# Automation Automation is the creation and application of technology to monitor and control the production and delivery of products and services. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Itential's Agentic Platform for Enterprise Network Automation and Orchestration DevFeed: [Itential's Agentic Platform for Enterprise Network Automation and Orchestration]() Original publisher: [Read original article]() Author: Roger Perkin Published: 2026-09-18T09:03:07Z Content type: article Language: en Sources: [Roger Perkin Network Automation Consultant]() Topics: [Automation](), [Orchestration](), [Network](), [Artificial Intelligence](), [Access Control](), [Security](), [Ansible](), [Terraform](), [Python](), [Cloud]() Tags: [access-control](), [agentic](), [automation](), [faq](), [infrastructure](), [network](), [orchestration](), [python](), [security](), [terraform]() ### AI overview Itential provides an enterprise platform for building and executing AI agents and deterministic workflows, including Ansible playbooks, Python scripts, and Terraform jobs. Its automation platform connects infrastructure, cloud environments, and IT systems through a unified engine. ### Source excerpt Itential is the Agentic Platform for Enterprise Operations. They make it easy to build and execute agents as well as deterministic workflows, such as Ansible playbooks, Python scripts or Terraform jobs. Itential Automation Platform The Itential Automation Platform is an enterprise-grade network automation and orchestration solution designed to connect multi-domain infrastructure, cloud environments, and IT systems ... ## Zero-touch deployment requirements for Mac fleet backup DevFeed: [Zero-touch deployment requirements for Mac fleet backup]() Original publisher: [Read original article]() Author: Kari Wilson Published: 2026-09-17T16:51:35Z Content type: article Language: en Sources: [Backblaze Blog | Cloud Storage & Cloud Backup]() Topics: [Deployment](), [Automation](), [Software]() Tags: [agent](), [automation](), [backing-up](), [backup](), [businessbackup](), [deployment](), [featured](), [featured-backing-up](), [fleet](), [mac]() ### AI overview The article argues that zero-touch deployment has become essential for Mac fleets, especially for lean IT teams managing devices through MDM platforms such as Jamf Pro, Kandji, and Addigy. It explains how interactive installers, permission prompts, and registration failures create support work and can leave machines unprotected. ### Source excerpt For lean IT teams, zero-touch Mac backup deployment is no longer optional. Learn what truly silent installation requires and how Backblaze helps admins protect every device across Jamf, Kandji, Addigy, and other MDM-managed fleets without user interaction or follow-up work. The post Zero-Touch or It Doesn't Scale: The New Standard for Mac Fleet Backup appeared first on Backblaze Blog | Cloud Storage & Cloud Backup ## Ubuntu 26.10 Snapshot 4 ISOs Published DevFeed: [Ubuntu 26.10 Snapshot 4 ISOs Published]() Original publisher: [Read original article]() Author: Michael Larabel Published: 2026-09-17T15:54:15Z Content type: release Language: en Sources: [Phoronix]() Topics: [Ubuntu](), [Linux](), [Graphics](), [Automation](), [Rust]() Tags: [beta](), [canonical](), [desktop-linux](), [gnome-51](), [graphics](), [linux](), [linux-benchmarking](), [linux-hardware-benchmarks](), [linux-hardware-reviews](), [linux-how-to](), [linux-performance](), [linux-server-benchmarks](), [open-source-graphics](), [phoronix](), [phoronix-test-suite](), [release](), [rust](), [snapshot](), [testing](), [ubuntu](), [ubuntu-benchmarks](), [ubuntu-hardware]() ### AI overview Ubuntu 26.10 Snapshot 4 ISOs have been published for testing. The snapshot includes Linux 7.2, GNOME 51, Mesa 26.2 graphics drivers, updates over Ubuntu 26.04 LTS, and completed transition to Rust Coreutils. Ubuntu 26.10 beta is scheduled for 24 September, with stable release planned for 15 October. ### Source excerpt The fourth monthly-ish snapshot of Ubuntu 26.10 "Stonking Stingray" is now available for testing and comes ahead of next week's Ubuntu 26.10 beta milestone... ## Developer portal security and governance best practices DevFeed: [Developer portal security and governance best practices]() Original publisher: [Read original article]() Author: Jesse Wang Published: 2026-09-17T00:00:00Z Content type: article Language: en Sources: [Harness Blog]() Topics: [internal developer portal](), [Security](), [Access Control](), [Automation](), [audit](), [Vulnerabilities](), [Terraform](), [Deployment]() Tags: [access-control](), [auditability](), [automation](), [developer](), [governance](), [hardcoded-credentials](), [internal-developer-portal](), [microservices](), [security](), [security-compliance]() ### AI overview This article