Joab Jackson
Senior Editor and Reporter at The New Stack
IT ops reporting @thenewstack: Kubernetes, containers, SRE, Linux, IaC, VMs, databases etc // see also @DiscCheap for the lively arts...
Articles
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6 days ago |
thenewstack.io | Joab Jackson
Just in time for spring (if you live in the Northern Hemisphere), the Valkey open source key-value datastore now supports a new data type, Bloom filters. The newly released valkey-bloom module can work on Valkey version 8 and later. (The most recent version of the data store, v8.1, was released last month.)A type of probabilistic search, Bloom filters offer a very efficient way of determining whether or not a given value is a member of a data set.
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1 week ago |
thenewstack.io | Joab Jackson
“We’re using LLMs and AI to fully modernize old applications,” said Scott Sanchez, MongoDB‘s product marketing and strategy leader, in an interview at the Google Next conference last week in Las Vegas. At the conference, the company introduced the integrated MongoDB cluster assessment as a menu item into Google’s Migration Center Use Case Navigator. This service provides a set of tools and best practices to move computer workloads onto Google Cloud.
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1 week ago |
thenewstack.io | Joab Jackson
This year, a great number of announcements came out at Google Next Conference, and perhaps not surprisingly, many were related to new developments around AI. So we were curious: Were all the AI development tools that Google itself nurtured already helping the company to speed its own development cycle?
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2 weeks ago |
thenewstack.io | Joab Jackson
LAS VEGAS — Google Cloud is gearing up for massive AI workloads, and is using Kubernetes as the platform to make it happen. This week, during the company’s Google Cloud Next conference in Las Vegas, Google unveiled a number of enhancements to the Google Kubernetes Engine (GKE) all aimed to streamline AI workloads. The company has also unveiled its hosted GKE-based supercomputing service, with special accommodations for AI workloads.
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2 weeks ago |
thenewstack.io | Joab Jackson
LAS VEGAS — In its ongoing efforts to make Kubernetes the de facto platform for large-scale AI/machine learning (ML) workloads, Google has struck up a partnership with Anyscale to offer a hosted version of one of the fastest-growing AI platforms, Apache Ray. Apache Ray is a platform that provides a way to scale Python applications to run in distributed environments.
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Props to the guy who hid the cheeseburger in the shoe he was making… #lifegoals
The Chinese made another American re-industrialisation meme 😂 https://t.co/IJoMZmAxHA
“If you work in the pre-cloud world, consider what custom-built data durability mechanisms you have that more relevant in the bare metal world where the servers are not reliable. Do they still apply?”—@AppLivin’s Basil Shikin, #GoogleCloudNext2025 https://t.co/AQn79URJXl
.@garitweets explains how Google’s “container optimized compute,” in preview with #GKE 1.32 Autopilot, can spin up containers so quickly as to respond to load demands “in near real time.” #GoogleNext25 https://t.co/YZ7OEsIOm1
