Case Studies

Transforming a Legacy ERP Platform into a Modern Digital Workplace on AWS

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In today’s fast-paced digital landscape, organizations relying on legacy Enterprise Resource Planning (ERP) systems face significant challenges, including limited scalability, high maintenance costs, and difficulties in supporting remote workforces. Transitioning to a modern, cloud-based infrastructure is essential to address these issues and enhance operational efficiency. This article explores how integrating AWS End-User Computing (EUC) services can facilitate the transformation of legacy ERP platforms into robust digital workplaces.​ Challenges of Legacy ERP Systems Traditional ERP systems often operate on outdated hardware and software architectures, leading to several critical issues:​ Limited Remote Access: Providing secure and efficient remote access to on-premises ERP systems can be complex and costly. Scalability Constraints: Legacy systems may struggle to handle increased workloads, hindering business growth.​ High Maintenance Costs: Maintaining on-premises infrastructure requires significant investment in hardware, software licenses, and specialized personnel.​ Amazon WorkSpaces: A managed, secure Desktop-as-a-Service (DaaS) solution that enables users to access their desktops from anywhere. ​ Amazon AppStream 2.0: A fully managed application streaming service that allows users to securely access desktop applications from any device. ​ Transforming ERP with AWS EUC Services By leveraging AWS EUC services, organizations can modernize their ERP systems effectively:​ Case Study: Successful ERP Modernization Consider a manufacturing company that migrated its legacy ERP system to AWS using Amazon WorkSpaces. Conclusion Modernizing legacy ERP systems with AWS End-User Computing services offers a strategic pathway to creating a flexible, secure, and cost-effective digital workplace. Organizations can overcome the limitations of traditional ERP systems and position themselves for future growth by leveraging AWS’s scalable and reliable infrastructure.​

Cloud Architecture, Cloud Storage, DevOps, Internet of Things, Serverless

Simplify Your Cloud with AWS: ECS vs. EC2

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Amazon Web Services (AWS) offers multiple computing services, including Amazon EC2 and Elastic Container Service (ECS). Each targets different needs for resource management and application deployment. Understanding these distinctions helps organizations align their workloads with the best fit. By contrasting EC2’s full server control and ECS’s simplified container management, teams can balance complexity against convenience. The next sections explore both options and highlight how to decide which is right for each scenario. Amazon EC2 provides virtual servers that users manage much like physical machines. This approach suits applications requiring strict control over the operating system, custom configurations, or legacy integrations. Teams with system administration expertise often prefer EC2 because it grants flexibility in patching, scaling, and software installation. However, this adaptability also brings a higher management overhead. Users handle updates, monitoring, and capacity planning, making EC2 a better match for those ready to oversee the full lifecycle of their environments. AWS ECS, in contrast, focuses on containers and takes away much of the underlying infrastructure. Instead of working with individual servers, teams specify desired container configurations, and ECS automates provisioning, deployment, and scaling. This setup benefits modern, microservices-based architectures that thrive on consistent environments. By integrating with tools like Elastic Load Balancing and AWS IAM, ECS simplifies key tasks such as distributing traffic or applying security policies. With less operational burden, developers can concentrate on delivering features without wrestling with complex infrastructure. The key difference is how much of the server management you handle yourself. EC2 offers infrastructure as a service (IaaS), providing raw computing resources. Alternatively, ECS delivers platform as a service (PaaS) capabilities, taking away much of the underlying infrastructure management. This approach translates to faster deployment cycles and reduced operational complexity with ECS. However, it also means less control over the server environment. For instance, customizing the operating system on an ECS instance is limited compared to the extensive options available with EC2. In conclusion, both AWS ECS and Amazon EC2 are powerful compute services. EC2 provides maximum control and flexibility, ideal for complex or legacy applications. Meanwhile, ECS prioritizes simplicity and scalability, making it an excellent choice for containerized, modern applications. The optimal selection depends on the specific requirements of the application and the desired balance between control and ease of management. Skyloop Cloud helps businesses across EMEA, operating from Istanbul, and Dubai, choose the right AWS compute option. We assess technical requirements, existing workflows, and growth strategies to recommend EC2, ECS, or a hybrid approach. Our AWS Certified experts design migration paths, optimize resource allocation, and offer ongoing support for teams with varied skill levels.

