The hottest Cloud Substack posts right now

And their main takeaways
Category
Top Technology Topics

Streamlining Your Database Management: Setting Up PostgreSQL with Docker and pgAdmin

DataSketch’s Substack • 1 HN point • 03 Sep 24
🕹 Technology Database Software Development Cloud Open Source
  1. PostgreSQL is a great choice for databases because it's reliable, flexible, and open-source. Its advanced features make it suitable for various projects.
  2. Using Docker makes managing PostgreSQL easier by providing isolation, portability, and quick setup. This allows you to run the database without conflicts and move it easily between environments.
  3. pgAdmin is a useful tool for managing PostgreSQL databases. Running it in Docker alongside PostgreSQL gives you a flexible way to interact with your database through a web browser.

Perplexity Election Information Hub, Speakeasy $15M, OpenAI Cheaper RealTime API

The API Changelog • 3 implied HN points • 05 Nov 24
🕹 Technology APIs AI Cloud Software Tech news
  1. Google Cloud has launched a new feature that helps developers get real-time and accurate information by pulling data from Google Search. This reduces errors in AI responses and gives users direct links to sources.
  2. OpenAI has made its RealTime API much cheaper, cutting costs dramatically for developers creating voice applications. This update will help more developers use advanced voice technology.
  3. Speakeasy has secured $15 million in funding to improve API development tools. This is important because there is a growing need for better tools to create high-quality APIs.

Game On

Sector 6 | The Newsletter of AIM • 19 implied HN points • 06 Nov 23
🕹 Technology Gaming Cloud Artificial Intelligence Video Processing Digital Media
  1. Sony has bought a UK company called iSIZE, which uses deep learning to improve video delivery. This could make cloud gaming better.
  2. iSIZE is known for creating lifelike digital characters and focuses on 2D and 3D modeling for games and virtual worlds.
  3. Sony believes cloud gaming is important for the future because people want to play games on the go, and this technology will help them do that.

The Unsung Hero of AI

Sector 6 | The Newsletter of AIM • 19 implied HN points • 20 Aug 23
🕹 Technology AI Business Cloud Innovation Software
  1. First movers in tech tend to focus on social service, while second movers look to make profits. For example, OpenAI is paving the way in AI, while Databricks is focusing on business opportunities.
  2. The AI industry is seeing key players like OpenAI and Databricks rising to the top, with OpenAI being recognized as a leader in providing AI tools.
  3. Databricks has partnered with Microsoft to help businesses create AI applications, highlighting a trend of major companies joining forces to enhance enterprise capabilities.
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Quietly Selfish with My Apple

Sector 6 | The Newsletter of AIM • 19 implied HN points • 26 Jul 23
🕹 Technology Software Hardware AI Cloud Development
  1. Apple provides a lot of tools for developers, including new ones for creating interactive 3D content. But these tools are mainly for Apple developers, limiting broader access.
  2. Apple has a closed approach to developing its generative AI technology, keeping it exclusive while using open-source resources like Google Jax for some of its systems.
  3. While Apple uses other companies' technologies, it prefers to build its own ecosystem, which can make it hard for outside developers to join in.

Clouded Judgement 10.18.24

Clouded Judgement • 7 implied HN points • 18 Oct 24
🕹 Technology Software AI Enterprise Data Cloud
  1. Enterprise software has always relied on systems that store data, but the real value comes from how people use that data in workflows. It's not just about the data, but how it's managed and processed.
  2. AI is set to change this by taking over the data entry tasks that humans typically do. This means less focus on user interfaces and more on how efficiently AI can handle and process data automatically.
  3. With this shift to AI-driven systems, we will see new ways of building applications that prioritize smart databases. This could make traditional systems less important and create a need for new tools to manage complex workflows.

