# cloud-infrastructure Hardware and software layers that provide the resources enabling cloud computing. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Minimizing the length of regular expressions, in practice DevFeed: [Minimizing the length of regular expressions, in practice]() Original publisher: [Read original article]() Author: Khan Academy Published: 2016-05-23T22:00:00Z Content type: tutorial Language: en Sources: [Khan Academy]() Topics: [Algorithms, Complexity](), [Regular expression](), [Programming](), [cloud-infrastructure]() Tags: [algorithms](), [cdn](), [configuration](), [engineering](), [google](), [hosting](), [infrastructure](), [news](), [re](), [repository](), [software-engineering]() ### AI overview Craig Silverstein explains how Khan Academy needed a compact regular expression to distinguish static URLs from dynamic URLs for CDN routing. The article describes why simple patterns were unsuitable, reports that a naive generated expression reached 402,025 characters, and introduces a second approach that reduced the length to 2,400 characters. ### Source excerpt By Craig Silverstein The problem Software engineering interviews tend to be full of "algorithms" questions, because they're easy ... Read more ## Dropbox Outlines How Focusing on Existing Infrastructure Efficiency Can Create Headroom for AI DevFeed: [Dropbox Outlines How Focusing on Existing Infrastructure Efficiency Can Create Headroom for AI]() Original publisher: [Read original article]() Author: Matt Foster Published: 2026-09-16T07:15:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [Artificial Intelligence](), [cloud-infrastructure](), [Magic Pocket](), [data centers](), [networking]() Tags: [ai](), [ai-architecture](), [ai-ml-data-engineering](), [capacity](), [cloud](), [data-center](), [data-storage](), [devops](), [dropbox](), [dropbox-datacenter](), [efficiency](), [infrastructure](), [infrastructure-optimisation](), [magic-pocket](), [ml-data-engineering](), [networking](), [news](), [optimization](), [storage](), [sustainable-computing]() ### AI overview Dropbox describes how long-running infrastructure optimization helps it accommodate growing AI demand by improving forecasting, fleet utilization, storage density, hardware lifecycles, and rack-level power delivery. Its storage infrastructure has used more than 50% less power per petabyte since 2020. ### Source excerpt Dropbox has outlined how a decade of infrastructure optimization is helping it absorb growing demand from AI without treating new data-center capacity as the only answer. Its work spans forecasting, fleet utilization, storage density, hardware lifecycles, and rack-level power delivery, much of it predating the current AI boom. By Matt Foster ## OWC Acquires OpenDrives, Adding Atlas, Astraeus, and Edge to the Jellyfish Shared Storage Line DevFeed: [OWC Acquires OpenDrives, Adding Atlas, Astraeus, and Edge to the Jellyfish Shared Storage Line]() Original publisher: [Read original article]() Author: Harold Fritts Published: 2026-09-15T16:55:08Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [data-architecture](), [cloud-infrastructure](), [Hardware](), [data-processing]() Tags: [acquisition](), [cloud-native](), [company](), [enterprise](), [enterprise-storage](), [hybrid-cloud](), [infrastructure](), [products](), [storage]() ### AI overview Other World Computing (OWC) has acquired OpenDrives, bringing the Atlas, Astraeus, and Edge platforms into its Jellyfish shared storage portfolio. The companies say the deal expands OWC's capabilities in enterprise data management, hybrid cloud orchestration, and edge workflows; financial terms were not disclosed. ### Source excerpt Other World Computing (OWC) has acquired OpenDrives, the Los Angeles software-defined storage company whose Atlas platform has sat behind Hollywood studios, post houses, and live broadcast networks since 2011. The deal brings OpenDrives' Atlas, Astraeus, and Edge platforms into OWC's shared storage portfolio alongside the Jellyfish line, and OWC says it extends that line into The post OWC Acquires OpenDrives, Adding Atlas, Astraeus, and Edge to the Jellyfish Shared Storage Line appeared first on StorageReview.com. ## LF Energy Research Finds Open Source Software Can Deliver 2-5x Greater Net Value for Grid Operators DevFeed: [LF Energy Research Finds Open Source Software Can Deliver 2-5x Greater Net Value for Grid Operators]() Original publisher: [Read original article]() Author: andrewb@proximabiz.com (The Linux Foundation) Published: 2026-09-15T07:00:00Z Content type: news