# monitor Published articles for monitor. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## From alert to resolution: Manage incidents with Bits Chat in Slack DevFeed: [From alert to resolution: Manage incidents with Bits Chat in Slack]() Original publisher: [Read original article]() Author: Nancy Zhu; Evan Marcantonio; Nicole Parisi; Chris Miller Published: 2026-09-16T00:00:00Z Content type: tutorial Language: en Sources: [Datadog | The Monitor blog]() Topics: [incident](), [Slack](), [Artificial Intelligence](), [telemetry](), [Code](), [Pull Request]() Tags: [ai](), [also](), [bits-ai](), [code](), [collaboration](), [ecommerce](), [incident](), [monitor](), [root-cause-analysis](), [slack](), [telemetry]() ### AI overview This tutorial explains how Bits Chat in Slack can support incident response by investigating alerts, analyzing telemetry, coordinating responders, generating a pull request for a fix, and tracking follow-up work within the incident channel. ### Source excerpt Use Bits Chat in Slack to investigate incidents, collaborate with responders, make code fixes, and capture follow-up work where your team communicates. ## HKC reveals an ultra-wide curved monitor with split-screen modes for multitasking and gaming DevFeed: [HKC reveals an ultra-wide curved monitor with split-screen modes for multitasking and gaming]() Original publisher: [Read original article]() Author: Gaurav Sood Published: 2026-09-15T15:20:17Z Content type: news Language: en Sources: [Yanko Design]() Topics: [monitor](), [cpu](), [dell]() Tags: [4k](), [accessories](), [accessories-technology-curved-monitors](), [curved](), [display](), [kvm](), [monitor](), [monitors](), [multitasking](), [port](), [technology](), [ultra-wide](), [usb]() ### AI overview HKC has revealed the Tianqi 43H180C ultra-wide curved monitor, featuring a 24:9 aspect ratio, 5,760 x 2,160 resolution, and a 180 Hz refresh rate. It can operate as one large display, split into two zones, or divided into three zones. ### Source excerpt HKC debuts a 48.3-inch 4K curved monitor that splits into two or three sections for power users There are no limits as to how wide you can go with a desktop monitor, especially for power users and pro gamers. You can have... ## Give every teammate and agent the right level of access to your Workers DevFeed: [Give every teammate and agent the right level of access to your Workers]() Original publisher: [Read original article]() Author: Visal In Published: 2026-09-15T13:00:00Z Content type: release Language: en Sources: [Cloudflare Blog]() Topics: [Workers](), [Authorization](), [Developer Platform](), [debug]() Tags: [agent](), [api](), [cloudflare](), [debug](), [developer](), [developer-platform](), [developers](), [identity](), [least-privilege](), [logs](), [metrics](), [monitor](), [product-news](), [scope](), [security](), [traces](), [workers](), [workflows]() ### AI overview Cloudflare now lets teams scope access to individual Workers and assign narrower Developer Platform roles. Teammates, CI tokens, and agents can receive only the permissions needed to debug, deploy, or monitor safely. ### Source excerpt You can now scope access to individual Workers and assign narrower Developer Platform roles, so teammates, CI tokens, and agents get only the access they need to debug, deploy, or monitor safely. ## Manage Cursor costs with Datadog Cloud Cost Management DevFeed: [Manage Cursor costs with Datadog Cloud Cost Management]() Original publisher: [Read original article]() Author: Dom Nguyen; Doug Gunter Published: 2026-09-15T00:00:00Z Content type: tutorial Language: en Sources: [Datadog | The Monitor blog]() Topics: [cloud cost management](), [cursor](), [finops](), [ai-coding]() Tags: [ai](), [ai-coding](), [analysis](), [cloud-cost-management](), [configuration](), [datadog](), [features](), [filter](), [finops](), [monitor](), [monitors](), [product](), [software]() ### AI overview This tutorial explains how Datadog Cloud Cost Management helps