The hottest Cloud Computing Substack posts right now

And their main takeaways
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How AI is changing education; Bard and ChatGPT are reshaping our relationship with the internet; tech companies chase wearable AI; Gemini goes into Google Cloud

Computerspeak by Alexandru Voica • 0 implied HN points • 15 Dec 23
🕹 Technology AI Education Wearable Tech Cloud Computing Large Language Models
  1. AI is transforming education by personalizing learning, making it more engaging, and accessible to all.
  2. Advances in AI models like ChatGPT are creating opportunities for teachers to focus on building meaningful relationships and inspiring curiosity in students.
  3. While AI tutors can offer personalized lessons and feedback, they currently lack emotional intelligence and reasoning, making human teachers and classrooms irreplaceable for now.

Multi-region Deployments with CDK

Making It Up • 0 implied HN points • 28 Mar 24
🕹 Technology Cloud Computing Software Development
  1. When deploying resources in the AWS Cloud, you gain access to a global computing network that can be leveraged through CDK.
  2. Root Stack with Substacks helps create a clear hierarchy, centralization for building dependencies, and a non-regional stack for global resources.
  3. Deploying stacks directly allows for a more traditional IaC experience with the benefit of simpler deployment, but using CDK still provides access to higher level constructs and component libraries.

Organize Your CDK lib Folder by Function Not Service

Making It Up • 0 implied HN points • 08 Mar 24
🕹 Technology Cloud Computing Infrastructure as Code Software Development
  1. Consider organizing your CDK lib folder by function instead of service for more efficient development.
  2. Structuring your CDK resources based on function can lead to easier maintenance and deployment of related functionalities.
  3. Explore different organizational patterns in CDK to find what works best for your project and share useful patterns with the community.

Understanding the BYOC Deployment Model

Tributary Data • 0 implied HN points • 25 Sep 23
🕹 Technology Cloud Computing Data Privacy Cloud Infrastructure
  1. BYOC model allows organizations to maintain data privacy and sovereignty while benefiting from managed cloud services.
  2. BYOC offers benefits like control and customization, data portability, vendor lock-in mitigation, and cost optimization.
  3. BYOC operational model involves data plane and control plane functions, allowing organizations to have control over their cloud infrastructure while the vendor manages remotely.

Stay The Hell Away from Anything That's Not Cloud Portable

DevOps, K8s, and the Cloud • 0 implied HN points • 24 Apr 24
🕹 Technology Cloud Computing Software Development
  1. Prioritize using standard, open, and protocol-compliant cloud resources for flexibility and portability.
  2. Wrap proprietary cloud services in clean abstractions to easily switch between cloud providers if needed.
  3. Consider leveraging portable alternatives like Redis, RabbitMQ, or Apache Kafka instead of proprietary cloud services for scalability and flexibility.
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Today’s Top 5 HN posts

Top 5 HN Posts of the day • 0 implied HN points • 15 Apr 24
🕹 Technology Web Development Software Tools Cybersecurity Cloud Computing Job Opportunities
  1. Today's Top 5 HN posts are visualized with Transformer's Heart, a tool to clean webpages to Markdown, and Kate editor available on all platforms.
  2. The HN posts include interesting topics like a cat alerting about a DDoS attack and Neon Serverless Postgres becoming generally available.
  3. Bonus job opportunities highlighted are at Recall.ai hiring an engineer and Meticulous aiming to eliminate E2E UI tests.

6/6 TBC Insider Digest

Tech Buzz China Insider • 0 implied HN points • 07 Jun 21
🕹 Technology Tech news China tech E-commerce Operating Systems Cloud Computing
  1. The 3-child rule in China and the crackdown on EdTech are linked to efforts to increase fertility by addressing the high cost of education.
  2. AiHuiShou's IPO brought attention to the secondhand market for consumer electronics, and showed the close ties with JD.
  3. Huawei's HarmonyOS 2.0 release aims to power a wide range of devices beyond smartphones, highlighting its adaptability across IoT products.

