The Most Absurd (and Brilliant) Kubernetes Cluster at KubeCon 2025
Engineer Justin Garrison showcased a backpack-sized PETAFLOP Kubernetes cluster at KubeCon 2025, demonstrating localized AI capabilities without cloud reliance.
Updates and recent posts about AWX..
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@kaptain shared an update, 6 months, 3 weeks ago
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Google Breaks Kubernetes Limits Again: Inside the 130,000-Node GKE Cluster
Google successfully operates a 130,000-node Kubernetes cluster to enhance GKE's scalability for AI workloads.
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@devopslinks shared an update, 6 months, 3 weeks ago
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Inside Cloudflare's Worst Outage Since 2019: How a Single Config File Broke the Internet
A database permissions change led to a Cloudflare outage by creating an oversized feature file, causing network failures initially mistaken for a DDoS attack.
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@devopslinks shared an update, 6 months, 3 weeks ago
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Valkey 9.0 Released: Faster Clusters, New TTL Controls, and Big Networking Gains
Valkey 9.0 debuts with atomic slot migrations, hash field expiration, and improved cluster mode support, enhancing data management and scalability.
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@devopslinks shared an update, 6 months, 3 weeks ago
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Grafana 12.3 Lands With New Learning Tools, Better Logs, and a Critical Security Fix
Grafana 12.3 enhances user experience with interactive learning, improved logs visualization, and a critical security fix, alongside new features like dashboard image export and expanded data source support.
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@kala shared an update, 6 months, 3 weeks ago
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Google Unveils Antigravity: An Agentic IDE Built for Autonomous Coding
Google introduces Antigravity, an AI-driven platform enhancing IDEs with autonomous coding capabilities, now in public preview.
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@kala shared an update, 6 months, 3 weeks ago
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Finally: AI Image Generation That Handles Text Correctly - Meet Nano Banana Pro
Google DeepMind introduces Nano Banana Pro, an advanced image generation and editing model, enhancing creative capabilities and available globally in the Gemini app.
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@kala shared an update, 6 months, 3 weeks ago
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Real Repos, Real Tasks, Real Stakes: Cline-Bench Drops With $1M for Open Source
Cline-bench launches to offer realistic AI coding benchmarks, pledging $1M to support open source maintainers and enhance research with real-world challenges.
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@laura_garcia shared a post, 6 months, 4 weeks ago
Software Developer, RELIANOID
📢 RELIANOID is heading to Frankfurt!
We're excited to attend Next IT Security – C-Suites Edition: Redefining Cyber Resilience in DACH, taking place on November 27th, 2025. “The time is always right to do what is right.” – Martin Luther King Jr. This exclusive summit brings together top CISOs, CTOs, and cybersecurity leaders from across..
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@anjali shared a link, 6 months, 4 weeks ago
Customer Marketing Manager, Last9
Top 7 Observability Platforms That Auto-Discover Services
Auto-discovery tools now detect services as they appear and build dashboards instantly. Here are seven platforms that do it well.
The project began at AnsibleWorks as the commercial Ansible Tower product, and after Red Hat acquired Ansible, it open sourced the codebase as AWX in September 2017, positioning it as the development ground where new features land before they are hardened into the supported Automation Platform controller. With AWX, you organize automation around projects (synced from Git or other source control), inventories (static or dynamically pulled from cloud providers), credentials (stored encrypted and injected at runtime), and job templates that tie a playbook to its inventory and credentials. On top of that, it adds role based access control, a visual dashboard, job scheduling, workflow chaining, webhooks, and real time job output, so multiple teams can run, track, and delegate automation without sharing SSH keys or sitting at a terminal.
Modern AWX runs on Kubernetes or OpenShift through the AWX Operator, which manages installation, upgrades, and scaling declaratively, reflecting its shift from a single host application to a cloud native, container based platform. Because it is the upstream of a paid product, AWX moves fast and ships frequently, which makes it ideal for labs, learning, and self managed deployments, though teams needing formal support and long term stability typically run the downstream Automation Platform instead.
