The hottest Cloud Computing Substack posts right now

And their main takeaways
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Top Technology Topics

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

Rod’s Blog • 39 implied HN points • 09 Oct 23
🕹 Technology Cloud Computing
  1. Fileless malware attacks are increasing and can be a serious threat to organizations as they evade traditional antivirus solutions by not relying on executable files.
  2. Microsoft Sentinel, a cloud-native security information and event management solution, can help detect and mitigate fileless malware attacks by collecting data at scale, utilizing analytics rules, and automating incident response.
  3. To prevent fileless malware attacks, consider using web filtering to block phishing emails, managed threat hunting for early detection, and indicators of attack (IOAs) analysis to identify malicious activities.

BYOK

Aipreneur • 39 implied HN points • 08 Mar 23
🕹 Technology Cloud Computing
  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 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.

NVIDIA Builds Safety Net

Sector 6 | The Newsletter of AIM • 39 implied HN points • 28 Aug 23
🕹 Technology Cloud Computing
  1. NVIDIA launched the AI Foundation, a cloud-based service that helps businesses use generative AI for different projects like medical research and artwork.
  2. They partnered with VMware to help companies create and use smart AI applications, like chatbots and virtual assistants.
  3. This move shows NVIDIA is trying to diversify its business and stay strong in the GPU market.
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Microsoft Sentinel SOC 101: How to Detect and Mitigate Cryptojacking Attacks with Microsoft Sentinel

Rod’s Blog • 39 implied HN points • 03 Oct 23
🕹 Technology Cloud Computing
  1. Cryptojacking involves using cloud resources to mine cryptocurrencies, leading to increased costs and performance issues for affected cloud customers.
  2. Common indicators of cryptojacking include high CPU/memory usage by unknown processes, unusual network traffic patterns, changes in cloud resource usage, and presence of malicious mining code.
  3. Microsoft Sentinel can help detect and respond to cryptojacking by analyzing data from various sources, applying advanced analytics, providing visualization dashboards, and enabling fast investigation and response using built-in playbooks.

Automated Reserved Instances

Ops Sorry • 39 implied HN points • 05 Jun 23
🕹 Technology Cloud Computing
  1. Companies nowadays focus on cost-effective approaches for efficiency and innovation.
  2. Efficiency is crucial for innovation and reinvestment in products and services.
  3. Automated Reserved Instances can provide automation, near full coverage, and instant savings, but careful assessment is needed before subscribing.

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
  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.

Azure Cracks the Code

Sector 6 | The Newsletter of AIM • 39 implied HN points • 08 Aug 23
🕹 Technology Cloud Computing
  1. Microsoft Azure is growing fast, making over $55 billion in revenue, which is more than half of Microsoft's cloud earnings.
  2. The cloud market is getting more competitive since the rise of Generative AI, with companies like Google Cloud also seeing big revenue increases.
  3. Azure's revenue grew by 23% recently, showing that it's gaining traction in the cloud space against established leaders.

Cross-workspace Query Best Practice for Microsoft Sentinel

Rod’s Blog • 39 implied HN points • 17 Apr 23
🕹 Technology Cloud Computing
  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.

Preparing the SOC for Generative AI

Rod’s Blog • 39 implied HN points • 05 Sep 23
🕹 Technology Cloud Computing
  1. Before implementing Generative AI in a SOC, it's important to configure incident tags to provide more information for AI.
  2. Assigning specific incidents to analysts based on skillsets through automation rules can enhance SOC efficiency.
  3. Practicing gathering information to create better Generative AI prompts is crucial for successful AI utilization in a SOC.

sqlmesh plan

davidj.substack • 59 implied HN points • 10 Dec 24
🕹 Technology Cloud Computing
  1. Virtual data environments in SQLMesh let you test changes without affecting the main data. This means you can quickly see how something would work before actually doing it.
  2. Using snapshots, you can create different versions of data models easily. Each version is linked to a unique fingerprint, so they don't mess with each other.
  3. Creating and managing development environments is much easier now. With just a command, you can set up a new environment that looks just like production, making development smoother.