Cloud Architecture, Cloud Migration, Cloud Security, DevOps, machine learning & AI, Serverless

Skyloop Cloud is Huawei Cloud Migration Partner in EMEA

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At Skyloop Cloud, we know that migrating workloads, especially those related to AI, is a major step for any organization. We commit our expertise to guiding you through every detail of your Huawei Cloud migration, from initial assessments to final deployment. Our central aim focuses on simplifying intricate processes and yielding steady outcomes, whether you plan to scale machine learning models or embrace Generative AI in production. Huawei Cloud’s secure infrastructure and flexible services serve as a dependable base for data-driven endeavors. These features often reduce overhead and improve performance in evolving markets that demand rapid insights. Skyloop Cloud creates cloud architectures that respond to unpredictable workloads, such as spikes in AI training or inference requests. We enable automatic scaling to maintain consistent accessibility for users and internal teams. Thanks to our close collaboration with Huawei Cloud experts, we incorporate proven methods that boost security and stability across these setups. We also evaluate data usage patterns to keep costs aligned with shifting resource requirements, an essential factor in AI projects. Our systematic reviews reveal how you can expand your AI footprint or consolidate existing models without excessive spending. Any shift to the cloud brings questions about securing vital data, and this grows in complexity when handling AI assets. Huawei employs encryption and compliance checks that defend sensitive training sets, proprietary algorithms, and user information. Skyloop Cloud strengthens these safeguards with careful risk evaluations and solutions that fit each organization’s workflow. Throughout migration, we map potential issues that could threaten AI integrity, then implement strategies to maintain confidentiality and system uptime. This approach reduces disruption and helps teams focus on their operational goals. By merging safety considerations at each level, we build trust across your business. Did we mention Skyloop Cloud holds Huawei Cloud Migration Partner status? We craft migration blueprints, instruct teams on complex operations, and aim to limit downtime through strategic planning. Our presence extends across EMEA, with offices in London, Istanbul, and Dubai, so you receive local support no matter your location. During your journey, we integrate the needs of each department, including AI-focused units, to make the transition smooth. Our specialists remain available for training, periodic reviews, and future optimizations as AI deployments evolve. Through this direct guidance, you can explore advanced features like Generative AI and machine learning without facing overwhelming technical hurdles. Huawei Cloud’s worldwide network and specialized offerings open up new possibilities for sectors increasingly reliant on AI insights. Skyloop Cloud aims to help you harness those benefits without straining existing systems. We value clear communication, structured timelines, and an ongoing commitment to modern standards. Our experience shows that well-planned migrations, especially for AI applications, lead to sustainable improvements and measurable growth.  We encourage you to discover Huawei Cloud’s capabilities and see how our consistent assistance shapes lasting success. Whether you are refining existing algorithms or venturing into next-generation AI, our cloud certified consultant team stands ready to help. Connect with us to discuss your migration plans and learn how Skyloop Cloud can simplify each stage of your growth.

Cloud Architecture, Cloud Storage, Content Delivery Network, DevOps, Serverless, Software as a Service

Real-Time Data Streaming with Amazon Kinesis Delivery

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Data streams arrive from countless sources nowadays. Organizations often seek ways to process these events quicker. This is how AWS Kinesis Delivery supports near-real-time handling of streaming data, ensuring immediate insights. Its structure allows businesses to capture, analyze, and act upon data as it appears. Let’s take a look at how AWS Kinesis Delivery benefits companies and explains how it can reshape data handling. Additionally, AWS Kinesis Delivery helps unify scattered data points under one platform. This approach simplifies data ingestion from logs, social media updates, and application metrics. Many teams incorporate Kinesis Firehose to archive data into Amazon S3 or Amazon Redshift. By using these options, they can transform raw information into organized records. As a result, analysts can query data more efficiently without waiting for lengthy extraction processes. Furthermore, real-time analytics can guide swift decisions in highly competitive settings. Through Kinesis Analytics, teams can detect anomalies, track usage, and refine their strategies. This alignment with continuous data flow allows for immediate course corrections. Meanwhile, dashboards can display updates the moment data changes, offering better visibility. Such capabilities support faster reactions to market fluctuations. Several AWS Partners hold the Amazon Kinesis Badge, including Skyloop Cloud. We assist organizations with architecture design, data integration, and performance enhancements. Our certified cloud engineers collaborate on blueprint creation, addressing both near-term needs and future organizational goals. In doing so, we minimize disruptions and assure smooth data stream management for our clients. In conclusion, AWS Kinesis Delivery provides a direct path to real-time insights. Its features allow organizations to respond faster to evolving demands. Additionally, it gives data teams an adaptable tool for consistent analysis. As streaming data volumes grow, solutions that enable immediate feedback become essential.

