Storage
We track 25 posts about Storage from 16 engineering blogs. Most active: Zendesk, Vercel, AWS. Latest post: Oct 9, 2026.
Companies writing about Storage
Recent posts
Deployment Storage billing begins for existing Pro teams (opens on the source site)
Vercel ·
Deployment Storage and Functions Storage billing will begin for all Pro teams at $0.10 per GB-month. Check your email for details about when billing will start for your team. To keep storage costs low, the deployment retention window also changes to 30 days. Deployments older than 30 days will be deleted starting October 23, unless you opt out in your retention settings before then. Retention settings already at 30 days or shorter are unchanged. Control your Deployment Storage Review retention periods for Pre-Production, Production, Canceled, and Errored deployments with a Deployment…
A FUSE server for our in-house storage backend (opens on the source site)
The following is part of a series of posts about 2026 summer intern projects—for more, see “What the interns have wrought, special jumbo 2026 edition”
Amazon S3 Tables now support all Apache Iceberg V3 data types (opens on the source site)
AWS ·
Amazon S3 Tables now offer complete support for the Apache Iceberg V3 spec. Upgrade existing V2 tables or create new V3 tables with built-in compaction, maintenance, and engine compatibility.
Amazon S3 Vectors now supports metadata pre-filtering for higher recall on filtered searches (opens on the source site)
AWS ·
Amazon S3 Vectors now supports metadata pre filtering, delivering up to 5x higher recall on filtered searches. Filters evaluate before similarity search so scoped queries return more relevant results. Ideal for RAG, agentic apps, and document search.
Local S3 Storage Without MinIO: SeaweedFS and Garage in Docker Compose (opens on the source site)
Configure lightweight, permissive S3-compatible local development environments using SeaweedFS and Garage in Docker Compose, and verify them against AWS SDK v3 Node.js integration tests. Continue reading Local S3 Storage Without MinIO: SeaweedFS and Garage in Docker Compose on SitePoint.
Hobby projects now retain fewer deployments to free up storage (opens on the source site)
Vercel ·
Hobby projects now retain fewer deployments past the 30-day retention window. Hobby teams get 10GB of Deployment Storage. Every deployment you keep uses some of it, and going over the limit can block you from deploying until you free some up. Deployment Retention for Hobby teams now deletes old deployments sooner, so dormant projects stop holding storage that your active projects need. Each Hobby project now keeps its 3 most recent production deployments, plus its 3 most recent deployments of any type, regardless of age. Preview deployments no longer get their own protection. Your current…
Vercel Sandbox now provides 64 GB of storage (opens on the source site)
Vercel ·
Every Vercel Sandbox now includes 64 GB of storage, up from 32 GB. This includes sandboxes created from a Vercel Managed Image or custom image, as well as those configured with the deprecated runtime property. The additional space provides more room for large repositories, dependencies, build artifacts, and data workloads that spill to disk. Learn more about Sandbox images in the documentation.
Collections chunkBy() and Storage Path Hardening in Laravel 13.30 (opens on the source site)
Laravel ·
Laravel 13.30 adds a chunkBy() collection method, confines Storage::path() to the disk root, and prints why a queue worker stopped in queue:work output. The post Collections chunkBy() and Storage Path Hardening in Laravel 13.30 appeared first on Laravel News. Join the Laravel Newsletter to get Laravel articles like this directly in your inbox.
Vercel Sandbox now calculates snapshot storage costs daily (opens on the source site)
Vercel ·
Vercel now calculates charges for Sandbox snapshot storage from each day’s average usage and adds them to your monthly invoice. Previously, billing used one average across the entire monthly billing period. You can track these daily charges on the team’s Usage page and see how changes in storage affect your cost. The rate remains $0.08 per GB-month; only how usage is calculated has changed. The update takes effect automatically at the start of the next billing period for Pro and Enterprise teams. No action is required. Learn more about Sandbox snapshot storage in the documentation.…
POSETTE Talk Recap - Postgres Isn't Slow. Your Storage Is (opens on the source site)
A recap of Sai Srirampur's POSETTE 2026 talk on storage performance in Postgres, with a local NVMe vs. EBS benchmark and the production setup behind it.
Migrating Counter Service storage: Design choices and learnings (opens on the source site)
Grab ·
Introduction Counter Service is used across Grab’s anti-fraud platform to answer time-windowed count questions, such as recent ride requests by a user or failed payment attempts on a card. The service handles tens of thousands of queries per second (QPS) with about a billion requests per day, while maintaining strict requirements around latency and reliability to support real-time fraud rule evaluation. For most of its life, Counter Service was backed by a wide-column database that served the workload reliably as the service scaled. As part of a broader infrastructure review mandated at an…
Meta’s AI Storage Blueprint at Scale (opens on the source site)
Facebook ·
Over the past several years, model capabilities and training dataset sizes have experienced exponential growth. During the past year or so, the time between new-frontier-model releases has gone down from months to weeks. Reliable and fast access to storage is important to both the speed and computational cost of this AI innovation. If AI is [...] Read More... The post Meta’s AI Storage Blueprint at Scale appeared first on Engineering at Meta.
Linux tmpfs for Speed and Temporary Storage (opens on the source site)
tmpfs lets you mount a filesystem entirely in RAM. Here is how Linux already uses it, how to create your own mounts, and where it actually makes sense to use one.Continue reading...
Hunting orphan objects: 45% off our ClickHouse storage bill (and a near data-loss incident) (opens on the source site)
Tinybird ·
How we tracked down petabytes of orphaned objects in our ClickHouse clusters, recovered tens of thousands of dollars in monthly storage costs, and hardened our cleanup and recovery procedures after almost losing data along the way.
