Learn more about data agility for application development, specifically the real world challenges for test data management in the hybrid cloud architecture. This webinar also explores DataOps practices that increase efficiency of CI/CD workflows in this model.
Presented by:
Organizations today are adopting cloud-based applications, platforms, and services to achieve greater elasticity and faster delivery times in today’s app-driven world.
As the name suggests, adopting a multi-cloud strategy means using multiple cloud services from different providers, with workloads spread out across cloud environments. While most businesses require rapid and flexible access to computing, storage, and networking resources, not all enterprises are pursuing multi-cloud for the same reasons.
Of course, not every team, business function, or application workload will have similar requirements in regards to performance, privacy, security, or geographic reach for its cloud environments. Whatever the impetus, companies must build a culture that puts data front and center in a world where every company is becoming a data company. This leads us to our main points: understanding key data challenges and getting your data ready for multi-cloud environments.
Sometimes talking to your development team can be difficult. You might be asking a lot from them with a limited budget, maintenance of existing systems, and tight deadlines. While you empower your developers to constantly learn new technologies and approaches, give them the tools that they need to be successful, the myriad of new information can be daunting. Check out these 5 questions for your app dev team to gauge how moving to containers and containerized application services and middleware can help them become more productive and efficient.
To succeed in an increasingly competitive market, educational publishing company Scholastic decided to adopt a more flexible microservices-based development approach to offer new products and services faster. To take advantage of a supported Kubernetes container platform, the company chose to deploy Red Hat OpenShift ContainerPlatform on Amazon Web Services (AWS). This new environment lets developers reuse microservices to more efficiently build new services, with less focus on management and provisioning. Scholastic has not only cut its time to market in half, from months to weeks, but also improved its scalability and availability in response to shifting demand.
It can be difficult to bring new solutions to your boss. You’re bumping up against budget, security, and the task of maintaining existing systems, and management is just trying to keep things up and running. Here are 5 key points to bring to your boss about developing applications and microservices using containers and enterprise Kubernetes to increase your rate of innovation and competitiveness.
Ford Motor Company seeks to provide mobility solutions at accessible prices to its customers, including dealerships and parts distributors who sell to a variety of retail and commercial consumers.To speed delivery and simplify maintenance, the company sought to create a container-based application platform to modernize its legacy stateful applications and optimize its hardware use. With this platform, based on Red Hat OpenShift and supported by Red Hat and Sysdig technology, Ford has improved developer productivity, enhanced its security and compliance approach, and optimized its hardware use to improve operating costs. Now, the company can focus on exploring new ways to innovate, from big data to machine learning and artificial intelligence.
Legacy applications are not typically considered for public cloud deployments because of security, regulatory, data locality, or performance concerns. Containers make many of the services offered by public cloud providers possible and help increase automation.Migrating legacy applications to containers removes barriers to modernization. Red Hat® OpenShift® helps organizations complete this migration, letting them respond better to changing business demands. Read this brief to learn more.
Red Hat® Advanced Cluster Management for Kubernetes offers end-to-end management visibility and control to manage your cluster and application life cycle, along with security and compliance of your entire Kubernetes domain across multiple data centers and public clouds. Check out this data sheet to learn more.
Learn more about data agility for application development, specifically the real world challenges for test data management in the hybrid cloud architecture. This webinar also explores DataOps practices that increase efficiency of CI/CD workflows in this model.
Presented by:
Organizations today are adopting cloud-based applications, platforms, and services to achieve greater elasticity and faster delivery times in today’s app-driven world.
As the name suggests, adopting a multi-cloud strategy means using multiple cloud services from different providers, with workloads spread out across cloud environments. While most businesses require rapid and flexible access to computing, storage, and networking resources, not all enterprises are pursuing multi-cloud for the same reasons.
Of course, not every team, business function, or application workload will have similar requirements in regards to performance, privacy, security, or geographic reach for its cloud environments. Whatever the impetus, companies must build a culture that puts data front and center in a world where every company is becoming a data company. This leads us to our main points: understanding key data challenges and getting your data ready for multi-cloud environments.
An estimated 15 billion devices run Java™ worldwide . Until January 2019, no one had to pay for access to a current Java Virtual Machine (JVM), but Oracle implemented a significant change to its release cadence and support model. Oracle JDK is no longer free for production workloads and patches, leaving organizations with a choice to either pay Oracle for continued production support and updates for Oracle JDK, adopt OpenJDK and upgrade every six months, or migrate to an alternative OpenJDK implementation.
Learn how the Red Hat build of OpenJDK can help you develop, test, and deploy Java workloads in Windows or Linux-based environments.
Businesses differentiate by delivering extraordinary experiences to their customers, and today those experiences are driven by applications that quickly evolve to meet their needs. Once deployed, these applications must be portable, secure, easy to scale, and simple to manage. Organizations are turning to containers and Kubernetes to meet these needs. To quickly deliver new applications or to containerize and migrate existing ones to the cloud, they need a trusted platform to build upon.
Develop, deploy, and manage existing and container-based applications seamlessly across physical, virtual, and public cloud infrastructures. Learn how Red Hat OpenShift Container Platform can help.
Creating customer value depends upon your ability to develop, deploy, and run high quality applications faster across any cloud. Applications need to be cloud-native by default. Learn how to position your business for hybrid cloud success.
Download our e-book, Cloud-native meets hybrid cloud: A strategy guide.
Cloud-native application development is a key part of open transformation and can help you compete in a digital world. By focusing on technology, processes, and people, you can deploy innovative, open approaches that support business agility, transformation, and success. Align your cloud technology with your business needs.
This open transformation can help you further accelerate innovation and customer engagement. Combining open processes and culture with cloud-native applications development approaches can create lasting improvement in your organization. You can also deliver more value to customers and gain many benefits for your organization.
When thinking about migrating applications into containers, there are three main high-level strategies: lift and shift, augment, and rewrite.
No matter which method you choose, it is important to recognize that most software was designed and written before modern, image-based containers were invented. Even if you choose the “lift and shift” method, where you might run a monolithic application inside a single container, it is likely that your application will need to be modified. To successfully move to containers, you will need a solid migration strategy that takes into account the needs of your applications and the nature of Linux® containers.