Language: en Sources: [Linux Foundation - Blog]() Topics: [Open Source](), [Software](), [cloud-infrastructure](), [digital sovereignty](), [interoperability](), [Simulation]() Tags: [ai-data-centers](), [case-studies](), [compare](), [cost](), [digital-sovereignty](), [framework](), [infrastructure](), [interoperability](), [linux-foundation](), [open-source](), [renewable-energy](), [report](), [research](), [september-2026](), [software](), [summit]() ### AI overview LF Energy reports that open source software can provide grid operators with 2-5 times greater net value than conventional software procurement. Its Open Source Benefit-Cost Framework evaluates total cost of ownership, risk exposure, strategic value, and societal impact using case studies and simulations. ### Source excerpt New benefit-cost framework gives utilities and regulators a standardized methodology to compare open source with conventional software procurement ## Pay only for what you use: introducing no spend minimums to Temporal Cloud DevFeed: [Pay only for what you use: introducing no spend minimums to Temporal Cloud]() Original publisher: [Read original article]() Author: Tlo Lorinc Published: 2026-09-14T00:00:00Z Content type: release Language: en Sources: [Temporal Blog]() Topics: [Cloud](), [cloud-infrastructure](), [App]() Tags: [announcements](), [billing](), [cloud](), [developer](), [pricing](), [sso](), [support]() ### AI overview Temporal introduces a Paygo offering for Temporal Cloud with no base monthly fee, usage-based pricing, Developer Support, and SAML SSO included. The article explains pricing, support terms, storage charges, and migration options for existing self-service customers. ### Source excerpt Start building on Temporal Cloud with no base monthly fee, usage-based pricing, and Developer Support that scales with your application. ## Cloudflare Tests Cache Transcoding to Reduce Storage Requirements DevFeed: [Cloudflare Tests Cache Transcoding to Reduce Storage Requirements]() Original publisher: [Read original article]() Author: Renato Losio Published: 2026-09-13T10:35:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [Caching](), [Transcodings](), [cloud-infrastructure](), [Pingora]() Tags: [architecture-design](), [cache](), [caching](), [cdn](), [cloud](), [cloudflare](), [cloudflare-cache-transcoding](), [compression](), [cpu](), [data-centers](), [development](), [edge-computing](), [news](), [pingora](), [rust](), [storage]() ### AI overview Cloudflare is testing Cache Transcoding, a prototype that Zstandard-compresses eligible uncompressed text before it is stored in cache. The approach aims to increase effective cache capacity and reduce inter-data-center transfer, with configurable CPU and storage trade-offs. ### Source excerpt Cloudflare recently described a prototype called Cache Transcoding that compresses eligible cache content, mainly uncompressed text such as HTML, JSON, CSS, and JavaScript, using Zstandard before storing it on disk. The hyperscaler estimates that the approach could provide petabytes of additional effective cache capacity, although broader testing is still needed. By Renato Losio ## Second-Gen Single-Rack AWS Outposts Puts 2,688 vCPUs and 100TB of EBS in One 42U Rack DevFeed: [Second-Gen Single-Rack AWS Outposts Puts 2,688 vCPUs and 100TB of EBS in One 42U Rack]() Original publisher: [Read original article]() Author: Harold Fritts Published: 2026-09-12T18:24:22Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [AWS Outposts](), [Amazon Web Services](), [cloud-infrastructure](), [Network](), [Latency](), [data-processing](), [Security]() Tags: [5g](), [automation](), [aws](), [aws-outposts](), [cloud](), [compute](), [connectx](), [data-processing](), [enterprise](), [governance](), [latency](), [low-latency](), [networking](), [security]() ### AI overview AWS has generally released a second-generation single-rack AWS Outposts configuration: a self-contained 42U rack combining compute, storage, and networking with up to 2,688 vCPUs and 100 TB of Amazon EBS. The article describes its on-premises cloud compatibility, compact footprint, supported instance families, and accelerated networking options for trading floors and 5G cores. ### Source excerpt AWS has made second-generation single-rack AWS Outposts generally available, a self-contained 42U rack that puts compute, storage, and networking together with up to 2,688 vCPUs and 100 TB of Amazon EBS. It runs the same APIs, console, automation, governance policies, and security controls as the multi-rack second-generation Outposts