July 2024

What is multi-cloud?

Gartner predicts that by 2026, 75% of organizations will adopt a digital transformation model predicated on cloud as the fundamental underlying platform.

Multi-cloud refers to the use of multiple cloud computing services in a single heterogeneous architecture. This strategy allows organizations to leverage the strengths and benefits of various cloud service providers, avoiding vendor lock-in, and increasing flexibility and resilience. Multi-cloud environments can include combinations of public clouds, private clouds, and hybrid clouds, enabling businesses to optimize their workloads based on performance, cost, and regulatory requirements.

Differences between multi-cloud vs hybrid cloud vs private cloud vs public cloud

Benefits of multi-cloud

Multi-cloud architecture offers following benefits:

Cloud-native application development in a multi-cloud environment enables organizations to develop and deploy applications faster. It also helps organizations achieve business agility and improve their responsiveness to change. – IDC Insights

1. Flexibility and Choice: One of the primary benefits of a multi-cloud strategy is flexibility. Organizations can choose the best services and solutions from various providers to meet their specific needs. This flexibility extends to pricing, as businesses can select services that offer the most cost-effective solutions.
2. Avoiding Vendor Lock-In: Relying on a single cloud provider can lead to vendor lock-in, making it difficult to switch providers without significant cost and disruption. A multi-cloud approach mitigates this risk by distributing workloads across multiple providers. This strategy ensures that if one provider’s service becomes unsatisfactory, the organization can easily transition to another.
3. Resilience and Redundancy: Using multiple cloud providers enhances an organization’s resilience and redundancy. If one provider experiences an outage or service disruption, workloads can be shifted to another provider, minimizing downtime and maintaining business continuity.
4. Optimized Performance: Different cloud providers have varying strengths and weaknesses. By leveraging a multi-cloud strategy, organizations can optimize performance by deploying workloads on the most suitable platforms. For instance, one provider might offer superior data analytics tools, while another excels in AI and machine learning capabilities.
5. Compliance and Data Sovereignty: In today’s regulatory environment, data compliance and sovereignty are critical. Multi-cloud allows organizations to store and process data in specific geographic regions to comply with local regulations. This flexibility helps businesses meet data governance requirements more efficiently.

IDC predicts spending on cloud infrastructure will be reaching $213.7 billion in 2028 and accounting for 75.0 percent of total compute and storage infrastructure spend.

Challenges of multi-cloud

Despite numerous benefits of working with multiple cloud models, it has some limitations.

1. Complexity in Management: Managing multiple cloud environments can be complex and require specialized skills. Organizations must handle different interfaces, management consoles, and service agreements, which can lead to increased administrative overhead. Effective management tools and strategies are necessary to streamline operations across diverse platforms.
2. Security Risks: While multi-cloud can enhance security through redundancy, it also introduces potential vulnerabilities. Each additional cloud provider increases the attack surface, and ensuring consistent security policies across multiple environments can be challenging. Organizations must implement robust security measures and maintain vigilance to protect their data.
3. Cost Management: Multi-cloud environments can lead to cost overruns if not managed properly. Different pricing models and billing structures from various providers can complicate budgeting and financial planning. Organizations need comprehensive cost management tools to track and optimize their cloud spending effectively.
4. Integration and Interoperability: Integrating and ensuring interoperability between different cloud platforms can be challenging. Data transfer, application compatibility, and service integration must be carefully managed to avoid issues. Organizations often need middleware and integration platforms to facilitate seamless operation across multiple clouds.
5. Vendor Relationship Management: Dealing with multiple cloud providers requires effective vendor relationship management. Organizations must negotiate contracts, manage service-level agreements (SLAs), and resolve issues with each provider. This complexity can strain resources and requires a strategic approach to vendor management.

Conclusion

Multi-cloud offers significant advantages, including flexibility, resilience, and optimized performance, making it an attractive strategy for modern organizations. To successfully implement a multi-cloud strategy, organizations must invest in robust management tools, develop comprehensive security policies, and maintain effective vendor relationships. With careful planning and execution, the benefits of multi-cloud can outweigh the challenges, enabling businesses to achieve greater agility, scalability, and innovation in their IT operations.

