than just adopting new technologies; it should also focus on reimagining business operations and ways of working.
  2. Simply replacing physical processes with digital ones does not equate to true digital transformation; the focus should be on enhancing user experiences and efficiency.
  3. Mixing emerging technologies with traditional IT culture can hinder digital transformation; organizations need to address organizational silos and adapt their operating models for successful digitalization.

How do you compete with the everything company?

Entry Level Investing • 16 implied HN points • 09 Nov 23
🕹 Technology AI Startups Data Cloud Computing Enterprise
  1. OpenAI is a strong competitor in AI, but they are not infallible across all business lines.
  2. To compete with OpenAI, focus on deep vertical specialization, proprietary data moats, and cloud agnostic solutions.
  3. Consider prioritizing enterprise needs, leveraging open source communities, and recognizing the challenges of being an 'everything company.'

GenAI will change how games are played

Let's talk games & AI. • 4 implied HN points • 19 Feb 24
🕹 Technology Artificial Intelligence Video Games Cloud Computing Hardware Algorithms
  1. In about 7.5 years, there is potential for playing any game experience whenever you want.
  2. The speed of GenAI model advancements will likely lead to faster response times for gaming.
  3. Over the next few years, GenAI will revolutionize how games are created and played through user-generated content, dynamic gaming experiences, and cloud gaming solutions.

Building LLM application using RAG

Mindful Matrix • 1 HN point • 07 Apr 24
🕹 Technology AI Data processing Cloud Computing Machine Learning Applications
  1. LLMs have limitations like not being able to update with new information and struggling with domain-specific queries.
  2. RAG (Retrieval Augmented Generation) architecture helps ground LLMs by using custom knowledge bases for generating responses to queries.
  3. Building a simple LLM application using RAG involves steps like loading documents, splitting data, embedding/indexing, defining LLM models, and retrieval/augmentation/generation.
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Microsoft Sentinel SOC 101: How to Detect and Mitigate Zero-day Exploits with Microsoft Sentinel

Rod’s Blog • 19 implied HN points • 10 Oct 23
🕹 Technology Security Cloud Computing Threat Detection Data Analysis Automation
  1. Zero-day exploits are dangerous because they exploit unknown software vulnerabilities and can have severe consequences like data breaches and system disruptions.
  2. To protect against zero-day exploits, organizations can monitor reported vulnerabilities, install next-generation antivirus solutions, perform rigorous patch management, segment networks with firewalls, and deploy advanced endpoint protection solutions.
  3. Microsoft Sentinel, a cloud-native SIEM solution, can help organizations protect against zero-day exploits by collecting data at cloud scale, detecting threats with analytics and intelligence, and investigating and responding with automation and orchestration.

Pentagon quietly re-awarded its $9 billion Joint Warfighting Cloud Capability contracts to U.S. tech giants

All-Source Intelligence Fusion • 40 implied HN points • 18 May 23
🕹 Technology Cloud Computing Government Contracts Tech Giants
  1. Pentagon re-awarded $9 billion cloud contracts to U.S. tech giants like Google and Oracle.
  2. The replacement for canceled JEDI program is Joint Warfighting Cloud Capability (JWCC) with better risk mitigation.
  3. The contracting process has been a major obstacle with reversals in payouts and lack of transparency.

Native Snakemake Support on LatchBio

LatchBio • 20 implied HN points • 14 Sep 23
🕹 Technology Bioinformatics Cloud Computing Data Management Infrastructure
  1. Bioinformaticians face challenges in developing specialized scientific workflows due to managing large files and deploying academic tools.
  2. Snakemake, a Python-based framework, offers advantages over Nextflow in terms of Python readability, debuggability, and configuration simplicity.
  3. LatchBio now provides native support for Snakemake, enabling bioinformaticians to leverage graphical interfaces, managed infrastructure, and downstream analysis solutions.

BYOK

Aipreneur • 39 implied HN points • 08 Mar 23
🕹 Technology AI Data science Machine Learning Cloud Computing Mobile technology
  1. BYOD (Bring Your Own Device) became popular in corporates due to iPhone's rise and employee preferences.
  2. BYOD is beneficial for companies in cost-saving, convenience, increased mobility, and changing workforce demographics.
  3. The emerging trend of BYOK (Bring Your Own Keys) is starting in AI platforms, where users need to pay for keys to access and use data responsibly.

Showing the Receipts of Smart Manufacturing

Exponential Industry • 39 implied HN points • 30 Mar 23
🕹 Technology Technology Adoption Cloud Computing
  1. Manufacturers are adopting smart manufacturing technologies for greater agility and resilience in a changing global landscape.
  2. Smart manufacturing technology adoption is driven by advancements, lower costs, and interoperability across industries.
  3. Industry verticals with higher gross margins like aerospace, electronics, and automotive invest more in smart manufacturing technologies.

