Category: Amazon EC2

Analyzing time-series data such as tick-by-tick quotes and trades is crucial to our financial services customers, specifically quantitative analysts, algorithm engineers, risk managers, and others handling various trading functions. From running global ticker plants to algorithm development, to risk management, these functions are critical to day-to-day business operations. With the increase in trading volume and […]

Update (4/17/2024): The solution presented in this post using AWS DataSync for migration to Amazon S3 from Google Cloud Storage works best if you are looking for a secure managed service for your data transfer workflow that provides data validation, integrated auditing and monitoring capabilities, and the ability to transfer changed data. If you are […]

Data is one of the most valuable assets that a business owns. Protecting that data from disasters, such as system or infrastructure failures, is an important part of business continuity planning. Companies have diverse IT infrastructures in which data can be presented from multiple sources. This includes on-premises network-attached storage devices via different file-sharing protocols, […]

Update 4/8/2024: You can find a more recent version of this solution in the blog “Accelerate development refresh cycles and optimize cost with Amazon FSx for NetApp ONTAP.” That post presents an alternative solution to the same use case found in this post, but using Amazon FSx for NetApp ONTAP. This post, which uses Amazon […]

What do we do when our applications fail, and we must provide instance-level log data to external entities for troubleshooting purposes? It’s best to limit direct human interaction with our production resources, so we often see temporary access provided for a fixed period. For highly regulated industries, the approval process for production access can be […]

When the AWS Snowball Edge launched in 2016, if you wanted to run Amazon Elastic Compute Cloud (Amazon EC2) instances on the device, you were required to specify an Amazon Machine Image (AMI) to be installed on it at time of ordering. You were then able to launch Amazon EC2 instances on the device based […]

Many customers run complex analytics and high performance SAS-based applications on premises using the SAS Grid platform to perform large-scale analytics. Customers with a strategy to move to open-source or cloud-native solutions will often consider refactoring applications to Python or R to lower their total cost of ownership, however refactoring these applications as part of […]

Over the years, traditional on-premises applications have relied on ever more powerful (and expensive) storage arrays to scale application IO performance and provide a single server with millions of IOPs. Meanwhile, AWS was perfecting the art of linear, elastic horizontal scalability of storage performance in the cloud. Until now, it’s been difficult to meet the […]

SAP HANA is an in-memory, relational database which enterprises rely on to run their mission critical Enterprise Resource Planning (ERP) systems and analytical applications. As SAP HANA is an in-memory database, you may wonder why the storage layer is relevant. A key point is that memory is volatile. When you write data to a HANA […]

I think it’s safe to say that every organization that runs its own IT environment has applications running on a database. Managing database servers is a critical job, as any performance hiccups on the database could affect many users and the workloads that they execute. Many enterprises see negative impact on the performance of their […]