Cloud Architecture, Cloud Migration

Amazon OpenSearch Service is A Game-Changer for Data-Driven Teams

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Managing search and analytics across ever-growing datasets is crucial for organizations of all sizes. Many teams need solutions that combine reliability, speed, and simplicity when searching through millions of documents or application logs. Amazon OpenSearch Service, an AWS offering built on the popular Elasticsearch engine, meets these demands. It helps organizations store, analyze, and search data with minimal complexity. This fully managed service also keeps pace with changing workloads, ensuring a consistent user experience during peak times. Amazon OpenSearch Service provides a managed environment that simplifies complex cluster operations. With built-in security and encryption features, it helps safeguard sensitive data while maintaining swift response times for end users. It also integrates smoothly with other AWS services, including Amazon S3 for storage and Amazon Kinesis for real-time data streaming. This interoperability allows teams to create visual dashboards for instant insights, helping them spot anomalies and trends before they escalate. Moreover, it offers flexible configurations suited for small proofs of concept or enterprise deployments. OpenSearch stands out for its community-driven development, which often mirrors direct user feedback. This collective effort fuels faster improvements and a more dynamic set of features. Many organizations rely on OpenSearch for tasks such as log management, application monitoring, and user-facing searches. It can process large volumes of data while preserving low latency. When integrated properly, it lowers manual effort through automated index management, snapshots, and other maintenance tasks, enabling teams to focus on strategic initiatives. Skyloop Cloud understands the importance of a stable and efficient search infrastructure for modern digital services. We work with organizations to deploy Amazon OpenSearch Service in ways that fit specific objectives, whether they need speedy data ingestion or deeper analytics. Our approach involves architecture reviews, data migration plans, and continuous optimizations, all with an eye on simplicity. By staying current with OpenSearch updates, we can recommend best practices that improve performance and safeguard data. We aim to help companies turn real-time insights into actionable decisions, which supports growth in competitive markets. Amazon OpenSearch Service Delivery provides a clear path for teams seeking powerful search and analytics solutions. Its managed model, combined with easy scaling, creates a strong foundation for data-driven decisions. As demand for meaningful insights grows, reliable and high-performing platforms become indispensable. By choosing AWS certified partners like Skyloop Cloud, organizations position themselves for success when handling large datasets and varied workloads.

Cloud Architecture, Cloud Migration, Cloud Security, Cloud Storage, DevOps, Serverless

