# catalog Published articles for catalog. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Red Hat Developer Hub: Preventing compliance violations with AI coding agents DevFeed: [Red Hat Developer Hub: Preventing compliance violations with AI coding agents]() Original publisher: [Read original article]() Author: Evan Shortiss, Ben Wilcock Published: 2026-09-15T13:17:13Z Content type: tutorial Language: en Sources: [Red Hat](), [Red Hat Developer]() Topics: [internal developer portal](), [AI-assisted coding](), [Backstage](), [Claude Code](), [Command-line interface](), [Model Context Protocol](), [Security]() Tags: [ai-coding-agents](), [ai-inference](), [backstage](), [catalog](), [claude-code](), [cli](), [developer](), [developer-productivity](), [developer-tools](), [mcp](), [platform-engineering](), [security]() ### AI overview This tutorial demonstrates how an AI coding agent connected to Red Hat Developer Hub can query a Backstage software catalog, TechDocs, and software templates before making architectural decisions. Using a simulated insurance-company catalog, the demo shows how this context can help avoid PCI-DSS compliance violations, resolve governance conflicts, and create a traceable decision record. ### Source excerpt AI coding agents can generate entire services, reason about architectures, and scaffold applications in minutes. But ask one to build a service for your organization and you'll quickly notice the gap: it doesn't know your rules. It doesn't know which messaging broker your compliance team mandates, which services already exist in adjacent domains, or which project template is the golden path for your team. The post Red Hat Developer Hub: Preventing compliance violations with AI coding agents appeared first on Red Hat Developer. ## Every service needs an owner DevFeed: [Every service needs an owner]() Original publisher: [Read original article]() Author: Sridhar Rajarao Published: 2026-09-12T00:00:00Z Content type: article Language: en Sources: [Sridhar Rajarao]() Topics: [systems](), [incident]() Tags: [catalog](), [customer](), [incident](), [on-call](), [ownership](), [platform-engineering](), [production](), [reliability](), [service](), [service-catalog](), [sre](), [startups](), [team]() ### AI overview The article argues that growing organizations need a focused service catalog to make production ownership visible. It recommends recording each service's customer outcome, owning team, current on-call contact, deployment path, health dashboard, runbook, and dependencies, and maintaining those records as part of engineering work. ### Source excerpt A useful service catalog is not an inventory project. It is a public record of who owns a customer outcome when the system is healthy and when it fails. ## Unifying governance across engines and catalogs in the Open Lakehouse DevFeed: [Unifying governance across engines and catalogs in the Open Lakehouse]() Original publisher: [Read original article]() Author: Daniel Weeks; Ryan Blue; Andrei Tserakhau Published: 2026-09-10T15:05:10Z Content type: article Language: en Sources: [Databricks]() Topics: [Apache Iceberg](), [data](), [databricks](), [Apache Spark](), [DuckDB]() Tags: [apache](), [apis](), [catalog](), [data](), [databricks](), [duckdb](), [governance](), [open](), [product](), [spark]() ### AI overview The article examines two additions to the Apache Iceberg REST Catalog specification: read restrictions and catalog labels. It explains how they support governance across catalogs and engines, including centralized and delegated enforcement, and discusses trust requirements for engines such as Spark, DuckDB, and Trino. ### Source excerpt In our previous posts, we showed how open table formats, open APIs and unified governance... ## Kodebits Day 84: Reduce Product \[FREE\] DevFeed: [Kodebits Day 84: Reduce Product \[FREE\]]() Original publisher: [Read original article]() Published: 2026-08-29T16:00:27Z Content type: article Language: en Sources: [Kodeco | High quality programming tutorials: iOS, Android, Swift, Kotlin, Unity, and more]() Topics: [Swift]() Tags: [article](), [books](), [catalog](), [development](), [free](), [learn](), [swift]() ### AI overview A short Swift challenge focused on practicing higher-order functions, presented as part of Kodeco's mobile