Best IT Management Software for AWS Glue

Optimize IT Management with New Relic: Empower strategic oversight and elevate operational excellence. Transform your IT management approach with New Relic’s advanced observability platform, offering unmatched visibility and control across your IT landscape. Designed for software engineering practitioners, our solution integrates data from all systems, providing a comprehensive view to streamline operations, support informed decision-making, and drive key business outcomes. Monitor performance in real-time, resolve issues proactively, and optimize resource allocation with actionable insights. Strengthen collaboration between IT and business units, align technology investments with strategic objectives, and confidently navigate the complexities of today’s IT environments. With New Relic, IT management becomes a strategic asset, enabling growth and innovation while sustaining operational efficiency.

Stonebranch’s Universal Automation Center (UAC) is a Hybrid IT automation platform, offering real-time management of tasks and processes within hybrid IT settings, encompassing both on-premises and cloud environments. As a versatile software platform, UAC streamlines and coordinates your IT and business operations, while ensuring the secure administration of file transfers and centralizing IT job scheduling and automation solutions. Powered by event-driven automation technology, UAC empowers you to achieve instantaneous automation throughout your entire hybrid IT landscape. Enjoy real-time hybrid IT automation for diverse environments, including cloud, mainframe, distributed, and hybrid setups. Experience the convenience of Managed File Transfers (MFT) automation, effortlessly managing and orchestrating file transfers between mainframes and systems, seamlessly connecting with AWS or Azure cloud services.

Amazon Simple Storage Service (Amazon S3), an object storage service, offers industry-leading scalability and data availability, security, performance, and scalability. Customers of all sizes and industries can use Amazon S3 to store and protect any amount data for a variety of purposes, including data lakes, websites and mobile applications, backup, restore, archive, enterprise apps, big data analytics, and IoT devices. Amazon S3 offers easy-to-use management tools that allow you to organize your data and set up access controls that are tailored to your business, organizational, or compliance needs. Amazon S3 is built for 99.999999999% (11 9,'s) of durability and stores data for millions applications for companies around the globe. You can scale your storage resources to meet changing demands without having to invest upfront or go through resource procurement cycles. Amazon S3 is designed to last 99.999999999% (11 9,'s) of data endurance.

Amazon Relational Database Service (Amazon RDS), makes it easy to create, manage, and scale a cloud-based relational database. It offers a cost-efficient, resizable storage capacity and automates time-consuming admin tasks like database setup, patching, backups, and hardware provisioning. It allows you to concentrate on your applications, so they can provide the high performance, security, compatibility, and high availability that they require. Amazon RDS can be used on several database instance types, optimized for memory, performance, or I/O. It offers six familiar database engines to choose, including PostgreSQL and MySQL, MariaDB, Oracle Database and SQL Server. To easily replicate or migrate your existing databases to Amazon RDS, you can use the AWS Database Migration Service.

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is five times faster that standard MySQL databases and three time faster than standard PostgreSQL database. It offers the same security, availability, reliability, and cost-effectiveness as commercial databases, but at a fraction of the cost. Amazon Aurora is fully managed and maintained by Amazon Relational Database Service, (RDS). This automates tedious administration tasks such as hardware provisioning, database setup, patching and backups. Amazon Aurora is a distributed, fault-tolerant and self-healing storage that auto-scales up 64TB per database instance. It offers high availability and performance with up to 15 low latency read replicas, point in time recovery, continuous backup to Amazon S3, replication across threeAvailability Zones, and continuous backup to Amazon S3.

Stop wasting your time maintaining and provisioning databases yourself. Create isolated test databases quickly to deliver features faster. Equip your developers to stay on track with fast-paced projects by providing them with ready-to-go databases. As part of your CI/CD process, you can create pre-populated databases to test with and then automatically remove them once the tests are complete. With built-in container orchestration, quickly and easily spin up databases with the click of a single button for testing, bug replication, demos and more. Our patented subsetter shrinks PBs to GBs, without compromising referential integrity. Then, Tonic Ephemeral is used to create a database that contains only the data required for development. This will reduce cloud costs and maximize efficiency. Tonic Ephemeral and our patented subsetter can be used together to get the data subsets that you need, for as long as you require them. Get your developers to access one-off datasets that are only needed for local development.

Multi-cloud data security with a single pane of glass Industry's first SaaS access governance solution. Cloud is fragmented and data is scattered across different systems. Sensitive data is difficult to access and control due to limited visibility. Complex data onboarding hinders data scientist productivity. Data governance across services can be manual and fragmented. It can be time-consuming to securely move data to the cloud. Maximize visibility and assess the risk of sensitive data distributed across multiple cloud service providers. One system that enables you to manage multiple cloud services' data policies in a single place. Support RTBF, GDPR and other compliance requests across multiple cloud service providers. Securely move data to the cloud and enable Apache Ranger compliance policies. It is easier and quicker to transform sensitive data across multiple cloud databases and analytical platforms using one integrated system.

Amazon S3 Express One Zone, a high-performance storage class with a single Availability Zone, is designed to deliver consistent data access in milliseconds for your most frequently used data and applications that are latency sensitive. It offers data access rates up to 10x faster and request costs up to 50 percent lower than S3 Standard. S3 Express One Zone allows you to select a specific AWS availability zone within an AWS Region for your data storage. This allows you to co-locate both your compute and storage resources in the same AWS Region, further optimizing performance and lowering compute costs. The data is stored in an S3 directory bucket that supports hundreds of thousands requests per second. S3 Express One Zone can be used with services like Amazon SageMaker, Amazon Athena and Amazon EMR to accelerate machine learning and analytics workloads.

Varada's adaptive and dynamic big data indexing solution allows you to balance cost and performance with zero data-ops. Varada's big data indexing technology is a smart acceleration layer for your data lake. It remains the single source and truth and runs in the customer's cloud environment (VPC). Varada allows data teams to democratize data. It allows them to operationalize the entire data lake and ensures interactive performance without the need for data to be moved, modelled, or manually optimized. Our ability to dynamically and automatically index relevant data at the source structure and granularity is our secret sauce. Varada allows any query to meet constantly changing performance and concurrency requirements of users and analytics API calls. It also keeps costs predictable and under control. The platform automatically determines which queries to speed up and which data to index. Varada adjusts the cluster elastically to meet demand and optimize performance and cost.