Improving storage efficiency in Magic Pocket, our immutable blob store (opens on the source site)
Dropbox ·
By turning compaction into a layered, adaptive pipeline and strengthening our monitoring and controls, we made Magic Pocket more resilient to workload changes.
Unleashing the Magic of Zendesk Datastore Management: Your One-Stop Self-Service Hub! (opens on the source site)
Zendesk ·
You may be new to this series; and if so welcome! If so, I encourage you to start at the beginning of our datastore journey and see the blog post “Unlocking Efficiency: A New Era for Datastore Provisioning”.Already up to date in our series? MAGICAL — then let’s continue with a quick re-cap.Where are we?We have introduced you to a multitude of aspects all pertaining to how we make the provisioning and utilisation of datastores quick, no-fuss and simple — as simple as clicking your fingers or making a wish.By continuing our theme of MAGIC, we enabled engineers at Zendesk to:Make a wish (detail…
A Journey to Empowerment: How Zendesk Engineers Transformed Infrastructure Provisioning (opens on the source site)
Zendesk ·
In the fast-paced world of engineering, the dream of easy infrastructure management and provisioning is a common aspiration. At Zendesk, this sentiment resonates deeply among our engineers. When we talk about infrastructure, we refer to a wide range of tools such as MySQL, S3, DynamoDB, Kafka topics, compute resources, network and routing configurations, security groups, secrets, credentials, configuration settings, dashboards, monitors, and log management.Challenges with self-service provisioningIn our recent blog post, Unlocking Efficiency: A New Era for Datastore Provisioning, we…
Connecting Applications to Self-Service Datastores (opens on the source site)
Zendesk ·
Are you ready for more self-service datastore adventures? If you haven’t already, have a look at our previous entries in this series:Unlocking Efficiency: A New Era for Datastore ProvisioningSimplifying Datastore Provisioning with Kubernetes OperatorsResolving Incidents With The Remote Incident ConsoleThey’re a fun read.The story so farLast time, in Simplifying Datastore Provisioning with Kubernetes Operators, we talked about making datastores easy to provision by just writing a few lines of YAML in a file called service.yml, like this:version: 1.0name: "Terrific Tents"description:…
Resolving Incidents With The Remote Incident Console (opens on the source site)
Zendesk ·
Supporting developers to debug and resolve issues with datastores in the Self-Service ecosystem.Welcome to the third blog post of our Self-Service Datastore series, where we share our journey towards creating a more efficient and reliable way to manage datastores at Zendesk.Previous blog posts:Unlocking Efficiency: A New Era for Datastore ProvisioningSimplifying Datastore Provisioning with Kubernetes OperatorsWe need reliable, fast, and compliant self-serve methods to provision datastores. Furthermore, we need to ways to access those datastores from applications; otherwise, they won’t serve…
Election 2029: Storage (opens on the source site)
Storage Since my last post about the data models, I’ve simplified things very slightly – basically the improvements that I thought about while writing the post have now been implemented. I won’t go into the details of the changes, as they’re not really important, but that’s just to explain why some examples might look like … Continue reading Election 2029: Storage →
Optimizing Databases on Kubernetes Ep.4: Kubernetes Storage: Benchmarking ZFS, Cloud Disks, and Local Paths (opens on the source site)
Introduction: In Episode 4 of the Optimizing Databases on Kubernetes series, Jérôme Petazzoni benchmarks the performance of various Kubernetes storage classes, including cloud block storage, ZFS, and Rancher’s Local Path provisioner. This episode dives into the practical aspects of measuring transactions per second, storage efficiency, and durability, offering insights into selecting the right storage solution for database workloads. Through detailed performance comparisons, Jérôme highlights how features like ZFS compression can optimize resource usage and boost database throughput.
Optimizing Databases on Kubernetes Ep.3: Exploring Kubernetes Storage with OpenEBS and ZFS (opens on the source site)
Introduction: In Episode 3 of the Optimizing Databases on Kubernetes series, Jérôme Petazzoni introduces ZFS, a versatile file system renowned for its features like compression, deduplication, and snapshots. Leveraging ZFS with Kubernetes, Jérôme demonstrates how to create efficient and flexible storage solutions, complete with automated setup and configuration using tools like OpenEBS LocalPV. This episode showcases the potential of ZFS to optimize storage performance and reliability in containerized environments. Overview of ZFS: Exploring the features of this advanced file system, from…
Simplifying Datastore Provisioning with Kubernetes Operators (opens on the source site)
Zendesk ·
IntroductionWelcome to the second blog post of our Self-Service Datastore series, where we share our journey towards creating a more efficient and reliable way to manage datastores at Zendesk. In today’s dynamic application development landscape, the ability to swiftly provision datastores is crucial for maintaining agility and delivering exceptional user experiences.Provisioning encompasses all steps involved in requesting a datastore: configuring it to meet company standards, ensuring security and compliance, and managing access credentials. In this article, we’ll explore how we have…
De-Googling - Email, Storage, Photos & Location Without Google Services (opens on the source site)
🎬 Intro # As I age throughout this life, my priorities are changing. Some might dismiss this as paranoia, but it’s undeniable that our privacy is at greater risk than ever before.
KV Storage: the Web's First Built-in Module (opens on the source site)
March 11, 2019 Chrome is experimenting with two new features that I firmly believe will completely change how we bundle and deploy JavaScript applications in the future (for the better): Built-in Modules and Import Maps. The first built-in module we’re shipping (behind the experimental web platform features flag) is called KV Storage. It’s an asynchronous key/value storage API built on top of IndexedDB. In this article on developers.google.com I introduce these new APIs and show you how you can use them in your applications. I’ve also built a demo application that shows how you can actually…
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