presents security and governance practices for internal developer portals. It focuses on role-based access control, automated audit logging, centralized visibility, software catalog governance, and reducing risks from infrastructure drift and workflow sprawl. ### Source excerpt Enhance developer portal security, compliance, and auditability without slowing down engineering teams. See how Harness helps simplify IDP governance. | Blog ## Rate limits on GitLab.com are changing DevFeed: [Rate limits on GitLab.com are changing]() Original publisher: [Read original article]() Author: Sam Wiskow Published: 2026-09-17T00:00:00Z Content type: release Language: en Sources: [GitLab]() Topics: [GitLab](), [Automation](), [Users](), [account]() Tags: [2026](), [automation](), [credentials](), [gitlab](), [limits](), [platform](), [product](), [user](), [users]() ### AI overview GitLab.com will align rate limits with subscription tiers beginning October 19, 2026. Free accounts and unauthenticated requests change first, while Premium and Ultimate limits change in January 2027. Unauthenticated requests are limited to 60 requests per hour per IP address, with preview windows scheduled for October 7 and 14. ### Source excerpt GitLab.com hosts millions of projects for teams of every size that need a platform they can rely on. Demand is climbing quickly, and we expect platform load to grow several times over this year. Predictable limits are what keep GitLab.com fast for everyone on it, including the automation and agent workloads teams are building on the platform. To hold that as we scale, we're updating how rate limits work. Starting October 19, 2026, rate limits on GitLab.com will align with your subscription tier. Free accounts and unauthenticated requests happen first, on October 19. Premium and Ultimate move in January 2027. What is changing Limits align with your subscription. Free, Premium, and Ultimate subscription plans get their own limits, applied per user and per top-level group. Free takes effect October 19; Premium and Ultimate in January 2027. Signing in gets you the full limit. An authenticated request is governed by your subscription plan below. A request that arrives with no credentials gets 60 requests per hour per IP address. The per-plan limits are published in the rate limits documentation. What happens on October 19 There will be two preview windows for Free and unauthenticated traffic, on October 7 and October 14 from 15:00 to 19:00 UTC. Signed-in Premium and Ultimate requests are not affected, since those limits do not change until January. Unauthenticated requests are capped no matter where they come from, including automation running against a paid account without credentials. A preview window (engineers call these brownouts) is a short, planned window where we switch the new limits on and then switch them back off. Nothing else about the service changes while it runs. The point is to give you a real look at how your own workloads behave under the new limits, weeks before they apply for good. On October 19 the new limits take effect. We set these limits by looking at how GitLab.com is actually used. Almost all users are already inside the new limits and won't n ## New MCP tools help platform teams scale automation safely DevFeed: [New MCP tools help platform teams scale automation safely]() Original publisher: [Read original article]() Author: Rebecca Carter Published: 2026-09-17T00:00:00Z Content type: article Language: en Sources: [GitLab]() Topics: [Model Context Protocol (MCP)](), [GitLab](), [Automation](), [Artificial Intelligence](), [CI/CD](), [Security]() Tags: [agentic](), [agentic-ai](), [ai](), [automation](), [features](), [mcp](), [platform](), [platform-teams](), [product](), [security-policies](), [software](), [software-delivery]() ### AI overview GitLab 19.4 expands its MCP server with tools that let platform teams automate more of the software lifecycle, including running pipelines, managing merge requests, and triaging vulnerabilities. The release pairs broader agent access with governance controls: read-only actions can run automatically, while writes, merges, and deletes require human review. ### Source excerpt Agentic tools are moving fast past code completion into running pipelines, opening merge requests, and triaging work on a team's behalf. The Model Context Protocol (MCP) has become the common way these agents reach into a team's existing tools, which means the agents touching an organization's software delivery pipeline are no longer only the ones a platform team chose and configured themselves. That reach is also where automation typically stalls. The more an agent can do, the more a platform team has to think about what it should be allowed to do without asking first, and that's a governance problem that tends to get