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🏢 Company: workbase
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📌 Senior DevOps Engineer
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Jaabz
Senior DevOps Engineer - nxp semiconductors
As a member of the team, you will be a key contributor to the development and improvement of the supporting platforms. You will have ample opportunities to expr...
📌 Senior DevOps Engineer (f/m/d)
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Jaabz
Senior DevOps Engineer (f/m/d) - adjoe
adjoe is a leading mobile ad platform developing cutting-edge advertising and monetization solutions that take its app partners’ business to the next level. Par...
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Jaabz
DevOps Engineer (f/m/d) - adjoe
adjoe is a leading mobile ad platform developing cutting-edge advertising and monetization solutions that take its app partners’ business to the next level. Par...
📌 Junior Cloud Engineer - Remote
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Jaabz
Junior Cloud Engineer - Remote - HoloHire
Are you excited about building and managing scalable cloud infrastructures? We are seeking a Junior Cloud Engineer to join our innovative team remotely. In this...
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🚀 Every day, we release over 500 job opportunities. For all jobs, visit Jaabz.com
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Jaabz
Senior DevOps Engineer - Get Recruited Worldwide
One of our prestigious iGaming clients based in Malta has just opened up a role for Senior DevOps Engineer. The client provides a range of iGaming services with...
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🔵 عنوان مقاله
Under the hood: Amazon EKS Auto Mode
🟢 خلاصه مقاله:
Amazon EKS Auto Mode با خودکارسازی راهاندازی، مقیاسدهی و نگهداری کنترل پلین و worker nodeها، بار مدیریت زیرساخت Kubernetes را برمیدارد تا تیمها بر توسعه محصول تمرکز کنند. در این مطلب، AWS توضیح میدهد این رویکرد برای بارهای کاری Kubernetes چه مزایایی دارد؛ از تأمین خودکار ظرفیت و مقیاسپذیری متناسب با ترافیک تا کاهش اضافهظرفیت و سادهسازی عملیات برای سناریوهای مختلف مانند microservices و پردازش دستهای. همچنین نگاهی به سازوکار درونی EKS Auto Mode ارائه میشود—نحوه ایجاد و نگهداری منابع کلاستر، تصمیمهای مقیاسدهی، اعمال بهروزرسانیها و وصلههای امنیتی با حداقل اختلال، و ادغام با قابلیتهای شبکه، ذخیرهسازی و observability در AWS. در پایان، به ملاحظات هزینه، بهترینروشها و نحوه همراستسازی با CI/CD اشاره میشود تا تیمها با اعتماد بیشتری از این اتوماسیون استفاده کنند.
#AmazonEKS #Kubernetes #AWS #Cloud #DevOps #Containers #Autoscaling #PlatformEngineering
🟣لینک مقاله:
https://ku.bz/pdcLkB9Hn
➖➖➖➖➖➖➖➖
👑 @DevOps_Labdon
Under the hood: Amazon EKS Auto Mode
🟢 خلاصه مقاله:
Amazon EKS Auto Mode با خودکارسازی راهاندازی، مقیاسدهی و نگهداری کنترل پلین و worker nodeها، بار مدیریت زیرساخت Kubernetes را برمیدارد تا تیمها بر توسعه محصول تمرکز کنند. در این مطلب، AWS توضیح میدهد این رویکرد برای بارهای کاری Kubernetes چه مزایایی دارد؛ از تأمین خودکار ظرفیت و مقیاسپذیری متناسب با ترافیک تا کاهش اضافهظرفیت و سادهسازی عملیات برای سناریوهای مختلف مانند microservices و پردازش دستهای. همچنین نگاهی به سازوکار درونی EKS Auto Mode ارائه میشود—نحوه ایجاد و نگهداری منابع کلاستر، تصمیمهای مقیاسدهی، اعمال بهروزرسانیها و وصلههای امنیتی با حداقل اختلال، و ادغام با قابلیتهای شبکه، ذخیرهسازی و observability در AWS. در پایان، به ملاحظات هزینه، بهترینروشها و نحوه همراستسازی با CI/CD اشاره میشود تا تیمها با اعتماد بیشتری از این اتوماسیون استفاده کنند.
