What would you like to explore?

Energisa modernized 70 systems by migrating to AWS with e-Core’s support, gaining scalability, availability, and performance in the energy sector.

A successful cloud migration doesn’t start with tools, it starts with the right plan . Download this guide to discover a structured, strategic approach to migrating and modernizing workloads on AWS . Whether you’re just starting your cloud journey or looking to optimize an existing environment, this whitepaper gives you the clarity and framework to do it right. What you’ll learn:  A 3-phase cloud assessment and planning framework AWS tools that support discovery, migration, and modernization How to reduce cloud spend, improve security, and scale with confidence Real-world planning strategies, including containerization, serverless, and data modernization

Artificial Intelligence solutions are increasingly integrated into business operations, transforming decision-making and process optimization. However, the adoption of AI data preparation still faces significant challenges. According to a global Precisely survey from September 2024, 66% of organizations say that poor data quality and lack of data governance are the main obstacles to the success of AI . This data highlights a critical point: the success of AI projects depends essentially on the quality of the data. For Artificial Intelligence to be effective, it is essential to rigorously collect, organize and prepare the data, guaranteeing the accuracy and reliability of the models . Without a reliable foundation, even the most advanced models fail to deliver real value. This raises a fundamental question: Is your company really prepared to turn data into a competitive advantage? Or are you still accumulating information without a clear purpose? Find out how to structure your AI data preparation process and unleash the full potential of AI to drive your business forward. The 3 essential pillars for a successful data journey An organization’s data journey is a dynamic and continuous process of evolution, where data centralization, quality, and governance become intertwined as the company matures. These three pillars are not isolated stages, but rather mutually reinforcing dimensions . Let’s see how they relate to each other and influence the evolution of data maturity in an organization: 1. Unifying your data: centralization and integration One of the first challenges in the data journey is overcoming the dispersion of information. Many companies find themselves with valuable data spread across several different systems , departments and formats, a scenario known as “data silos”. For example, imagine having customer data in a CRM, sales information in spreadsheets and stock data in legacy software. This fragmentation prevents a unified view of the business. The solution? Unify this data in a centralized repository, such as a data lake, data warehouse or cloud solution. This centralization ensures that everyone in the organization has access to a consistent and complete view of the data, allowing for more accurate analysis and informed decisions. Centralized access is one of the first steps toward a scalable and sustainable AI data preparation process . 2. Ensuring accuracy: data quality and reliability After unifying your data, the next step is to ensure its quality and reliability. In large volumes, data can easily become disorganized , inconsistent or inaccurate . This process of refinement is vital, as poor quality data inevitably leads to inconsistent AI models and, consequently, wrong business decisions. High-quality, reliable data is the foundation of any successful AI initiative. Machine Learning models, for example, are trained based on this data, so if the data is compromised, so is the model’s performance. By investing in data quality, your company guarantees that analysis and predictions will be accurate, and that the decisions made based on these insights will be more effective and strategic, reducing operating costs by avoiding errors and rework. When building your AI data preparation foundation, quality is not optional, it’s essential to enabling trust and value. 3. Protecting and managing: data governance and security With your data centralized and its quality assured, the next step is to establish a solid governance and security structure. Data governance ensures that information is used ethically, responsibly and in compliance with laws and regulations. It defines clear policies on who can access what data, how it can be used and how long it should be stored. At the same time, data security protects the company’s most valuable asset from unauthorized access, loss or damage. This involves implementing technical measures such as encryption, firewalls and intrusion detection systems, as well as organizational measures such as security policies and employee training. Effective data governance and security protect the company from legal and financial risks, and promote trust among customers and partners. By demonstrating a commitment to data protection, the company builds a solid reputation and opens doors to new business opportunities. Good governance is what turns a well-intentioned AI data preparation initiative into a secure, scalable, and sustainable strategy. Business benefits A well-structured data journey is not just a technical requirement, but a strategic differentiator that generates real impacts, such as: Faster and more accurate decisions: reliable data makes analysis more agile and strategic. Reduced operating costs: automation based on data optimizes processes and eliminates inefficiencies. Personalized experiences: data analysis makes it possible to create interactions that increase customer loyalty. These benefits reinforce the strategic role of data in the competitive positioning of companies , highlighting the importance of investing in its organization and preparation through a clear AI data preparation approach. Conclusion The data journey is more than a technical process; it is a strategic differentiator for companies that want to thrive in an AI-driven market. By centralizing, qualifying and governing their data efficiently, organizations are positioned to turn challenges into opportunities, driving innovation and generating tangible results. AI data preparation is the first step toward unlocking the full potential of Artificial Intelligence in the business world.  At e-Core, we help companies turn data into powerful insights, preparing them for the future of AI. Start your data journey today.