How to utilize AWS Systems Manager for Stronger Business Operations

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Businesses seeking efficient methods to manage complex IT environments often encounter obstacles related to resource coordination and oversight. In response, AWS Systems Manager provides a single interface to monitor and control AWS services, bringing much-needed simplicity and clarity. Because modern operations demand agility, this tool allows companies to streamline day-to-day tasks and reduce operational overhead. Moreover, by centralizing information, AWS Systems Manager improves decision-making and fosters greater visibility across various platforms. In this article, we examine the core advantages of AWS Systems Manager and explain how Skyloop Cloud supports its successful implementation. First, AWS Systems Manager eases infrastructure oversight by automating key processes such as software installations, patch management, and configuration updates. These tasks, if done manually, can consume valuable time and expose businesses to human errors. When handled through AWS Systems Manager, they become more reliable and less time-intensive. Additionally, real-time performance insights and data analytics enable companies to identify inefficiencies and maintain consistent service quality. As a result, users can focus on strategic objectives instead of devoting resources to basic maintenance. Second, security and compliance remain essential considerations in any cloud environment. AWS Systems Manager assists organizations in enforcing security controls through centralized governance and compliance checks, allowing them to adhere to internal policies and regulatory requirements with minimal confusion. For instance, it tracks resource configurations, monitors potential deviations, and offers remediation options that help avoid vulnerabilities. Consequently, businesses cut down on the time spent gathering compliance evidence or responding to audits. In doing so, they strengthen their overall security posture without introducing unnecessary complexity. Third, many organizations benefit from expert guidance to optimize AWS Systems Manager for their specific use cases. Skyloop Cloud, with its recognized experience, supports companies by customizing configurations and ensuring smooth adoption of all available features. Because each business has unique requirements, a personalized approach promotes efficient deployments. Furthermore, Skyloop Cloud offers ongoing assistance that addresses configuration challenges, helps automate complex tasks, and fine-tunes cost management strategies. By relying on this kind of specialized support, organizations can reap the full advantages of AWS Systems Manager without prolonged trial and error. In conclusion, AWS Systems Manager presents a comprehensive toolkit for overseeing AWS environments, promoting automation, and enhancing organizational security. With real-time insights, streamlined maintenance, and straightforward governance, businesses can concentrate on growth objectives rather than constant troubleshooting. Moreover, professional partners like Skyloop Cloud offer the know-how necessary to align AWS Systems Manager with varying operational needs. This partnership accelerates cloud adoption, optimizes resource utilization, and bolsters security. Consequently, organizations gain a strategic edge in today’s competitive landscape by embracing AWS Systems Manager and harnessing its many benefits.

Case Studies, machine learning & AI, Serverless, Software as a Service

Upgrade your workforce with our GitHub COPILOT Offer

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GitHub Copilot is an AI-powered code completion tool developed by GitHub and OpenAI. It assists developers by suggesting code snippets and entire functions in real-time as they write code. Through machine learning, it understands the context of the code and provides intelligent suggestions. This accelerates the development process and enhances code quality. For businesses, GitHub Copilot can significantly boost productivity. It reduces the time developers spend on writing boilerplate code and helps maintain coding standards. By providing instant code suggestions, it allows teams to focus on solving complex problems rather than routine tasks. This leads to faster development cycles and more efficient use of resources. Moreover, GitHub Copilot supports multiple programming languages and frameworks. This versatility makes it a valuable tool for diverse development teams. It can aid in onboarding new developers by providing code examples and reducing the learning curve. Businesses can maintain consistency across projects as the AI suggests code that aligns with best practices. At Skyloop Cloud, we recognize the value GitHub Copilot brings to businesses. We offer interested companies a 10% discount when they acquire GitHub Copilot through us. Our team can assist in integrating Copilot into your development workflow and provide support to maximize its benefits. By partnering with us, you enhance your team’s productivity while reducing costs. GitHub Copilot is transforming the way developers write code. For businesses aiming to accelerate their development processes, it is a valuable tool. Skyloop Cloud is here to help you adopt GitHub Copilot effectively. Contact us to learn how you can utilize this AI-powered assistant and take advantage of our exclusive discount.

Cloud Architecture, Cloud Security, Content Delivery Network, Generative AI, machine learning & AI, Media Services, Software as a Service

