# Management Tools Published articles for Management Tools. 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 edge platforms: Choosing the right one for your use case DevFeed: [Red Hat edge platforms: Choosing the right one for your use case]() Original publisher: [Read original article]() Author: Daniel Froehlich Published: 2026-09-11T13:01:48Z Content type: article Language: en Sources: [Red Hat](), [Red Hat Developer]() Topics: [Edge](), [Containers](), [Kubernetes](), [Architecture & Design](), [Hardware](), [Availability](), [Microservice]() Tags: [containers](), [deployment](), [edge](), [edge-computing](), [hardware](), [high-availability](), [kubernetes](), [management-tools](), [microservices](), [red-hat](), [virtual-machines]() ### AI overview This article introduces a series about choosing Red Hat edge platforms for specific deployment needs. It compares Red Hat Enterprise Linux and Red Hat OpenShift across workload types, platform sizes, hardware requirements, Kubernetes use cases, availability, storage, and management needs. ### Source excerpt Choosing the right platform for an edge deployment is one of the most consequential decisions an organization makes--and one of the most confusing. The options range from a single-board computer running a handful of containers to a full Kubernetes cluster with high availability, software-defined storage, and centralized management. Pick too small, and you hit a wall when requirements grow. The post Red Hat edge platforms: Choosing the right one for your use case appeared first on Red Hat Developer. ## Hands-on with Raspberry Pi's CM5 Programming Jig DevFeed: [Hands-on with Raspberry Pi's CM5 Programming Jig]() Original publisher: [Read original article]() Author: jeff@jeffgeerling.com (Jeff Geerling) Published: 2026-08-19T07:13:00Z Content type: article Language: en Sources: [Jeff Geerling]() Topics: [Provisioning](), [Programming](), [Open Source](), [Python]() Tags: [cm5](), [compute-module](), [demo](), [flash](), [images](), [management-tools](), [open-source](), [programming-jig](), [python](), [raspberry-pi](), [raspberry-pi-os](), [testing](), [tools](), [video](), [youtube]() ### AI overview Hands-on evaluation of Raspberry Pi's CM5 Programming Jig for provisioning and flashing Raspberry Pi OS onto multiple Compute Modules. The article covers its workflow, setup, web interface, imaging tools, pricing, and comparison with Everypin's CM5 Flash Jig. ### Source excerpt In the before-times, when Raspberry Pi CM5s were (relatively) affordable, I built a number of Pi clusters (example), and one of the most annoying parts of the build was flashing Raspberry Pi OS to all the Pis. One, two, or even three Pis isn't a big deal, but once you hit 4+, the process of plugging the Compute Module into a carrier board, plugging that into a computer, managing Raspberry Pi Imager, and trying to match up details like a hostname, MAC address, and the physical Pi itself, gets annoying. ## Accelerate your infrastructure deployments by up to 4x with AWS CloudFormation Express mode DevFeed: [Accelerate your infrastructure deployments by up to 4x with AWS CloudFormation Express mode]() Original publisher: [Read original article]() Author: Channy Yun (윤석찬) Published: 2026-06-30T21:30:33Z Content type: article Language: en Sources: [AWS News Blog]() Topics: [AWS CloudFormation](), [Deployment](), [Amazon Web Services](), [Infrastructure as code](), [Command-line interface](), [AWS Management Console](), [Resilience](), [SDKs](), [Amazon Simple Queue Service (SQS)](), [AWS Lambda](), [Kiro]() Tags: [accelerate](), [agents](), [ai-tools](), [amazon-simple-queue-service-sqs](), [aws](), [aws-cloudformation](), [aws-lambda](), [aws-management-console](), [cli](), [cloudformation](), [deployment](), [developers](), [infrastructure](), [kiro](), [launch](), [management-tools](), [news](), [resilience](), [sdks](), [testing]() ### AI overview AWS CloudFormation Express mode accelerates infrastructure deployments by completing when resource configuration is applied instead of waiting for extended stabilization checks. The article describes use in iterative development, production scenarios, testing, and AI-assisted infrastructure workflows, with examples involving SQS and Lambda. ### Source excerpt AWS CloudFormation speeds up infrastructure deployment with Express mode, enabling AI agents and developers to receive deployment confirmation in seconds and iterate faster. Available in all commercial Regions at no additional cost. ## How to make the case for giving