The Client

Virtualization has revolutionized how companies manage their IT environments, offering flexibility, scalability, and cost reduction. However, the recent change in VMware’s licensing policy has led many of their clients to reconsider their virtualization strategies. In this transformative scenario, running virtualized environments in the cloud, such as a virtualization on AWS, can emerge as an attractive and viable alternative. Amazon Web Services (AWS) , for instance, the leader in the cloud computing market, offers robust virtualization solutions, providing flexibility, scalability, and efficiency for organizations of all sizes. What is Machine Virtualization? Machine virtualization is a technology that allows for the creation of multiple instances of operating systems on a single physical hardware. This enables various applications and operating systems to run simultaneously, optimizing resource use, offering greater flexibility, and simplifying management while significantly reducing infrastructure costs. By abstracting the physical hardware, virtualization enables more efficient and dynamic IT resource management. What are the advantages of virtualization on AWS? In the context of AWS, virtualization is fundamental to its infrastructure-as-a-service (IaaS) offerings. AWS uses its own virtualization technology, which allows for the creation of virtual machine instances (EC2) in a highly efficient manner. These instances are based on a lightweight hypervisor developed by AWS, called Nitro , which provides low overhead and maximizes the performance of virtual machines. Additionally, AWS facilitates the migration of existing virtualized environments, including those on VMware, directly to its cloud with the AWS MGN (Application Migration Service) , which minimizes time-consuming and error-prone manual processes by automating the conversion of servers for native operation on AWS. Virtualization on AWS offers several significant advantages: Scalability : Users can quickly scale resources up or down as demand changes, paying only for what they use. Cost-efficiency : It eliminates the need for upfront investments in hardware and reduces ongoing operational costs. Flexibility : It offers a wide range of instance types optimized for different workloads and allows the use of various AWS pricing models, enabling the choice of what best suits the company at every stage without surprises from pricing changes. High availability : AWS’s global infrastructure allows for the distribution of applications across multiple availability zones and regions, enhancing resilience. Security : It provides advanced security and compliance tools, including network isolation and data encryption. Simplified management : It offers intuitive tools for monitoring, automation, and management of virtualized resources. Is it smart to migrate from VMware? Migrating a virtualized environment from VMware to AWS represents a strategic opportunity for organizations. By leveraging AWS’s robust infrastructure and innovative services, companies can overcome the challenges imposed by VMware’s licensing changes and reach greater levels of operational efficiency, flexibility, and innovation. Virtualization on AWS offers a clear path to IT infrastructure modernization, enabling organizations to focus on their core business while enjoying the benefits of a market-leading cloud platform. 

Discover how our Business-Aligned Technical Modernization solutions replace outdated systems with agile, secure, and scalable cloud-native technology. From optimizing your infrastructure to tackling complex data challenges, our expert team supports your business at every stage of modernization. Download the full content to learn how we can help turn your tech stack into a sustainable growth and customer value driver. →

Free your team to focus on strategic goals with streamlined IT operations. Our expert solutions reduce ticket overload, enhance support, and optimize your CI/CD processes for faster, more reliable deployments. Download now to see how we can transform IT into a growth engine for your business. →

The challenge Wilson Sons , the largest integrated port and maritime logistics operator in Brazil, embarked on a digital transformation journey to modernize its IT infrastructure and processes. With a large number of applications and extensive operations, Wilson Sons needed a secure and compliant cloud environment that would provide high availability, security, and auditing capabilities. The challenge was to establish clear usage and access rules, adhering to the Principle of Least Privilege, while ensuring the security of the new cloud infrastructure. The solution To address these challenges, Wilson Sons partnered with e-Core to develop and implement a cloud adoption strategy . The strategy included migrating the existing VMware-based infrastructure to AWS using VMware Cloud on AWS, while also migrating certain applications directly to AWS services. Key elements of the solution included: Landing Zones: Structured environments were created for development, testing, QA, and production across multiple accounts using AWS Control Tower and AWS Organizations to enhance governance and security.  Single Sign-On Integration: e-Core integrated AWS Organizations with Single Sign-On (SSO) to simplify access management across multiple accounts, assigning permissions based on user roles and ensuring compliance with security requirements. The integration also included Domain Controllers to manage authentication requests, such as login and permission checks. Transit Gateway: All accounts communicated securely through the Transit Gateway, which acted as a cloud router, ensuring encrypted data transmission and streamlined account access. Security and Monitoring Tools: Several AWS services were deployed to ensure security and monitoring: CloudTrail: Enabled centralized logging, monitoring, and retention of account activities, simplifying operational analysis and auditing. AWS Config: Monitored and recorded configuration changes, automating desired internal configurations. Security Hub: Provided security alerts and compliance status monitoring. IAM Access Analyzer: Logged and restricted access to a dedicated security account for monitoring. CI/CD Pipeline: In the second phase, a CI/CD structure was created using AWS services: ECR for container image storage. ECS Fargate for running applications. CodeBuild for building images, CodeDeploy for application deployment, and CodePipeline for creating delivery pipelines. Application Load Balancer protected by AWS WAF and ACM-managed digital certificates. CloudWatch and Container Insights for monitoring and alerting. Results Centralized Account Management: Wilson Sons now manages all AWS accounts centrally with defined corporate policies, enhanced network traffic control, and secure connections between cloud and on-premises environments. Secure Cloud Migration: Applications were successfully migrated to VMware Cloud on AWS, and new applications were developed using AWS services with increased speed, availability, security, and auditing. Modernized CI/CD Pipeline: The CI/CD structure allowed for rapid application modernization and replication across other applications, further accelerating the digital transformation process. At e-Core, our expertise in cloud migration and digital transformation has made us a trusted AWS partner. We have successfully guided companies like Wilson Sons through their cloud journey, ensuring security, governance, and operational efficiency every step of the way. Ready to take your digital transformation to the next level? Discover why e-Core is a trusted AWS consulting partner . Learn how we can help your business achieve its goals with secure, scalable, and efficient cloud solutions.