Who is Sridhar Ramaswamy and what does this mean for Snowflake? [Substack edition]

The Orchestra Data Leadership Newsletter • 0 implied HN points • 15 Apr 24
💼 Business Technology Finance Data Analytics AI Cloud Computing
  1. Sridhar Ramaswamy takes over as Snowflake's CEO, bringing a fresh perspective after Frank Slootman's departure.
  2. Snowflake is consolidating the 'Data Plane' within their platform, offering features like anomaly detection and data quality testing.
  3. Snowflake aims to democratize AI, providing easy access to AI services using data within the Snowflake platform.

The Unstructured Data Funnel

The Orchestra Data Leadership Newsletter • 0 implied HN points • 15 Dec 23
🕹 Technology Data Engineering Cloud Computing Machine Learning Data Analytics Data processing
  1. Unstructured data, like text documents and deeply nested JSON, is a crucial component in data processing for large cloud vendors like Snowflake and Databricks. The location where unstructured data is processed within the data pipeline greatly impacts the compute costs and revenue for these companies.
  2. Processing unstructured data involves a series of stages, from data movement to storage in object storage, then to structured data warehouses. Each stage of this 'funnel' affects computational requirements and costs, with the most logical point for processing unstructured data being at the object storage level.
  3. The final step in the data funnel, data activation, involves the least computational demands as it deals with cleaned and aggregated data ready for analytical applications. Thinking strategically about the processing location of unstructured data can help optimize costs and efficiency in data workflows.

Data Leadership #4 knowing when to rip out your infrastructure

The Orchestra Data Leadership Newsletter • 0 implied HN points • 15 Oct 23
🕹 Technology Data Operations Cloud Computing Business Intelligence Data architecture
  1. Knowing when to shift left on security is crucial to preventing data breaches and maintaining a secure network infrastructure.
  2. Re-evaluating the usefulness and uptake of self-service analytics tools can help in optimizing resources and avoiding unnecessary costs.
  3. Carefully analyzing cloud warehouse costs and data movement can lead to cost savings and efficient data management.

Data Leadership #2 Understanding Data Lake Architecture

The Orchestra Data Leadership Newsletter • 0 implied HN points • 08 Oct 23
🕹 Technology Data Management Cloud Computing Data Warehousing Data Analysis
  1. Understanding the architectural structure of data lakes is crucial for data leaders to make informed decisions on data storage.
  2. File formats play a significant role in data storage efficiency, querying capabilities, and overall costs in a data lake architecture.
  3. Choosing between data lake providers or data warehouses can be complex due to the influence of underlying technologies, like object stores and file formats.

Excel hell and the Power Platform

Power Platform News • 0 implied HN points • 24 Apr 24
🕹 Technology Data Analysis Cloud Computing
  1. Excel Hell can lead to version control nightmares, data silos, errors, and limited scalability.
  2. Power Platform provides Power BI for data analysis, Power Apps for building apps, and Power Automate for automating workflows.
  3. Adopting Power Platform can streamline processes, improve collaboration, provide enhanced insights, and offer agility and flexibility.

PowerApps beginner Series #1 - Dev Program and Azure fundamentals

Power Platform News • 0 implied HN points • 28 Dec 23
🕹 Technology Programming Software Development Cloud Computing
  1. Some aspects of the Microsoft PowerUp program can be improved, like the absence of OneDrive or SharePoint with associated emails.
  2. For new Power Platform Developers, the best way to start is by signing up for Office 365 Dev program, creating a development environment, and using make.powerapps.com to begin.
  3. Start with essential tools like PowerApps or Power Automate before delving into more complex topics like RPA to have a smoother learning journey.

Làm web

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 19 Nov 12
🕹 Technology Web Development Design Hosting Productivity Tools Cloud Computing
  1. Consider using Bootstrap as it provides helpful solutions for basic web design needs like layout, grid systems, and responsive UI, along with various UI elements.
  2. Utilizing Google Docs and Google Apps Script can be powerful for creating forms and automating tasks like sending email notifications to users, demonstrating versatility in handling different types of data.
  3. For website hosting options, consider services like Linode, Google App Engine, or Amazon EC2 based on your specific needs for scalability and server requirements.

