2019 has only just begun – what will the year hold? Ring in the new year with tech predictions from the experts. Today, Sacha Labourey, CEO and founder at CloudBees shares his thoughts on the biggest changes for the technology sector that we will see in 2019.
As 2018 is almost over, it’s time to do a full review of the last year. Our focus? DevOps, of course! In this article, we take a look at the top 7 DevOps stories of 2018. But that is not all! At the end of the article, we have a special JAX DevOps offer for you to light up that holiday atmosphere!
Oracle Cloud Native Framework is the first cloud native platform of its kind, providing managed cloud services and on-premises software while offering a wealth of new services on the existing Oracle Cloud Infrastructure across applications, provisioning, and analytical verticals. We talked to Bob Quillin, VP of developer relations for Oracle Cloud Infrastructure about the benefits of this framework, his cloud native predictions for 2019 and more.
If you operationally treat blockchain networks largely the same and then build your continuous integration/continuous deployment and other systems just as you would for software built on previous generations of technology, then you have an ability to leverage all the niceties that cloud environments offer. We talked to Casey Kuhlman, CEO of Monax about the benefits of running blockchains in the cloud, the lessons learned and his blockchain predictions for 2019.
Project Flogo is a Flow-based process engine written in Go. As the project continues to mature, it has expanded to simplifying the notion of event-driven apps by providing multiple action implementations for various event processing techniques. We talked to Matt Ellis, Director of Product Manager and Head of Open Source at TIBCO about project Flogo, its future, why developers should use it and more.
It is time for a major makeover for Linkerd and it comes in the form of a fancy new UI in the newly-released 2.1 version. But that is not all! This release is stuffed with a bunch of new features and important updates. Let’s take a look.
The flexibility and choice around cloud are compelling. However, this ease of deployment and management has to move over to the data side of applications too. Therefore, distributed data models have to be a part of the initial design. Patrick McFadin explains how developers will be able to avoid issues around scaling data.
Cloud technology is taking over the enterprise world. However, there’s a gap between this rapid technology and the skill pool prompting some reports to call it a “cloud skills crisis”. Just how barren is this cloud skills desert?
The way we design, develop, and run applications on cloud native platforms like Kubernetes differs significantly from the traditional approach. DevOpsCon speaker Roland Huß looks at a collection of common patterns for developing cloud native applications. After this session, you will have a solid overview of how common problems can be solved when developing cloud native applications for Kubernetes.
“Public Cloud: yes or no?” – a question radically outpaced by the train of technology. More and more companies are looking into the advantages and disadvantages of a public cloud infrastructure. There is no doubt that the public cloud has its advantages. Its elasticity, high vertical integration, and global distribution are ideal for certain applications. However, very few applications really need this, and it’s worth taking a closer look.
The news that tech giant IBM is acquiring Red Hat made waves throughout the industry. We talked to Murray Rode, Chief Executive Officer of TIBCO about the impact of the acquisition on the open source ecosystem, the multi-cloud trend and more. Since both IBM and Red Hat are deeply involved in the Java ecosystem, we also discussed what the Java market has to lose if things go south.
The cloud has its share of benefits such as greater flexibility, accessibility, and resilience but it also has flaws. We talked to Brian Johnson, co-founder and CEO of DivvyCloud to learn more about the impact of “cloud sprawl” and how to avoid it.
If you cannot or do not want to build an AI project from scratch, you have countless choices of ready-made services. But what can you do if the finished services do not fit the project? Customizable AI and ML models in the cloud, which you can train with your own data, provide a remedy.
The latest edition of ThoughtWorks’ Technology Radar has highlighted what a lot of commentators already know: Istio and Knative are worth exploring but so are WebAssembly and Flutter. What’s even more interesting is that there are no languages, tools or platforms on the ‘adopt’ list so it’s safe to say that no one is missing out on anything.