Looking to adopt a cloud-native architecture for your business? Enable increased connectivity, scalability and superior customer experiences with a dedicated cloud-native application development team from Prolifics!

Talk to Prolifics experts to integrate with multi-cloud environment.

In today’s rapidly evolving digital landscape, cloud migration has become a strategic imperative for businesses aiming to stay competitive and innovative. Migrating to the cloud offers numerous benefits, including cost savings, scalability, flexibility, and enhanced security. However, the journey to the cloud can be complex and daunting. This is where Prolifics steps in, offering unparalleled expertise and cutting-edge solutions to ensure a smooth and successful cloud migration.

What is cloud migration?

Cloud migration is the process of moving data, applications and workloads from an on-premises data center to a cloud-based infrastructure. 

According to the Forrester study, 89% of respondents agreed that automation is important to operationalizing multi-cloud infrastructure, and Automation is helping to optimize cost and scale operations.

Key Benefits of Cloud Migration

Cloud migration involves moving data, applications, and IT processes from on-premises or legacy infrastructure to cloud-based environments. This transition allows organizations to leverage the full potential of cloud computing, driving business transformation and growth.

• Scalability and Flexibility: Easily scale resources up or down based on demand, ensuring optimal performance and cost efficiency.
• Enhanced Security: Benefit from robust security measures and compliance standards offered by leading cloud providers.
• Business Continuity: Ensure high availability and disaster recovery capabilities, minimizing downtime and data loss.
• Innovation and Agility: Accelerate time-to-market for new applications and services, fostering innovation and business agility.

 Key Technologies Driving Cloud Migration 

Successful cloud migration relies on a variety of technologies and services, each playing a crucial role in the process. Here are some of the key technologies driving cloud migration:

• Infrastructure as a Service (IaaS): IaaS provides virtualized computing resources over the internet, allowing businesses to run their applications without the need for physical servers. Leading IaaS providers include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).
• Platform as a Service (PaaS): PaaS offers a complete development and deployment environment in the cloud, simplifying the process of building, testing, and deploying applications. Popular PaaS solutions include AWS Elastic Beanstalk, Azure App Service, and Google App Engine.
• Software as a Service (SaaS): SaaS delivers software applications over the internet on a subscription basis. This model eliminates the need for installation and maintenance, providing users with easy access to software from any device. Notable SaaS providers include Salesforce, Microsoft Office 365, and Slack.
• Containerization and Orchestration: Containers, such as Docker, package applications and their dependencies, ensuring consistent performance across environments. Kubernetes, an open-source orchestration platform, automates the deployment, scaling, and management of containerized applications.
• Serverless Computing: Serverless computing allows developers to build and run applications without managing servers. Services like AWS Lambda, Azure Functions, and Google Cloud Functions automatically scale based on demand, optimizing resource usage and reducing costs.

Gartner predicts 60% of data center infrastructure teams will have relevant automation and cloud skills by 2027.

How Prolifics Can Help You in Cloud Migration

At Prolifics, we understand that each organization’s cloud migration journey is unique. Our comprehensive suite of services and solutions is designed to address the specific needs and challenges of your business, ensuring a seamless transition to the cloud.

• Strategic Planning and Assessment: We begin with a thorough assessment of your existing infrastructure, applications, and business objectives. Our experts develop a tailored cloud migration strategy that aligns with your goals, ensuring a clear roadmap for success.
• Cloud Architecture and Design: Our team designs a robust cloud architecture that maximizes performance, security, and scalability. We leverage best practices and industry standards to create a solution that meets your unique requirements.
• Migration and Implementation: Prolifics handles the entire migration process, from data transfer and application rehosting to replat forming and refactoring. We ensure minimal disruption to your operations, maintaining data integrity and availability throughout the transition.
• Optimization and Management: Post-migration, we provide ongoing optimization and management services to ensure your cloud environment continues to deliver maximum value. Our proactive monitoring, maintenance, and support services keep your systems running smoothly and efficiently.
• Security and Compliance: Security is a top priority at Prolifics. We implement comprehensive security measures and ensure compliance with relevant regulations and standards, protecting your data and applications from threats.

