Peter J. WelcherI posted last week about upcoming Networking Field Day 40, which I'll be a delegate at. Live videos Wed 4/8 through Fri 4/10! Tags: #PeterWelcher #CCIE1773 #NFD40 #NetworkingFieldDay #NetworkOps #AIOps #AIdatacenter #AInetworking https://www.linkedin.com/pulse/looking-forward-networking-field-day-nfd40-peter-welcher-oe9me/ For more, see https://www.linkedin.com/feed/update/urn:li:activity:7445493933268357120/
Billy E Whited31st March, 2026: Another day of seamless AI-driven operations at Atlas UX! Our team of 30+ agents is working in perfect sync, with task assignments completed and intelligence packets generated. Accountability at its finest #AtlasUX #AIops #Automation
Halexo LtdEffective observability helps teams see what matters, not everything.
Here's a fresh blog with key info about the upcoming Networking Field Day 40, which I'll be a delegate at. Live videos Wed 4/8 through Fri 4/10! Tags: #PeterWelcher #CCIE1773 #NFD40 #NetworkingFieldDay #NetworkOps #AIOps #AIdatacenter #AInetworking https://www.linkedin.com/pulse/looking-forward-networking-field-day-nfd40-peter-welcher-oe9me/
Mean time to repair directly impacts revenue and trust. When automation cuts MTTR by over 50%, the business case becomes clear: fewer escalations, less downtime, and calmer teams.
Tag1 ConsultingFlashy AI features are easy. Getting governance right is hard. Tag1 is helping define the contracts that let AI tools plug into Drupal Workspaces safely, with audit trails and rollbacks built in. http://tag1.co/77927b
Calling all papers24 hours until the CfP for "Chennai SRE Meetup - Q1 2026" closes: https://papercall.io/cfps/6649/submissions/new
Abdul GhafoorStarted learning Bash scripting today, echo, read, and basic script structure.
Beginning to explore conditions and loops, and it already feels like moving from running commands to building logic.
Step by step into automation.
#Linux #Bash #Scripting #DevOpsJourney #Automation #ContinuousLearning #AIOps
GripNews🌘 Chamber | 您專屬的 GPU 基礎設施 AIOps 協作夥伴
➤ 告別 GPU 維運泥淖，用自動化釋放您的算力潛能
✤ https://www.usechamber.io/
Chamber 是一款旨在簡化機器學習（ML）團隊基礎設施管理的 AIOps 解決方案。透過自動化的 AI 代理，Chamber 能即時監控跨雲端的 GPU 資源，消除手動排錯與資源閒置的痛點。其核心功能包括全方位的運算工作負載可觀測性、跨環境的資源調度優化，以及將實驗數據與硬體效能關聯的自動化迭代機制，協助工程師從繁瑣的基礎設施維運中解放，將心力專注於模型創新。
+ 這對我們這類同時管理 AWS 和內部叢集的團隊來說太及時了，特別是自動化 Root Cause 分析的部分，節省了大量除錯時間。
+ 概念很棒，但企業導入這類系統時通常最擔心安全性，看到它強調 SOC 2 認證且模型數據不出內網，這點讓人感到安心。
#AIOps #GPU 基礎設施 #人工智慧運維 #雲端運算
➤ 告別 GPU 維運泥淖，用自動化釋放您的算力潛能
✤ https://www.usechamber.io/
Chamber 是一款旨在簡化機器學習（ML）團隊基礎設施管理的 AIOps 解決方案。透過自動化的 AI 代理，Chamber 能即時監控跨雲端的 GPU 資源，消除手動排錯與資源閒置的痛點。其核心功能包括全方位的運算工作負載可觀測性、跨環境的資源調度優化，以及將實驗數據與硬體效能關聯的自動化迭代機制，協助工程師從繁瑣的基礎設施維運中解放，將心力專注於模型創新。
+ 這對我們這類同時管理 AWS 和內部叢集的團隊來說太及時了，特別是自動化 Root Cause 分析的部分，節省了大量除錯時間。
+ 概念很棒，但企業導入這類系統時通常最擔心安全性，看到它強調 SOC 2 認證且模型數據不出內網，這點讓人感到安心。
#AIOps #GPU 基礎設施 #人工智慧運維 #雲端運算
MTTR is a business metric. If AIOps reduces MTTR by about 40%, the value is fewer outages and faster recovery. Start with incident correlation, priority scoring, and automated runbooks for the most common failure patterns.