Gambling with language models

Rain Clouds • 51 implied HN points • 31 Dec 24
🕹 Technology Cloud Computing
  1. Using AI models, like ModernBert, can help in predicting which stocks might perform better based on financial reports and market data. This means you can get insights without needing to be a finance expert.
  2. The project combines cloud computing with machine learning, making it easier to process large amounts of financial data quickly. This is important for anyone looking to analyze stocks more efficiently.
  3. While the model can make predictions, it's important to remember that investing in stocks always carries risks. Just because a model suggests a stock might do well, it doesn't guarantee success.

Big Tech and Generative AI Q3 '24 Update

Tanay’s Newsletter • 63 implied HN points • 04 Nov 24
🕹 Technology Cloud Computing
  1. Amazon is making big strides in AI by providing tools for developers and creating custom chips. They are seeing huge interest in their AI services, which are growing fast despite lower profit margins.
  2. Google is using AI to improve its search capabilities and has rolled out new features to enhance user experience. Their AI models, called Gemini, are being adopted widely across their products and they are investing significantly in infrastructure.
  3. Apple has launched its AI system, Apple Intelligence, focusing on privacy and enhancing the user experience of their products. Although they're investing in AI, their spending is still lower compared to competitors, but they plan to increase their efforts.

Tech Talks Weekly #4

Tech Talks Weekly • 19 implied HN points • 19 Feb 24
🕹 Technology Cloud Computing
  1. The newsletter summarizes recent tech talks from various conferences, making it easier for readers to find valuable content. It's a great resource for anyone interested in technology.
  2. Each issue features a selection of must-watch talks, along with a list of new uploads categorized by conference. This helps viewers easily discover trending topics in tech.
  3. Readers are encouraged to provide feedback on the newsletter format and share it with friends or colleagues to grow the community. It's all about connecting more people to interesting tech discussions.

Breakdown: the cloud infrastructure market

Technically • 21 implied HN points • 24 Jun 25
🕹 Technology Cloud Computing
  1. There are three main types of cloud infrastructure: IaaS, PaaS, and SaaS. Each one varies in how much help you get with building and managing your application.
  2. IaaS gives you full control, but requires a lot of work, while PaaS hands over some tasks to make things easier, and SaaS takes care of everything for you.
  3. The choice of cloud provider depends on what you need for your app and how much effort you're willing to put in. There are many options out there because apps today have many different parts that need support.

Catalog of Catalogs

davidj.substack • 59 implied HN points • 14 Nov 24
🕹 Technology Cloud Computing
  1. Data tools create metadata, which is important for understanding what's happening in data management. Every tool involved in data processing generates information about itself, making it a catalog.
  2. Not all catalogs are for people. Some are meant for systems to optimize data processing and querying. These system catalogs help improve efficiency behind the scenes.
  3. To make data more accessible, catalogs should be integrated into the tools users already work with. This way, data engineers and analysts can easily find the information they need without getting overwhelmed by unnecessary data.

An AWS For Sequencing?

ASeq Newsletter • 58 implied HN points • 16 Nov 24
🕹 Technology Cloud Computing
  1. Bioinformatics companies often struggle to succeed on their own, but some are finding unique ways to add value by providing analysis of sequencing data from external service providers.
  2. Just like how companies can use AWS for their server needs, the idea is to create an AWS-like platform specifically for DNA sequencing, making services easier and more accessible.
  3. Building a platform for sequencing could lower barriers for businesses and encourage new applications in the field, opening up more opportunities for innovation.

Dissecting the FedRAMP Authorization Act

Resilient Cyber • 99 implied HN points • 04 Dec 22
🇺🇸 U.S. Politics Cloud Computing
  1. The FedRAMP Authorization Act aims to improve how federal agencies adopt cloud services. It highlights the importance of cloud for modernizing old IT systems and creating jobs in the tech sector.
  2. A key change in the legislation is the creation of a Federal Secure Cloud Advisory Committee. This group will include experts from both the government and private sector to streamline cloud service authorizations and improve communication.
  3. Another important aspect is the 'Presumption of Adequacy', which allows agencies to trust existing FedRAMP authorizations without needing extra checks. This should reduce the repetitive security assessments that cloud service providers currently face.

