Lately, enterprises are moving towards a hybrid solution that offers the best of both worlds. A hybrid cloud setup combines two infrastructures like a private cloud with one or more public cloud further enabling communication between each distinct service. To maximize returns, a hybrid cloud strategy equips the enterprise with greater flexibility and control by moving workloads between clouds as costs and resources fluctuate.

Edge computing is gaining huge momentum lately, and with the onset of 5G, the opportunities are endless. Moreover, it ensures or brings computation and data storage closer to where the data is generated, further enables better control, reduces costs, provides faster and actionable insights, and supports continuous operations. In fact, by 2025, 75% of enterprise data will be processed at the edge, compared to only 10% today, as predicted by Gartner.

Thinking of migrating applications to cloud through a lift and shift approach? It could be a time to rethink your plan and take control of your migration journey, in a secure way. According to Markets and Markets, the global application modernization services market size is expected to grow from USD 11.4 billion in 2020 to USD 24.8 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 16.8% during the forecast period. And the numbers are not stopping there!

Firstly, super excited to share that CloudHedge has successfully completed the IBM Cloud Paks certification, IBM has some stringent requirements for achieving this certification which includes having an Operator certified product listed on Red Hat Marketplace. CloudHedge’s intelligent App Modernization Platform enables enterprise customers to transform their legacy workloads to OpenShift container platform efficiently and effortlessly.

IBM’s AIX operating system has powered zillion mission-critical applications for over three decades, providing enterprise applications the edge to do more. And, let’s not forget that a huge chunk of BFSI applications is still nesting on AIX within their own data centers due to its security, performance, and reliability.

In my last post (read here), we saw how CloudHedge enables enterprises to execute the transformation of WebSphere ND on Linux Apps to WebSphere Liberty Container in a non-intrusive way. As an addition to the previous post, this one talks about transforming WebSphere ND on AIX to WebSphere Liberty containers using CloudHedge’s App Modernization platform.

App Modernization is the way forward, especially when you have hundreds of enterprise WebSphere applications nesting on AIX. These applications are age-old, heavy, and expensive to manage and modernize. This causes a huge roadblock especially when your business is growing and your apps need to be scalable, cost-efficient to run and should be highly available. CloudHedge removes the major barrier to AIX WebSphere containerization using the Automated Application Modernization Platform.

CloudHedge Transform provides the user with the option of modifying the data that goes into the container. It uses the data gathered from the X-Ray, a part of the CloudHedge Discover module that has been performed on the process. Using the Transform Platform, the user can currently: The Edit Dockerfile feature can be used to: And the File Selection feature can be used to.

Thank you for reading my last blog on how to modernize age-old applications using automation. Let’s take a closer look at the available automated tools and explore the insights they extract to speed up app modernization. Assessment and Analysis The automation tool for application assessment should: There are free tools provided by cloud service providers, however, they focus more on infra (VMs and Bare Metal) and don’t focus on applications and databases (aspects mentioned above).

Automation and adoption of cloud (public and/or private) are the two key components for the success of Digital Transformation. Automation has been synonymous with the agility and scalability of applications and infrastructure. DevOps ensures quick release of apps all the way from development to test to the stage to production. Cloud ensures quick allocation of resources (Compute, Memory, Storage, Network, etc.) for the applications.