Technical skills are not enough: it’s fundamental converting them in high quality services for helping the customer’s needs. This is our team’s main ambition, which is trained and certified by AWS: we’re cloud specialists! We are AWS Consulting Partners and also have the competency “Managed Service

As an AWS Managed Service Provider, we support various customers on AWS, and to support database services on AWS is a key offer for us. We intensively use DynamoDB when we build pipelines (for media transcoding for example), to store user session for web applications, and as a NoSQL Database for web

As an AWS Managed Service Provider, on of our duties is to move on-premises databases to the cloud. For those tasks, tools and automated process are very important. Database Migration Service is one of the tools that our team use to move database workloads to AWS.

We use Amazon EMR because it is a powerful tool offered by Amazon Web Services (AWS) that allows us to process and analyze large volumes of data efficiently and in a scalable manner. The first and most important point is that Amazon EMR is highly scalable. This means that we can process large datasets without worrying about the capacity of our resources. As our needs grow, Amazon EMR adapts, ensuring that we have the necessary processing power. Furthermore, Amazon EMR is flexible and compatible with various popular data analysis tools such as Apache Spark, Hadoop, Hive, and Presto. This gives us the freedom to choose the best tool for our use case, providing a wide range of options for data analysis and processing. Another significant benefit is seamless integration with other AWS services. We can easily connect Amazon EMR to services like Amazon S3 for data storage, Amazon Redshift for data warehousing analytics, and AWS Glue for data preparation and transformation, creating a cohesive and powerful ecosystem for our data analysis. Moreover, Amazon EMR provides us with advanced security features, ensuring the protection of our data during processing and analysis. We can control access to resources and implement security policies to ensure compliance with security requirements. In summary, we choose Amazon EMR on AWS to leverage its scalability, flexibility, integration with other services, and robust security measures. This helps us process and analyze large volumes of data efficiently, enabling us to make informed decisions and drive our business towards success. Thank you for following along!

AWS Glue is an Amazon Web Services (AWS) service for Extract, Transform, Load (ETL) of data. It is widely used due to its ease of use, automation, and seamless integration with the AWS ecosystem. It allows you to create and manage ETL pipelines without manual coding. Its automatic scalability handles large volumes of data and traffic spikes. Additionally, it offers metadata discovery and cataloging, advanced transformations with PySpark, and reduces development time, speeding up insights from data. AWS Glue is a cost-effective and managed option, eliminating the need to configure infrastructure for ETL.

As a AWS Consulting Partner very focused on Automation, Devops and best practices, Lambda for us is a swiss knife on AWS. There is a lot of scenarios that Lambda is the right tool. From automating processes and pipelines, to implementing scheduled jobs on AWS (like Snapshots, and others), Lambda is

Our solution using OpenSearch with CloudWatchLogs and Applications Connectity envolves a centralized log managment for all the applications. Besides, the solution is based on Best Practices and garantee the possibilty of access log applications in an easy way. With our solution it's also possible to organize the applications in Different Groups Based on the use of the application. It's possible to organize in some environments that the development can control the bugs with the Logs of the application to test in some environments like development, homologation and so prodution environment. Using the resources of AWS, it's also possible to focus on the application and let the infrastructure with AWS.

BRLink is experienced in Windows workload migration to AWS having successfully moved and repurposed systems running IIS with .net framework along MS-SQL, Active Directory, Remote Desktop Gateway and Distributed File System.

BRLink works for you to be our customer today, tomorrow and always. This is our motto it inspires us to always do more for you. We have been in the market for over 10 years and, since then, we have collected achievements, entered into great alliances and taken our brand throughout Brazil.

Our solution for data and analytics projects, focus on organize and democratize quality data for speed up business insights through a data driven journey. The BRLinks` Data and analytics solutions encompass the following options: Initial solutions: With main goal to start small projects with customers - Simple Quick: Quicksight dashboards creation and training - Starter lake: Creation and optimzation of a central repository for collect, storage and process data. - Quick Starter: Creation and optimzation of a central repository for collect, storage and process data combined with Quicksight Advanced Solutions: With main goal projects with customers - Customized Data & Analytics projects with long term to be implemented - MSP for data and infrastructure monitoring - Machine Learning and artificial inteligence managed services and customized model creation All of our offerings for Data & Analytics projects encompass AWS services to cover , but not limited, the following topics: Landing Zone foundation, Assessment, Data Ingestion, Data Cleaning, Security best practices, knowledge transfer, ETL, Data Quality, Documentation, Data Lake, Delta Lake, Lake House, Data Governance, DevOps, pipeline and infrastructure monitoring, machine learning and artificial intellingence

Our solution for EKS with DevOps Tools envolves a centralized managment with application running inside containers. Besides, the solution is based on Best Practices and garantee the possibilty of deploying new application versions without a downtime. With our solution it's also possible to organize the applications in Different Node Groups Based on the use of the application. It's possible to organize in some environments that the development can control the versions of the application to test and development, homologation and so prodution environment. Using the resources of AWS, it's also possible to focus on the application and let the infrastructure with AWS.

Our Generative AI Offer provides customized AI solutions that transform how businesses operate and engage with their customers. Leveraging AWS technologies like Amazon Bedrock, Amazon SageMaker, Amazon Personalize, and more, we automate processes such as document analysis, customer support, data centralization, image generation, and personalized recommendations. This enables companies to optimize operations, enhance customer experiences, and gain valuable insights from their data.