It was a great day in Minneapolis! The Microservices with Apache Camel was held at Target Field (inside the ballpark, overlooking the field of play). “Takes a lot to put together an event like this but can certainly be a lot of fun! Go microservices!,” says Red Hat associate Jen Fissel.
I had the privilege of hosting the event and kicked off the event with a reference to the connected world we live in that requires enterprises to be agile while being integrated across the systems of yesterday with the evolving applications of the future. The future of Enterprise IT, containers, are here today and microservices are the stars of the show. Welcome to Minneapolis!
Continue reading “It’s a great Red Hat day in Minneapolis — Go Microservices !”
Does your organization need to reduce costs and improve efficiencies? Start with a process-first approach. Before you dive into what software tool to implement or select a new solution to address a business challenge, understand your existing business processes. What steps does your organization take within the business processes? Are things manual? Can you automate and improve the way you do business?
Continue reading “Data and Architecture, pt 2: Process Improvement”
The way the MEAP works is that every month or so Manning puts a new chapter online. As of this week chapter 5 is available and those already in the MEAP will have access to start reading the chapter.
This is a large chapter and it is one of the harder topics to confine to a single chapter. I do expect to split this chapter up in the future so that you have the basics and then more advanced topics regarding learning to effectively implement your business logic with JBoss BPM.
To give you an idea of what’s available so far:
You can read this excerpt online before you decide, but I look forward to hearing from you on the content and stay tuned for more.
Your business needs to better use its data — but what does that mean? Context matters. Data governance, reporting and analytics, business intelligence. When you approach your data architecture, first start with asking the right questions that solve business challenges. What data does the sales team need to increase sales by x %? What data does the engineering team need to work on and innovate products that provide competitive advantage?
Similar questions have inspired companies to disrupt markets. Uber started with asking questions like, how can we optimize drivers at the right locations with the most customer demand? How can we give consumers the ability to call a cab with a click of a button? Tomasz Tunguz highlights similar examples in his book Winning with Data, where he states that “the best data-driven companies operationalize data.” To operationalize data is where companies can use the right data to rapidly change the way they operate.
In order to use the right data, ask the right questions. Gartner states exactly this, “Ask the right questions” in the 2015 article Big Data Analytics Failures and How to Prevent Them. Simply, what problem or toughest business challenge is your company trying to solve with data?
At the foundation and beginning practice of enterprise architecture, dating back to the 70’s with the Zachman Framework, the principle question related to data was “what data is needed to list the things most important to the business?” The framework focuses on the “what”, what is needed, in order to produce the right enterprise, data and technology models for the best use of data.
In order to harness the “Power of Data”, HBR suggests that companies start with the business problem in mind, and then “seek to gain insights from vast amounts of data.” With stating the specific business problem, companies can narrow the search and refine how they are going to find data-driven answers to their most challenging business problems.
Red Hat Developers and author N. Harrison Ripps have just begun releasing a ten-part series in which Harrison describes the process of deploying an application using containers into a clustered environment on the cloud.
Using the ZRC IRC client as a sample application, Harrison demonstrates each step in the process of containerizing software, dealing with issues like statelessness, security, and robustness that are typically architectural hurdles for most development teams moving to a cloud infrastructure.
Parameterizing application settings is a common requirement of applications that end up deploying to any environment, and containers have only heightened this need — with the emergence of on-demand environments, scriptability and configurability of the application images being deployed is a must.
Harrison suggests that containerizing applications should happen later, while development should happen first. This might seem intuitive, but his point is that containerizing an application actually need not introduce many development-time changes that would affect the architecture of your system — it can, but it need not. For a small sacrifice of startup performance, container images can be made more configurable and flexible, supporting DevOps procedures and deployments.
Once configured, the series also demonstrates how to host the application on a private instance of the OpenShift Container Platform, including clustering, via either the Red Hat Container Development Kit (CDK), or binary download of OpenShift. Harrison goes step-by-step through the process of starting the private cloud, deploying the application, and using Kubernetes to cluster the application.
Using attached storage, Harrison introduces a window of statefulness into our container environment. This produces an application that runs on the cloud in stateless containers, but maintains its internal state throughout the lifecycle as pods are brought up and down.
Follow along and learn some of these core cloud concepts as the series is published:
With a finite budget, resources, and capacity for change, your enterprise is challenged with how to effectively manage budgets. Prioritization within the enterprise portfolio is key to optimizing the right spend for the right initiatives. Using key prioritization data for the portfolio helps with determining what to focus on.
To build on investing in the right things, at the right time, the enterprise should prioritize top strategic initiatives within the enterprise portfolio. Using data to inform prioritization decisions is key. Executives and senior leaders want top initiatives to align to strategy, objectives, measurable business outcomes and financial factors (defined in the business case, which was covered in my previous post).
A Prioritization Scorecard calculates priority data that is needed to inform decisions, which are strategic drivers, or key values that align to strategic goals, and detractor information, key values that take away from the project. The data attributes for the key values should be taken directly from the business case. The key outcome is using this scorecard data to generate collective buy-in from senior leadership on top strategic priorities.
How can you help your department invest in the right things, at the right time? The way you develop your plan can help clarify what your priorities and goals are — and having clear goals is an important part of being able to achieve those goals.
Start with the basics. The foundation is a business case. You want your company’s senior executives, to all levels of employees, to clearly understand what you are trying to achieve with an initiative for a product or service offering.
Continue reading “Enterprise investment management simplified: The business case”
JBoss Enterprise Application Server 7 has been out since June, and if you build and deliver using a Java EE environment and haven’t yet upgraded to EAP7, it’s time to make the jump.
Here’s a look at what’s new in JBoss EAP 7, what has changed since JBoss EAP 6, and how to get the most out of JBoss EAP 7 as your Java EE7 server.
JBoss EAP 7 is based on WildFly Application Server 10, which provides a complete implementation of the Java EE 7 Full and Web Profile standards. WildFly 10 does much to simplify modern application delivery based on containers and microservices.
JBoss EAP 7 features certified support for Java EE7 and Java 8 SE. The WildFly integration brings experimental Java 9 support, too. It also supports current development snapshots of Java 9, which is expected for release this fall.
We are excited to announce the release of Red Hat JBoss Data Virtualization 6.3.
Data integration has always been challenging. Modern technology trends like big data and cloud, coupled with the need for more real time data access and analysis, are adding to the complexity facing enterprises today.
JBoss Data Virtualization is a data access and integration solution that offers an alternative to physical data consolidation and data delivery by allowing flexibility and agility in data access. Data virtualization creates a single logical view of data from varied data sources, including transactional systems, relational databases, cloud data stores, and big data stores.
What’s New in JDV 6.3
JBoss Data Virtualization 6.3 adds capabilities to help organizations integrate big data and provide high performance data access in real time. The release notes cover the full features and enhancements for JBoss Data Virtualization 6.3. There are a number of new features to enable expanded connectivity, enhanced security and developer productivity support.
Continue reading “Announcing Red Hat JBoss Data Virtualization 6.3”