solved by restricting access rather than by extending it. Left unaddressed, it doesn't resolve on its own: Teams either lock agents down to a handful of safe, read-only actions, or they open things up and hope, neither of which scales. GitLab's answer is to make wide tool access and consistent governance travel together. As platform engineers roll out agents across their organization, whether that's a GitLab flow or a third-party client connected through the GitLab MCP server, it needs the same reach into GitLab. But broader reach raises the stakes on control: a human should decide which actions an agent can take on its own and which need a reviewer, so routine, read-only lookups move fast while anything that writes, merges, or deletes waits for the reviewer that team chose. GitLab Transcend returns in October Coding agents are increasing your speed of development, but your reviews, security policies, and release cycles still have to keep pace. Our Transcend event on October 6 will demonstrate how GitLab is helping teams close that gap and explore what it takes to carry the speed of agentic AI across the software lifecycle. Register for the livestream today! Built for how platform teams scale automation With GitLab 19.4, platform teams can automate more of the software lifecycle end to end: An agent can run a pipeline, open and update a merge request, ## AI Adoption Expands the Attack Surface and Security Workload for SMBs DevFeed: [AI Adoption Expands the Attack Surface and Security Workload for SMBs]() Original publisher: [Read original article]() Author: Phil Muncaster Published: 2026-09-16T09:00:00Z Content type: article Language: en Sources: [WeLiveSecurity]() Topics: [Security](), [Artificial Intelligence](), [Business Security](), [Automation](), [DevOps](), [AI Bots]() Tags: [ai](), [automation](), [business-security](), [cybersecurity](), [risk](), [security](), [sensitive-data](), [smb]() ### AI overview AI adoption is expanding the attack surface and increasing security demands for small and medium-sized businesses. The article argues that automation, expert support, and human oversight are needed to improve cyber readiness and resilience. ### Source excerpt As AI adoption expands the attack surface and adds to the security workload, businesses need automation backed by experts ## Cisco UCS Manager: Celebrating the legacy, shaping the future with Cisco Intersight DevFeed: [Cisco UCS Manager: Celebrating the legacy, shaping the future with Cisco Intersight]() Original publisher: [Read original article]() Author: Jacob Van Ewyk Published: 2026-09-15T21:00:37Z Content type: opinion Language: en Sources: [Cisco Blogs]() Topics: [Cisco](), [Server](), [Automation](), [configuration](), [API](), [legacy]() Tags: [api](), [automation](), [cisco](), [data-center](), [end-of-life](), [eol](), [infrastructure](), [legacy](), [lifecycle](), [management](), [server]() ### AI overview Cisco describes the legacy of Cisco UCS Manager and positions Cisco Intersight as the strategic platform for future Cisco UCS software management. The article also outlines announced end-of-sale and end-of-life milestones, including a planned Last Date of Support of December 31, 2030, subject to applicable contracts and service terms. ### Source excerpt Cisco UCS Manager shaped 17 years of infrastructure management. Now, with its end-of-life announced, Cisco Intersight carries that foundation forward with centralized visibility, automation, and scale. Learn the key dates for the UCS Manager EOL. ## Fanora Control Terminal: A Fan-Shaped Smart-Home Control Panel with Jade and Aluminum DevFeed: [Fanora Control Terminal: A Fan-Shaped Smart-Home Control Panel with Jade and Aluminum]() Original publisher: [Read original article]() Author: JC Torres Published: 2026-09-15T09:15:23Z Content type: article Language: en Sources: [Yanko Design]() Topics: [Automation](), [Terminal]() Tags: [a-design-award-and-competition](), [automation](), [gadgets](), [gadgets-homes-interiors-technology-a-design-award-and-competition-smart-home](), [home-automation](), [homes](), [interface](), [interiors](), [lighting](), [motion-detection](), [screen](), [sensors](), [smart-home](), [technology]() ### AI overview The article presents Fanora, a wall-mounted smart-home control panel shaped like a partially opened folding fan. It describes eight mechanical buttons, an aluminum body, a natural Hetian jade centerpiece, motion and temperature sensors, and customizable button labels for lighting and other home-automation scenes. ### Source excerpt Smart Home Panels Look Like Tech, Fanora Looks Like Fine Craft A folding fan used to say something about the person holding it, signaling taste and refinement long before anyone cared about voice assistants or smart... ## Mintlify rebuilds automations around pre-built