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This week’s podcast features a discussion with John Feminella about his talk from SpringOne Platform that leverages the legal metaphor of contracts to describe the beneficial trade-offs between things like 12 factor coding and continuous delivery. John also goes over the build vs. buy decision process for thinking through building your own platform versus using something like Pivotal Cloud Foundry, with some anecdotes from enterprises thinking through that decision.
At Pivotal, diversity is something we view as important, recognizing that diverse teams build better results. We also realize that it takes work and will not happen without facilitation. Pivotal platform engineer, Jeenal Shah shares a call to action for women to join her at the next free gateway event, Pivotal Cloud Foundry Industry Day, to become part of the future of modern software development and operations–one that we all aspire to have as more inclusive and diverse.
System administrators are rethinking their approach to manage large scale infrastructure. Previously, they spent an enormous amount of energy working to incrementally update machines and software. Many vendors have rallied around an idea that promises to transform the nature of infrastructure management—immutable infrastructure. To support this ideal, Pivotal created BOSH: an open source tool for release engineering, deployment, lifecycle management, and monitoring of distributed systems. BOSH has long helped Linux sysadmins achieve infrastructure immutability—and Windows administrators will soon be able to leverage BOSH to automate infrastructure management at scale.
Data microservices play an important role in supporting data-driven applications—those applications that consume and put to use insights from Big Data analytics and data science systems. In this episode, host Jeff Kelly talks with Vinicius Carvalho, a platform architect at Pivotal, who is at the forefront of the data microservices movement. The pair discuss what a data microservice is, what the benefits to building applications using data microservices, and provide some examples of the types of applications that data microservices enable.
While at SpringOne Platform 2016 I, Pivotal Conversations host Coté talks with Marcin Grzejszczak about one of the projects he works on, Spring Sleuth. Based on Zipkin, Sleuth is a framework for distributed tracing which turns out to be handy for the types of architectures we see in cloud native applications, particularly microservices.
As we reach the first release of Apache HAWQ, Pivotal is providing new single- and multi-node sandbox environments for architects, developers, and big data administrators to use. Support for Pivotal HDB, our version of Apache HAWQ, is also included. This article explains the background, design, and capabilities of our new sandboxes, including expanded test options for a multi-node environment to better mirror real-world scenarios. Download links included.
Big Data can seem complicated and overwhelming to many in the enterprise, especially to non-technical business folks. Indeed, predictive analytics and machine learning are complex disciplines. That’s why data scientists—those mythical creatures with a harmonious blend of math skills, statistics expertise, business acumen and a knack for storytelling—are in such high demand. But the conceptual framework for operationalizing Big Data in the form of smart applications follows a fairly simple formula—or recipe—that almost any technical professional can grasp. It's not for unicorns alone.
This week’s podcast finds hosts Cote and Richard Seroter at SpringOne Platform, talking with Pivotal Cloud Foundry’s head of partnering engineering Josh McKenty to find out more on the burgeoning partner ecosystem, and how the program Josh crafted to support it works.
If you want to spin up a Apache Hadoop cluster, you need to grapple with the question of how to attach your disks. Historically, this decision has favored direct attached storage (DAS). However, technology has advanced and shared storage costs have declined, making network attached storage (NAS) a cleaner approach for many. This article lays out the cost-benefits in today’s technology landscape, including relevant performance data to help you decide if NAS or DAS is right for your Hadoop deployment.
Blockchain is considered one of the most potentially disruptive technologies to hit the financial services industry, but did you know that it can be applied beyond cryptocurrencies? In this post, one of Pivotal’s Platform Engineers, Jared Gordon, explains how blockchain architectures can run on Pivotal Cloud Foundry, provides demo apps and code downloads, and then suggests practical uses for blockchain apps which offer operational support to Cloud Foundry itself.