Hội thảo Tết 2012

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 10 Dec 11
🕹 Technology Cybersecurity Web applications Mobile devices Cloud Computing E-commerce
  1. Ticket prices for the workshop vary based on registration date with a 50% discount available for valid student ID holders.
  2. The workshop welcomes submissions on a wide range of topics related to web applications, mobile devices, cloud computing, e-commerce, and cybersecurity.
  3. The annual workshop organized by HVA and VNSECURITY focuses on practical experiences and latest developments in information security locally and globally.

này là cloud computing

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 02 Aug 09
🕹 Technology Cloud Computing Data Storage Infrastructure Security Startups
  1. Cloud computing trends take time to reach different regions; blogging, web 2.0, and now cloud computing are examples of such trends.
  2. The success of cloud computing services lies in cost-effectiveness and the ability to handle large amounts of data for many users.
  3. Developing a public cloud computing service requires a high level of expertise, infrastructure, and financial resources, making it a playground for top tech giants.

Learning AWS: Why Doing AWS Certification Is a Big Mistake

Weekend Developer • 0 implied HN points • 07 Apr 23
🕹 Technology Certification Cloud Computing Programming Languages
  1. Certification makes you learn many AWS services, but most jobs only require a few. Focus on core services like EC2, Lambda, S3, DynamoDB, IAM for practical job readiness.
  2. Studying for certification often involves practice quizzes, but real-world experience is key. Building projects and solving actual problems is more valuable than just exam prep.
  3. Instead of broad knowledge with certification, aim for deep understanding of select services and hands-on projects. Learn cloud computing concepts, master a few key services, and apply them practically.

Shipping Fast with FastAPI and Cloud Run

realkinetic • 0 implied HN points • 28 May 24
🕹 Technology Programming Cloud Computing APIs Containers Development
  1. Building APIs with FastAPI and deploying them on Cloud Run can help you ship features quickly while maintaining enterprise standards and leveraging cloud resources.
  2. To ship a backend API using FastAPI and Cloud Run, you will need to work with Python >= 3.10, Google Cloud services, Docker for containerization, and establish logging, monitoring, and testing strategies.
  3. By combining FastAPI for API development, Firestore for database interaction, and Cloud Run for deployment, you can create a robust backend system that can be efficiently tested, deployed, and managed in the cloud.

Implementing Attribute-Level Encryption with DynamoDB

realkinetic • 0 implied HN points • 01 May 24
🕹 Technology Encryption Databases Cloud Computing Programming Data security
  1. When working with sensitive data, having a strong security story and implementing attribute-level encryption is crucial.
  2. For extremely sensitive data, transparent encryption may not be sufficient, and application-level encryption adds an extra layer of security.
  3. Implementing attribute-level encryption for Amazon DynamoDB with KMS in Python can be achieved through a pattern using Lambda as the runtime, with the architecture built and managed using AWS CDK.

How Konfig provides an enterprise platform with GitLab and Google Cloud

realkinetic • 0 implied HN points • 29 Apr 24
🕹 Technology Cloud Computing Security Enterprise Solutions
  1. Addressing security, governance, maintainable infrastructure, and speed to production are constant challenges in software development.
  2. Konfig offers an enterprise integration of GitLab and Google Cloud, providing a pre-assembled solution that focuses on security, governance, and scalability.
  3. By taking an opinionated stance, Konfig bridges the gap left by flexible platforms, enforcing best practices and enabling efficient, maintainable infrastructure.

Introducing Konfig: GitLab and Google Cloud preconfigured for startups and enterprises

realkinetic • 0 implied HN points • 04 Apr 24
🕹 Technology Cloud Computing Software Development Enterprise Solutions Infrastructure as Code
  1. Konfig provides preconfigured solutions for GitLab and Google Cloud, streamlining setup for startups and enterprises to focus on software development.
  2. The Platform as Code approach by Konfig allows for faster time-to-production, enterprise-grade security, and a scalable model that balances governance with team autonomy.
  3. Konfig serves as an opinionated internal developer platform specializing in cloud migrations and app modernization, offering a great user experience for developers.

Cloud without Kubernetes

realkinetic • 0 implied HN points • 12 Feb 24
🕹 Technology Cloud Computing Serverless Containerization Platform Engineering
  1. The industry has mainly focused on Kubernetes as the go-to cloud solution, but serverless options like Cloud Run can be effective for certain use cases and offer cost-efficiency.
  2. Cloud Run offers a simplified platform for businesses with cyclical traffic patterns and minimal need for Kubernetes-level complexity, allowing developers to focus on delivering value rather than managing infrastructure.
  3. Adopting Cloud Run can provide a flexible, cost-effective cloud solution that maintains the option to evolve to a more complex platform as needed, catering well to 'normal' businesses outside of internet-scale operations.

