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MariaDB Kubernetes Operator 25.08.0 Adds AI Vector Support and Disaster Recovery Enhancements

MariaDB Kubernetes Operator 25.08.0 drops some real upgrades. First up:physical backups. Now supported through native MariaDB tools and Kubernetes CSI snapshots—huge win if you're dealing with chunky datasets and tight recovery windows. It alsodefaults to MariaDB 11.8, which brings in anative vect..

MariaDB Kubernetes Operator 25.08.0 Adds AI Vector Support and Disaster Recovery Enhancements
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@faun shared a link, 2 weeks, 3 days ago

How I eliminated networking complexity

A fresh pattern’s gaining traction:Docker + Tailscale sidecarsreplacing old-school reverse proxies and clunky VPNs. Each service runs as its ownmesh-routed node, containerized and independent. The trick?Network namespace sharing.App containers hook into the Tailscale mesh with no exposed ports, no ..

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@faun shared a link, 2 weeks, 3 days ago

AI inference supercharges on Google Kubernetes Engine

Google Cloud's pushingGKEbeyond container orchestration, framing it as an AI inference engine. Meet the new crew: theInference Gateway(smart load balancer, talks models and hardware),custom compute classes, and aDynamic Workload Schedulerthat tunes for both speed and spend. The setup handles GPU an..

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@faun shared a link, 2 weeks, 3 days ago

Cloud native is not just for hyperscalers

CNCF just dropped anAI workload conformance program, built like the Kubernetes one—so AI tools play nice across clusters. Portability, meet your referee. It’s tightening the loop betweenOpenTelemetry and OpenSearch, turning ad-hoc hacks into actual cross-project coordination. AndBackstage and GitOp..

Cloud native is not just for hyperscalers
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Cloudera Acquires Taikun for Managing Kubernetes and Cloud

Cloudera acquired Taikun for seamless deployment of data and AI workloads in any environment. This move reinforces Cloudera's commitment to flexibility and innovation in managing complex IT infrastructures...

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@faun shared a link, 2 weeks, 3 days ago

How We Saved $1.22 Million Annually on GCP Costs in a Few Simple Steps

Arpeely chopped$140K/monthoff their cloud bill using a surgical mix of GCP tricks. Committed Use Discounts (CUDs) for high-availability services? Check. Smarter Kubernetes HPA configs? Definitely. Archiving old BigQuery data into GCS Archive? That one alone slashed storage costs 16x. The real kicker..

How We Saved $1.22 Million Annually on GCP Costs in a Few Simple Steps
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@faun shared a link, 2 weeks, 3 days ago

Accessing the Kubernetes API from SQL Server 2025

SQL Server 2025 rolls outspinvokeexternalrestendpoint, a new way to hit REST APIs straight from T-SQL. That includes calling the Kubernetes API—thanks to a reverse proxy in front. The setup’s not exactly plug-and-play. You’ll need custom TLS certs, an nginx reverse proxy, and Kubernetes RBAC to kee..

Accessing the Kubernetes API from SQL Server 2025
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@faun shared a link, 2 weeks, 3 days ago

Kubernetes Observability: Pillars, Tools & Best Practices

Kubernetes observability isn’t just about catching metrics or tailing logs. It’s about stitching togethermetrics, logs, and tracesto see what’s actually happening—across services, over time, and through the chaos. Thing is, Kubernetes doesn’t come with this built in. So teams hack together toolchai..

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Introducing Headlamp AI Assistant

Headlamp just dropped an AI Assistant plugin that foldsLLM-driven actions and queriesstraight into the Kubernetes UI. It taps intocontext-aware promptsto spot issues, restart deployments, and hunt down flaky pods—without leaving the interface. System shift:This pushes Kubernetes toward intent-based..

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Introducing Kubernetes for Snowflake

Snowflake just leveled up its workload scheduler—now driven by LLMs and reinforcement learning. Instead of locking jobs to static warehouses, it predicts where to send them in real-time. Smarter routing, tighter hardware use, over40%shaved off compute bills. Bigger picture:Another nod toward ML-bas..

Introducing Kubernetes for Snowflake
Syself Autopilot takes care of the entire lifecycle of clusters, from provisioning to scaling, updates and other day-2 tasks. Free up your teams to work on what really matters . Use Kubernetes, don't manage.

For companies in need of tailored services, we have a dedicated team of experts in delivering cloud-native software and enterprise-grade infrastructure configuration.

Why Choose Syself:
• We've built and maintained the most popular Cluster API Provider, that manages thousands of servers in production at Hetzner
• We actively participate in the Kubernetes community, contributing to other provider integrations and the Cluster API project, ensuring alignment with community standards
• We have a team of experts distributed in 4 continents, aways ready to assist you with urgent issues or tailored advice
• We've won a public tender from the German government to build a Kubernetes-as-a-service framework for managing cluster lifecycle, aiding the government and agencies to use Cluster API

About Syself Autopilot:
• Pre-built, immutable base for 100% reproducible clusters
• Declarative, idempotente cluster definition as Kubernetes resources
• Fully compatible with GitOps and other Kubernetes-native tools
• GDPR compliant
• One click or automated upgrades of clusters, including OS, Kubernetes control and data planes and add-ons
• Self-healing: automated issue detection and fixes, without human intervention
• Users own the entire infrastructure, including control planes