and the parent AWS Region, so an The post Second-Gen Single-Rack AWS Outposts Puts 2,688 vCPUs and 100TB of EBS in One 42U Rack appeared first on StorageReview.com. ## The 6 best HIPAA-compliant form builders for sensitive information DevFeed: [The 6 best HIPAA-compliant form builders for sensitive information]() Original publisher: [Read original article]() Author: Adam Lehman Published: 2026-09-12T00:00:00Z Content type: comparison Language: en Sources: [Webflow Blog]() Topics: [data](), [data-processing](), [Encryption](), [Software](), [cloud-infrastructure]() Tags: [compliance](), [data](), [encryption](), [enterprise](), [forms](), [healthcare](), [strategy](), [workflows]() ### AI overview A comparison of six HIPAA-compliant form builders for healthcare teams collecting protected health information (PHI). It evaluates Business Associate Agreement requirements, safeguards such as encryption and audit logging, pricing and plans, form capabilities, and suitability for workflows ranging from patient intake to complex clinical questionnaires. ### Source excerpt Compare the 6 best HIPAA-compliant form builders for healthcare teams collecting PHI, from affordable to enterprise options. ## How AI Is Changing Malware Detection: From Traditional Antivirus to Next-Gen Protection DevFeed: [How AI Is Changing Malware Detection: From Traditional Antivirus to Next-Gen Protection]() Original publisher: [Read original article]() Author: Manish Shivanandhan Published: 2026-09-11T15:22:46Z Content type: article Language: en Sources: [freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More]() Topics: [Malware](), [Machine learning](), [ransomware](), [cloud-infrastructure](), [PowerShell](), [Microsoft]() Tags: [ai](), [ai-agents](), [attacks](), [cloud](), [machine-learning](), [malware](), [microsoft](), [powershell](), [ransomware](), [security]() ### AI overview An overview of how malware detection is shifting beyond signature-based antivirus toward machine learning, behaviour tracking, and cloud threat data. It also describes how malware evades traditional detection and notes limitations of AI-based approaches. ### Source excerpt Malware used to be simple to describe. A virus attached itself to a file, and antivirus software removed it. That world is gone. Today, a single attack can steal your passwords, lock up your photos, w ## Terraform AWS Provider Continues Rapid Expansion as AWS Infrastructure Becomes More Complex DevFeed: [Terraform AWS Provider Continues Rapid Expansion as AWS Infrastructure Becomes More Complex]() Original publisher: [Read original article]() Author: Craig Risi Published: 2026-09-11T12:00:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [Terraform](), [Infrastructure as code](), [cloud-infrastructure](), [AWS CloudFormation](), [Amazon Bedrock](), [DSQL]() Tags: [aws](), [cloudformation](), [devops](), [infrastructure-as-code](), [news](), [release](), [terraform](), [terraform-aws-provider-6-62]() ### AI overview Terraform AWS Provider v6.62.0 adds support for AWS services and resources. The article compares Terraform with Pulumi, CloudFormation/CDK, and OpenTofu, and advises teams to pin and test provider upgrades because of schema, state, and behavior risks. ### Source excerpt The Terraform AWS Provider continues its rapid evolution, with v6.62.0 adding support for new AWS capabilities while improving how Terraform understands and manages existing infrastructure. By Craig Risi ## Building a reliable cloud native foundation for distributed AI training DevFeed: [Building a reliable cloud native foundation for distributed AI training]() Original publisher: [Read original article]() Author: Abhi Kulkarni and Shishir Jindal, Atlassian Published: 2026-09-11T11:00:00Z Content type: article Language: en Sources: [Cloud Native Computing Foundation]() Topics: [Training AI Models](), [Machine learning](), [distributed-systems](), [GPU](), [cloud-infrastructure](), [Network design](), [Inference]() Tags: [ai-training](), [blog](), [distributed-training](), [gpu](), [infrastructure](), [storage]() ### AI overview The article explains how to make multi-node AI training reliable by treating inter-node communication, shared storage, hardware placement, network topology, and validation as platform concerns. It identifies RDMA for GPU-node communication and Lustre for concurrent training-data and checkpoint access. ### Source excerpt AI workloads are changing what platform teams need from infrastructure. Provisioning GPUs and standing up a cluster no longer makes a platform "AI-ready." Once training