• AMAZON RDS

    Amazon Relational Database Service (Amazon RDS) is a web service that enables simplicity to set up, operate, and scale a relational database in AWS cloud. It makes possible cost-efficient, resizable capacity for an industry-standard relational database and manages common database administration tasks. Amazon RDS support the most popular engines — Amazon Aurora with MySQL compatibility, Amazon Aurora with PostgreSQL compatibility, MySQL, MariaDB, PostgreSQL, Oracle, and SQL Server — as well as includes capability to deploy on-premises with Amazon RDS on AWS Outposts.

Amazon RDS Key Capabilities

  • Performance

    Amazon RDS is designed to deliver fast, predictable, and consistent I/O performance. It allows to configure an IOPS rate when creating a database instance, and Amazon RDS provisions that IOPS rate for the lifetime of the database instance. Storage type is optimised for I/O-intensive transactional (OLTP) database workloads

  • Scalability

    Support scaling the compute and memory resources powering your deployment up or down. Compute memory resources scaling are prompt and flexible, typically complete in a few minutes. As storage requirements grow, could be also provision additional storage. Storage scaling is on-the-fly with zero downtime.

  • Manageability

    Amazon RDS provides Amazon CloudWatch metrics for your database instances at no additional charge. Amazon RDS can notify you via email or SMS text message of database events through Amazon SNS. Amazon RDS integrates with AWS Config to support compliance and enhance security by recording and auditing changes to the configuration of your DB instance.

  • Security

    Amazon RDS allows to encrypt databases using keys which are managed through AWS Key Management Service (KMS). Amazon RDS supports the use of SSL to secure data in transit. AWS recommends to run database instances in Amazon VPC, which allows you isolate database. Amazon RDS is integrated with AWS Identity and Access Management (IAM).

  • Lower administrative efforts

    Amazon RDS database instances are pre-configured with parameters and settings appropriate for the engine and class you have selected. You can launch a database instance and connect your application within minutes. Amazon RDS will make sure that the relational database software powering your deployment stays up-to-date with the latest patches.

  • Availability and durability

    The automated backup feature of Amazon RDS enables point-in-time recovery for your database instance. Amazon RDS will backup your database and transaction logs and store both for a user-specified retention period. This allows you to restore your database instance to any second during your retention period, up to the last five minutes.

  • Cost-effectiveness

    There is no up-front commitment with Amazon RDS, simply pay a monthly charge for each database instance that you launch. Amazon RDS Reserved Instances give you the option to reserve a DB instance for a one or three year term and in turn receive a significant discount. Amazon RDS allows you to easily stop and start your database instances for up to 7 days at a time.

THE VALUE WE DELIVER IS RECOGNIZED

clients’ Success stories

MULTI STAGE DATA PIPELINE

Being a powerful player in the wellness & fitness niche, Naring Health handles multiple diet-related services under one roof. On the one hand, they evaluate DNA, microbiome, and metabolic reaction to particular meals or dietary practices to define a sufficient eating program to prevent or treat disease.

View success story

AWS NATIVE KUBERNETES SOLUTION

As one of the most influential humanitarian organizations, Adra specializes in managing diversified services, each of which is intended to help individuals, communities, and society as a whole. Such a charity-oriented mission undeniably requires a robust technical foundation.

View success story

A HIGHLY AVAILABLE MICROSERVICE ARCHITECTURE

In the modern business ecosystem, it is essential to constantly improve your services in order to engage potential clients and keep pace with the competitors. Growing means consistently examining your current infrastructure for weak areas and considering whether what you have in place is not only meeting the basic needs of your company today but also setting you up for triumph in the increasingly cloud-focused future.

View success story

INFRASTRUCTURE & DEVOPS SERVICES FOR FINTECH PRODUCT

The client experienced the need to automate the deployment process of microservices and simplify the release process. One of the requirements was to migrate Docker containers to AWS ECS and move existing infrastructure to Terraform.

View success story

CLOUD & DEVOPS SERVICES FOR CLOUD NATIVE PRODUCT

The client had a manual multi-environment infrastructure deployment аnd no continuous integration & continuous deployment automation. That significantly impacted the speed of product development, release, and delivery cadence of new application versions in general. Besides, it required a considerable part of the development team capacity to process it manually.

View success story

CLOUD & DEVOPS SERVICES FOR REAL ESTATE PRODUCT

The client faced the need to automate multi-environment continuous integration and deployment process of microservices, move the front-end part to CDN as well as deploy multi-environment infrastructure as a code.

View success story

SERVERLESS DATA & ML PIPELINES

The client had high costs for development, deployment, and, most importantly, operation of the data platform including Data Lake, Ingestion, and ML Pipelines. The pipelines were mostly running in EC2 instances, which led to the increased cost of operations and required a significant amount of time to deploy and test the pipelines in lower environments.

View success story

SERVERLESS DEPLOYMENT AUTOMATION

The client came with a request to automate and unify the deployment process of serverless applications on AWS Lambda. Having manual deployments before, the customer was facing inconveniences and difficulties, including non-uniform environment setup (versions of Serverless, Python, Node, and so on were inconsistent) and inability to control the environment changes in one place.

View success story

DATA SCIENCE INFRASTRUCTURE

The client needed to strengthen collaboration within the data scientists team by moving research capabilities into cloud workloads. Besides, they wanted to automate and unify the deployment process of AWS resources. That, in turn, would decrease the time and effort required for a team of data scientists to build and test their models.

View success story

CI/CD FOR MOBILE CROSS PLATFORM APPLICATION

Initially, the client’s development team performed continuous integration and continuous deployment processes manually. Consequently, it was time- and effort-consuming to build cross-platform mobile applications. Besides, they used the legacy tools stack – that doesn’t have built-in mobile-specific continuous integration and deployment capabilities.

View success story

SERHII YELCHENKO

Delivery Director

We are cloud native company who visions cloud computing as the home for tech products. Our team of top-notch engineers specialize in Cloud solutions, we develop scalable cloud native applications, provide DevOps services which facilitate innovations and allow release products faster, build reliable and secure cloud infrastructure for our clients from the US and Europe.

Tell us about your business needs

    I agree to periodically receive relevant information, news, and event notifications from Matoffo.

    Our website uses cookies to help personalize content and provide the best browsing experience possible. To learn more about how we use cookies, please read our Privacy Policy.

    Ok