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每周阅读(1/1/2018)

每周阅读(1/1/2018)

作者: Jeff | 来源:发表于2018-01-06 14:17 被阅读13次

    2018年第一周,简单罗列以下希望能完成的一些事:

    • make something new 希望能做出一些新东西和尝试新的工作方向
    • more focus 变得更为专注一些,不要过多在网络上
    • construct knowledge system 构建自己的知识体系和学习方法,学会 Go,更多的深入 Docker/K8s/Cloud services,这是未来几年的工作方向
    • more reading and writing 读的更多,更系统和深入,同时也写的多一些和好一些
    • investment 学会理财和投资,主要围绕基金
    • minimalism 简化生活,减少需求
    • parenting and family 为人夫,为人子,为人父,照顾好一大家子
    • friends 和好友们多联系,互相帮助
    • exercise and health 坚持锻炼,健康饮食,保持健康

    当今城市独生子女的7大心理特征

    • 背负着沉重的情感负担
    • 对话语权要求很高
    • 知识面宽广
    • 都很善良
    • 现实感非常弱
    • 对个性化生活要求非常高
    • 活在“第三只笼子”里

    孩子来到这个世界上,家长对他太好了,就像食物;但同时给他压力,就像电击,孩子们如同老鼠在第三个笼子。每个家庭都渴望自己的孩子是成功者,嘴巴不说,心里是这样想的。

    己所不欲,勿施于人。我从小从内心对于爹妈的教养方式感到不舒服的地方,尽量纠正那些做法,多读些育儿书籍,总之希望孩子觉得我是个好爸爸,没有给他的成长带来过大的压力和负面影响。

    MICROSERVICE'ING LIKE A UNICORN WITH KUBERNETES, ENVOY, AND ISTIO

    微服务和 service mesh,主要围绕着 envoy 和 istio,2018 年会爆发。

    Introduction to modern network load balancing and proxying

    全面介绍了目前的负载均衡的各个做法,及其各自的优劣;云和软件会把硬件厂商例如 f5 干趴下。

    To summarize, the key takeaways of this post are:

    • Load balancers are are a key component in modern distributed systems.
    • There are two general classes of load balancers: L4 and L7.
    • Both L4 and L7 load balancers are relevant in modern architectures.
    • L4 load balancers are moving towards horizontally scalable distributed consistent hashing solutions.
    • L7 load balancers are being heavily invested in recently due to the proliferation of dynamic microservice architectures.
    • Global load balancing and a split between the control plane and the data plane is the future of load balancing and where the majority of future innovation and commercial opportunities will be found. (这一条和目前的 service mesh 有关)
    • The industry is aggressively moving towards commodity OSS hardware and software for networking solutions. I believe traditional load balancing vendors like F5 will be displaced first by OSS software and cloud vendors. Traditional router/switch vendors such as Arista/Cumulus/etc. I think have a larger runway in on-premise deployments but ultimately will also be displaced by the public cloud vendors and their homegrown physical networks.

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