Conclusion

Cloud migration is a transformative journey that can propel your business to new heights. With Prolifics as your trusted partner, you can navigate the complexities of this transition with confidence. Our expertise in cloud technologies and commitment to delivering exceptional results ensure your migration is smooth, secure, and successful.

Ready to embark on your cloud migration journey?

Contact Prolifics and discover how we can help you harness the power of the cloud to drive your business forward.

Manta-Prolifics Microsoft Purview Connector (MPP)

Today’s hybrid workspaces require data to be accessed from a plethora of devices, apps and services across the globe. Data governance is not easy. You need a methodology and approach and a strategy to get it right. And lineage is just one piece of the major puzzle that is governance.

The Manta-Prolifics Microsoft Purview (MPP) Connector is designed to enhance the data lineage capabilities for Microsoft Purview customers beyond standard features. It’s created for systems where data lineage isn’t automatically captured and empowers users to leverage Manta for automatic collection of lineage information, without the hassle of custom development.

A recent study by Forrester Consulting highlights that only 42% of organizations have the competence to train Gen AI models, while a massive 89% fail at getting business data ready for Gen AI. Moreover, only 23% of the organizations have implemented a governance plan.

Capabilities of MPP Connector

Seamlessly integrating this data into Purview, MPP offers a comprehensive lineage view, enabling better tracing of data journeys across on-premises, multi-cloud, and software as a service (SaaS) data. Rolling out new capabilities help organizations integrate Manta into their own data governance solutions, including Microsoft Purview, so they can make headway in their digital transformation journeys.

• Enhanced Lineage Integration: Integrate Manta’s sophisticated lineage seamlessly into existing Microsoft Purview solutions.
• Comprehensive Governance Initiatives: Enable comprehensive governance initiatives for improved data management and compliance assurance.
• Unified Lineage Capture: Expand across diverse tech types* (e.g., ETL tools, databases, BI platforms) beyond specific systems like IBM DataStage, SSIS, MS SQL, Power BI, and SSAS. Seamlessly integrate lineage from any Manta-supported source for broader insights compared to Purview alone.
• Deeper Lineage Access: Creates a link back to the detailed lineage viewer in Manta, providing Purview users with access to a more comprehensive lineage view compared to what is provided by the Purview UI.

Key Benefits of MPP Connector

The Manata Purview Microsoft connector serves a critical role in integrating Manta’s advanced data lineage capabilities with Microsoft Azure Purview. Here’s how such a connector typically functions and is utilized:

• Data Lineage Integration: Manta specializes in providing comprehensive data lineage solutions. The connector enables Azure Purview users to leverage Manta’s capabilities for tracking and visualizing data lineage across heterogeneous data environments. This includes understanding how data moves through various systems, applications, and processes.
• Comprehensive Visibility: Get full visibility into data assets and lineage relationships, facilitating improved data quality, compliance assurance, impact analysis, and understanding data architectures for cloud migration.
• Streamlined Governance: Facilitate effective governance initiatives for enhanced data management, contributing to reduced costs and risks while promoting regulatory compliance.
• Scalability: Scale data lineage capabilities to meet evolving organizational needs efficiently, enabling enhanced business agility and adaptability to be changing data environments.
• Enhanced Data Governance: By integrating Manta with Azure Purview, organizations can enhance their data governance initiatives. They gain deeper insights into data flows, dependencies, and transformations, which are crucial for regulatory compliance, data quality management, and risk mitigation.
• Unified Data Management: The integration helps in creating a unified view of metadata and lineage information. This unified view is beneficial for data stewards, analysts, and compliance officers who need accurate and timely insights into data lineage to support decision-making and ensure data integrity.
• Automated Lineage Discovery: Manta’s automated lineage discovery capabilities complement Azure Purview’s data discovery functionalities. The connector automates the discovery of data lineage, reducing manual effort and accelerating the process of understanding how data moves through the organization’s IT landscape.

