This week's 6 best Kubernetes Platform Engineer jobs are: Platform Engineer with Zoox 💰 $203K to $293K a year 🏠🏃🏻♂️🌎 Foster City, CA, USA → https://lnkd.in/gaR5tA-t Platform Engineer with Primer 💰 $225K to $250K a year 🏠 From the office in San Francisco, CA, USA → https://lnkd.in/gAnR2UGP Platform Engineer with Arcesium LLC 💰 $210K to $260K a year 👨💻 Remote from the United States → https://lnkd.in/gbsJRTfS Platform Engineer with Match Group 💰 $213K to $255.5K a year 🏠🏃🏻♂️🌎 New York, NY, USA → https://lnkd.in/gFJirpdW Platform Engineer with Tecton 💰 $189K to $237K a year 🏠🏃🏻♂️🌎 San Francisco, CA, USA → https://lnkd.in/dMyWJc48 Platform Engineer with Skydio 💰 $144.5K to $258K a year 🏠 From the office in San Mateo, CA, USA → https://lnkd.in/g6aCsAsP 👉 Browse all 417 Kubernetes jobs on Kube Careers https://kube.careers
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This article guides you through the process of tracing Kubernetes services by explaining the packet flow through various tables and chains, including the mangle table, NAT table, and filter table. More: https://lnkd.in/gWEsediS
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@[Abdelfettah](urn:li:person:CMHpZNyzt4), Senior Developer Advocate at @[Google](urn:li:organization:1441), shares mixed feelings about Kubernetes features. He appreciates the automatic workload restart, reminiscing about his old-school Linux administration days, and considers it an underrated feature. However, he also points out the challenges with managing Custom Resource Definitions \(CRDs\) and the potential for excessive CRDs and webhooks to jeopardize cluster performance. Watch the full interview: https://lnkd.in/gFZhDXTZ This interview is a reaction to @[Steven](urn:li:person:6sqafCq_zo)'s episode https://lnkd.in/g4fgcqPa
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This article explores an issue with Istio Service Mesh and mTLS caused by a UID mismatch that led to packets leaving the pod unencrypted. The solution involved running the container with a different user. More: https://lnkd.in/gQEHZNzK
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The article provides insights into monitoring containerd by discussing key plugins such as "containers", "exchange", and "tasks". It explains how to monitor containerd health by collecting metrics, logs, profiles, traces, events, and operational data. More: https://lnkd.in/g7q-8_uF
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Mathew, Principal Security Engineer at SYBO, shared insights on the evolving landscape of Kubernetes upgrades. He highlights the shift towards automation that aids teams in managing upgrades more efficiently. However, Mat points out that the core decision-making process remains unchanged, with teams weighing options between in-place upgrades, handling node worker group upgrades, or opting for blue-green deployments. Watch the full episode: https://lnkd.in/gEtcM2Gb
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Canonical Kubernetes is the fastest, easiest way to deploy a fully conformant Kubernetes cluster. Harnessing pure upstream Kubernetes, this distribution adds the missing pieces (e.g. ingress, DNS, networking) for a zero-ops experience. More: https://lnkd.in/gBmzwS2a
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This article covers ClusterIP, NodePort, LoadBalancer, and ExternalName Services, explaining how each type of service works and how it exposes applications to the outside world. More: https://lnkd.in/gDdhMR8a
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This article explains in depth how GKE performs the node surge upgrade and what you should consider to influence the upgrade process. It also clarifies some common misunderstandings and caveats that you should avoid. More: https://lnkd.in/gWmDVmcJ
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Inclavare Containers is a container runtime with a novel approach for launching protected containers in hardware-assisted Trusted Execution Environments, which can prevent an untrusted entity from accessing sensitive and confidential assets. More: https://lnkd.in/gDmYVENV
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In this tutorial, you'll learn how to deploy Ollama on GKE and how GPU acceleration outperforms CPU-based instances in LLM tasks. You'll also discover Ollama's limitations: registry dependency and sequential request handling. More: https://lnkd.in/dEAZPnTb
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