teams analyze Cursor spending by user, model, usage mode, and billing group. It covers identifying cost drivers, detecting unexpected changes, correlating spend with usage, and using monitors, budgets, and dashboards to manage AI coding costs alongside cloud and SaaS spending. ### Source excerpt Analyze Cursor spend by user and model, catch unexpected cost changes, and manage AI coding costs alongside your cloud and SaaS spend. ## Perplexity trusts GPT-6 Astra with end-to-end systems DevFeed: [Perplexity trusts GPT-6 Astra with end-to-end systems]() Original publisher: [Read original article]() Published: 2026-09-12T11:14:21.124044Z Content type: article Language: en Sources: [OpenAI News]() Topics: [AI-assisted coding](), [Language models]() Tags: [api](), [code](), [gpt](), [monitor](), [production](), [search](), [systems](), [testing](), [workflow]() ### AI overview Perplexity describes using GPT-6 Astra to write code and communications, modify and monitor production software, and create end-to-end tests with simulated service responses. ### Source excerpt Perplexity uses Astra to write communications, change software, and monitor production systems, and checks in much less frequently than with earlier models. ## Redefining Digital Resilience in the AI Era DevFeed: [Redefining Digital Resilience in the AI Era]() Original publisher: [Read original article]() Author: Kamal Hathi Published: 2026-09-10T17:00:15Z Content type: news Language: en Sources: [Cisco Blogs]() Topics: [Resilience](), [Artificial Intelligence](), [data](), [Architecture & Design](), [Security](), [SOC](), [monitor]() Tags: [agentic-ai-security](), [agentic-ops](), [agentic-security](), [ai](), [ai-agents](), [autonomous](), [cost](), [digital-resilience](), [executive-platform](), [governance](), [monitor](), [observability](), [resilience](), [scale](), [security](), [soc](), [speed](), [workflows]() ### AI overview Splunk is evolving its data platform for the AI era, focusing on digital resilience, trusted autonomous agents, machine-speed security operations, and economically governed AI workflows. ### Source excerpt Splunk is evolving for the AI era - removing constraints to help customers achieve digital resilience and leverage AI with speed, scale and trust. ## KDE Plasma 6.8 Beta Released With Many Great Improvements, Kup Backup Scheduler DevFeed: [KDE Plasma 6.8 Beta Released With Many Great Improvements, Kup Backup Scheduler]() Original publisher: [Read original article]() Author: Michael Larabel Published: 2026-09-10T16:39:24Z Content type: release Language: en Sources: [Phoronix]() Topics: [Wayland](), [Multi-GPU](), [GPU](), [monitor]() Tags: [backup](), [desktop](), [desktop-linux](), [gpu](), [linux-benchmarking](), [linux-hardware-benchmarks](), [linux-hardware-reviews](), [linux-how-to](), [linux-performance](), [linux-server-benchmarks](), [monitor](), [multi-gpu](), [open-source-graphics](), [phoronix](), [phoronix-test-suite](), [release](), [remote](), [server](), [tool](), [ubuntu-benchmarks](), [ubuntu-hardware]() ### AI overview KDE Plasma 6.8 Beta introduces improvements to Wayland support, vRAM usage, remote desktops, multi-GPU and multi-monitor handling, theming, and other desktop functionality. It also includes Kup as the Plasma desktop backup scheduler. ### Source excerpt Ahead of the stable release of Plasma 6.8 due out on 14 October that also marks the 30th anniversary of the KDE project, out today is the much anticipated beta release... ## Troubleshoot Kafka issues across every layer of your stack with Kafka Console DevFeed: [Troubleshoot Kafka issues across every layer of your stack with Kafka Console]() Original publisher: [Read original article]() Author: Tori Engler; Shelly Matskel Published: 2026-09-10T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [Kafka](), [configuration]() Tags: [apache](), [data-streams-monitoring](), [debugging](), [event-streaming](), [infrastructure](), [kafka](), [monitor](), [performance](), [root-cause-analysis]() ### AI