development learning content. ### Source excerpt Practice higher-order functions with a short swift challenge. ## Internal Developer Platform Golden Paths Guide DevFeed: [Internal Developer Platform Golden Paths Guide]() Original publisher: [Read original article]() Author: Rashmi Hegde Published: 2026-08-25T00:00:00Z Content type: tutorial Language: en Sources: [Harness Blog]() Topics: [internal developer platform](), [Platform Engineering](), [Developer Platform](), [Template]() Tags: [catalog](), [guide](), [internal-developer-platform](), [platform-engineering](), [productivity](), [self-service](), [visibility](), [workflows]() ### AI overview This guide explains how platform engineers can evolve an internal developer platform from a basic service catalog into maintained golden paths. It describes opinionated workflows, self-service capabilities, and embedded operational practices intended to improve developer adoption, speed, and reliability. ### Source excerpt Transform your service catalog into golden paths that developers love. Build an IDP that boosts productivity. Learn more. | Blog ## Internal Developer Portal: How Do I Get Started? DevFeed: [Internal Developer Portal: How Do I Get Started?]() Original publisher: [Read original article]() Author: Sooraj Shah Published: 2026-07-30T10:23:42Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [internal developer portal](), [Developer experience](), [Platform Engineering](), [dev-tools](), [Microservice](), [Cloud Native Ecosystem](), [.NET MAUI]() Tags: [catalog](), [cloud-native](), [dev-tools](), [developer-experience](), [developer-portal](), [internal-developer-portal](), [jobs](), [microservices](), [onboarding](), [platform](), [platform-engineering](), [user-stories]() ### AI overview This article explains how platform engineering teams can start an internal developer portal by building a focused minimum viable product. It recommends reducing developer complexity, grounding the portal in real use cases and user stories, gathering stakeholder feedback, and improving the portal iteratively. ### Source excerpt You're using more dev tools that solve different problems, and now your breaking the developer experience. Learn the first steps to get started. ## Using Pulumi With an Internal Developer Portal | Port DevFeed: [Using Pulumi With an Internal Developer Portal | Port]() Original publisher: [Read original article]() Author: Mor Paz Published: 2026-07-30T10:17:19Z Content type: tutorial Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [internal developer portal](), [Infrastructure as code](), [Provisioning](), [GitOps](), [DevOps](), [Architecture & Design]() Tags: [building](), [catalog](), [developer](), [developer-portal](), [developers](), [devops](), [how-to](), [iac](), [infrastructure](), [infrastructure-as-code](), [internal-developer-portal](), [learn](), [platform](), [provisioning](), [resources](), [software](), [software-catalog]() ### AI overview This tutorial explains how internal developer portals can make infrastructure as code easier and safer for developers. It describes using a software catalog and reusable self-service actions to abstract IaC details and provision developer environments, with Pulumi and Port as the example. ### Source excerpt Internal developer portals can close the IaC and developer loop. Let's look at a live example of how to use Pulumi and internal developer portals. ## Set Up Developer Self-service in Your Internal Developer Portal | Port DevFeed: [Set Up Developer Self-service in Your Internal Developer Portal | Port]() Original publisher: [Read original article]() Author: Yonatan Boguslavski Published: 2026-07-30T10:17:19Z Content type: tutorial Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [internal developer portal](), [Platform Engineering](), [Provisioning](), [Terraform](), [AWS Lambda](), [Jenkins](), [REST API](), [GitHub](), [Amazon S3](), [Microservice]() Tags: [api](), [aws](), [aws-lambda](), [catalog](), [cognitive-load](), [configuration](), [developer](), [developer-portal](), [github](), [infrastructure](), [internal-developer-portal](), [jenkins](), [platform-engineering](), [provisioning](), [rest-api](), [s3](), [terraform](), [tooling]() ### AI overview This article explains how to implement developer self-service actions in