templates for common use cases DevFeed: [Mintlify rebuilds automations around pre-built templates for common use cases]() Original publisher: [Read original article]() Author: Patrick Foster Published: 2026-09-15T00:00:00Z Content type: article Language: en Sources: [Mintlify Blog]() Topics: [Automation](), [Documentation](), [changelog](), [Pull Request](), [Markdown](), [YAML]() Tags: [announcements](), [automation](), [changelog](), [docs](), [documentation](), [execution](), [markdown](), [prompt](), [quality](), [rest]() ### AI overview Mintlify rebuilt its automations around pre-built templates for common use cases, including syncing content with code changes, generating changelogs, and improving documentation from user feedback and support signals. Custom prompts remain available for specialized tasks. ### Source excerpt We redesigned automations for quicker setup with pre-built automations optimized for common use cases. Choose the right automations for your project and you're set. No context engineering required. ## Validating multi-agent decisions with Step Functions and Bedrock AgentCore DevFeed: [Validating multi-agent decisions with Step Functions and Bedrock AgentCore]() Original publisher: [Read original article]() Author: Ben Freiberg Published: 2026-09-14T16:47:23Z Content type: article Language: en Sources: [AWS Compute Blog]() Topics: [Amazon Bedrock AgentCore](), [AWS Step Functions](), [Artificial Intelligence](), [Generative AI](), [Automation]() Tags: [ai-agents](), [amazon-bedrock-agentcore](), [audit-trail](), [automation](), [aws-step-functions](), [generative-ai](), [regulatory](), [technical-how-to](), [workflow]() ### AI overview The article presents a pattern for validating multi-agent airline rebooking decisions. Amazon Bedrock AgentCore agents propose options, while AWS Step Functions applies deterministic validation, supports large-scale parallel processing, enables human review, and maintains an execution history for auditing. ### Source excerpt Orchestrating specialized Amazon Bedrock AgentCore agents with AWS Step Functions gives you the reasoning power of generative AI with the guardrails of deterministic validation. Agents propose options, and deterministic code validates them before any action is taken, demonstrated here with an airline rebooking workflow. ## Automate replenishment with MMF, Databricks Genie, and Amazon Quick DevFeed: [Automate replenishment with MMF, Databricks Genie, and Amazon Quick]() Original publisher: [Read original article]() Author: Venkatavaradhan Viswanathan Published: 2026-09-14T15:42:06Z Content type: article Language: en Sources: [Artificial Intelligence]() Topics: [databricks](), [Amazon S3 Tables](), [Amazon S3](), [Automation](), [foundation-models](), [API]() Tags: [advanced-300](), [amazon-quick-suite](), [amazon-s3](), [amazon-s3-tables](), [api](), [automation](), [databricks](), [foundation-models](), [machine-learning](), [retail](), [technical-how-to]() ### AI overview This technical walkthrough presents an unattended replenishment workflow for retail. Databricks Many Model Forecasting uses Chronos-2 to predict seven-day demand for each SKU, Databricks Genie detects demand surges, and Amazon Quick reconciles those surges with supplier availability in Amazon S3 Tables. The workflow places routine purchase orders through a Supplier Order API and escalates cases without a suitable single supplier for human review. ### Source excerpt Foundation models made catalog-wide demand forecasting easy; the hard part is now acting on the forecast. This post builds a closed detect-decide-act loop on Databricks and Amazon Quick that reconciles demand surges against live supplier availability and places replenishment orders unattended, escalating to a human only when no supplier can cover a surge. ## shot-scraper 1.12 DevFeed: [shot-scraper 1.12]() Original publisher: [Read original article]() Author: Simon Willison Published: 2026-09-13T23:58:14Z Content type: release Language: en Sources: [Simon Willison's Weblog]() Topics: [Automation](), [Playwright](), [Web]() Tags: [automation](), [playwright](), [playwright-15](), [release](), [screenshot](), [screenshots](), [shot-scraper](), [shot-scraper-71]() ### AI overview shot-scraper 1.12 adds WebP screenshot support, including a quality option and lossless output when quality is not specified. The article says WebP screenshots are usually significantly smaller than JPEG or PNG equivalents. ### Source excerpt Release: shot-scraper 1.12 I've added WebP support to my shot-scraper screenshot automation tool. You can now take a WebP screenshot of a web page like this: shot-scraper https://simonwillison.net -o screenshot.webp --quality 80 The --quality option sets the quality - without that option the WebP file will be lossless. In my experience