GroupBy #18: Uber - GC Tuning for Improved Presto Reliability, How Meta is advancing GenAI

VuTrinh. • 19 implied HN points • 16 Jan 24
🕹 Technology Cloud Computing
  1. Uber improved its Presto reliability by tuning garbage collection. This helps the system run better and more dependably.
  2. Meta is making strides in generative AI, focusing on how it can bring new advancements. The future looks promising for AI technologies.
  3. Python 3.13 introduced a Just-In-Time (JIT) compiler, which could speed up programming processes. This is a beneficial development for Python users.

GroupBy #17: Pinterest’s new wide column database using RocksDB, Fault tolerance Kafka on Kubernetes at Grab

VuTrinh. • 19 implied HN points • 09 Jan 24
🕹 Technology Cloud Computing
  1. Pinterest has developed a new wide column database using RocksDB for better data handling. This helps them manage large amounts of data more efficiently.
  2. Grab improved Kafka's fault tolerance on Kubernetes, ensuring their real-time data streaming service runs smoothly even when problems occur.
  3. The newsletter will evolve, offering more content types like curated resources on data engineering and personal insights every week.

sqlmesh migrate

davidj.substack • 47 implied HN points • 20 Dec 24
🕹 Technology Cloud Computing
  1. If you're using dbt to run analytics, switching to sqlmesh is a good idea. It offers more features and is easy to learn while still being compatible with dbt.
  2. sqlmesh helps manage data environments and is more comprehensive in handling analytics tasks compared to dbt. It's simpler to transition from dbt to sqlmesh than from older methods like stored procedures.
  3. When using sqlmesh, think about where to run it and how to store its state. You have choices like using a different database or a cloud service, which can save you money and hassle.

The massive DeepSeek affect

TP’s Substack • 37 implied HN points • 15 Feb 25
🕹 Technology Cloud Computing
  1. DeepSeek has gained huge popularity in China, surpassing major competitors and reaching 30 million daily active users. This shows that users really like its features.
  2. Chinese companies are rapidly integrating DeepSeek into their products, from smartphones to cars, suggesting that more devices will soon be using this powerful AI tool.
  3. The rise of DeepSeek is changing how people in China use AI and might even provide better search options compared to existing services like Baidu. It's a big deal for the tech industry there.

DataFrame

davidj.substack • 35 implied HN points • 20 Feb 25
🕹 Technology Cloud Computing
  1. Polars Cloud allows for scaling across multiple machines, making it easier to handle large datasets than using just a single machine. This helps in processing data faster and more efficiently.
  2. Polars is simpler to use compared to Pandas and often performs better, especially when transforming data for machine learning tasks. It supports familiar methods that many users already know.
  3. Unlike SQL, which runs well on cloud services, using Pandas and R for large-scale transformations has been challenging. The new Polars Cloud aims to bridge this gap, providing more scalable solutions.

GroupBy #16: Uber's Anomaly Detection & Alerting System, many layers of data lineage

VuTrinh. • 19 implied HN points • 02 Jan 24
🕹 Technology Cloud Computing
  1. Uber has developed an anomaly detection system called uVitals, which helps identify issues before they become major problems. It analyzes data patterns to catch anomalies early.
  2. Data modeling is essential for creating structured databases that allow for better analysis and comparisons. It's important for data projects to have clear designs.
  3. As the field of data engineering evolves, new roadmaps and resources are emerging to guide professionals in developing necessary skills. Staying updated can help engineers advance their careers.

Google DeepMind's AI playbook for engineering at hyperspeed | Philipp Schmid

Dev Interrupted • 18 implied HN points • 17 Jun 25
🕹 Technology Cloud Computing
  1. AI is changing how engineers work and learn. It's making it easier for new people to start coding and improving team collaboration.
  2. Using AI tools effectively requires continuous learning and adapting. Engineers should stay open-minded and embrace new technology to thrive.
  3. There's still a gap between what leaders expect from AI and what developers actually experience. Just adding AI doesn't guarantee better productivity, so thoughtful integration is key.

