Through elasticity, increased agility and pay-as-you-go models, the cloud offers a true utility model for information technology (IT) services. While the benefits are compelling, applications that rely on legacy technology are not readily portable to the cloud. To overcome this shortcoming, migrating these applications requires use of one of the 5 Gartner Rs: re-host, refactor, revise, rebuild or replace. Despite the adoption of these strategies, the process of migration to the cloud makes customers heavily dependent on the cloud service providers (CSPs). Many enterprises feel compelled to do what they consider "safe" -- entering the cloud by single sourcing to one of the well-known giant cloud service providers at punitive costs.
In this course, we would explore various Cloud Migration tools and services available on Microsoft Azure Cloud Platform. We will learn what are the various kinds of Migrations including Database Migration, Physical Migration from On-Premise Data Center to the Cloud, from Cloud to On-Premise, between different cloud vendors such as Microsoft Azure, Amazon Web Services (AWS), IBM Bluemix, etc. We would also explore Recovery and Backup options with Site Recovery. Throughout the course we would cover following Migration services offered by Microsoft Azure- Site Recovery, Database Migration, Azure Migrate, DataBox, Data Box edge and Data Gateway. We would be learning concepts and methodologies with practical exercises.
Oracle on Tuesday unveiled a new package of tools and services called Oracle Soar, designed to help customers migrate applications to the cloud. Oracle Soar combines a set of automated migration tools with professional services, all provided by Oracle -- a complete, in-house solution for migration. The semi-automated solution fits in with Oracle's recent efforts to stand apart from other cloud providers with more automated services. The company says that by using Oracle Soar, rather than a more piecemeal approach to migration, customers can see cost savings of up to 30 percent. It also says it can save customers up to 30 percent in time, with the simplest migrations taking as little as 20 weeks.
The impact the cloud is having on big data and advanced analytics is shocking. We've hit a go public or go home situation – and while many enterprises I've spoken to about this migration are still on the fence, they understand they need to invest in more public cloud to engage with empowered customers. The problem is many are struggling with organizational momentum and regulatory issues that often manifest in technical objections that don't hold water. Public cloud was the number one priority for big data in 2016. Because firms are running into a cost wall as they scale out their one premise infrastructures.
As the world evolves to deal with the changes fraught by the COVID-19 pandemic, the existing business operating models –from supply chains to distribution –are being redesigned to attain new levels of resilience, agility, productivity, and secure end-user reach. Underpinning this transition is cloud technology, that has become the key enabler in reshaping the business ecosystem.This is even more so in the recent years as it has evolved rapidly, becoming more reliable, scalable, and flexible over the past few years. While cloud-based solutions were already in play, pandemic-induced acceleration in adoption has brought over the fence sitters and the slow adopters. In fact, Forrester Research expects the global cloud computing market size to grow from USD 371.4 billion in 2020 to USD 832.1 billion by 2025, with the global public cloud infrastructure market estimated to grow by 35% to USD 120 billion in 2021. Migrating critical services from on-premises and collocated hardware to cloud enables organizations to manage their IT infrastructure remotely without having to deal with the challenges of security, hardware procurement, and software updates.