Remove tag scale-out-storage
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How to create and update Google terraform provider magic modules resource definitions

Xebia

In this blog I will show you how you can quickly generate and update these resource definitions using a simple utility. I wanted to write a blog about it, and showcase the configuration with terraform templates. ruby/object:Api::Type::Integer WARNING: mismatch of type on field Service.template.labels, existing tag !ruby/object:Api::Type::KeyValuePairs

Resources 130
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How to make your web application more secure by using Dynamic Application Security Testing (DAST) – PART 2 of Application Security Testing series

Xebia

Like I mentioned in the previous blog, during this blog series we are going to look at the different types of Application Security Testing and Software Composition Analysis. If you missed part one, be sure to check it out: Application Security Testing Part one. No persistent storage is used. You can download Docker here.

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Improved Alerting with Atlas Streaming Eval

Netflix Tech

Ruchir Jha , Brian Harrington , Yingwu Zhao TL;DR Streaming alert evaluation scales much better than the traditional approach of polling time-series databases. While we were able to put out the immediate fire by disabling the newly created alerts, this incident raised some critical concerns around the scalability of our alerting system.

Metrics 115
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Infinidat Neural Cache: Harnessing Deep Learning to Drive High Performance at Low Cost

Infinidat

When All-Flash Arrays (AFAs) first appeared, the conventional wisdom about them consisted of two data points: they were very fast, and they had a high cost for raw storage capacity. Infinidat uses a larger DRAM cache than most enterprise storage vendors – up to 3TB in its larger systems – which provides more cache capacity.

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Building Netflix’s Distributed Tracing Infrastructure

Netflix Tech

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls.

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Introducing New Azure Hands-On Labs

Linux Academy

On top of what we’ve already put out, we are also launching new hands-on labs and Azure courses almost weekly. Here are some of our Azure hands-on labs that are currently out and ready for you to use: Use Azure CLI to Change VM Networking. Intro to Using Azure Blob Storage. Applying Tags to VMs in Azure Using Powershell.

Azure 126
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Snowflake Best Practices for Data Engineering

Perficient

Use multiple data models: Local data storage is so costly that it was not possible to store multiple copies of data, each using a different data model to meet your requirements. This reduces the effort of scanning large numbers of data files in cloud storage. In fact, this is another example of using the right tools.