Databricks’ AI Strategy in a Nutshell

Enterprise AI Trends • 4 HN points • 25 Jun 24
🕹 Technology AI Data Governance Enterprise Cloud
  1. Databricks is growing in enterprise AI by focusing on data and AI governance with its Unity Catalog. This tool helps businesses manage how they use and share data and AI apps.
  2. Data governance is a big challenge for companies using AI. Without proper management, there can be serious security issues, especially with sensitive customer data.
  3. Unity Catalog makes it easier for Databricks to sell other services. Once companies start using it, they find it helps with many areas, leading to more business opportunities for Databricks.

Google’s Ethical Dilemma, Cloud leaders & Maths

Sector 6 | The Newsletter of AIM • 19 implied HN points • 21 Mar 21
🕹 Technology AI Data Cloud Ethics Analytics
  1. Google is facing tough choices about ethics in AI development. They need to balance innovation with responsibility to avoid negative impacts.
  2. Leaders in cloud computing are crucial for the growth and integration of AI technology. Their strategies will shape the future of this industry.
  3. Mathematics underpins AI and data analytics. A strong understanding of math is essential for anyone looking to work in these fields.

Middleware - Bringing observability up to speed

Termsheet by Attack Capital • 4 HN points • 04 Apr 23
🕹 Technology Observability AI Cloud Microservices Startup
  1. Founder Laduram Vishnoi's frustration with high costs of cloud observability tools led to the creation of Middleware.
  2. Middleware addresses challenges with traditional observability tools by offering a comprehensive and unified solution for cloud-native and microservices.
  3. Middleware uses AI-powered algorithms, is vendor agnostic, and correlates data from various sources to provide real-time observability and streamline issue debugging.

Microintelligences or AIs talking to AIs in the cloud

Metacritic Capital • 2 HN points • 26 May 23
🕹 Technology AI Automation Software Cloud Artificial General Intelligence
  1. Microintelligences can perform tasks in open scopes that traditional APIs couldn't handle.
  2. Software is evolving to have systems communicate with each other through APIs, shifting from human-to-software interactions.
  3. Generative AI conversing in the cloud can help reduce randomness and create more predictable outcomes by leveraging architectures like Google's ReAct.

The Challenge of East-West Traffic

Systems Approach • 1 HN point • 24 Jul 23
🕹 Technology Networking Security Data Centers Cloud
  1. The distinction between North-South and East-West traffic in datacenter security is crucial for addressing security concerns.
  2. Historically, perimeter security with centralized appliances at ingress/egress points was common but proved inadequate in protecting against lateral attacks.
  3. Network virtualization allows for a more effective approach to securing East-West traffic by implementing distributed firewalls.

Who Will Rule The World?

Sector 6 | The Newsletter of AIM • 0 implied HN points • 20 Apr 23
🕹 Technology AI Innovation Cloud Data Ethics
  1. AI is evolving fast and might become very powerful in the future. It's changing how we live and work every day.
  2. Experts warn that if we don't take action, this powerful AI could have negative effects on society. We need to think about how we use it.
  3. Just like natural selection, AI could be a strong force that shapes our world. We need to be careful and responsible with this technology.

Replit Outshines Amazon & Microsoft

Sector 6 | The Newsletter of AIM • 0 implied HN points • 18 Apr 23
🕹 Technology AI Software Cloud Development Data
  1. Replit is getting help from Google to make coding easier and faster, claiming it can help programmers finish projects in a fraction of the time.
  2. In India, Replit is leading the way in helping new software developers, with the number of developers expected to grow significantly this year.
  3. This partnership is aimed at competing with big names like Microsoft and Amazon in the coding and AI space.

How to remove Nx cloud from your app

Shrek's Substack • 0 implied HN points • 24 Aug 23
🕹 Technology Software Development Cloud Performance Tools
  1. Nx Cloud can speed up tasks for big teams, but small projects might not need it. It's okay to skip it if you're working solo or on smaller tasks.
  2. If you encounter errors using Nx Cloud, switching to local runners is a good solution. Local runners can handle tasks without relying on the cloud.
  3. To remove Nx Cloud from your app, just change a setting in the nx.json file and switch to a local runner. You can also uninstall Nx Cloud easily with a command.