spans more than one node, the bottlenecks show up in places... ## Rapidly scaling online storage to serve over 1 billion ChatGPT users DevFeed: [Rapidly scaling online storage to serve over 1 billion ChatGPT users]() Original publisher: [Read original article]() Published: 2026-09-11T10:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [cloud-infrastructure](), [Database](), [data]() Tags: [chatgpt](), [data](), [database](), [engineering](), [global](), [infrastructure](), [openai](), [platform](), [python](), [scale](), [storage]() ### AI overview OpenAI describes scaling Habitat from a Python client-side library into a distributed online storage platform for global product traffic. The article focuses on reliability, performance, and capacity decisions made during rapid growth. ### Source excerpt Learn how OpenAI evolved Habitat from a Python library into a globally distributed storage platform serving 1 billion ChatGPT users and 22M requests per second. ## Backblaze B2 and WEKA NeuralMesh Validated as a Two-Tier AI Storage Pipeline, With Snap-to-Object Checkpoints in B2 DevFeed: [Backblaze B2 and WEKA NeuralMesh Validated as a Two-Tier AI Storage Pipeline, With Snap-to-Object Checkpoints in B2]() Original publisher: [Read original article]() Author: Harold Fritts Published: 2026-09-10T20:40:57Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [AI Infrastructure](), [cloud-infrastructure](), [Cloud](), [data-processing](), [model-deployment]() Tags: [accelerators](), [ai](), [ai-infrastructure](), [cloud](), [cloud-storage](), [data](), [datasets](), [enterprise](), [inference](), [infrastructure](), [integration](), [performance](), [snapshots](), [storage]() ### AI overview Backblaze and WEKA validated a two-tier AI storage pipeline that uses WEKA NeuralMesh as the high-performance tier for GPU workloads and Backblaze B2 Cloud Storage as the capacity tier. Raw data, training sets, media, source files, checkpoints, and other assets can move between the tiers according to access needs. NeuralMesh's Snap-to-Object feature was also tested with B2 for storing consistent filesystem snapshots and supporting recovery. ### Source excerpt Backblaze and WEKA have validated their two platforms together for AI pipelines, pairing WEKA NeuralMesh as the performance tier that feeds GPUs with Backblaze B2 Cloud Storage as the capacity tier that holds everything else. The integration, sizing, tuning, and testing are already done, so an AI infrastructure team can deploy a proven two-tier layout The post Backblaze B2 and WEKA NeuralMesh Validated as a Two-Tier AI Storage Pipeline, With Snap-to-Object Checkpoints in B2 appeared first on StorageReview.com. ## Scality Maestro 1.1 Manages ARTESCA Fleets From One Console With No VPN Into Customer Sites DevFeed: [Scality Maestro 1.1 Manages ARTESCA Fleets From One Console With No VPN Into Customer Sites]() Original publisher: [Read original article]() Author: Harold Fritts Published: 2026-09-10T20:17:01Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [cloud-infrastructure](), [Monitoring](), [Tooling](), [Deployment](), [Server](), [Firewall](), [Network](), [Disk image]() Tags: [data-protection](), [deployment](), [enterprise](), [firewall](), [infrastructure](), [monitoring](), [network](), [platform](), [production](), [scale](), [server](), [software](), [tooling](), [updates](), [upgrade]() ### AI overview Scality has generally released Maestro 1.1, a fleet management platform for service providers operating many Scality ARTESCA object storage deployments. It provides centralized monitoring, software and server firmware updates, capacity tracking, and automated pay-as-you-go billing without requiring VPN tunnels or customer-side network reconfiguration. Each deployment connects outbound to Maestro, which does not connect back into customer networks. ### Source excerpt Scality has made Maestro 1.1 generally available, a fleet management platform for service providers running large numbers of Scality ARTESCA object storage deployments on behalf of their customers. The target is the backup-as-a-service business that starts as a handful of ARTESCA clusters and grows to tens or hundreds, each sitting inside a different customer's network The post Scality Maestro 1.1 Manages ARTESCA Fleets From One Console With No VPN Into Customer Sites appeared first on StorageReview.com. ## Announcing On-Demand Compute: Instant compute for your most intensive workloads DevFeed: [Announcing On-Demand Compute: Instant compute for your most intensive workloads]() Original publisher: [Read original article]() Author: Melvyn Peignon Published: 2026-09-10T14:22:58Z Content type: release Language: en Sources: [ClickHouse Blog]() Topics: [clickhouse](), [autoscaling](), [cloud-infrastructure]() Tags: [autoscaling](), [clickhouse](), [cloud](), [compute](), [cost](), [infrastructure](), [production](), [scale](), [workers]() ### AI overview ClickHouse announces a private preview of On-Demand Compute, which allocates shared workers to eligible individual queries so intensive workloads can run without competing with a service's primary compute. ### Source excerpt ClickHouse On-Demand Compute lets you scale individual queries with additional workers, run intensive workloads without disrupting production, and use compute when you need it. ## Improving Lakebase Postgres compute cache DevFeed: [Improving Lakebase Postgres compute cache]() Original publisher: [Read original article]() Author: David Wein; Sunil Kamath; Haoyu Huang Published: 2026-09-10T13:47:03Z Content type: article Language: en Sources: [Databricks]() Topics: [Caching](), [databricks](), [Databases](), [autoscaling](), [Amazon S3](), [Filesystems](), [cloud-infrastructure]() Tags: [autoscaling](), [cache](), [caching](), [data](), [data-engineering](), [databricks](), [engineering](), [filesystem](), [latency](), [low-latency](), [memory](), [s3](), [storage]() ### AI overview This Databricks article describes improvements to compute-side caching for Lakebase Postgres, a disaggregated storage system backed by object storage such as Amazon S3. It explains PostgreSQL shared buffers, the operating system page cache, and the planned use of dynamically autoscaling shared buffers consuming up to 75% of compute memory. It also introduces a local file cache as an incremental solution for fixed compute instances. ### Source excerpt The disaggregated storage model of Lakebase Postgres provides a feature rich, flexible... ## Vercel Sandbox is now available in all regions DevFeed: [Vercel Sandbox is now available in all regions]() Original publisher: [Read original article]() Author: Rob Herley Published: 2026-09-10T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Vercel](), [cloud-infrastructure](), [Latency](), [Command-line interface](), [SDKs](), [configuration]() Tags: [cli](), [compute](), [configuration](), [cpu](), [enterprise](), [latency](), [memory](), [sdk](), [support](), [update](), [vercel]() ### AI overview Vercel Sandbox is now available across all 20 Vercel compute regions, expanding from four. Users can select primary and failover regions, helping reduce latency and meet data residency requirements. Region selection is available on every plan, while Pro and Enterprise teams can configure failover regions. ### Source excerpt Vercel Sandbox can now run in all 20 Vercel compute regions, up from four. Running sandboxes closer to the databases, storage, and other services they access reduces latency. Teams can also keep sandbox workloads in approved regions to support data residency and regional processing requirements. iad1 remains the default region. Region selection is available on every plan. Pro and Enterprise teams can also configure failover regions. If Vercel can't create a sandbox in the primary region, it tries each configured failover region in order. Teams with data residency requirements can limit primary and failover regions to approved geographies. Set a default region for new sandboxes from your project's Settings > Sandboxes. With the SDK: With the CLI: A region passed at creation overrides the project default. Existing sandboxes remain in the regions where they were created. Active CPU and Provisioned Memory rates vary by region. See Sandbox pricing. If you use the Sandbox SDK or CLI, update it to the latest version before selecting one of the newly supported regions. Learn about region selection, failover, and CLI configuration in the Sandbox regions documentation. Read more ## ClickHouse Cloud vs. Snowflake: What drives the real-time performance-per-dollar gap DevFeed: [ClickHouse Cloud vs. Snowflake: What drives the real-time performance-per-dollar gap]() Original publisher: [Read original article]() Author: Tom Schreiber; Lionel Palacin Published: 2026-09-10T00:00:00Z Content type: comparison Language: en Sources: [ClickHouse Blog]() Topics: [data](), [cloud-infrastructure]() Tags: [analytics](), [architecture](), [clickhouse](), [cloud](), [compute](), [cost](), [data](), [infrastructure](), [latency](), [performance](), [real-time](), [sorting](), [storage](), [sync]() ### AI overview A comparison of