Building a Compliance and AppSec Program for a Federal Platform-as-a-Service (PaaS)

Resilient Cyber • 59 implied HN points • 11 Apr 23
🕹 Technology Cloud Computing
  1. Building a compliance and AppSec program for a federal Platform-as-a-Service is challenging. It's important to understand which security controls can be inherited by development teams.
  2. Scaling the compliance program across multiple teams can lead to unique challenges. It's crucial to onboard each team effectively while minimizing their workload.
  3. Developers need support in balancing security and compliance with their work. Educating auditors about cloud practices is also important for smoother collaboration.

GroupBy #14: What it takes to be a Senior IC at Meta, Netflix Data Engineering Summit

VuTrinh. • 19 implied HN points • 19 Dec 23
🕹 Technology Cloud Computing
  1. To be a Senior Individual Contributor at Meta, focus on quickly adding value and aligning with the organization's goals. It's about making an impact and building good relationships within the team.
  2. Data modeling involves creating a shared understanding between business and data teams. It's essential for delivering valuable insights and ensuring everyone is on the same page.
  3. Job hopping in data engineering can be successful with the right approach. Make sure to deliver value early on and always be ready for new opportunities while enjoying your work-life balance.

Big Tech x Generative AI Q3 '24 Update (Part 2)

Tanay’s Newsletter • 44 implied HN points • 11 Nov 24
🕹 Technology Cloud Computing
  1. Meta is focusing on open-source AI with the Llama models, claiming they are the most cost-effective and customizable option for developers. They are set to release even better versions soon.
  2. Microsoft’s AI business is booming, especially through their Azure Cloud, with expected revenue surpassing $10 billion. They are integrating AI across many of their products, driving impressive growth.
  3. Both companies are seeing success in using AI to enhance user engagement and advertising effectiveness. Meta has increased user time on their platforms, while Microsoft's AI tools are helping businesses save time and improve efficiency.

Troublesome Tenants

Resilient Cyber • 59 implied HN points • 16 Jan 23
🕹 Technology Cloud Computing
  1. The PEACH Framework helps with cloud security by focusing on tenant isolation. It gives guidance on how to keep different customer data safe from each other.
  2. Multi-tenancy in cloud computing can bring risks, especially if security isn't handled correctly. It's important for both cloud service providers and users to understand these risks and take steps to protect themselves.
  3. Effective tenant isolation involves using several methods, like reducing complexity and improving separation. These strategies help ensure that one tenant's data doesn’t accidentally mix with another's.

($) Do We Need Sovereign AI?

Interconnected • 77 implied HN points • 17 Mar 24
🕹 Technology Cloud Computing
  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.

Cloud Access Management Explained

Sarah's Newsletter • 79 implied HN points • 15 Mar 22
🕹 Technology Cloud Computing
  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.

It's TCP vs. RPC All Over Again

Systems Approach • 154 HN points • 20 Feb 23
🕹 Technology Cloud Computing
  1. Debate continues on the need for a standard protocol for request/response paradigm beyond TCP and UDP.
  2. The Internet has extensively used RPC for distinct purposes like email, network management, and name resolution.
  3. Comparisons between TCP and RPC in datacenters highlight the need for a specialized transport protocol optimized for request/reply workloads.

GroupBy #5: The story of S3, Kafka at scale and the boring is back

VuTrinh. • 19 implied HN points • 17 Oct 23
🕹 Technology Cloud Computing
  1. S3 is a big storage system used for data, and understanding how it's built can help improve data handling. It's cool to know how tech like this works.
  2. Running Kafka at scale is interesting, especially for companies like Pinterest. It shows how important reliable data flow is in tech.
  3. There's a trend of making things simpler and more efficient in engineering. Sometimes, going back to basics can solve complex problems.

I fought a DDoS and lived to tell the tale

FunkByteTech • 3 HN points • 03 Jun 24
🕹 Technology Cloud Computing
  1. Prepare for unexpected challenges like DDoS attacks by having suitable defenses like Web Application Firewalls (WAF) in place.
  2. Stay vigilant and adaptive during a DDoS attack, making use of tools like Load Balancer access logs and being ready to block traffic from unwanted sources.
  3. After facing a DDoS attack, reflect on the experience to learn and improve, reinforcing your defense mechanisms for potential future attacks.