overview An overview of Datadog Kafka Console for diagnosing Kafka health and performance issues, inspecting messages, and tuning configurations. ### Source excerpt Learn how Kafka Console helps you identify Kafka issues, inspect messages, and tune configurations with infrastructure and app context. ## A practical approach to end-to-end Solvency II reporting in Databricks DevFeed: [A practical approach to end-to-end Solvency II reporting in Databricks]() Original publisher: [Read original article]() Author: Laurence Ryszka; Jack Yallop Published: 2026-09-09T16:20:00Z Content type: article Language: en Sources: [Databricks]() Topics: [databricks](), [DataOps](), [Orchestration](), [data](), [systems]() Tags: [business](), [data](), [databricks](), [eu](), [financial](), [financial-services](), [governance](), [industries](), [monitor](), [orchestration](), [platform](), [regulatory](), [solutions](), [uk](), [workflow]() ### AI overview The article presents Databricks as a governed data, orchestration, and reporting layer for end-to-end Solvency II reporting. It covers ingestion, data quality, actuarial reserving, capital calculation, QRT production, ORSA drafting, governance, approvals, and disclosure while allowing insurers to retain established actuarial and capital modeling systems. ### Source excerpt Solvency II reporting is not only a regulatory submission. It is a business process... ## DIY ESP32-P4 weather station & air quality monitor connects to LoRa and ESP-NOW sensors, various weather APIs DevFeed: [DIY ESP32-P4 weather station & air quality monitor connects to LoRa and ESP-NOW sensors, various weather APIs]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-03T04:55:46Z Content type: article Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [ESP32-P4](), [ESP32](), [ESP-NOW](), [lora](), [Hardware](), [monitor](), [Embedded Systems](), [dashboards]() Tags: [arduino](), [ble](), [c-c-plus-plus](), [display](), [diy](), [esp-now](), [esp32](), [esp32-p4](), [espressif](), [hardware](), [iot](), [lora](), [monitor](), [sensors](), [touchscreen](), [waveshare](), [wifi](), [wifi-6](), [wireless]() ### AI overview This article describes an ESP32-P4 weather station and air quality monitor built from off-the-shelf boards. It uses a 10.1-inch dashboard, a Sensirion SEN66 multisensor, and LoRa and ESP-NOW sensor nodes, with optional weather data from several APIs and no required cloud account. ### Source excerpt Harald Kreuzer has built an ESP32-P4 weather station and air quality monitor that features a 10.1-inch dashboard display and a built-in Sensirion SEN66 sensor for particulate matter, CO2, VOC, and NOX, and connects to wireless LoRa and ESP-NOW sensors. The project is entirely made of off-the-shelf boards, so no custom hardware is used, and it should be relatively easy to reproduce. It doesn't require any cloud or user account, although it can connect to a choice of weather APIs (Open-Meteo, OpenWeatherMap or Visual Crossing) to display weather forecasts. The build is fully documented in a long blog post, so we'll highlight the key features of the project in this article. Hardware specifications for the main unit: Based on ESP32-P4-Module-DEV-KIT-C Credit card-sized ESP32-P4-Module-DEV-KIT SBC based on an ESP32-P4NRW32 module with ESP32-P4 with 32MB PSRAM and ESP32-C6 for WiFi and BLE 10.1-inch IPS panel with 1280 x 800 resolution, 800:1 contrast ratio, [...] The post DIY ESP32-P4 weather station & air quality monitor connects to LoRa and ESP-NOW sensors, various weather APIs appeared first on CNX Software - Embedded Systems News. ## Monitor prompt caching to optimize your token usage DevFeed: [Monitor prompt caching to optimize your token usage]() Original publisher: [Read original article]() Author: Thomas Sobolik Published: 2026-09-02T00:00:00Z Content type: tutorial Language: en Sources: [Datadog | The Monitor blog]() Topics: [Caching](), [Large Language