ClickHouse Cloud and Snowflake for a continuous real-time analytics workload, examining how ingestion and pre-aggregation affect freshness, query work, latency, and cost. ### Source excerpt ClickHouse Cloud delivered 412x better performance per dollar than Snowflake in CostBench. We trace the gap from fresh data arriving to fast answers coming back. ## Threat matrix: Mapping threats across cloud web applications DevFeed: [Threat matrix: Mapping threats across cloud web applications]() Original publisher: [Read original article]() Author: Microsoft Security Research and Lior Leizerovich Published: 2026-09-09T21:30:00Z Content type: article Language: en Sources: [Microsoft Security Blog]() Topics: [web applications](), [cloud-infrastructure](), [Microsoft]() Tags: [cloud](), [framework](), [mapping](), [microsoft](), [security](), [serverless](), [web-applications]() ### AI overview Microsoft introduces a MITRE ATT&CK-aligned threat matrix for cloud-hosted web applications and serverless platforms. The framework maps attack techniques to help security teams identify visibility gaps, prioritize hardening, and investigate threats across application and cloud layers. ### Source excerpt Microsoft introduces the Cloud Web Applications Threat Matrix, a MITRE ATT&CK-aligned framework that helps defenders understand, prioritize, and mitigate threats to cloud-hosted web apps and serverless platforms. The post Threat matrix: Mapping threats across cloud web applications appeared first on Microsoft Security Blog. ## Now generally available: See how Stack Automation by Quali cuts deployment time DevFeed: [Now generally available: See how Stack Automation by Quali cuts deployment time]() Original publisher: [Read original article]() Author: Carlos Campos Torres Published: 2026-09-09T15:00:14Z Content type: article Language: en Sources: [Cisco Blogs]() Topics: [Automation](), [Deployment](), [Provisioning](), [configuration](), [cloud-infrastructure](), [Cloud]() Tags: [agenticops](), [automation](), [cloud](), [data-center](), [deployment](), [documentation](), [infrastructure](), [infrastructure-as-code-iac](), [platform](), [software](), [ubuntu](), [windows]() ### AI overview Stack Automation by Quali, co-developed with Cisco, is generally available as a deployment automation platform for validated Cisco and third-party infrastructure solutions. Its Solutions Hub supports planning, modeling, bill of materials generation, and automated deployment across on-premises and public-cloud services, reducing deployment cycles from weeks to hours or minutes. ### Source excerpt Still burning weeks on manual infrastructure deployment? Stack Automation by Quali, co-developed with Cisco, is now available--turning that grind into an automated, cloud-like experience that takes minutes. ## How cloud native goes AI native DevFeed: [How cloud native goes AI native]() Original publisher: [Read original article]() Author: Doron Grinstein, CEO of Control Plane Published: 2026-09-09T08:13:23Z Content type: opinion Language: en Sources: [Cloud Native Computing Foundation]() Topics: [cloud-infrastructure](), [App](), [coding](), [site-reliability-engineering](), [Database](), [Claude](), [cursor]() Tags: [ai](), [apps](), [blog](), [claude](), [cloud](), [cursor](), [infrastructure](), [production](), [sre]() ### AI overview The article argues that AI-assisted, "vibe-coded" applications are increasingly easy to start but often fail to reach production because they bypass cloud-native operational practices. It frames closing that production-readiness gap as a key infrastructure challenge. ### Source excerpt "A sales guy writing code" used to be the lead-up to a joke. But now no one's laughing. Designers used to sit meekly waiting for the high priests of code to make their designs real. Now... ## Persistent memory for eve agents DevFeed: [Persistent memory for eve agents]() Original publisher: [Read original article]() Author: Andrew Barba Published: 2026-09-09T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Vercel](), [cloud-infrastructure]() Tags: [agents](), [memory](), [storage](), [tools](), [vercel]() ### AI overview eve agents can now retain context across sessions through persistent memory organized into named slots. Each slot defines a memory provider and sharing scope, with support for per-user memory, automatic or tool-driven updates, Vercel Blob storage, several external providers, and custom providers. ### Source excerpt eve agents can now retain context across sessions and use it in future conversations. Persistent memory is