“A pragmatic holistic approach to hybrid cloud can drive immense business value by initiating innovation, improving cost efficiency, and increasing productivity,” says Mr. Viswanath Ramaswamy, Vice President, Technology, IBM Technology Sales.
He is not alone. When a survey was carried out among 200 C-executives, it was found that more than 80℅ of the CIOs have already started building their infra with a hybrid cloud architecture, half of them hosting their workloads on Microsoft Azure. With the world heading towards a connected future, hybrid cloud is rewriting the future of Industry 4.0 through customizability, connection to edge, hyper availability between private and public clouds, seamless migrations from on prem to public cloud etc. As companies are edging towards advancing their digital transformation initiatives, there are trends that are shaping up hybrid cloud innovations.
This blog handpicks 8 hybrid cloud computing trends. Let's read along.
Embrace a Fool-proof Migration toHybrid Cloud with a comprehensive checklist. Read the blog
Staying in the Vanguard: Explore these 8 Hybrid Cloud Trends Reinventing Business Transformations
Control Planes Sees a Huge Surge
As hybrid cloud environments are growing in complexity, it is essential for CIOs to capitalize on control planes to streamline scalability and agility with security and control. The integration of control planes into open-source projects is getting buzz as these platforms can develop and run cloud-native applications, simplifying cloud resource management. Enterprises can manage their cloud resources across multiple environments safely and flexibly, saving time for developers who can focus on building specialized technologies meeting the changing needs of the IT environments.
Hybrid Edge Computing Gains Fanfare
Today, every enterprise wants to gain an edge over edge computing. According to a survey, 54% of CIOs favored adopting edge computing for addressing AI and infrastructural needs. As companies are viewing edge as an extension of their existing datacenters, hybrid cloud’s flexibility and distributed model of edge computing can help them process real-time data quicker, enabling precise decision-making. It enables real-time computing in locations where internet connectivity is inadequate, minimizing bottlenecks in datacenters and networks that support edge devices. The challenge, however, remains to maintain a constant communication between the hybrid cloud infrastructure and edge devices, which requires organizations to re-evaluate their cloud mix, security, and edge-to-cloud connectivity.
Automation and AI Still Takes the Lead
Automation and AI integration will lead to smart, self-managing hybrid cloud infrastructures as they will help in improving predictive analytics, data management, enhance security, minimize manual errors, and streamline resource allocation. This brings us to the concept of Artificial Intelligence for IT Operations (AIOps). In this process, emerging technologies such as ML, NLP, and AI are used to automate mission-critical tasks such as workload monitoring, performance monitoring, and data backups, improving operational efficiency. However, CIOs have advised to take the integration processes slow. It's better to start with small-scale manageable projects and scale gradually as per the changing business needs.
The GenAI Mania
With the entire tech industry going gaga over the marvels of GenAI, it's a no brainer that organizations are putting thrust on GenAI initiatives. They are turning towards hybrid cloud systems to help them properly capture GenAI benefits and accelerate innovations at zero risk. GenAI LLMs are usually trained on huge datasets which can become challenging to build and train. Instead, hybrid cloud computing architecture comes with pre-trained datasets and compute resources for training AI and LLM models that enables enterprises to roll out products and services at scale. They leverage public clouds for running computationally intensive training tasks while hosting critical workloads and data on private clouds for security and compliance. With hybrid cloud supports the distributed nature of modern applications, LLMs can also be trained and deployed across multiple environments.
What are the Cloud-native Foundations behind the Gen AI revolution? Read the blog
Application Development Becomes Even Easier
The demand for language agnostic, open-source developer platforms can be attributed to one thing: Change. That's right. Be it improving their operations or launching/scaling new applications, these platforms can transform business outcomes. Armed with the capabilities of supporting diverse and complex hybrid cloud architectures and deployments, these developer platforms can seamlessly integrate into the infrastructures, enabling teams to manage applications effortlessly across projects with precision. Modernization tech like microservices and containers make it easy for applications to be run and deployed across multiple environments and landscapes. This makes operating across different clouds or platforms easier. The application layer will become more and more abstracted from the underlying infra and that’s how hybrid cloud architectures will become more agile.
Cybersecurity Becomes More Proactive
As the attack surfaces are expanding, threats are becoming more sophisticated and advanced. With threat actors banking on emerging tech to launch smart attacks, it is imperative to beat them at their own game. Adopting hybrid cloud security architecture is one way to tackle the growing menace of cyberattacks. Using more than one cloud secures the company from the concentrated risk of a single security services provider. Every cloud services provider comes with their own security infra and protocols. If one cloud services provider gets exposed to a security breach, the impact is limited to only the applications hosted with that provider, rather than impacting the overall infrastructure. For most CIOs, building cyber resilience has become their top priority to push forward their digital transformation goals without compromising on security.
AI Data Governance Makes Steady Strides
Data governance has become more important than ever. With AI and ML making the noise, the challenge lies in creating a solid foundation for adopting these technologies risk-free. Implementing a holistic strategic data governance approach can maximize the full potential of AI-based systems, ensuring data accessibility, security, and integrity across hybrid cloud architecture.
Mainframe Still Grabs the Spotlight
Mainframe was, is, and will remain a crucial component for hybrid cloud systems. Built with the innate capability of processing large volumes of data and transactions, it's useful for regulated and data-intensive industries such as healthcare and BFSI. Businesses need to seamlessly embed mainframes into their existing systems, creating a robust hybrid cloud network architecture that harnesses the power of both private and public cloud.
Connected Intelligence is Reshaping Future
From retail, supply chain, to education, entertainment- connected intelligence is touching every sphere of industry, shaping next-gen connectivity and productivity. Hybrid cloud models offer access to technologies such as ML and AI without having to change the existing infra, boosting productivity and rightsizing resources to bolster app development and their delivery.
Strategies to Implement a Hybrid Cloud Approach: Read the blog
Build your Modern IT Architecture on Hybrid Cloud with Cloud4C
2024 may seem like the year of hybrid cloud. With CIOs waking up to the transformative power of hybrid cloud computing, it depends on organizations how efficiently they can leverage these hybrid cloud trends to foster innovation and deliver business value. Because sooner or later, the future will become hybrid. Cloud4C, a leading managed services provider, has set a global benchmark against delivering end-to-end enterprise hybrid cloud architecture solutions and services, charting out 4000+ successful cloud transformation stories across the globe.
Holding a strong presence across APAC, MENA, and Global North regions for 12 years, Cloud4C stands out from the rest of its counterparts as it provides benefits such as
- Design hybrid cloud from AWS, Azure, GCP, OCI, IBM public cloud solution with DevOps tools, SAP ERP, SAP S/4HANA applications to transform IT operations
- Deploy Cloud4C Self-Healing Operations Platform (SHOPTM), an universal, intelligent, and fully automated platform that streamlines private and public cloud resources, on-prem workloads end-to-end from a single pane of glass.
- Our advanced cybersecurity portfoliothat consists of incident management, deep threat hunting-discovery-remediation, endpoint risk management, threat intelligence, to safeguard applications in the hybrid ecosystem.
- Ensures compliance across all cloud and backend assets, data privacy-sovereignty, and auto Disaster Recovery with local/in-country datacenter hosting.
- Deploy, manage, and scale containerized applications in hybrid cloud without complex configurations.
Offering a comprehensive hybrid and multicloud solution suite, our experts ensure that you advance your business transformation goals and modernize your IT for unprecedented agility and scalability; be it on any cloud platform, of any size and complexity.
Want to grow your business on a hybrid cloud? Unsure of where and how to start? Get in touch with one of our representatives or visit our website at www.cloud4c.com