Port's internal developer portal. It covers provisioning, updating, and deleting software catalog entities and cloud resources, while describing webhook-based execution through tools such as AWS Lambda and REST APIs. ### Source excerpt Port supports many variations of implementing developer self service actions, including allowing for self-service RBAC, TTL and manual approvals. ## Building an Internal Developer Portal for a Serverless Architecture DevFeed: [Building an Internal Developer Portal for a Serverless Architecture]() Original publisher: [Read original article]() Author: Mor Paz Published: 2026-07-30T10:11:28Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [internal developer portal](), [Serverless](), [sdlc](), [workflow automation](), [Platform Engineering](), [DevOps](), [CI/CD](), [API](), [dora metrics](), [Amazon Simple Queue Service (SQS)](), [incident](), [Security]() Tags: [api](), [automation](), [catalog](), [ci-cd](), [developer-portal](), [devops](), [dora-metrics](), [incident](), [internal-developer-portal](), [platform-engineering](), [security](), [serverless](), [serverless-architecture](), [workflow-automation]() ### AI overview This article explains how an internal developer portal can support software development in a serverless architecture. It describes software catalogs, self-service actions, workflow automation, APIs, and scorecards for improving developer independence, operational decision-making, security responses, and engineering standards. ### Source excerpt This post covers how to set up and use an internal developer portal to support the software development life cycle in a serverless architecture. ## Building your golden path: Lessons from the trenches DevFeed: [Building your golden path: Lessons from the trenches]() Original publisher: [Read original article]() Author: Pablo Castelo Published: 2026-07-23T05:40:01Z Content type: article Language: en Sources: [Platform Engineering Blog]() Topics: [internal developer portal](), [Backstage](), [data]() Tags: [article](), [backstage](), [catalog](), [complexity](), [integrations](), [internal-developer-portal](), [use-cases]() ### AI overview This article shares practical lessons from implementing a golden path through an internal developer portal. It emphasizes that adoption depends more on user experience and accurate catalog data than on technical sophistication, recommending a minimal starting point with a service catalog and a few common-use-case templates. ### Source excerpt Lessons and a "what not to do" compilation for organizations implementing a golden path. It moves beyond the theoretical concept to cover the difficult realities of implementation ## A Quick Migration From Backstage to Port & What You Need to Know DevFeed: [A Quick Migration From Backstage to Port & What You Need to Know]() Original publisher: [Read original article]() Author: Daniel Sinai Published: 2026-07-22T12:04:29Z Content type: tutorial Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [migration](), [internal developer portal](), [Backstage](), [data](), [Platform Engineering](), [API](), [Kubernetes]() Tags: [api](), [backstage](), [catalog](), [data](), [developer-portal](), [internal-developer-portal](), [kubernetes](), [migration](), [platform-engineering](), [software]() ### AI overview This article explains how to migrate an internal developer portal and its data from Backstage to Port. It presents an OSS migration tool, describes importing data through the Backstage API, and introduces Port Blueprints for extending the data model and incorporating Kubernetes resources. ### Source excerpt Building an internal developer portal often begins with some experimentation. We will show a quick and handy way to import your data from Backstage to Port. ## Announcing the AWS Exporter | Port DevFeed: [Announcing the AWS Exporter | Port]() Original publisher: [Read original article]() Author: Tal Sabag Published: 2026-07-22T12:04:28Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [internal developer portal](), [Amazon Web Services](), [Amazon S3](), [Amazon Simple Queue Service (SQS)](), [AWS IAM]() Tags: [aws](), [catalog](), [cloud](), [configuration](), [developer-portal](), [encryption](), [iam](), [internal-developer-portal](), [queue](), [resource](), [s3](), [serverless](), [software-catalog]() ### AI