Welcome to the 113th edition of #ThisWeekInDevOps !
This blog aims to keep you up to date with the latest news from the world of DevOps.
Tom Gianos and Dan Weeks discuss Netflix' big data platform architecture, focusing on , and how they use Parquet on AWS S3 as their data warehouse storage layer.
John Barrus has announced in the Google Cloud Platform. What's more, it looks like you can attach multiple GPUs directly to a VM!
Saurya Das has announced General Availability of .
Sabapathy Arumugam blogged about tips and tricks of.
JD.com team blogged about their interesting journey of .
has kindly he co-held about three models of the NGINX microservice reference architecture.
blogged about creating environments with Terraform.
discusses how to architect for failure in a .
Martynas Pumputis introduces .
Kashif S explained by examples .
Tyler Rorabaugh wrote a very comprehensive post on how to set up a chatbot to query logs from your applications within Slack. With simple commands such as "@slackloggly search 'testing'" you'll get real time log search and integration within your chat application.
writes how to integrate Bro IDS (Intrusion detection system) with Elasticsearch. This is a good approach as Elasticsearch provides real time log analytics and graphing with Kibana.
covered on news article a recent intrusion that siphoned hundreds of gigabytes of microphone recording data from critical infrastructure, news media and scientific research. It is believed that the perpretators are state sponsored due to the complexity of the attack.
discusses the typical struggles a company Fastly’s size runs into when building and the things Fastly has put in place to make dealing with incidents easier and more effective.
The team shared their .
LoansWithNoCreditCheck are hiring DevOps Engineers!
That is all for this edition of #ThisWeekInDevOps. If you want to get in touch with us regarding any DevOps news or content here's our details:
Also if you are interested in the latest Scala news you can check Petr's blog post: This week in #Scala 20/02/2017).
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