October 1, 2015

Enterprise transformation with Bluemix Hybrid

Those following the Bluemix story understand the true power of Bluemix – allowing developers to focus on faster, better and easier ways to build applications in the cloud. Developers are able to choose from a catalog of over 100 services and stitch them together to create powerful cognitive, Internet of Things, and mobile applications. It is no surprise that we are onboarding over 15,000 new users per week! Today IBM announced the third leg of our hybrid strategy – Bluemix Local. This post presents a typical scenario of an enterprise customer using Bluemix Local to build a hybrid solution.

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September 30, 2015

IBM Containers Launch in London

IBM Containers launched in the Bluemix United Kingdom region September 29, 2015, giving users access to enterprise-grade container technology based on Docker. IBM Containers availability in London denotes an important milestone for customers that face data sovereignty issues, security concerns, and WAN latency. Several highly regulated industries, such as banking, insurance, and healthcare are required to keep the data within the European Union.

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September 30, 2015

Modeling is now Predictive Analytics

The Predictive Modeling service on Bluemix is getting a new name: Predictive Analytics! IBM Predictive Analytics is a full-service Bluemix offering that makes it easy for developers and data scientists to work together to integrate machine learning capabilities with their Bluemix or standalone applications.

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September 30, 2015

BP3 and IBM help clients move to the cloud on their own terms

BP3, a professional services firm focused on business process improvement and management, prides itself on having deployed solutions in some of the most challenging environments the Fortune 500 have to offer. And when it comes to cloud, things can get even tougher. To meet their clients’ wide range of needs and preferences, BP3 has teamed with IBM to deliver secure and flexible cloud computing options.

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September 30, 2015

Are Identity Silos Slowing Your Cloud Adoption?

Enterprises are moving more and more applications to cloud every day. One of the biggest challenges for cloud deployment is being able to authenticate cloud application users with existing on-premises identity sources. These identities on-premise are typically scattered across multiple different repositories, what we call “identity silos”. This post explains the origins of identity silos and presents an approach to integrate them into your cloud-based application.

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September 29, 2015

Bluemix logging dashboard Quick Reference

In Bluemix, you can use IBM Containers to create and manage multiple instances of an app for optimal load balancing and scalability. To monitor the usage of your apps, you can customize a dashboard to see the data from your containers the way you want to see it. This blog includes a quick reference guide for the Kibana user interface to use as you customize your dashboard.

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September 29, 2015

How to create a custom Kibana dashboard

In this blog, I will describe the default Kibana dashboard in Bluemix that can be used to review logs from IBM Containers, how to modify that default dashboard, and how to create a custom dashboard to display your log data.

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September 29, 2015

Webinar Q&A: Avoid the Nightmare! How Auto-Scaling Can Save Your Apps

Every developer’s or startup’s dream is for their app to be wildly successful, make lots of money, and get tons of traffic. However, if your app blows up overnight – i.e. featured on Reddit or Slashdot – can you manage the increased traffic so that your app doesn’t tank? Dreams quickly become nightmares if you’re not prepared to ensure your application’s survival. This update provides answers to the questions posed during the webinar.

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September 29, 2015

Debugging Node.js Apps in IBM Containers

My tool of choice when debugging Node.js applications is Node Inspector. Node Inspector is a simple to use debugger that works in Chrome or Opera. I had used Node Inspector many times when debugging a Node.js app on my local machine but I had never tried to use it when debugging an app in a Docker container. After much trial and error, I eventually got it working and thought it would be good to document how to do it in a blog post.

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