Brian Gracely’s Post

I believe its easier to add vector search to an existing cloud native database, than it is to add all the missing features required of a cloud native database to a new start up vector database. Don't believe me? Think about the following list: Networking, Security, Compliance, Role Based Access Control, Certifications, Penetration Testing, Sox Compliance, PII Certification, PCI Certification, Partitioning, Sharding, Automatic Scale out / Scale Back.... Fully Managed SaaS, DBaaS with private networking (VPC Peering, VNET Peering, Private Link, Transit Gateway, Private Services Connect) on 3 major cloud providers, AWS, GCP and Azure. But wait there is more... Replication, Automated backups, Automated Failover, Automated Recovery, Cross Region Replication for DR, Cross Cloud Replication, etc... etc... etc...) Every single item in the above list is a requirement for 90% of the Enterpise companies out there building Gen AI applications. Sooner or later the Dev team runs across road blocks by their own information security teams. How long do you think it will take these new startup vector databases to get all of the required features? My money is on MongoDB Atlas. They do stuff right, time and time again. They have ironed out all of the requirements over the past 7 years since the MongoDB IPO and exceeded expectations every single time. I expect that the Vector search capability will continue to improve with newer and better features. Click the link below to see the latest. #MongoDBAtlas #VectorSearch #RAG #generativeAI

As we can see a lot of companies today decide to go with a multi-cloud strategy, and this repo is is the overview where all major services between AWS, Azure, GCP, and OCI are mapped with links pointing to product home pages. https://lnkd.in/gMYV5uAN

I just completed the introductory course "Microsoft Azure Fundamentals: Describe cloud concepts." It was insightful to compare it to AWS and gain a broader understanding of the cloud landscape. Microsoft Learn

Amazon Web Services (AWS) has made U7i instances available with up to 32 terabytes of DDR5 memory and 896 vCPUs. Read the blog: https://lnkd.in/egDQCDev #aws #devops #cloud

Are you ready to move your storage-intensive workloads to Microsoft Azure or Amazon Web Services (AWS)? Our risk-free guarantee can help. Learn more: https://lnkd.in/gSy_rkfF #CloudStorage #PublicCloud #CloudSolution #CloudMigration #DigitalTransformation #CloudFirst

Three takeaways from the earnings calls of AWS, Azure, GCP: 1. AWS still dominant in market share 31% 2. Back to double digit growth for all = cloud industry growing strong 3. AI driving heavy investment in Capex = new AI services needed to remain competitive.

Just finished the course “Choosing a Cloud Platform for Developers: AWS, Azure, and GCP” by Xian Ke! Check it out: https://lnkd.in/dfaiK7HT #amazonwebservices #clouddevelopment #microsoftazure #googlecloudplatform.

Cloud can seem to be overwhelming. When even helicopter view is too detailed, try looking from the orbit 😉 (new: compliance offerings counter) https://aka.ms/az-macro #azurecharts for #microsoft #azure #cloud #cloudlearning #msftadvocate

If you have workloads running in Azure and an workload needs to access some GCP services (e.g. PubSub, BigQuery, etc.) from your GCP organisation. This post would help you understand how to setup Authentication and Authorisation.

Start "from the orbit" and dig deeper into your cloud area effortlessly with https://aka.ms/az-macro #azurecharts for #microsoft #azure #cloud #cloudlearning #msftadvocate