How to benefit from Generative AI on AWS

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Generative AI has emerged as a transformative force, enabling businesses to automate tasks and uncover fresh opportunities in various industries. At Skyloop Cloud, we guide organizations toward effective use of Amazon’s advanced Gen AI services. Recently, we collaborated with Aktek and Akkök Holding during AWS Cloud Day to highlight the practical benefits of these technologies. Throughout the event, we presented our work in automating content creation and streamlining workflows using AWS. This experience emphasized how cloud-based AI, when planned thoughtfully, can stimulate innovation and drive long-term success. First, Amazon SageMaker provides a comprehensive framework for building, training, and deploying machine learning models. Because it manages the underlying infrastructure, businesses can focus on creating and refining powerful AI solutions. SageMaker offers tools such as SageMaker Studio, which simplifies model development and deployment through an integrated environment. In addition, this platform supports popular machine learning libraries like TensorFlow and PyTorch, ensuring developers have the freedom to choose familiar frameworks. At Skyloop Cloud, we apply SageMaker to help clients bring AI applications to market faster and streamline operational workflows. Second, Amazon Bedrock supplies foundational models that accelerate the creation of Generative AI solutions. These models handle tasks such as natural language processing and computer vision, which often demand considerable resources to develop from scratch. By tailoring Bedrock’s capabilities with each client’s unique data, we reduce training time and optimize performance. Moreover, this flexibility allows companies to adopt Gen AI without facing prohibitive technical hurdles. We work alongside organizations to embed Bedrock within their existing processes, ensuring smooth integration and reliable results that match specific objectives. Third, Amazon Textract automatically converts scanned documents and forms into organized datasets suitable for analysis. This step eliminates the need for manual data entry and paves the way for deeper insights using Generative AI techniques. Many businesses that rely on paper records can now harness previously untapped information to inform decisions or automate processes. In practice, Skyloop Cloud assists clients by configuring Textract to handle large volumes of paper-based data, thereby improving efficiency and cutting error rates. Because these documents become machine-readable, companies can unlock data-driven opportunities that contribute to significant gains in productivity. In conclusion, AWS offers a range of Gen AI services that empower businesses to explore new frontiers in automation, data analysis, and innovation. At Skyloop Cloud, our mission is to ensure clients make the most of Amazon SageMaker, Bedrock, and Textract. By drawing on our implementation experience, we help organizations easily integrate these tools into their projects, from the initial planning phase through final deployment. Our collaboration with industry leaders, such as Aktek and Akkök Holding, demonstrates the real-world impact of these solutions. Ultimately, adopting AWS’s Gen AI services can position businesses to remain competitive, agile, and ready to meet the future head-on.

Cloud Architecture, Cloud Migration, Cloud Security, Cloud Storage, Internet of Things, Serverless, Software as a Service

Cloud Infrastructure Best Practices with Skyloop Cloud

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Efficient cloud operations can significantly reduce expenses, improve performance, and enhance scalability. However, many organizations struggle to fully optimize their cloud environments due to a lack of expertise or resources. As cloud technology evolves rapidly, staying updated with best practices becomes challenging. With this article, let’s explore key strategies for cloud infrastructure optimization. And also discuss how Skyloop Cloud, a certified cloud consultancy, can assist businesses at every step. Firstly, understanding and analyzing your current cloud usage is essential for optimization. Many companies over-provision resources to avoid performance issues, leading to unnecessary costs and resource wastage. By assessing workloads and usage patterns, businesses can find underused assets and adjust accordingly. This process involves analyzing compute instances, storage usage, and network bandwidth to find inefficiencies. At Skyloop Cloud, we perform detailed audits of organizations’ cloud environments. We use advanced monitoring tools to track resource utilization in real time. This ensures that companies only pay for what they actually need and eliminates waste. Secondly, implementing automation and orchestration can greatly enhance operational efficiency and consistency. Automating tasks like deployment and scaling reduces human error. It also frees up IT staff for more strategic initiatives. Orchestration tools help manage complex workflows across multiple cloud services and environments. Skyloop Cloud specializes in integrating automation solutions into existing infrastructures. We assist businesses in adopting technologies like Infrastructure as Code (IaC), which allows infrastructure configurations to be managed using code. WE also help implement Continuous Integration/Continuous Deployment (CI/CD) pipelines, which streamline software delivery and updates. These practices improve efficiency and increase reliability across deployments. Finally, continuous monitoring and proactive optimization are crucial for maintaining optimal performance in a dynamic cloud environment. The cloud landscape is constantly changing due to varying workloads, emerging technologies, and evolving business needs. Regular reviews and adjustments are necessary to adapt to these changes. By setting up real-time monitoring and alert systems, businesses can quickly identify issues. These include performance bottlenecks, security vulnerabilities, and cost anomalies before they impact operations. Skyloop Cloud provides ongoing support by setting up comprehensive monitoring solutions. We offer insights into performance metrics, security compliance, and cost optimization opportunities. We also recommend adjustments to enhance efficiency, security, and return on investment. In conclusion, efficient cloud infrastructure optimization is key to business success in today’s technology-driven world. By following best practices, businesses can maximize the benefits of cloud technology. These include thorough resource analysis, implementing automation and orchestration, and continuous monitoring. Partnering with cloud consultants like Skyloop Cloud allows organizations to navigate the complexities of cloud optimization effectively. This collaboration not only reduces costs but also enhances performance, security, and scalability. Embracing these strategies enables businesses to focus on growth.

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