Communication between distributed software components in a cloud-native application is an important and challenging aspect of cloud-native development. This post introduces a solution to that problem using Virtual Application Networks (VANs). A VAN can be set up by a developer and used to connect the components of an application that are deployed in different public, private, and edge cloud environments.
Cloud-native development is about writing software in such a way that it can be deployed easily, flexibly, and automatically into the hybrid-cloud ecosystem to take advantage of the scale of the cloud. A big part of taking advantage of cloud scale is the ability to deploy components of a distributed system in different locations.
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Istio exists to make life easier for application developers working with Kubernetes. But what about making Istio easier? Well, that’s Kiali’s job. Read on to learn more about making Istio even more pleasant to use.
Deploying and managing microservice applications is hard. When you break down an application into components, you add complexity in how those components communicate with each other. Getting an alert when something goes wrong, and figuring out how to fix it, is a challenge involving networking, storage, and potentially dozens of different compute nodes.
Continue reading “Kiali: An observability platform for Istio”
Teams from Red Hat and NVIDIA have collaborated on creating a scalable hybrid cloud application that could revolutionize smart city initiatives such as traffic-flow monitoring and transportation management around the world. By working together, the two companies are creating solutions that make cities smarter and more efficient by taking sensor data and processing it in real-time to provide insights for traffic congestion, pedestrian flow, and infrastructure maintenance.
Running on top of the NVIDIA EGX platform with the NVIDIA GPU Operator, the application is built with NVIDIA’s Metropolis application framework for IoT that brings together innovative capabilities for real-time image processing where NVIDIA DeepStream SDK is used to extract metadata from live video streams at the edge. It then forwards the right metadata to the cloud for deeper analytical processing and further representation in an information dashboard depicted below.
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In this video from the 2018 Red Hat Summit, Dan Walsh and Mrunal Patel lead a journey through a set of next generation tools for creating, deploying, and maintaining containers.
This journey covers tools such as CRI-O, Buildah, and Skopeo, which are being developed with other tools by Red Hat and the community into a complete toolchain for developing, operating, and maintaining Open Container Initiative (OCI)-compliant containers.
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The challenges of maintaining persistent storage in environments that are anything but persistent should not be taken lightly. My recent conversation with Ceph founder Sage Weil certainly made that clear. Thus far, the conversation with Sage has highlighted key areas of focus for the Red Hat Storage team as they look to the horizon, including how storage plans are affected by:
- Hardware trends (examined in Part 1)
- Software platforms (reviewed in Part 2)
- Multi-cloud and hybrid cloud (discussed in Part 3)
In the last segment of our interview, Sage focused on technology that’s very much on the horizon: the emerging workloads. Specifically, how will storage work in a world where artificial intelligence and machine learning begins to shape software, hardware, and networking architecture?
Continue reading “The Future of Storage in Container Space: Part 4”
It was not that long ago when organizations had in-house servers humming along running applications and storing data. Today, the opportunity afforded by containers means that applications can now live on a cloud platform (either public or private), or one of several available cloud platforms.
But while applications and microservices housed in stateless containers are easy to move from place to place (indeed, that’s a big part of the appeal of containers), the data the applications are accessing are stateful and very, very difficult to relocate while still maintaining consistency, latency, and throughput. This is one of the challenges faced by the Red Hat Storage team, and addressed by Sage Weil in his recent presentation at Red Hat Summit: maintaining data availability with acceptable latency when working with applications in multi-cloud and hybrid cloud environments.
Continue reading “The Future of Storage in Container Space: Part 3”
When we look to the future of applications and platforms, we need to keep an eye on the solutions of the past.
That is one of the main theses of Stephanos Bacon, Sr. Director of Portfolio Strategy at Red Hat, in this video from Red Hat Summit 2018, “Clouds Today, Serverless Tomorrow: Your Future Apps and Platforms”:
In order to understand the present situation around the many choices of languages and platforms a developer faces, Stephanos briefly walks through a 25 year year journey of enterprise software development. This journey is one of a “continuous-though-forward-moving cycle”.
This cycle looks back at itself to learn and adapt from the past while moving forward in response to changing market imperatives. While we may need new solutions, we also reach back in time to find seemingly old solutions that address new classes of problems.
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In Part 1 of Now + Next’s closer look at the future of container storage, we examined the beginnings of the storage solution with a look at how hardware trends will affect the way storage and containers will evolve together.
In this installment, Ceph Project Lead Sage Weil continues our conversation, moving “up” the stack to software platforms. Specifically, Sage discusses where container technology is now and where it is going.
Continue reading “The Future of Storage in Container Space: Part 2”
In this video, Director of Product Management for Developer Tools Brad Micklea talks through ten trends Red Hat is investing in that are already reshaping the developer experience.
The idea of software development as a major creative source for innovation has emerged in recent decades. During most of that time for the people writing code and running it in production, instead of being deep in the act of painting a masterpiece, they have had to spend too much time building and cleaning brushes.
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The rise of container technology has created a new challenge for the storage industry. Within containers, applications, and computation resources are now incredibly mobile, while storage still has to remain persistent and accessible. Here’s how Red Hat is working to address the storage needs of container workloads.
In modern microservice-based architectures, each container is a transient object. It might live on one server for a while and then get moved over to another if directed by an orchestrator tool. While a container keeps its bundle of application software and dependencies during its lifecycle, it usually does not keep application data within the container. Nor should it. After all, in this model a container is designed to run only what is needed and when it is needed. When done, the container is allowed (in fact encouraged) to disappear. If an application’s data were held inside that same application container, too, then pfft!
That’s a challenge.
Continue reading “The Future of Storage in Container Space: Part 1”