Cloud computing has revolutionized business operations, and is becoming the nearly universal adopted model for IT infrastructure. In fact, the 2018 State of the Cloud survey found that 96% of organizations use cloud services in some form or another, providing today’s organizations with a host of benefits, including greatly reduced operational costs and increased inter-connectivity via a secured network.
However, moving from mainframe to cloud presents a variety of challenges, and many organizations still rely heavily on legacy mainframe systems and outdated technologies for a large portion of their operations. Below we’ll outline a few of the more common challenges related to full scale cloud adoption, while also providing other some potential solutions.
Cloud migration allows for increased business agility and quick information processing, but such fluidity of data can possibly expose sensitive information to the malware infections and other cyber-security threats. And unlike mainframe infrastructures which are managed onsite, Cloud servers are hosted in the digital sphere, possibly making critical data more vulnerable. There’s also the risk of losing data transparency and control when the debugging is performed by an external organisation.
Cloud security involves creating a strategic and end-to-end approach that brings together policy, detection, and enforcement. Implementation of security measures such as detecting and analyzing compromised files, identifying and isolating unknown malware. Additionally, educating employees on potential cyber-security threats like phishing can help safeguard your business as well.
2. Risk of Data Loss
Cloud computing and migration presents concerns related to data loss as well. Outages can occur, and risks become more prevalent as more and more data is uploaded to public servers. A 2014 analysis published by Elevated Tech found 95% of companies experienced some kind of data outage within the last year. Data loss primarily occurs due to systems malfunctions and data mapping, but can also be the result of human error, too.
Organizations can still utilize mainframes for storage of crucial data, while also modernizing certain business processes for the cloud. DB2 Database, for instance, are often used to backup data and record daily transactions. Data loss can be mitigated by utilizing mainframes when necessary. … part from that implementing disaster recovery measures or having a backup data can mitigate the risk of data loss.
Due to largely obsolete technology, mainframes and legacy systems do not typically offer long-term scalability. Additionally the talent needed to manage these systems is becoming increasingly difficult to find. COBOL developers, for instance, are retiring at an exponential rate, and a lot of computer programming curriculum’s no longer teach mainframe skills and technologies. Cloud migration offers a solution, but IT decisions-makers still need to do extensive research, and carefully evaluate the various cloud computing technologies to see what will and what won’t work for their organization.
Certain cloud solutions and services work better for certain industries and organizations. Certain technologies are more applicable to financial intuitions and loan service providers, while healthcare providers may elect a different option. The point is not all cloud services work for all businesses, CIO’s having to conduct a detailed analysis of the various services to ensure which technologies will provide long-term compatibility. Working with different departments within your organization and checking with service providers to see if software’s can be reinstalled or upgraded can minimize the compatibility issues.