WebP screenshots are almost always significantly smaller in file size than their JPEG or PNG equivalents. See the PR for some examples. I shipped this feature so I could use it to generate the screenshot for my new commit-rewriter tool. Tags: playwright, shot-scraper ## CrowdStrike Delivers the Next Evolution of the Agentic SOC DevFeed: [CrowdStrike Delivers the Next Evolution of the Agentic SOC]() Original publisher: [Read original article]() Author: Brandon Benke Published: 2026-09-12T11:17:51.295154Z Content type: article Language: en Sources: [Blog]() Topics: [Agentic SOC](), [SOC](), [Security](), [Artificial Intelligence](), [Automation](), [data](), [real-time](), [Reconnaissance](), [Cloud](), [Network]() Tags: [2026](), [agentic](), [agentic-soc](), [agents](), [ai](), [automation](), [cloud](), [data](), [identity](), [network](), [operations](), [platform](), [real-time](), [saas](), [security](), [soc]() ### AI overview CrowdStrike describes the next evolution of its agentic SOC, where analysts and AI agents work together in a unified system to investigate and respond to threats in real time. The Falcon platform combines data generation, enrichment, investigation, orchestration, and governance, with capabilities for detection-ready third-party data and coordinated specialist agents. ### Source excerpt Expert agents that reason together, learn your environment, and run on data CrowdStrike owns. See how we deliver the agentic SOC. Learn more! ## Unify your marketing data with Lakeflow Connect DevFeed: [Unify your marketing data with Lakeflow Connect]() Original publisher: [Read original article]() Author: Sonia Bendre; Giselle Goicochea Published: 2026-09-11T18:00:00Z Content type: article Language: en Sources: [Databricks]() Topics: [databricks](), [Software as a service](), [Databases](), [API](), [Automation](), [dashboards](), [hubspot](), [CI/CD]() Tags: [analytics](), [api](), [automation](), [churn](), [ci-cd](), [connectors](), [crm](), [customer](), [customers](), [dashboards](), [data](), [databases](), [databricks](), [engineering](), [marketing](), [product](), [retention](), [saas](), [salesforce](), [series]() ### AI overview This first post in a series presents Lakeflow Connect as a fully managed data-ingestion service for unifying fragmented marketing and Customer 360 data. It describes native connectors for SaaS applications, databases, and files, configured through a point-and-click UI or API, with governed tables in Unity Catalog and integrations such as HubSpot and Salesforce. The article highlights reduced maintenance compared with custom pipelines and support for downstream reporting, analytics, retention, and churn analysis. ### Source excerpt This is the first post in a new series exploring how Lakeflow Connect brings fully... ## Building an Agentic SOC on a Stream DevFeed: [Building an Agentic SOC on a Stream]() Original publisher: [Read original article]() Author: Pavel Lineitsev Published: 2026-09-10T19:19:05Z Content type: article Language: en Sources: [Confluent: Data in motion]() Topics: [Agentic SOC](), [SOC](), [Security](), [Streaming](), [Architecture & Design](), [Artificial Intelligence](), [Automation](), [data loss prevention]() Tags: [agent](), [agentic](), [agentic-soc](), [agents](), [ai](), [ai-agents](), [architecture](), [automation](), [confluent-cloud](), [data-loss-prevention](), [security](), [security-tools](), [soc](), [streaming]() ### AI overview This article describes an Agentic SOC that uses AI agents and a continuous streaming architecture to investigate security alerts. Its pipeline combines central triage, specialized evidence agents, adversarial evaluation, and a self-learning knowledge base to analyze every alert, escalate higher-value cases, and surface true positives for analyst review. The approach is intended to address the backlog of low-priority alerts, including Data Loss Prevention alerts, whose volume makes manual investigation impractical. ### Source excerpt Discover how our security team built an automated multi-agent investigation pipeline that scaled alert triage throughput using a continuous streaming architecture. ## Cypress Ambassador Spotlight: Maksym Donets DevFeed: [Cypress Ambassador Spotlight: Maksym Donets]() Original publisher: [Read original article]() Published: 2026-09-10T16:12:22Z Content type: article Language: en Sources: [Cypress Blog]() Topics: [Cypress](), [Testing](), [Cloud](), [Automation]() Tags: [ambassador](), [automation](), [bugs](), [cloud](), [community](), [cypress](), [debugging](), [learning](), [qa](), [testing]() ### AI overview An ambassador spotlight featuring Maksym Donets, an Automation QA Engineer who discusses learning, sharing, helping developers debug failed pipelines with Cypress Cloud, and using cy.session() with cy.request() to