5 Challenges Successful Cloud Migration Projects Overcome
Cloud is the lynchpin for any change management initiative and the first step to transforming the legacy paradigm. It helps organizations access the benefits of scalability and agility at every point. 2018 is shaping out to be a breakout year for cloud adoption. However, the pathway to moving applications to cloud or adopting cloud-based technologies is not straightforward and technology integration is the top obstacle. The assemblage of IT complexity deeply impacts the ROI and prevents organizations from reaching the business benefits.
As an application leader, you need to cross-manage several things running parallel. There will be several things to evaluate and consider for staying at the top. Envision a strategy beforehand to prevent time, money and resources from spilling into a drain.
In this blog, we will discuss some pitfalls that you need to avoid while executing cloud-based initiatives:
Infrastructure Silos
Finding & deploying third-party cloud applications in multiple places is easy, but managing the assemblage of computational networks can be daunting. The outgrowth of SaaS (Software as a Service) applications, legacy systems, and smart machines in an IT environment can do more harm than good. This proliferation presents an uncanny verisimilitude of infrastructure silos sprawling across the organizational IT. You need to break out from these silos for accessing overarching cloud benefits.
The big trick to break down these silos is factoring an iPaaS integration tool in the cloud adoption strategy. An end-to-end iPaas cloud integration tool can deliver greater control over your IT, eliminate multiple sources of truth, accelerate the speed of business, and streamline data interchange.
Security Threats
Cloud-based applications have different security needs than conventional stove-piped applications and they can be exploited in all delivery models. There is a huge possibility that the data fabric and information that you are hosting is providing a new attack surface. Threat actors masquerading as business users can make use of your data for financial or competitive gains. Such data breaches and vulnerabilities can not only thwart the cloud adoption but also sidetrack the core business from operating.
Before rushing to adopt new technologies, a due diligence of potential risks should be conducted. Your organization will need a robust API policy in place to protect against intrusions and malicious attacks. It’s time that you adopt a layered approach of security arrangements and business continuity plans for safely shifting the sensitive data.
Lack of Clarity on Legacy System
What is a legacy system? IT leaders confabulate to answer this question. Certainly, there is not one single definition to reach a conjuncture. Your cloud success will require a reckoning to answer this question. To simplify this part, you can use three factors for defining a legacy system.
Any software portfolio, which is on-premise, not supported by the vendor, or lying obsolete is a legacy system. These factors also cover monolithic architectures that slow down the operational efficiency. The best practice is preparing business cases and use cases and getting a broader view of legacy architectures. Replacing these legacy systems can help companies in accessing overarching business benefits downstream.
Related Serach: Combating Top 5 Legacy System Integration Challenges
Yesterday’s Approaches to Cloud Adoption
Organizations want to take their applications to the new world but with same old practices. It should be remembered that Cloud adoption is not a simple one-time ‘lift and shift’ approach. There can be blowbacks of using outdated team models for moving applications to the cloud. In waterfall methodologies, developers develop something and send that to the testing team for validation. The testing team raises flags and sends them back to the development team. During these cycle runs, the most precious thing to enterprises, time, is lost in abeyance.
A swifter approach to spur cloud adoption is DevOps. Sadly, the concepts are still new to many organizations. In this approach, cross-functional, development and testing teams work in tandem for faster software delivery. Every team member has a clear idea of who is working on what and what needs to be achieved.
If your organization is new to the DevOps culture, then you should take small steps before embracing it, More importantly, you should loop in all departments to explain new ways of working with it. The DevOps teams with the right tooling, team structure, and knowledge can make the cloud adoption fast and smooth.
Data Loads and Latency Issues
One of those pangs, which you need to avoid during cloud migration. Data loads and downtime issues restrain the team’s ability to play effectively. Debilitating data loads triggered by petabyte-scale data warehouses slow down the deployments and it can be fatal to undermine them. Lack of tooling is a potential barrier to cloud success. Data audits and code amendments can reduce data loads and latency issues by nearly 80%.
Smarter companies arm themselves with specialized data integration tools for simplifying data processing. A right tool delivers dynamic capabilities for start-to-end data extract and de-duplication. These features ensure that not a single piece of information is left behind.
Success with cloud computing ultimately depends upon how it is viewed. It is not a one time lift and shift process. It is a continuous process where more disruptive trends will take place to shake up the vision. The wheel of cloud first strategy should be reinvented over again and again to stay ahead of the curve.
We hope you found the promoted post as informative and entertaining as we did!