Welcome to Tech Thoughts—Brace for Impact!

Tech Thoughts • 0 implied HN points • 07 Sep 24
🕹 Technology AI Cloud Startups Coding Data
  1. The tech world is full of noise and hype, and there's a need for straight talk about what's really happening. It’s time to cut through the fluff.
  2. Expect strong opinions and simple explanations about tech trends, startups, and more. It's about being honest, not sugar-coating things.
  3. This platform is a space for discussion and debate. Everyone's welcome to share their thoughts, even if they disagree.

Underdog joins the fight

ML Under the Hood • 0 implied HN points • 05 Oct 23
🕹 Technology AI Cloud Models ML
  1. Anthropic partners with Amazon in a $4B deal, offering access to second best LLM model through an API on AWS Bedrock
  2. Cloudflare introduces Workers AI to run low-power LLM models worldwide, aiming for data localization compliance
  3. Mistral AI releases a powerful 7B model with Apache 2.0 license, outperforming larger models and providing true open-source capability

Testing Lambda and S3 code with VSCode and Jest

realkinetic • 0 implied HN points • 19 Mar 24
🕹 Technology AWS Development Testing Debugging Cloud
  1. When developing AWS data pipelines with Lambda and S3, setting up unit tests early can catch bugs and speed up development time.
  2. Using tools like VSCode and Jest can help streamline the testing process for AWS infrastructure code.
  3. Utilizing mock libraries like aws-sdk-client-mock allows for effective testing of data processing functions in Lambda.

Choosing Good SLIs

realkinetic • 0 implied HN points • 19 Feb 24
🕹 Technology Monitoring Cloud Metrics
  1. Transitioning from on-premises to cloud environments requires a shift in monitoring practices, avoiding traditional data center-focused metrics that may not apply well to cloud-native systems.
  2. Select SLIs based on the customer experience, focusing on key metrics like traffic rate, error rate, and latency that directly impact user satisfaction.
  3. Ensure SLIs are user-centric to proactively monitor and improve customer experience, avoiding distractions with irrelevant metrics that do not align with actual user needs.

SRE Doesn’t Scale

realkinetic • 0 implied HN points • 06 Oct 21
🕹 Technology SRE Microservices Cloud DevOps Infrastructure
  1. Implementing SRE in organizations, especially with microservices and cloud, can lead to significant challenges and disruptions.
  2. Scaling the traditional SRE model with microservices becomes resource-intensive and difficult due to the vast number of services to support.
  3. To address scalability issues, consider a framework-oriented model, standardizing tools, codifying best practices, and involving shared responsibility between SRE and development teams.

Cloud strategies for COVID-19

realkinetic • 0 implied HN points • 06 Apr 20
🕹 Technology Cloud Online Services Infrastructure Scaling Resilience
  1. During times of high demand, clear communication and expectation setting with users is crucial for maintaining trust and loyalty.
  2. When facing unprecedented traffic spikes, focus on core functionalities and implement strategies like load shedding and graceful degradation to ensure application reliability.
  3. Effective cloud infrastructure management, such as leveraging multiple availability zones, aggressive caching, and setting limits for resources, is essential in providing a good user experience and handling fluctuating demands.

Operations in the World of Developer Enablement

realkinetic • 0 implied HN points • 24 Jan 19
🕹 Technology Operations DevOps Cloud Database Infrastructure
  1. NewOps is an evolution of DevOps, focusing on Operations through a product lens to shift Ops teams from masters of production to enablers of production.
  2. Developer Enablement empowers dev teams to control their own destiny, extending responsibilities beyond building products to include testing, security, deployment, and operation of systems.
  3. In the world of Developer Enablement in the cloud, Operations teams take on more advisory roles, providing domain expertise, guidance, and ensuring dev teams consider key operational aspects early in the development process.