#AmazonEKS #Kubernetes #AWS #Cloud #DevOps #Containers #Autoscaling #PlatformEngineering
🟣لینک مقاله:
https://ku.bz/pdcLkB9Hn
➖➖➖➖➖➖➖➖
👑 @DevOps_Labdon
Amazon
Under the hood: Amazon EKS Auto Mode | Amazon Web Services
This blog post was co-authored by Alex Kestner, Sr Product Manager – EKS; Todd Neal, Sr. Software Engineer – EKS; Neelendra Bhandari, Sr Software Dev Manager – EKS; and Sai Vennam, Principal Specialist Solutions Architect. At re:Invent 2024, we launched Amazon…
🖥 25 Blogs to Learn 25 Kubernetes Concepts:
1) Kubernetes Architecture: https://lnkd.in/gmRDrusm
2) POD Lifecycle: https://lnkd.in/g9cbpma4
3) etcd Setup: https://lnkd.in/gFzjeCXu
4) etcd Locks: https://lnkd.in/gYbtKsK2
5) crashloopbackoff: https://lnkd.in/gyKyBRt2
6) OOMKilled: https://lnkd.in/gznwimNr
7) ImagePullBackOff: https://lnkd.in/gzCTSWRG
8) CreateContainerConfigError: https://lnkd.in/g6Z5TdBt
9) CreateContainerError: https://lnkd.in/gG_2nHb7
10) RunContainerError: https://lnkd.in/ggQcqi5t
11) Node Disk Pressure: https://lnkd.in/gu9eFiRw
12) Node Not Ready: https://lnkd.in/gksPqZYF
13) Pod Disruption Budget: https://lnkd.in/gNZNxewk
14) RBAC: https://lnkd.in/g2Pr_aA5
15) DNS Optimization: https://lnkd.in/gmNkjZeV
16) Kubernetes Controller: https://lnkd.in/gZ6pkzMt
17) pod.yaml Breakdown: https://lnkd.in/g7yhk_tS
18) Kubernetes Upgrades: https://lnkd.in/g3nwTgwA
19) KEDA vs Karpenter: https://lnkd.in/gED3Vypc
20) Operator vs Helm: https://lnkd.in/gSeg56ME
21) Kubernetes Air Gap: https://lnkd.in/gxxqWdEE
22) QoS Classes: https://lnkd.in/gr_QU8BN
23) Kubernetes CI/CD: https://lnkd.in/gpk_Et74
24) Deployment Strategies: https://lnkd.in/gdU_8A38
25) Security Contexts: https://lnkd.in/gNQizuFy
hashtag#devops hashtag#k8s hashtag#cloud hashtag#docker
1) Kubernetes Architecture: https://lnkd.in/gmRDrusm
2) POD Lifecycle: https://lnkd.in/g9cbpma4
3) etcd Setup: https://lnkd.in/gFzjeCXu
4) etcd Locks: https://lnkd.in/gYbtKsK2
5) crashloopbackoff: https://lnkd.in/gyKyBRt2
6) OOMKilled: https://lnkd.in/gznwimNr
7) ImagePullBackOff: https://lnkd.in/gzCTSWRG
8) CreateContainerConfigError: https://lnkd.in/g6Z5TdBt
9) CreateContainerError: https://lnkd.in/gG_2nHb7
10) RunContainerError: https://lnkd.in/ggQcqi5t
11) Node Disk Pressure: https://lnkd.in/gu9eFiRw
12) Node Not Ready: https://lnkd.in/gksPqZYF
13) Pod Disruption Budget: https://lnkd.in/gNZNxewk
14) RBAC: https://lnkd.in/g2Pr_aA5
15) DNS Optimization: https://lnkd.in/gmNkjZeV
16) Kubernetes Controller: https://lnkd.in/gZ6pkzMt
17) pod.yaml Breakdown: https://lnkd.in/g7yhk_tS
18) Kubernetes Upgrades: https://lnkd.in/g3nwTgwA
19) KEDA vs Karpenter: https://lnkd.in/gED3Vypc
20) Operator vs Helm: https://lnkd.in/gSeg56ME
21) Kubernetes Air Gap: https://lnkd.in/gxxqWdEE
22) QoS Classes: https://lnkd.in/gr_QU8BN
23) Kubernetes CI/CD: https://lnkd.in/gpk_Et74
24) Deployment Strategies: https://lnkd.in/gdU_8A38
25) Security Contexts: https://lnkd.in/gNQizuFy
hashtag#devops hashtag#k8s hashtag#cloud hashtag#docker
lnkd.in
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