overview Port's AWS exporter imports live AWS resource data into a software catalog and internal developer portal. It supports more than 500 resource types, maps them to blueprints and relations, and exposes metadata, tags, console links, and resource-specific details such as encryption and access configuration. ### Source excerpt The AWS exporter brings us even closer to realizing our vision of getting everything into the software catalog and the internal developer portal. ## Port Slack app is now in open beta DevFeed: [Port Slack app is now in open beta]() Original publisher: [Read original article]() Author: Matan Grady Published: 2026-07-22T11:34:52Z Content type: release Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [Slack](), [internal developer portal](), [Artificial Intelligence](), [API](), [Authorization](), [incident](), [pull-requests](), [MCP Server]() Tags: [ai](), [api](), [catalog](), [features](), [incident](), [integration](), [launch](), [open](), [pull-requests](), [slack](), [workflows]() ### AI overview Port's Slack app is now in open beta. It brings Port's AI assistant into Slack so users can ask about services, ownership, dependencies, and software-catalog information, trigger configured self-service workflows, and receive catalog-change notifications without leaving conversations. ### Source excerpt Port Slack app is now in open beta, enabling seamless integration, notifications, and workflows directly within Slack environments. ## Harness IDP AI Asset Catalog Organizes and Governs Prompts, Skills, Agents, Plugins, and Commands DevFeed: [Harness IDP AI Asset Catalog Organizes and Governs Prompts, Skills, Agents, Plugins, and Commands]() Original publisher: [Read original article]() Author: Rashmi Hegde Published: 2026-07-21T00:00:00Z Content type: opinion Language: en Sources: [Harness Blog]() Topics: [internal developer portal](), [shadow AI](), [Platform Engineering](), [Generative AI](), [Security]() Tags: [ai](), [catalog](), [discovery](), [git](), [governance](), [idp](), [platform-engineering](), [search](), [security](), [shadow-ai]() ### AI overview The article presents Harness IDP's AI Asset Catalog, which brings prompts, skills, agents, plugins, and custom commands into a governed software catalog. It describes Git-based discovery, semantic search, ownership and lineage mapping, and automated scorecards for risk and compliance. ### Source excerpt Harness IDP AI Asset Catalog helps teams discover, govern, and reuse AI assets with automated Git discovery, scorecards, and semantic search. | Blog ## Building a Transformer-Based Category Recommender at Thumbtack DevFeed: [Building a Transformer-Based Category Recommender at Thumbtack]() Original publisher: [Read original article]() Author: Andrew Morss Published: 2026-07-20T20:23:27Z Content type: article Language: en Sources: [Thumbtack Engineering - Medium]() Topics: [recommendation systems](), [Transformer](), [Machine learning](), [email](), [push-notification]() Tags: [catalog](), [data-science](), [email](), [engineering](), [machine-learning](), [model](), [push-notification](), [recommendations](), [recommender-systems](), [torch]() ### AI overview This engineering article describes Thumbtack's category recommender, which selects home-service categories for push and email notifications. It explains how the system addresses popularity bias through negative sampling and how Thumbtack's small category catalog and sparse user activity shape the recommendation problem. ### Source excerpt A look at compensating for popularity bias in recommender systems using negative sampling strategies By: Andrew Morss, Senior Applied Scientist Introduction A recommender system is a machine learning model that, given a user and a catalog of items, predicts which items that user is most likely to want. Recommenders set your YouTube playlist, determine what items Amazon suggests for you, push you songs on Spotify and customize your Steam store. If you're a homeowner, Thumbtack's recommender systems can suggest home projects for you such as house cleaning or lawn mowing. Thumbtack connects users with professionals spread across almost 500 different job categories. Job categories are a kind of occupational bucket that Thumbtack uses as a taxonomy to categorize