Data Engineering: A Software Engineer’s Approach

realkinetic • 0 implied HN points • 25 Jan 24
🕹 Technology Software Engineering Data Engineering Cloud Computing Data Analytics Data Infrastructure
  1. The tech industry varies in its expectations of data engineers, leading to challenges in team performance and hiring.
  2. Companies today need to be data-driven, utilizing modern data stack tools, which necessitates a blend of data engineering and software engineering skills.
  3. Data engineering benefits from adopting software engineering principles like treating systems as products, clear communication, and implementing CI/CD pipelines.

Setting Up Google Cloud Composer in a Shared VPC Network

realkinetic • 0 implied HN points • 15 Jan 24
🕹 Technology Cloud Computing Google Cloud Networking Infrastructure as Code
  1. Plenty of resources are available for setting up a Cloud Composer environment in a single GCP project, but integrating it into a professional enterprise environment with a Shared VPC network can pose challenges with communication and permissions.
  2. Setting up two GCP projects, a service project, and a host project is essential. Understanding how to create and configure a Shared VPC network and subnet for the Cloud Composer environment is crucial for data and infrastructure engineers.
  3. Permissions preparation is key, including roles like Compute Shared VPC Admin and Project IAM Admin, and setting up the necessary permissions for Google APIs service accounts, GKE service accounts, and Composer Agent Service Accounts at both project and subnet levels.

What do we mean by ‘High Availability’ in the Cloud?

realkinetic • 0 implied HN points • 25 May 23
🕹 Technology Cloud Computing Infrastructure Data Management System Architecture Incident Response
  1. Availability is expressed as a percentage of uptime; higher percentages require substantial investment and multi-team efforts
  2. Achieving high availability in the cloud involves significant costs and considerations like multi-master databases, multi-zonal deployments, and failover testing
  3. Five nines (99.999%) availability is considered the gold standard, but it requires extensive resources, multi-region support, and rigorous infrastructure and data replication

Six practices for implementing Kubernetes on GCP

realkinetic • 0 implied HN points • 27 Feb 23
🕹 Technology Cloud Computing Containerization DevOps Security Automation
  1. Use Minikube for local Kubernetes development to ensure consistency with production version.
  2. Build containers with caution, favoring restricted base images to reduce vulnerabilities and improve security.
  3. Ensure automation in deployments, design for rollbacks, and use immutable infrastructure principles for managing Kubernetes applications.

Getting big wins with small teams on tight deadlines

realkinetic • 0 implied HN points • 02 Nov 20
🕹 Technology Cloud Computing Serverless Managed Services Software Development Infrastructure
  1. Using serverless and managed services is critical for achieving big wins with small teams on tight deadlines in the cloud.
  2. Choosing a cloud platform and fully embracing its capabilities is key to success, even though leveraging multiple platforms for different strengths can also be beneficial.
  3. Serverless computing allows teams to focus on business outcomes, accelerating product launches, reducing team sizes, and shifting the focus to more differentiated work.

Implementing ETL on GCP

realkinetic • 0 implied HN points • 15 Jul 20
🕹 Technology Data Analytics Cloud Computing Data Warehousing
  1. ETL processes are vital for data analytics, involving extracting, transforming, and loading data for storage in a warehouse.
  2. GCP offers options like Data Fusion and Cloud Dataprep for implementing ETL pipelines, catering to varying technical skill levels and preferences.
  3. Alternative approaches on GCP for ETL include using services like Cloud Dataflow for more code-heavy processes or leveraging BigQuery for ELT if your team is SQL-focused.

Using Google-Managed Certificates and Identity-Aware Proxy With GKE

realkinetic • 0 implied HN points • 24 Jun 20
🕹 Technology Cloud Computing Network Security Kubernetes Identity Management
  1. Google-Managed Certificates in GKE are provisioned, renewed, and managed by Google, simplifying HTTPS setup for your domain.
  2. Identity-Aware Proxy (IAP) in GKE provides zero-trust security, allowing secure access to applications without a VPN based on user identity and context.
  3. Combining GCLB, GCP-managed certificates, and IAP offers a robust solution for serving and securing internal applications in the cloud.