Bas' Take on Tech: Tech Industry Economics, Cloud, Buzz, Roberto's Thoughts

Bas' Take on Tech • 0 implied HN points • 07 Mar 23
🕹 Technology Economics Cloud Programming Hardware
  1. Tech industry is facing challenges like layoffs and funding pullback, making it tough for job seekers and startup founders.
  2. Cloud and systems domain is evolving with multi-cloud infrastructure, benchmarking, and developer experience insights.
  3. Buzz section highlights new launches like M3 iMacs and 15" MacBook Air, along with unique offerings from companies like Match and Twitter.

The Math Behind Running AI Models on Krutrim AI Cloud

Sector 6 | The Newsletter of AIM • 0 implied HN points • 05 Jun 24
🕹 Technology AI Cloud Analytics Software Infrastructure
  1. Ola is saving a lot of money by using Krutrim AI Cloud instead of larger cloud services like Microsoft Azure and AWS. This change helps them cut costs by about 15 crore INR each year.
  2. Cloud costs can be extremely high, as noted by the daily expense of 5 lakh INR that Ola was previously paying. Reducing these costs is important for businesses.
  3. The founder of Qure AI highlighted the issues with cloud spending, suggesting that it's a smart move for companies to look for more affordable options like Krutrim AI Cloud.

GenAI Revenue Soars Like Never Before

Sector 6 | The Newsletter of AIM • 0 implied HN points • 27 May 24
🕹 Technology AI Software Hardware Data Cloud
  1. NVIDIA had an incredible revenue increase of 629% compared to last year, showing how much generative AI is growing. It’s like finding unexpected money!
  2. Their data center revenue reached $22.6 billion, which is also a record. Demand for their GPU technology is really high right now.
  3. The success of generative AI is not slowing down, and NVIDIA is a key player in this tech market, with a 95% control over AI chip sales.

The Land of the Rising AI 🌞🇯🇵

Sector 6 | The Newsletter of AIM • 0 implied HN points • 17 Apr 24
🕹 Technology AI Cloud Innovation Business Partnerships
  1. OpenAI has opened its first office in Tokyo and released a special version of GPT-4 tailored for Japan. This is expected to encourage creativity and help local industries.
  2. Microsoft has invested nearly $2.9 billion in AI and cloud services in Japan. This move aims to enhance skills, research, and cybersecurity in the region.
  3. There is a growing interest and investment in AI technology in Japan, indicating a positive future for its development and integration into various sectors.

GenAI the Oracle Way

Sector 6 | The Newsletter of AIM • 0 implied HN points • 23 Jan 24
🕹 Technology AI Cloud Data Enterprise Software
  1. Oracle has launched its own Generative AI service that aims to provide better data security for businesses. This means companies can explore AI without worrying as much about safety.
  2. The service is integrated across all levels of Oracle's technology, making it easier for users to access AI tools. This can help businesses adopt AI solutions more effectively.
  3. Oracle's introduction of new Large Language Models (LLMs) like Llama 2 shows its commitment to staying competitive in the cloud service market. This supports a growing demand for advanced AI capabilities.

Indian IT ‘GenAI’ Quarterly Report

Sector 6 | The Newsletter of AIM • 0 implied HN points • 23 Oct 23
🕹 Technology AI IT Automation Training Cloud
  1. Indian IT companies are focusing heavily on generative AI, with big players like TCS, Infosys, and Wipro training thousands of employees in this area.
  2. Despite this training effort, many firms are seeing a decline in total employee headcount, as they prioritize upskilling over hiring new freshers.
  3. Wipro is leading in employee training for generative AI, while TCS is ahead in adopting AI products and services with their clients.

Google or Microsoft?

Sector 6 | The Newsletter of AIM • 0 implied HN points • 23 Apr 23
🕹 Technology AI Software Cloud Data Innovation
  1. NVIDIA is leading the way in AI, but the race between Google and Microsoft is heating up. Both companies have their strengths, making it hard to declare a clear winner.
  2. Microsoft might be better at business and selling their AI tools, while Google could have the edge in the quality of their AI models.
  3. The competition is not only about technology but also about how well these companies can use their AI for practical applications.