Using Azure Open AI with Microsoft Sentinel Part 1 - Getting Keys and Endpoints

Rod’s Blog • 39 implied HN points • 30 Mar 23
🕹 Technology Cloud Computing AI Data Management Cybersecurity Programming
  1. Consider transitioning from Logic App connector for Open AI ChatGPT to Azure Open AI's ChatGPT for more control over data.
  2. When working with Azure Open AI models, deployments should be done in the Azure console, not Azure OpenAI Studio, and need patience for the API to become accessible.
  3. In Microsoft Sentinel, use best practices like storing API keys and endpoints in Parameters for calls to Azure Open AI deployments.

Cross-workspace Query Best Practice for Microsoft Sentinel

Rod’s Blog • 39 implied HN points • 17 Apr 23
🕹 Technology Cybersecurity Cloud Computing Data Analysis Social media
  1. Cross-workspace queries in Microsoft Sentinel are crucial for managing multiple workspaces or customers.
  2. When using cross-workspace queries, it is more efficient to use the workspace ID rather than names or fully qualified names.
  3. Workspace IDs can be found in the Overview pane of the Log Analytics workspace or using a KQL query in Azure Resource Graph Explorer.

How Netflix survived the AWS outage in 2011 [System Design Sundays]

Technology Made Simple • 39 implied HN points • 13 Feb 23
🕹 Technology Systems Design Resilience Cloud Computing
  1. Netflix utilized Open Connect Appliances to provide better streaming by localizing content on devices of certain ISPs.
  2. The use of Stateless-service architecture allows any server to step in if one fails, ensuring uninterrupted service.
  3. Netflix's redundancy strategy includes storing data in multiple zones, using 'n+1' redundancy, and employing graceful degradation techniques to maintain limited functionality in case of failure.

Make it resilient: Disaster Recovery Techniques

Cloud Weekly • 26 implied HN points • 27 May 23
🕹 Technology Cloud Computing 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.

Cloud Access Management Explained

Sarah's Newsletter • 79 implied HN points • 15 Mar 22
🕹 Technology Cloud Computing Networking Security
  1. Understanding networking components like VPCs, subnets, and security groups is crucial for cloud access management.
  2. AWS offers granular configuration but has a steep learning curve, while GCP has an easier start but controlling connections can be difficult.
  3. IAM roles are like shoes for people and dictate actions, while security groups are like hats granting network access to services.

Software Engineering Radio

One Thing at a Time • 19 implied HN points • 08 Jun 23
🕹 Technology Software Engineering Generative AI Cloud Computing Artificial Intelligence Programming
  1. Dave Cross shared his experience of being a guest on a podcast to discuss GitHub Actions.
  2. Dave Cross found Generative AI tools like ChatGPT and GitHub Copilot to significantly boost his productivity in coding.
  3. Dave Cross is exploring AI services like CodeWhisperer at the AWS Summit and is looking for work opportunities in Perl, Linux, web development, databases, and more.

Must Learn KQL Part 17: The Let Statement

Rod’s Blog • 19 implied HN points • 31 May 23
🕹 Technology Data Analysis Programming Cloud Computing
  1. The Let statement in KQL allows you to create variables that can be used throughout the query, aiding in better query performance.
  2. Let statements can be used to create variables either from scratch, from existing data, or from Microsoft Sentinel Watchlists.
  3. It's important to properly finalize the Let statement with a semicolon to ensure the variable is stored correctly for query execution.

Must Learn KQL Part 7: Schema Talk

Rod’s Blog • 19 implied HN points • 31 May 23
🕹 Technology Data Analysis Cloud Computing Query Language
  1. Understanding the table schema in KQL is vital as it helps in finding data in an organized manner with the use of columns and types.
  2. KQL column types are basic, time, and complex, and knowing them alters the query approach for specific columns.
  3. The UI in KQL provides shortcuts for querying tables, expanding tables to view schema, using functions like stored procedures, and filtering data columns.

Google and Microsoft integrate generative AI into consumer products: Can they change how we work?

Stemble - for the love of STEM! • 19 implied HN points • 21 Mar 23
🕹 Technology AI Tech Integration Consumer Products Cloud Computing Generative AI
  1. Google and Microsoft are integrating generative AI into consumer products like Gmail, Docs, Outlook, Bing, Edge, Teams, Word, and Excel.
  2. The integration of generative AI aims to simplify tasks for users and reduce their workload.
  3. Human oversight is important to ensure the accuracy and reliability of information generated by AI integrated products.