Factor House’s Post

The latest update for #Aiven includes "Exploring why #PostgreSQL made generated columns virtual" and "Exploring PostgreSQL 18's new UUIDv7 support". #OpenSource #Cloud #Kafka https://lnkd.in/dNPm2fYJ

Exciting news from the Redis & Google Cloud teams! Redis Data Integration (RDI) now offers general availability support for Google Cloud Spanner — both for self-managed & Redis Cloud on GCP deployments. This milestone strengthens our partnership with Google Cloud & helps joint customers: - Improve application performance with real-time, in-memory data - Reduce infrastructure costs by offloading reads from Spanner to Redis - Accelerate innovation across modern, global cloud architectures As enterprises look to build mission-critical apps on Google Cloud, combining Spanner’s reliability with Redis' real-time speed delivers the best of both worlds. Speed at scale with lower total cost of ownership. Proud of what our teams have achieved together & looking forward to what’s next with our Google Cloud partnership. Read more here: https://lnkd.in/eiEWHMSB

Redis and Google Cloud take another big step forward! With Redis Data Integration now supporting Spanner, enterprises can unlock real-time speed and efficiency across mission-critical workloads.

🚨 The US-EAST-1 outage this week was a reminder: high availability isn’t just about uptime, it’s about staying consistent and recovering instantly when a region goes down. 🧠 Redis Cloud delivers true resilience: - Single-digit-second failovers under load - Automatic rerouting—apps stay connected - AOF + RDB persistence for minimal data loss - Active-Active replication keeps regions writable and in sync When one cloud region fails, Redis Cloud keeps serving traffic. No manual promotion, no cold restarts, no data gaps. 👉 Read more: https://lnkd.in/gMEeEWei

28/09/25 - Sunday🙂 #Week_of_AWS #What_is_AWS? ✴️Amazon Web Services (AWS) is a comprehensive and widely adopted cloud computing platform from Amazon. It provides on-demand access to a broad range of over 240 IT services, including computing power, storage, databases, networking, and analytics, all delivered over the internet on a pay-as-you-go basis. Since its public launch in 2006, AWS has eliminated the need for businesses to purchase and maintain expensive physical servers and IT infrastructure. Instead, it allows them to access scalable, reliable, and secure cloud-based resources from a global network of data centers. ✴️Core AWS service categories ➡️Compute: These services provide virtual servers, serverless computing, and container orchestration to run applications and workloads in the cloud. ➡️Amazon EC2 (Elastic Compute Cloud): Provides virtual servers (instances) in the cloud with resizable compute capacity. ➡️AWS Lambda: A serverless computing service that lets you run code without provisioning or managing servers. ➡️Storage: AWS offers scalable, durable, and secure storage for different data types, from simple files to long-term archiving. ➡️Amazon S3 (Simple Storage Service): A highly durable and scalable object storage service for storing and retrieving any amount of data. ➡️Amazon EBS (Elastic Block Store): Provides block-level storage volumes for use with EC2 instances. ➡️Databases: A variety of managed database services are available for both relational and non-relational data. ➡️Amazon RDS (Relational Database Service): Manages relational databases, such as MySQL, PostgreSQL, and Oracle. ➡️Amazon DynamoDB: A serverless NoSQL database that offers high performance at any scale. ➡️Networking and Content Delivery: These services help connect resources securely and deliver content with low latency. ➡️Amazon VPC (Virtual Private Cloud): Allows you to create an isolated virtual network within the AWS cloud. ➡️Amazon CloudFront: A global content delivery network (CDN) for securely delivering data, videos, applications, and APIs to customers worldwide. ➡️Security, Identity, and Compliance: AWS offers numerous services to protect data and control user access. ➡️AWS IAM (Identity and Access Management): Controls who is authenticated and authorized to use AWS resources. ➡️AWS WAF (Web Application Firewall): Protects web applications from common web exploits. Machine Learning and AI: A set of services that enables developers to build, train, and deploy machine learning models. ➡️Amazon SageMaker: A fully managed service for building, training, and deploying machine learning models at scale. ➡️Amazon Bedrock: A service for building and scaling generative AI applications using foundation models. ⚡“Life is what happens to us while we are making other plans.”― Allen Saunders #PowerBI #AI #AMAZON #AWS #Python #DataAnalyst #Consistency #DailyThoughts

I published a new article! 📃 And it's been accepted to the Google Cloud Community publication 💫 In this blog, I describe the 2 ways you can configure private IP connectivity to your #postgres databases on #AlloyDB - GCP's shiniest relational DB service 💅 I also try (emphasis: try) to untangle my favourite cloud networking confusion: PSC vs PSA vs PGA. It's been a while since I wrote something (or, I should say, since I _finished_ writing something) - this one has been in my drafts since autumn last year! It is the foundational layer for my colleague's Diego Sucaria article about bi-directional replication between AWS RDS and AlloyDB, published in the Zencore medium. Link to that article at the end of my blog 😉

Cut migration complexity. Azure Storage Mover moves AWS S3 to Azure Blob Storage without middleware. Automate, monitor, and scale in the Azure portal (secure and compliant by design). #Microsoft #Azure #Storage #Blob #AWS #Cloud https://lnkd.in/dG9SBNi6

Run an Atlas Cluster Locally in Minutes This article was written by Arek Borucki. You no longer need a cloud account to try MongoDB Atlas features. Spin up a fully compatible local cluster in seconds, with no login, no credit card, and no friction. 🕒 Reading time: 2-3 min MongoDB Atlas is a fully managed, multi-cloud data platform provided by MongoDB Inc. It allows you to deploy and run MongoDB clusters on Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure, with full support for replica sets (for high availability), sharding (for horizontal scalability), and multi-cloud deployments. MongoDB Atlas handles infrastructure, backups, security, scaling, and monitoring out of the box. It also extends the core MongoDB server capabilities with a set of integrated features. Atlas Search: Use full-text indexing built on Apache Lucene. Vector Search: Run semantic similarity queries for gen AI use cases. Global clusters: Deploy data close to users across multiple regions or cloud providers. SQL interface: Query https://lnkd.in/gT8nmQMF

Microsoft workloads are quietly flooding into AWS. A few years ago, that would’ve sounded insane. But now AWS is actively helping teams migrate Windows, .NET, and SQL Server and using AI to refactor the code on the way in. It’s a clear signal: the cloud wars aren’t about compute anymore, they’re about who makes it easiest to modernize. And right now, AWS is winning that game. https://lnkd.in/eY8WncUi #AWS #Microsoft #Cloud #AI #reInvent2025