The Challenge Founded in 2017, a55 is a fintech that provides significant financial support to new economy companies. It offers solutions for companies in the service industry, such as ERP’s, CRM’s, and Marketplaces, which have clients with predictable revenues.  However, they faced challenges with their data architecture that hindered efficient credit analysis, customer understanding, and portfolio recovery. The need for a robust and scalable infrastructure to support their data-driven credit offerings was critical for maintaining their competitive edge. The Solution: Data Architecture Modernization a55 partnered with e-Core to modernize their data architecture. The project involved a comprehensive review and enhancement of their cloud infrastructure according to the Well-Architected Framework and Data Lake Best Practices. Additionally, e-Core implemented Infrastructure as Code (IaC) to streamline deployment and management processes for all data platforms. These improvements enabled a55 to leverage data intelligence for more accurate credit offerings, enhancing their unique value proposition and fostering a data-driven culture . The Resu lts The collaboration with e-Core led to significant improvements for a55: 40% Increase in Capital Generation: Enhanced data architecture allowed for more efficient credit analysis and better capital allocation. 15% Improvement in Portfolio Recovery: Improved understanding of customer data contributed to more effective recovery strategies. 70% Reduction in AWS Costs: Optimized cloud infrastructure led to substantial cost savings. Launch of a New DeFi Product: The modernized infrastructure supported the development and introduction of a new decentralized finance (DeFi) product. The successful modernization of a55’s data architecture empowered the fintech to offer more precise credit lines based on data intelligence, solidifying its position as a key player in the financial services industry.

Learn how e-Core built a scalable, secure, and observable solution for Tempo's migration from Heroku to AWS Tempo Software is a Boston-based leading provider of time-tracking, resource-planning, and project management solutions. As a key player in the Atlassian ecosystem, Tempo serves over 30,000 clients in more than 100 countries. Their solutions help businesses worldwide orchestrate the creation and delivery of work, allowing teams to focus and optimize around their highest priorities. Tempo needed to address a critical issue with the hosting infrastructure for Timesheets , an entry-level Jira time-tracking solution focused on small businesses that is essential to their strategy. Acquired in 2020 and originally called Prime Timesheet, the application was hosted on Heroku, which was incompatible with the rest of Tempo’s infrastructure on Amazon Web Services (AWS). Join us to discover how e-Core engineered a scalable, secure, and observable migration from Heroku to AWS for Tempo! The challenge The imminent departure of one of the product’s creators prompted the company to migrate Timesheets to AWS to ensure greater reliability and scalability. With over 20,000 instances in use worldwide daily, it was important to avoid service disruption during the migration, as many businesses relied on the product for their operations. Tempo chose e-Core to create a comprehensive migration plan to AWS. 

A major retailer recently implemented a system utilizing For Benefit Of (FBO) accounts to streamline their global payments and currency exchange processes. The FBO accounts , managed by third-party partners, act as intermediary holding accounts where the retailer deposits funds. These funds are then distributed to designated recipients as specified by the retailer.  The Challenge The retailer faced significant regulatory challenges and operational inefficiencies due to direct handling of funds and complex international transactions . Managing compliance across various jurisdictions and ensuring timely payments was becoming increasingly difficult and resource-intensive. The Solution The project involved building a robust integration between the retailer’s system and the third-party FBO account providers. This setup ensures that the retaile r does not directly hold the funds , thus mitigating regulatory risks and enhancing compliance. The integration allows for seamless, large-scale transactions, improving operational efficiency and providing a more mature process for handling third-party payments. Results Successfully enhanced global payment infrastructure Ensured compliance Reduced potential regulatory issues