Model](), [Latency](), [Traces](), [SIEM, Security, Observability](), [anthropic]() Tags: [agent-observability](), [agents](), [ai](), [ai-engineering](), [ai-observability](), [anthropic](), [caching](), [cost](), [how-to](), [latency](), [llm](), [models](), [monitor](), [openai](), [traces]() ### AI overview A tutorial on prompt caching for LLM and agent workloads, covering cache behavior, provider differences, and monitoring token use and latency. ### Source excerpt Learn how to use prompt caching effectively and monitor your models and agents to troubleshoot cache invalidations. ## Implementing the Anthropic AI-Native SDLC Playbook: How to get it right DevFeed: [Implementing the Anthropic AI-Native SDLC Playbook: How to get it right]() Original publisher: [Read original article]() Author: Yonatan Boguslavski Published: 2026-08-28T16:15:46Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [anthropic](), [sdlc](), [Platform Engineering](), [Agent Harness](), [Artificial Intelligence](), [AI-assisted coding]() Tags: [agentic](), [ai](), [anthropic](), [monitor](), [platform](), [platform-engineering](), [sdlc](), [tooling]() ### AI overview The article explains how to implement Anthropic's AI-native SDLC playbook at organizational scale. It describes agents contributing across the software lifecycle, producing artifacts from intent and specifications through plans, pull requests, and production, with governance, human judgment, orchestration, and monitoring built into a platform foundation. ### Source excerpt Implement Anthropic's AI-native SDLC playbook. Learn the key requirements and foundation needed to run agentic SDLC at scale. ## One App, More Than One Native Window DevFeed: [One App, More Than One Native Window]() Original publisher: [Read original article]() Author: Shai Almog Published: 2026-08-28T00:00:00Z Content type: article Language: en Sources: [CodeName One]() Topics: [App](), [Windows](), [Linux](), [Java]() Tags: [app](), [capture](), [desktop](), [linux](), [monitor](), [native](), [screen](), [state](), [windows]() ### AI overview Codename One now supports multiple native desktop windows, each with its own component tree, focus owner, animation list, repaint region, native peers, and text editing. The main Form remains the application's primary surface, preserving existing mobile and single-window behavior. ### Source excerpt Codename One now supports multiple native desktop windows with independent component trees, paint surfaces, focus, modality, monitor geometry, and input routing while Form remains the application's main surface. ## Introducing the Admin plugin for ChatGPT Work and Codex DevFeed: [Introducing the Admin plugin for ChatGPT Work and Codex]() Original publisher: [Read original article]() Published: 2026-08-25T00:00:00Z Content type: release Language: en Sources: [OpenAI News]() Topics: [ChatGPT](), [codex](), [Authorization](), [Monitoring](), [Slack]() Tags: [ai-adoption](), [analytics](), [chatgpt](), [codex](), [enablement](), [microsoft-teams](), [monitor](), [monitoring](), [onboarding](), [reduce](), [slack](), [tools](), [update](), [work](), [workflow]() ### AI overview OpenAI introduces an Admin plugin for ChatGPT Work and Codex that lets administrators analyze workspace usage, manage members and permissions, adjust limits, and handle requests in one conversation. It also supports recurring checks and workflows that route approvals to Slack or Microsoft Teams while keeping changes within existing roles and permissions. ### Source excerpt Use the Admin plugin for ChatGPT Work and Codex to analyze workspace usage, manage members and permissions, adjust limits, and act on admin requests. ## Monitor Azure Functions across every hosting plan with Datadog DevFeed: [Monitor Azure Functions across every hosting plan with Datadog]() Original publisher: [Read original article]() Author: Duncan Harvey; Kathie Huang; Piyali Banerjee Published: 2026-08-24T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [Azure](), [serverless