local service professionals (pros). Pros have the opportunity to choose categories of jobs that they want to receive leads on; examples include things like "Electrical and Wiring Repair", "Local Moving" or "Snow Plowing". Thumbtack's Lifecycle marketing team uses a category recommender to choose which categories to surface to users in our push and email notifications. Choosing the right ones is critical. A well-chosen suggestion is how a customer starts a search for a new project, finds the right service professional, and ultimately gets work done. An example of a push notification and an in-email category recommendation. The Problem Space: Category Recommendation There are several features of category recommendations at Thumbtack that are fairly unique in the item recommender space. The number of categories that we have is relatively small (~500) compared to the number of items that are usually seen in recommender systems, which simplifies the problem considerably. Usually recommenders require a two stage approach where an initial, low compute, filtering stage reduces the number of items to some "candidate" list of items before a more complicated model ranks that smaller set of items. With a relatively small cat ## Backstage in Amsterdam: Highlights from BackstageCon and KubeCon + CloudNativeCon Europe 2026 DevFeed: [Backstage in Amsterdam: Highlights from BackstageCon and KubeCon + CloudNativeCon Europe 2026]() Original publisher: [Read original article]() Author: André Wanlin, Emma Indal & Ruxandra Stanciu, Spotify Published: 2026-04-20T00:00:00Z Content type: article Language: en Sources: [Backstage Software Catalog and Developer Platform Blog]() Topics: [Backstage](), [Developer experience](), [internal developer portal](), [Tooling](), [Command-line interface](), [Maintainers](), [pull-requests]() Tags: [2026](), [backstage](), [catalog](), [cli](), [community](), [contributors](), [developer-experience](), [developer-portal](), [ecosystem](), [engineering](), [europe](), [explore](), [idp](), [internal-developer-platform](), [keynote](), [kubecon](), [maintainers](), [open-source](), [platform-engineering](), [plugin](), [plugins](), [pull-requests](), [q-a](), [red-hat](), [software-catalog](), [software-templates](), [techdocs]() ### AI overview A recap of BackstageCon and KubeCon + CloudNativeCon Europe 2026 in Amsterdam highlights community talks, maintainer discussions, a documentary premiere, a live keynote demonstration, and ContribFest. It also covers Backstage deployment governance, unified developer experience, catalog workflows, platform CLI usage, and the plugin ecosystem. ### Source excerpt Backstage in Amsterdam: Highlights from BackstageCon and KubeCon + CloudNativeCon Europe 2026 ## Kubeflow Community Distribution 26.03.1 Release Announcement DevFeed: [Kubeflow Community Distribution 26.03.1 Release Announcement]() Original publisher: [Read original article]() Author: Kubeflow 26.03 Release Team Published: 2026-04-11T05:00:00Z Content type: release Language: en Sources: [Kubeflow]() Topics: [releases](), [Kubernetes](), [MinIO](), [istio](), [OpenID connect (OIDC)](), [kubectl]() Tags: [announcement](), [authentication](), [authorization](), [catalog](), [ci](), [istio](), [kubectl](), [kubernetes](), [minio](), [network](), [oidc](), [parallel](), [release](), [storage](), [ui](), [updates](), [versioning]() ### AI overview The Kubeflow Community Distribution 26.03.1 release introduces calendar-based versioning and updates components including Kubernetes, Kubeflow Pipelines, KServe, Trainer, notebooks, the dashboard, Istio, and related dependencies. It also adds native OIDC support, conditional and parallel Local Runner control flows, SeaweedFS storage support, and completes MinIO deprecation. ### Source excerpt The release versioning is now calendar-based (Year.Month.Patch). Around two base releases are planned per year with optional patch releases. The best-effort only community support is roughly 6 months and there is commercial support available from multiple vendors. Please update regularly as explained in our upgrading and extending section to benefit also from security and performance improvements. Release details: 26.03 and 26.03.1. ## Inside Mirakl's agentic commerce vision DevFeed: [Inside Mirakl's agentic commerce