Migrate Legacy Java Apps To AWS Fargate

Even 5-10 year old java applications can be containerized and migrated to the cloud Fargate can run Application Servers, like JBoss (now Wildfly) You can run Java Apps on those application servers When migrating, the .war files often need changes / library updates, but that

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A fully automated #DevOps Pipeline in 5 Simple Steps

1. Develop Cloud Native Applications The prerequisite of being able to deploy through a fully automated pipeline is to have cloud native applications. Those applications are stateless: they don’t keep state within the application, but use services to keep state (Cache, RDBMS, NoSQL). Stateless apps

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Scaling Applications In The Cloud

My latest course is all about scaling applications on-premise and in the cloud. Let me explain in just a few paragraphs why you would want to make your application scalable and how you would do it: Making your app scalable will always reduce costs Everyone understands

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Move Fast AND Stay Secure: AWS ReInvent Executive Summary

AWS AWS has more than 1 million active customers EC2 usage increased 95% YOY (Q2 2014 Q2 2015) S3 usage increased 120% YOY DB Usage 127% YOY 81% YOY Revenue growth Amazon Aurora (Enterprise Database) is one of the fastest growing services, faster than RedShift

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Running Microservices In 4 Steps, On-Premises Or In The Cloud

Microservices The traditional monolithic application architecture is easy to develop, test, and deploy. Unfortunately those applications tend to become large, complex, and as a team it’s difficult to work together on the app. Big applications tend to intimidate developers and it also increases coordination within

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Your Own Platform As A Service In 5 Steps, For Free, With Dokku

Platform as a Service (PaaS) is a good way to focus on the app, rather than the infrastructure. At Heroku you can deploy your application in a few steps, without touching and maintaining the Operating System. You can focus on developing your application: you push the app

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The end of the System Administrator

The operational cost of Applications The big operational cost of applications is maintenance. Low and Medium security updates are often applied on a weekly or monthly basis. High and Critical updates are expedited, which means they’re are often implemented during out of hours and weekends.

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5 Steps to start with Big Data at a low cost

1. Cloud Storage Use Cloud Storage as your Data Lake. Anonymize your data or use encryption to satisfy the policies to move your data outside the enterprise. Storing 1 TB in a European Amazon Datacenter is as cheap as $30 per month. 2. Processing as

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Avoid Cloud Vendor Lock-in

Free Cloud For Everyone Every Cloud provider wants you to sign up for their services. To do that, they will offer you some free services. Amazon for instance has the Free Tier. Google Cloud will give you $300 for a free trial. Heroku will give

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Sensitive Data On The Cloud

“The cloud is not secure enough” Maybe you are scared to deploy your applications on public cloud, because you think it is less secure. You rather want everything on-premise, because you think you don’t have to think so much about security. You are wrong. Most

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