monitoring](), [Serverless](), [telemetry](), [tracing](), [Traces](), [Application Performance Management (APM)](), [cpu](), [Node.js](), [Python](), [.NET]() Tags: [apm](), [azure](), [azure-functions](), [cpu](), [digital-experience-monitoring](), [metrics](), [monitor](), [monitoring](), [net](), [node-js](), [observability](), [performance](), [python](), [serverless](), [serverless-monitoring](), [telemetry](), [traces](), [tracing]() ### AI overview Datadog Serverless Monitoring expands observability for Azure Functions across Linux and Windows hosting plans, with telemetry collection, distributed tracing, enhanced CPU metrics, and continuous profiling. ### Source excerpt Trace requests, get enhanced CPU metrics, and profile code across Azure Functions hosting plans with Datadog Serverless Monitoring. ## The prompts only the Postman AI Engineer can answer DevFeed: [The prompts only the Postman AI Engineer can answer]() Original publisher: [Read original article]() Author: Talia Kohan Published: 2026-08-20T16:00:00Z Content type: article Language: en Sources: [Postman Blog]() Topics: [Claude](), [Postman](), [Graphs](), [API](), [OpenAPI Specification](), [monitor](), [React]() Tags: [ai](), [ai-agents](), [api](), [apis](), [general](), [monitor](), [openapi](), [postman-ai-engineer](), [react]() ### AI overview This Postman Blog article presents the Postman AI Engineer as a natural-language interface over the Postman Context Graph. It describes prompts that trace identifiers across APIs, collections, runtime monitor results, repositories, and React dashboards, as well as prompts that expose specification-versus-code drift and three-way discrepancies involving live server responses. ### Source excerpt The Postman AI Engineer prompts that trace an ID across your APIs, catch three-way drift, and auto-write a PR review from the graph. The post The prompts only the Postman AI Engineer can answer appeared first on Postman Blog. ## 7 lessons for IT leaders on using observability to monitor AI applications DevFeed: [7 lessons for IT leaders on using observability to monitor AI applications]() Original publisher: [Read original article]() Author: Brad Quarry Published: 2026-08-19T00:00:00Z Content type: article Language: en Sources: [Elastic Blog - Elasticsearch, Kibana, and ELK Stack]() Topics: [ai observability](), [telemetry](), [Language models](), [AI, ML & Data Engineering]() Tags: [ai](), [applications](), [business](), [events](), [generative-ai](), [instrumentation](), [large-language-models](), [llm](), [monitor](), [observability](), [telemetry]() ### AI overview An Elastic IT case study argues that LLM observability should be included in AI application MVPs so teams can measure usage, time savings, and return on investment from the start. ### Source excerpt Discover the seven lessons we learned as we evolve our LLM observability practice to monitor and improve our AI applications. ## powa-archivist 5.3.0 is out! DevFeed: [powa-archivist 5.3.0 is out!]() Original publisher: [Read original article]() Published: 2026-08-17T00:00:00Z Content type: release Language: en Sources: [PostgreSQL news]() Topics: [PostgreSQL](), [releases](), [benchmarking](), [monitor](), [Graphs](), [real-time](), [GitHub]() Tags: [bugs](), [changelog](), [contributors](), [documentation](), [github](), [graphs](), [metrics](), [monitor](), [performance](), [postgresql](), [real-time](), [release](), [releases]() ### AI overview The PoWA team announces powa-archivist 5.3.0, a PostgreSQL Workload Analyzer extension that collects and aggregates metrics from multiple PostgreSQL instances, provides real-time charts and graphs for monitoring and tuning servers, and suggests index optimizations. The release also includes a fix for PostgreSQL 19 compatibility. ### Source excerpt Tainan, Taiwan - Sun 16 Aug 2026 powa-archivist 5.3.0 The PoWA team is pleased to announce the release of the version 5.3.0 of powa-archivist, the core extension of the