Zero-Trust Security on GCP With Context-Aware Access

realkinetic • 0 implied HN points • 22 Jun 20
🕹 Technology Security Cloud Computing Networking Infrastructure Cybersecurity
  1. Serverless architecture on GCP allows for quick application development with minimal operational overhead, setting Google Cloud apart from other providers.
  2. Implementing a zero-trust security model on GCP, especially with context-aware access, enhances security for applications and services.
  3. Transitioning from perimeter-based security to a zero-trust model with tools like IAP and IAM Conditions Framework provides a more flexible and secure approach, even beyond GCP.

Choosing the Right GCP Compute Platform

realkinetic • 0 implied HN points • 20 Aug 19
🕹 Technology Cloud Computing Serverless Containerization
  1. When choosing the right GCP compute platform, consider the level of abstraction that fits your application, team, and investment allocation.
  2. Google's compute product continuum offers options from raw VMs in Compute Engine to highly abstracted options like Firebase and Cloud Functions.
  3. Different GCP compute platforms have good and bad fit characteristics based on considerations like complexity of server-side logic, statefulness, and architectural maturity.

Serverless on GCP

realkinetic • 0 implied HN points • 20 Aug 19
🕹 Technology Cloud Computing Serverless Computing Managed Services Containerization
  1. Serverless computing means cloud providers fully manage server infrastructure, allowing focus on application code and business logic.
  2. Benefits of serverless model include automatic scaling, fault-tolerance, and paying only for the resources used.
  3. GCP offers various serverless compute options like Firebase, Cloud Functions, App Engine, and Cloud Run, each with specific characteristics and use cases.

GCP vs. AWS: A Manager’s Guide

realkinetic • 0 implied HN points • 30 Jul 19
🕹 Technology Cloud Computing Infrastructure Comparison Deployment Managed Services
  1. AWS is considered more of an "ops engineer's cloud" while GCP is seen as a "software engineer's cloud."
  2. Deploying on AWS Fargate involves lower-level tasks like networking and IAM roles, providing fine-tuned control but requiring more effort.
  3. Google's App Engine Flex streamlines deployment, handling networking, scaling, and fault tolerance, allowing developers to focus more on application code and architecture.

Authenticating Stackdriver Uptime Checks for Identity-Aware Proxy

realkinetic • 0 implied HN points • 29 Jan 19
🕹 Technology Cloud Computing Security Monitoring Serverless Computing
  1. Google Stackdriver provides free uptime checks for monitoring service availability across regions and response latencies.
  2. Implementing Stackdriver uptime checks with Cloud Identity-Aware Proxy can be challenging due to authentication requirements.
  3. A workaround solution involves using Google Cloud Functions as a proxy to authenticate Stackdriver uptime checks for IAP-protected resources.

API Authentication with GCP Identity-Aware Proxy

realkinetic • 0 implied HN points • 25 Jan 19
🕹 Technology Cloud Computing APIs Authentication Security
  1. Cloud Identity-Aware Proxy (Cloud IAP) enables authentication and authorization for applications in Google Cloud Platform (GCP) by requiring users to login with their Google account and have appropriate access roles.
  2. Configuring Identity-Aware Proxy involves associating it with an App Engine application or HTTPS Load Balancer and adding service accounts for programmatic authentication.
  3. Authenticating API consumers with Cloud IAP involves generating a JWT signed with service account credentials, exchanging it for a Google-signed OIDC token, and making authenticated requests by setting the bearer token in the Authorization header.

Multi-Cloud Is a Trap

realkinetic • 0 implied HN points • 14 Sep 18
🕹 Technology Cloud Computing Disaster Recovery Pricing
  1. Multi-cloud can create unnecessary constraints and distractions, costing more than it's worth.
  2. Disaster recovery, vendor lock-in, and pricing are main reasons why multi-cloud is considered, but they may not always justify the strategy.
  3. For some large enterprises or specific use cases like leveraging the strengths of different clouds, multi-cloud may make sense, but it shouldn't be the primary focus for most companies entering the cloud space.