One of the hardest things companies struggle with today is release management. Of course many methodologies and even more tools or technologies exist, but how do we bring everything together and work across functional boundaries of an organization? A product release involves everyone in the company not just a single team. Many companies struggle with this and the result is a much slower innovation cycle. In the past this used to be something that at least wasn’t a deal breaker. Unfortunately that is no longer the case. Today companies live and die by their ability to not only innovate but release innovation. I would say innovating is the easy part, the ability to provide those innovations in a controlled fashion through products and services is the real challenge.
OpenShift Enterprise v3 by Red Hat is about building and running next-gen applications. If we look around, we have seen startups in virtually every market segment, turning the competitive landscape upside down. Startup companies like NetFlix, Spotify and Uber have literally pushed the incumbents to the brink of extinction and overtaken entire industries in a very short period of time. How have they been able to rival incumbents 100 times their size? The answer is simple, by bringing innovation to the market faster, much faster. Complacency and overcoming previous successes are very challenging for incumbents. It is much easier for a startup to innovate than an existing company with a degree of legacy. OpenShift v3 will level the playing field and provide organizations the appropriate tooling to rapidly reduce their time-to-market.
OpenShift v3 allows organizations to deliver innovation faster by:
- Maximizing time developers actually spend developing
- Enabling efficient clean hand-offs between Dev & Ops (DevOps)
- Automating development pipelines and continuous integration / delivery
- Increasing speed of innovation through more frequent experimentation
- Providing state-of-the-art enterprise grade container infrastructure
In this article we will look at how to setup an OpenShift lab environment and get started on the journey to faster innovation cycles.
Once upon a time not too long ago, I had a project to transport data in and out of S3 using Java. Things started off rather smoothly. Within about 30 minutes I had my Amazon Web Services (AWS) account active, had the Java SDK pulled into Eclipse through Maven and was testing my first AWS S3 API calls. Continue reading