vision]() Original publisher: [Read original article]() Published: 2025-12-01T22:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [ChatGPT](), [Documentation](), [Support](), [Data Quality]() Tags: [agentic](), [ai](), [ai-agents](), [catalog](), [chatgpt](), [customer](), [data-quality](), [documentation](), [efficiency](), [support]() ### AI overview Mirakl describes an agentic commerce strategy in which AI becomes a company-wide capability and employees build agents for individual and team workflows. Using ChatGPT Enterprise and other AI systems, Mirakl reports faster technical documentation, improved customer-support efficiency with high satisfaction, faster catalog onboarding, fewer categorization errors, and multilingual 24/7 support. ### Source excerpt Mirakl is redefining commerce through AI agents and ChatGPT Enterprise--achieving faster documentation, smarter customer support, and building toward agent-native commerce with Mirakl Nexus. ## Streamfest Day 1: AI, governance, and enterprise agents DevFeed: [Streamfest Day 1: AI, governance, and enterprise agents]() Original publisher: [Read original article]() Author: Jenny Medeiros Published: 2025-11-11T00:00:00Z Content type: article Language: en Sources: [Redpanda]() Topics: [Streaming](), [Artificial Intelligence](), [ai-governance](), [migration](), [Databricks Unity Catalog integration](), [databricks]() Tags: [2025](), [acquisition](), [agents](), [ai](), [ai-governance](), [catalog](), [chat](), [confluent](), [databricks](), [databricks-unity-catalog-integration](), [developers](), [enterprise](), [event](), [migration](), [product](), [streaming](), [virtual-event]() ### AI overview Redpanda Streamfest is a two-day virtual event focused on data streaming for the AI era. Day one highlights sessions on AI, governance, enterprise agents, product capabilities, customer use cases, and migration from Confluent to Redpanda. ### Source excerpt Redpanda Streamfest is a two-day virtual event for developers to master data streaming for the AI era. Here's what happened on day one. ## Introducing the Self-Serve Catalog Experience DevFeed: [Introducing the Self-Serve Catalog Experience]() Original publisher: [Read original article]() Published: 2025-11-05T00:00:00Z Content type: article Language: en Sources: [Chainguard: Unchained]() Topics: [chainguard](), [container images](), [API](), [Provisioning]() Tags: [catalog](), [chainguard](), [chainguard-catalog-pricing](), [chainguard-console](), [chainguard-custom-assembly](), [chainguard-migration](), [chainguard-self-serve-experience](), [container-images](), [provisioning](), [registry](), [self-serve-chainguard]() ### AI overview Chainguard has generally released its Self-Serve Experience for Catalog customers. Organization owners can browse the catalog and add, rename, or remove container images directly through the Chainguard Console, API, or chainctl, without provisioning requests or approval delays. ### Source excerpt Chainguard launches the Self-Serve Experience for Catalog customers: instantly add, rename, or remove container images from our catalog, no tickets required. ## Migrating legacy services to a modern developer portal: A technical guide to Backstage integration DevFeed: [Migrating legacy services to a modern developer portal: A technical guide to Backstage integration]() Original publisher: [Read original article]() Author: Damola Obaleke, The New York Times Published: 2025-08-08T00:00:00Z Content type: article Language: en Sources: [Backstage Software Catalog and Developer Platform Blog]() Topics: [Backstage](), [internal developer portal](), [Developer experience](), [Script]() Tags: [backstage](), [catalog](), [developer](), [developer-experience](), [developer-portal](), [development](), [github](), [guide](), [idp](), [integration](), [internal-developer-platform](), [internal-developer-portal](), [open-source](), [platform-engineering](), [software](), [software-catalog](), [software-development](), [software-templates](), [techdocs](), [technical]() ### AI overview This technical guide describes migrating a legacy internal service catalogue to the Backstage Software Catalog. It covers automated scripts for transforming and ingesting service definitions, adoption strategies, and cultural and technical challenges when introducing a