IDC expects worldwide spending on AI solutions will grow to more than $500 billion in 2027. By 2025, Global 2000 (G2000) organizations will allocate over 40% of their core IT spend to AI-related initiatives, leading to a double-digit increase in the rate of product and process innovations.

Overall, the Manta Prolifics Microsoft Purview Connector represents a collaboration aimed at enhancing data governance and management capabilities by integrating advanced data lineage solutions with Microsoft’s cloud-based data governance platform, Azure Purview. This integration helps organizations achieve greater visibility, control, and compliance over their data assets.

With Manta and Prolifics, you’ll always know what’s happening with your data.

To learn more about how Manta-Prolifics purview connector can enhance data lineage, talk to one of our data experts. 

How to Build Your Own AI App: A Step-by-Step Guide 

Welcome to our comprehensive guide on building your own AI application, derived from our team of experts including Rajesh Gontla and Kartikey Chawla.  This guide will take you through the process from start to finish, helping you transform your idea into a fully functional AI app. 

Introduction 

Creating an AI application might seem daunting, but with the right approach and tools, it becomes manageable and rewarding. This guide will help you understand the key components and steps involved in building an AI app, focusing on a conversational AI assistant as an example. 

Step 1: Understanding the Basics 

Before diving into the coding, it’s essential to grasp the fundamental concepts: 

1. AI Solutions and Technologies: Familiarize yourself with various AI technologies and their business applications. 

1. Use Cases: Identify potential use cases for your AI app to ensure it meets specific business needs. 

Getting You Started, Part 1 – RAG Core 

A quick tutorial to help you get started in building your own RAG-based AI application: 

Step 2: Setting Up Your Environment 

You’ll need to set up your development environment to start building your AI application. Here’s a quick overview of the necessary steps: 

1. Choose Your Tools: Decide whether you’ll use open-source tools like Llama Index or proprietary tools like IBM’s Watson. 
2. Set Up Your IDE: Install an Integrated Development Environment (IDE) such as Visual Studio Code or PyCharm. 

Getting You Started, Part 2 – Assistant UX 

A quick tutorial to help you get started in building your own sophisticated AI assistant: 

Step 3: Building a Conversational AI Bot 

Let’s create a conversational AI bot for a website as our example project. 

Step 3.1: Data Preparation 

Prepare your data, which can be documents, PDFs, or web pages: 

• Document Collection: Gather relevant documents and information. 

• Data Storage: Choose a vector database to store your data, such as Elasticsearch or a local storage solution. 

Step 3.2: Creating the Vector Database 

Create a vector database to facilitate quick and efficient data retrieval: 

• Install Libraries: Use libraries like Llama Index for data processing. 

• Data Loading: Load your documents into the vector database. 

• Embedding and Tokenization: Convert text data into numerical representations for the AI to understand. 

Step 3.3: Developing the AI Model 

Develop the AI model that will interact with the vector database: 

• Model Selection: Choose a pre-trained language model, such as GPT-3 or Watson Assistant. 
• Model Integration: Integrate the model with your application. 

Step 3.4: Building the Chatbot Interface 

Create the user interface for the chatbot: 

• UI Design: Design a user-friendly interface. 
• Backend Integration: Connect the UI to the backend AI model. 

Step 4: Testing and Optimization 

• Testing: Rigorously test your AI application to identify and fix any issues. 
• Optimization: Optimize the application for better performance and user experience. 

Step 5: Deployment 

Deploy your AI application to a live environment: 

• Hosting: Choose a hosting solution, such as AWS, Google Cloud, or IBM Cloud. 
• Launch: Launch your application and monitor its performance. 

Conclusion 

Building your own AI application involves multiple steps, from understanding the basics to deploying the final product. By following this guide and leveraging the tools and techniques discussed, you can create a robust and effective AI app.  

Prolifics offers expert guidance, training, access to advanced tools, and continuous support to help you build and deploy your AI application successfully. Contact us for personalized assistance and leverage our resources and expertise to ensure your project’s success. 

Happy coding!