PoWA project. PoWA (PostgreSQL Workload Analyzer) is a performance tool, compatible with all supported PostgreSQL versions. It allows to collect and aggregate metrics gathered from multiple PostgreSQL instances using various extensions covering all parts of PostgreSQL and provides real-time charts and graphs to help monitor and tune your servers. It also suggest optimizations, like global or per-query index suggestions, to easily improve performances. Misc Fix pg19 compatibility with pg19beta2 pg_stat_lock.wait_time datatype change (Julien Rouhaud) Links & Credits Thank to the users who reported bugs or submitted patches, they are all cited in the CHANGELOG file and the CONTRIBUTORS file. powa-archivist is an open project. Any contribution to build a better tool is welcome. You just have to send your ideas, features requests or patches using the github repository at github.com/powa-team/powa-archivist. Links Documentation: powa.readthedocs.io/ Download: github.com/powa-team/powa-archivist/releases Bug tracker: github.com/powa-team/powa-archivist/issues ## Collecting CPU and memory metrics for AWS Lambda MicroVMs DevFeed: [Collecting CPU and memory metrics for AWS Lambda MicroVMs]() Original publisher: [Read original article]() Author: Eric Heinz Published: 2026-08-14T11:11:55Z Content type: tutorial Language: en Sources: [AWS Compute Blog]() Topics: [telemetry](), [Processes]() Tags: [advanced-300](), [agent](), [amazon-cloudwatch](), [aws](), [aws-lambda](), [cpu](), [health](), [how-to](), [json](), [latency](), [memory](), [metrics](), [monitor](), [monitoring](), [observability](), [opentelemetry](), [os](), [process](), [production](), [startup](), [technical-how-to]() ### AI overview A tutorial on collecting CPU and memory metrics from AWS Lambda MicroVMs with the Amazon CloudWatch Agent. It explains configuring Telegraf and OpenTelemetry Collector files to emit metrics with a custom dimension from an environment variable. ### Source excerpt Learn how to collect CPU and memory metrics from AWS Lambda MicroVMs using the CloudWatch Agent. Configure telegraf and OTel to monitor and right-size your workloads. ## AI SRE: Cut MTTR in Half with Autonomous Incident Resolution DevFeed: [AI SRE: Cut MTTR in Half with Autonomous Incident Resolution]() Original publisher: [Read original article]() Author: Matar Peles Published: 2026-08-10T11:34:38Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [site-reliability-engineering](), [incident](), [Artificial Intelligence](), [monitor](), [dashboards](), [Traces](), [archive search](), [Pull Request](), [codex](), [cursor]() Tags: [agent](), [ai](), [codex](), [cursor](), [dashboards](), [datadog](), [incident](), [monitor](), [monitoring](), [on-call](), [sre](), [traces](), [workflow]() ### AI overview This developer article describes an autonomous incident-resolution workflow built in Port. It argues that incident response time is largely spent reconstructing context from alerts, logs, dashboards, traces, ownership data, recent changes, and runbooks. The proposed agent-based workflow aims to use that full context to triage, diagnose, and fix production incidents, with a reported 50% reduction in MTTR. The supplied text ends during a discussion of why simply routing alerts to coding agents can fail. ### Source excerpt See how an SRE agent workflow cuts MTTR in half, using full context to triage, diagnose, and fix incidents autonomously, all the way to a RCA. ## Monitor Your Drive Health with Performance Co-Pilot on Fedora DevFeed: [Monitor Your Drive Health with Performance Co-Pilot on Fedora]() Original publisher: [Read original article]() Author: Paul Evans Published: 2026-08-10T08:00:00Z Content type: article Language: en Sources: [Fedora Magazine]() Topics: [Fedora](), [Monitoring](), [Grafana](), [telemetry]() Tags: [data](), [diagnostics](), [drive](), [farm](), [fedora-project-community](), [grafana](), [hdd](), [health](), [home-server](), [metrics](), [monitor](), [monitoring](), [nvme](), [open-source](), [performance](), [performance-metrics](), [self-hosted](), [server](), [smart](), [ssd](), [telemetry](), [wwid]() ### AI