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The Challenging Migration from Heroku to Google Kubernetes Engine

Algolia

One of our customers wanted us to crawl from a fixed IP address so that they could whitelist that IP for high-rate crawling without being throttled by their load balancer. We therefore started writing Kubernetes definition files for each service. A good example of this complexity is with IP Whitelisting.

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Automate releases from your pipelines using Infrastructure as Code

CircleCI

Pulumi provides high-level cloud packages in addition to low-level resource definitions across all the major clouds service providers (e.g., Next, sign up for Pulumi and Google Cloud accounts, if you haven’t done so previously. Google Cloud setup. Encode the Google Service Account file. . -

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What’s Free at Linux Academy — March 2019

Linux Academy

Google Cloud Essentials — This course is designed for those who want to learn about Google Cloud: what cloud computing is, the overall advantages Google Cloud offers, and detailed explanation of all major services (what they are, their use cases, and how to use them).

Linux 80
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The Good and the Bad of Kubernetes Container Orchestration

Altexsoft

Kubernetes load balancer to optimize performance and improve app stability The goal of load balancing is to evenly distribute incoming traffic across machines, enabling an app to remain stable and easily handle a large number of client requests. Hard learning curve Kubernetes is definitely not for IT newcomers.

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Cloudera DataFlow Designer: The Key to Agile Data Pipeline Development

Cloudera

The data flow life cycle with Cloudera DataFlow for the Public Cloud (CDF-PC) Data flows in CDF-PC follow a bespoke life cycle that starts with either creating a new draft from scratch or by opening an existing flow definition from the Catalog. Any flow definition in the Catalog can be executed as a deployment or a function.

Agile 84
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Improve Performance, Security, and SEO with JAMStack

Modus Create

The definition of JAMStack, coming directly from Matt Biilmann’s book: “ J avaScript in the browser as the runtime; Reusable HTTP A PIs rather than app-specific databases; Prebuilt m arkup as the delivery mechanism.” Function as a Service (Serverless) options: Netlify , AWS with SAM framework , Azure Functions and Google Cloud.

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The IT Leader’s Ultimate Multicloud Toolbox

Perficient

Weaknesses: Learning Curve : While Terraform is relatively easy to pick up, having development experience and platform knowledge on Azure, AWS, or the platform you’re targeting would definitely help. Ansible is also great for configuration management of infrastructure such as VMs, switches, and load balancers.