modern internal developer portal. ### Source excerpt TL;DR: As part of our efforts to streamline service management and improve developer experience, our engineering org migrated from a legacy service catalogue to the Backstage Software Catalog. In this post, I'll share what we learned from that journey --- including how to build an automated script to migrate services from an existing internal service catalogue to a modern internal developer portal (IDP) like Backstage. I'll also outline strategies to help drive adoption across your organization, along with tips for addressing both the cultural and technical roadblocks you might encounter along the way. ## Cloud-native data ingestion architecture using AWS, Databricks, and open-source tools DevFeed: [Cloud-native data ingestion architecture using AWS, Databricks, and open-source tools]() Original publisher: [Read original article]() Author: R Tyler Croy Published: 2025-08-01T00:00:00Z Content type: tutorial Language: en Sources: [Scribd Tech]() Topics: [data](), [Amazon Web Services](), [databricks](), [event driven](), [Amazon Simple Queue Service (SQS)](), [Kafka](), [Open Source](), [Azure](), [Google Cloud Platform (GCP)]() Tags: [architecture](), [aws](), [azure](), [catalog](), [cloud](), [cloud-native](), [data](), [databricks](), [deltalake](), [event-driven](), [featured](), [google-cloud](), [kafka](), [open-source](), [rust](), [sqs]() ### AI overview This article presents Scribd's cloud-native data-ingestion architecture for building large datasets for Delta Lake. It describes using AWS services and open-source tools such as kafka-delta-ingest, oxbow, and Airbyte in a more event-driven and reliable platform, with Databricks and Unity Catalog. The approach can also be adapted to Azure, Google Cloud Platform, or on-premises environments. ### Source excerpt Delta Lake is a fantastic technology for quickly querying massive data sets, but first you need those massive data sets! In this talk from Data and AI Summit 2025 I dive into the cloud-native architecture Scribd has adopted to ingest data from AWS Aurora, SQS, Kinesis Data Firehose and more! ## No more disks: the architecture behind stateless compute in ClickHouse Cloud DevFeed: [No more disks: the architecture behind stateless compute in ClickHouse Cloud]() Original publisher: [Read original article]() Author: Tom Schreiber Published: 2025-07-09T00:00:00Z Content type: article Language: en Sources: [ClickHouse Blog]() Topics: [clickhouse](), [Cloud](), [Databases](), [Apache Iceberg]() Tags: [architecture](), [atomic](), [building](), [catalog](), [clickhouse](), [cloud](), [cloud-native](), [latency](), [low-latency](), [scale](), [state](), [stateless](), [storage]() ### AI overview This post explains how ClickHouse Cloud achieved fully stateless compute by introducing an in-memory database engine powered by a Shared Catalog. Compute nodes no longer depend on local disks, enabling fast elastic provisioning, rapid wake-ups, and stateless processing across native and open data formats. ### Source excerpt ClickHouse Cloud compute is now fully stateless. This post introduces the final piece that made it possible, a new in-memory database engine powered by a Shared Catalog, and walks through how we got there. ## Unlock the Full Chainguard Containers Catalog - Now with a Catalog Pricing Option DevFeed: [Unlock the Full Chainguard Containers Catalog - Now with a Catalog Pricing Option]() Original publisher: [Read original article]() Published: 2025-06-26T00:00:00Z Content type: release Language: en Sources: [Chainguard: Unchained]() Topics: [chainguard containers](), [Containers]() Tags: [catalog](), [catalog-pricing](), [chainguard-containers](), [chainguard-images-pricing](), [container-images](), [containers](), [custom-assembly](), [cves](), [images](), [pricing]() ### AI overview Chainguard introduces Catalog Pricing, an option that gives teams unlimited access to the full Chainguard Containers catalog, its underlying packages, and new monthly images. Pricing scales with the size of the containerized engineering organization and includes Custom Assembly. ### Source excerpt Chainguard is enabling customers with an easy way to access the full Chainguard Containers catalog with Catalog Pricing. Learn more about the new pricing option. [Next page]()