organized into slots. You can define named slots in files under agent/memory/. Each slot specifies a provider, which stores and retrieves the memory, and a scope, which determines who or what shares it. For example, you can keep separate memory for each authenticated user. Before each turn, eve retrieves relevant memory and adds it to the model's context. Depending on the provider, memory can be updated automatically after a turn, through tools the agent uses, or through both methods. To add eve's built-in file memory provider, run: The command creates a file memory slot scoped to each authenticated caller: For agents deployed on Vercel, file memory uses a private Vercel Blob store so saved memories persist across restarts and deployments. Other supported memory providers include Supermemory, Upstash AgentKit, and Kybernesis Arcana. You can also connect another storage system or memory service by building a custom provider. Read the memory documentation to choose a provider and get started. Read more ## Autobase 2.11 released DevFeed: [Autobase 2.11 released]() Original publisher: [Read original article]() Published: 2026-09-09T00:00:00Z Content type: release Language: en Sources: [PostgreSQL news]() Topics: [postgresql clusters](), [Database](), [releases](), [Ansible Roles](), [cloud-infrastructure]() Tags: [ansible](), [cloud](), [operations](), [postgresql](), [postgresql-clusters](), [release]() ### AI overview Autobase 2.11 adds Platform UI management for PostgreSQL cluster scaling, minor and major upgrades, backups, and point-in-time recovery. It also introduces Ansible playbooks for backup and recovery operations. ### Source excerpt Autobase 2.11 is an important milestone in the evolution of the platform. Two years ago, we started working on a broader goal: evolve the Autobase Console from a PostgreSQL deployment UI into a platform for managing the complete cluster lifecycle. With this release, the remaining major pieces of that roadmap are now in place - scaling, upgrades, backups, and point-in-time recovery can all be managed directly from the Platform UI. See the full details in the release notes. Highlights Scaling (read replicas) Scale PostgreSQL read capacity directly from the UI. Simply specify the desired number of cluster nodes, and Autobase will provision the additional replicas automatically using the existing cloud configuration. For cloud deployments, the required servers and related infrastructure resources are created automatically. You can also scale clusters running on your own bare-metal or virtual machines. Start with a single-node PostgreSQL cluster and add replicas later as your workload grows. Upgrades Autobase Platform now supports minor upgrades within the current PostgreSQL major version as well as major-version upgrade workflows. For minor upgrades, replicas are updated one at a time, followed by a switchover and upgrade of the former primary. Read traffic remains available throughout the process, while expected write downtime is only ~5-10 seconds. For in-place major upgrades, the expected downtime is typically ~30-60 seconds. A blue-green major upgrade workflow with near-zero downtime is planned for a future release. Backup & Restore (PITR) Backup and recovery management is now available directly in the Platform UI. Configure the backup method, storage, retention, and schedule, or create backups on demand. Restore options include: Latest: recover to the latest available state Point in time: restore to a specific date and time Specific backup: restore from a selected backup New Ansible playbooks Autobase 2.11 adds new Ansible playbooks for backup and recovery operatio ## Announcing ClickHouse Managed Postgres on Google Cloud DevFeed: [Announcing ClickHouse Managed Postgres on Google Cloud]() Original publisher: [Read original article]() Author: Kunal Gupta Published: 2026-09-09T00:00:00Z Content type: release Language: en Sources: [ClickHouse Blog]() Topics: [clickhouse](), [Google](), [Databases](), [cloud-infrastructure]() Tags: [analytics](), [clickhouse](), [gcp](), [google-cloud](), [postgres](), [replication]() ### AI overview ClickHouse announces a private preview of its managed Postgres service on Google Cloud, with NVMe-backed storage, native CDC into ClickHouse, and pg_clickhouse for a unified query layer. ### Source excerpt ClickHouse Managed Postgres is expanding to Google Cloud, bringing NVMe-backed storage, native CDC into ClickHouse, and a unified query layer via pg_clickhouse to GCP private preview customers. 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