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@faun shared a link, 1 month ago

🚨 Azure Service Health Built-In Policy (Preview) – Now Available! 

Microsoft just droppedAzure Service Health Built-In Policy(Preview). It lets teams push Service Health alerts across every Azure subscription—automatically—using Azure Policy. No more piecemeal setup. It folds in AMBA lessons, supports custom rules and action groups, and locks in alert coverage at ..

🚨 Azure Service Health Built-In Policy (Preview) – Now Available! 
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@faun shared a link, 1 month ago

Introducing Approvals in Pulumi ESC

Pulumi ESC just leveled up withApprovals—structured reviews for environment config changes, straight from Console, CLI, SDK, or VS Code. Think pull requests, but for your infra settings. No more YOLO updates. Teams can now lock down config changes with required sign-offs. More control. Cleaner logs..

Introducing Approvals in Pulumi ESC
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@faun shared a link, 1 month ago

Writing an internal Terraform provider from A to Z

Typeform rolled their ownTerraform providerto wrangle runtime data through an internal API. Built with HashiCorp’sGo SDK, the official scaffolding framework, and wired up withacceptance testsfor full lifecycle muscle. They skipped the publicTerraform Registryentirely. Instead, they shipped provider..

Writing an internal Terraform provider from A to Z
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@faun shared a link, 1 month ago

How to automatically disable users in AWS Managed Microsoft AD based on GuardDuty findings

AWS just dropped a new threat-response setup that tiesGuardDuty,EventBridge,Step Functions, andSystems Manager Run Commandinto one clean pipeline. The goal? Hunt for EC2 threats and lock downActive Directoryaccounts—automatically. GuardDuty kicks off the flow when it spots trouble. From there, Even..

How to automatically disable users in AWS Managed Microsoft AD based on GuardDuty findings
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@faun shared a link, 1 month 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, 1 month 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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@faun shared a link, 1 month 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, 1 month ago

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, 1 month ago

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
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@faun shared a link, 1 month 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..

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