simplify session handling and speed up tests. He also shares advice for getting started with Cypress and mentions catching bugs with end-to-end testing. ### Source excerpt Welcome back to another edition of our Ambassador Spotlight series, where we shine a light on the Cypress community members who make testing better for everyone through the blogs they write, the talks they give, and the day-to-day help they offer to fellow developers. Curious about the program? You can learn more about it here. This time, we're catching up with Maksym Donets, an Automation QA Engineer with a straightforward philosophy on testing and an even more straightforward philosophy on li ## Build an end-to-end RFI questionnaire workflow using Amazon Quick Automate DevFeed: [Build an end-to-end RFI questionnaire workflow using Amazon Quick Automate]() Original publisher: [Read original article]() Author: Chaytanya Kumar Published: 2026-09-10T16:08:57Z Content type: tutorial Language: en Sources: [Artificial Intelligence]() Topics: [Automation](), [Amazon S3](), [CSV](), [Amazon Web Services](), [datasets]() Tags: [advanced-300](), [amazon-quick-suite](), [amazon-s3](), [amazon-simple-storage-service-s3](), [automation](), [aws](), [data](), [how-to](), [technical-how-to](), [tutorial]() ### AI overview A tutorial for automating RFI questionnaire processing with Amazon Quick Automate. It reads multi-tab workbooks from Amazon S3, extracts and structures questions, and writes CSV output to Amazon S3. ### Source excerpt Learn how to build an end-to-end RFI questionnaire workflow with Amazon Quick Automate. Read a multi-tab RFI workbook from Amazon S3, use natural-language prompts to extract and structure the questionnaire data, refine the workflow through conversation, and write clean CSV output back to Amazon S3 -- cutting development from days to hours. ## Document360 Releases Real-Time Collaborative Editing and API v3 DevFeed: [Document360 Releases Real-Time Collaborative Editing and API v3]() Original publisher: [Read original article]() Author: Darshan Sureshkumar Published: 2026-09-10T12:17:41Z Content type: release Language: en Sources: [Knowledge Management Tips, Best Practices and More]() Topics: [API](), [REST API](), [Authorization](), [Documentation](), [Automation]() Tags: [api](), [authorization](), [automation](), [product-update](), [release](), [rest-api]() ### AI overview Document360 announces real-time collaborative editing in its Advanced WYSIWYG editor and a ground-up rebuild of its public REST API as API v3. The release also includes permission-aware authorization, expanded automation coverage, publishing workflow changes, labels, reader-group controls for Eddy AI features, unified navigation, and improved offline exports. ### Source excerpt Documentation is a team effort, but most authoring tools still treat writing as ... The post No Locks, No Limits: Collaborative Editing and API v3 Are Here appeared first on Document360. ## Visual Studio Code 1.137 DevFeed: [Visual Studio Code 1.137]() Original publisher: [Read original article]() Author: Visual Studio Code Team Published: 2026-09-09T17:00:00Z Content type: release Language: en Sources: [Visual Studio Code - Code Editing. Redefined.]() Topics: [vs-code](), [Automation](), [GitHub](), [GitHub Issues](), [Pull Request](), [GitHub Copilot]() Tags: [2026](), [article](), [automation](), [experimental](), [github](), [github-issues](), [pull-request](), [release](), [updates](), [visual-studio](), [voice](), [vs-code]() ### AI overview Visual Studio Code 1.137 introduces scheduled automations, experimental voice interaction with agents, workspace-attached quick chats, and GitHub issues and pull request details in the Agents window. ### Source excerpt Learn what's new in Visual Studio Code 1.137 Read the full article ## HPE Alletra Storage MP B10000 10.6.0 Arrives With Six-Node Scale-Out and Agentic Support Automation DevFeed: [HPE Alletra Storage MP B10000 10.6.0 Arrives With Six-Node Scale-Out and Agentic Support Automation]() Original publisher: [Read original article]() Author: Harold Fritts Published: 2026-09-09T16:17:13Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [releases](), [Software](), [Automation](), [ransomware](), [real-time](), [data]() Tags: [agentic](), [architecture](), [automation](), [data](), [energy](), [enterprise](), [enterprise-storage](), [hpe](), [performance](), [products](), [ransomware](), [real-time](), [release](), [scale](), [software](), [storage](), [update]() ### AI overview HPE has generally released version 10.6.0, also called Release 6, for the Alletra Storage MP B10000. The update expands disaggregated block-and-file storage from four to six controller nodes, adds agent-based support automation and built-in real-time ransomware detection, and increases the StoreMore