your AI Agent system access DevFeed: [How to make the case for giving your AI Agent system access]() Original publisher: [Read original article]() Author: Dawn Perrott Published: 2026-06-11T12:04:14Z Content type: tutorial Language: en Sources: [The Intercom Blog]() Topics: [AI Agent](), [Back end](), [knowledge-management](), [AI Platforms/Deployment]() Tags: [2026](), [agent](), [ai-agent](), [ai-agent-blueprint](), [ai-automation](), [backend](), [customer-service](), [deployment](), [how-to](), [integration](), [knowledge-management](), [management-tools]() ### AI overview The article explains why AI Agents need access to backend systems to move from answering customer questions to completing actions. It argues that connecting support agents to CRM, billing, and order-management systems can enable end-to-end resolution, and describes how Intercom's Procedures with system access handled complex workflows better than fixed, scripted Tasks in some cases. ### Source excerpt Without access to your backend systems, your AI Agent can answer questions, but it can't take action. A customer asks to change their payment plan, they get a clear explanation, but a support rep still has... ## Why clear success criteria are critical when evaluating incident management tools DevFeed: [Why clear success criteria are critical when evaluating incident management tools]() Original publisher: [Read original article]() Author: Tom Wentworth Published: 2025-04-02T14:44:00Z Content type: tutorial Language: en Sources: [The incident.io Blog]() Topics: [incident management](), [Incident response](), [Tooling]() Tags: [azure](), [best-practices](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [management-tools](), [migration](), [outage](), [post-mortem](), [slack](), [slack-incident](), [tools]() ### AI overview This article presents a practical framework for evaluating incident management tools. It argues that teams should define clear success criteria and metrics before comparing features, then audit current incident workflows, roles, routing, integrations, and operational needs before selecting or migrating to a new platform. ### Source excerpt Choosing incident tooling without clear success criteria is a recipe for regret. Here's a practical framework for defining, prioritizing, and evaluating criteria to ensure your next incident management tool actually fits your team's real-world needs. ## Incident management really can be for everyone DevFeed: [Incident management really can be for everyone]() Original publisher: [Read original article]() Author: incident.io Published: 2023-11-14T14:29:01Z Content type: opinion Language: en Sources: [The incident.io Blog]() Topics: [incident management](), [incident](), [data](), [Server]() Tags: [breach](), [compliance](), [data-breaches](), [developers](), [engineering](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [management-tools](), [outage](), [post-mortem](), [slack-incident](), [tools]() ### AI overview The article argues that incident management should be accessible across an organization, not reserved for engineers responding to technical failures. It highlights participation by teams such as Customer Support, Risk, and Compliance, and presents contract breaches and potential information leaks as situations that require coordinated response, assigned roles, and follow-up actions. ### Source excerpt It's time to move past the idea that incident management tools can only be used to respond to incidents--and only by engineering teams. ## Your non-technical teams should be using incident management tools, too DevFeed: [Your non-technical teams should be using incident management tools, too]() Original publisher: [Read original article]() Author: Stephen Whitworth Published: 2023-02-08T00:00:00Z Content type: opinion Language: en Sources: [The incident.io Blog]() Topics: [incident management](), [incident](), [Incident response](), [data]() Tags: [data-breaches](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [management](), [management-tools](), [outage](), [post-mortem](), [slack-incident]() ### AI overview The article argues that non-technical teams should use incident management tools and incident response practices. It explains that serious issues outside engineering, such as threatened disclosure of confidential information, can be treated as incidents requiring coordinated response, investigation, and preventive follow-up. ### Source excerpt Should your non-technical teams be declaring incidents like your engineering team? Absolutely. Here's why.