overview This article explains how to monitor drive health on Fedora using Performance Co-Pilot (PCP). It covers SMART metric collection for HDDs, SSDs, and NVMe drives, NVMe error-log decoding, WWID-based tracking, Seagate FARM telemetry, continuous metric collection, and Grafana dashboards for viewing drive-health trends. ### Source excerpt You wake up one morning to find your home server unresponsive, after some investigation you discover a failed NVMe drive taking your self-hosted services and data with it. Perhaps you're a system administrator and a workstation's SSD has been silently accumulating errors for months, and now a user is reporting corrupted files. Drive failures are [...] ## I Tried MX Linux on Raspberry Pi: Here's How to Install It DevFeed: [I Tried MX Linux on Raspberry Pi: Here's How to Install It]() Original publisher: [Read original article]() Author: Dhairya Parikh Published: 2026-08-06T03:06:03Z Content type: tutorial Language: en Sources: [RaspberryTips]() Topics: [Linux](), [xfce](), [Disk image](), [Hardware](), [GUI](), [ssh]() Tags: [flash](), [guide](), [hardware](), [how-to-tutorials](), [linux](), [monitor](), [os](), [pi-4](), [raspberry-pi](), [raspberry-pi-os](), [ssh](), [storage](), [tools](), [tutorial]() ### AI overview A hands-on guide to installing MX Linux on supported Raspberry Pi models. It covers the required hardware and software, downloading the MX Linux image, flashing it to an SD card or USB stick, completing the first boot, and performing initial setup. The distribution is based on Raspberry Pi OS and uses XFCE as its desktop environment. ### Source excerpt I've wanted to try MX Linux on a Raspberry Pi for a long time, but until recently there simply wasn't an official way to install it. Now that that's changed, it's finally possible to see if this distribution is a good fit for the Pi. In this guide, I'll show you how to get it... ## btop: monitoriza tu sistema en terminal DevFeed: [btop: monitoriza tu sistema en terminal]() Original publisher: [Read original article]() Author: Antonio Pérez Published: 2026-08-01T10:00:00Z Content type: tutorial Language: es Sources: [tengoping.com]() Topics: [monitor](), [Terminal](), [Command-line interface](), [Linux](), [C++]() Tags: [c-plus-plus](), [linux](), [monitor](), [terminal]() ### AI overview A practical Spanish-language guide to btop, a terminal resource monitor for Linux. It covers installation, real-time CPU, memory, disk, and network monitoring, process management, interface customization, and essential keyboard shortcuts. ### Source excerpt Guía práctica de btop, el monitor de recursos para terminal: instalación, atajos de teclado esenciales y personalización básica. ## Installing AlmaLinux on Raspberry Pi (CentOS Alternative) DevFeed: [Installing AlmaLinux on Raspberry Pi (CentOS Alternative)]() Original publisher: [Read original article]() Author: Dhairya Parikh Published: 2026-07-30T02:29:13Z Content type: tutorial Language: en Sources: [RaspberryTips]() Topics: [Linux](), [Hardware](), [ssh](), [GitHub](), [Software](), [monitor]() Tags: [guide](), [hardware](), [how-to-tutorials](), [linux](), [monitor](), [raspberry-pi](), [software](), [ssh](), [tutorial]() ### AI overview A tutorial for installing AlmaLinux on supported Raspberry Pi models as a CentOS alternative. It covers hardware and software requirements, downloading and flashing the image, basic commands, SSH access, and adding a desktop environment. ### Source excerpt I've tested quite a few Linux distributions on Raspberry Pi, and CentOS used to be an easy recommendation for anyone who wanted a stable, enterprise-style system. But now that CentOS has been discontinued, we've got to find an alternative. AlmaLinux is the one I'd seriously consider. AlmaLinux has been tested for the most recent Raspberry... [Next page]()