Guarantee to a 5:1 effective capacity ratio. ### Source excerpt HPE has made the 10.6.0 software release for the Alletra Storage MP B10000 generally available, landing inside the Q3 2026 window the company set when it previewed the release in May. HPE is also calling it Release 6 in its channel materials. The update takes the B10000's disaggregated block-and-file architecture from four controller nodes to The post HPE Alletra Storage MP B10000 10.6.0 Arrives With Six-Node Scale-Out and Agentic Support Automation appeared first on StorageReview.com. ## 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. ## Honoring #IconsOfQuality: Richard Bradshaw DevFeed: [Honoring #IconsOfQuality: Richard Bradshaw]() Original publisher: [Read original article]() Author: Rajrupa Roychowdhury Published: 2026-09-09T11:44:44Z Content type: article Language: en Sources: [BrowserStack Blog]() Topics: [Testing](), [Software Testing](), [Software Engineering](), [Artificial Intelligence](), [Automation]() Tags: [ai](), [ai-agents](), [automation](), [engineering](), [evals](), [icons-of-quality](), [qa](), [quality-engineering](), [software-engineering](), [software-testing](), [telemetry](), [testing]() ### AI overview BrowserStack profiles Richard Bradshaw, a software testing and quality engineering leader, and discusses his views on AI agents, human-centric automation, and evaluating probabilistic AI systems. ### Source excerpt To celebrate the relentless passion and invaluable contributions of leaders in software quality, BrowserStack is proud to honour Icons of Quality. ## A Multi-Module Android Template with Kotlin Convention Plugins, Lint Rules, and Design System Tokens DevFeed: [A Multi-Module Android Template with Kotlin Convention Plugins, Lint Rules, and Design System Tokens]() Original publisher: [Read original article]() Author: Shamil Gulmetov Published: 2026-09-09T01:34:18Z Content type: tutorial Language: en Sources: [ProAndroidDev - Medium]() Topics: [Template](), [Android](), [Architecture & Design](), [Kotlin](), [Gradle](), [Jetpack Compose](), [Dependency injection](), [Automation](), [Refactoring](), [now-in-android]() Tags: [android](), [android-app-development](), [android-architecture](), [android-studio](), [architecture](), [automation](), [best-practices](), [build](), [compose](), [dependency-injection](), [gradle](), [how-to](), [jetpack-compose](), [kotlin](), [now-in-android](), [refactoring]() ### AI overview This tutorial presents an Android Architecture Template based on patterns from Google's Now in Android repository. It describes a multi-module structure with Gradle Version Catalogs, Kotlin Convention Plugins, Jetpack Compose design tokens and dark-theme support, dependency injection, custom Lint rules, and a terminal-based renaming tool. ### Source excerpt How to streamline your development workflow with pre-configured Kotlin Convention Plugins, custom Lint rules, and unified design system tokens. Creating a new Android application from scratch in modern engineering is rarely as simple as clicking File -> New -> New Project in Android Studio. Before writing a single line of business logic, developers face hours -- or even days -- of repetitive infrastructure setup: Configuring a scalable multi-module architecture. Setting up Gradle Version Catalogs and writing custom Kotlin Convention Plugins to eliminate build script duplication. Standardizing design tokens and dark theme support in Jetpack Compose. Wiring up Hilt Dependency Injection for Coroutine Dispatchers, network, and Application Scopes. Enforcing architectural boundaries and team coding standards using custom static analysis (Lint) rules. Google's official Now in Android (NiA) repository is the recognized gold standard for modern Android engineering. However, because NiA is a full-featured showcase app with domain logic (news feeds, authors, bookmarks, offline sync), using it as a starter kit is cumbersome: developers must strip out existing features while risking breaking build pipelines. This Android Architecture Template bridges that gap: a clean, production-ready starter kit that extracts NiA's best architectural patterns into an isolated foundation. To make it enterprise-ready with zero room for error, it includes a standalone automation tool. Instead of manual refactoring, run a single terminal command to rename and brand the entire architecture in seconds. Acknowledgments & Credits Core architectural decisions, build-logic convention plugins, and static analysis infrastructure in this template are directly inspired by Google's official Now in Android (NiA) repository. Rather than reinventing the wheel, this template focuses on developer ergonomics--making Google's best practices instantly usable out of the box. 1. Modular Project Architecture The repository [Next page]()