Author: Jeremy Winters, Principal Architect Running SQL Server on Linux in AWS can deliver significant cost savings while offering modern deployment flexibility. This blog dives into why you should consider switching, with detailed cost comparisons, setup tips for Linux AMIs, and insights into backup and restore processes using S3. Discover how to optimize your SQL Server environment for performance and efficiency on Linux.
Amount, a leading-edge provider of software based financial solutions located in Chicago Illinois has developed and launched an application platform that seamlessly enables banks and financial institutions to traverse the digital divide, unify data, and gain insight to improve the consumer experience.
Uturn Data Solutions partnered with Texture Energy to enhance their SaaS platform, focusing on scalability, performance, and security. By migrating Texture Energy's infrastructure to Amazon Web Services (AWS), Uturn implemented a robust, scalable solution that improved system performance and ensured high availability. The collaboration resulted in a more efficient platform, enabling Texture Energy to better serve its clients and adapt to evolving market demands.
Author: David Matthews, Sr. Architect AWS cloud costs can quickly spiral out of control if not managed effectively. This blog post explores key areas to focus on for optimizing your cloud spend, including rightsizing resources, leveraging reserved instances and savings plans, and implementing cost management strategies.
Author: Paul Kurzawinski, Cloud Engineer Introduction AWS Elastic Disaster Recovery (AWS DRS) is a service provided and delivered by Amazon Web Services that helps companies ensure business continuity in an unexpected disaster or downtime. The primary goal of AWS DRS is to replicate critical data and applications using affordable storage, minimal compute, and point-in-time recovery [...]
Author: Wend Tarpaga, Cloud Engineer Introduction Kubernetes, often abbreviated as k8s, has emerged as the de facto system for orchestrating containerized applications. Within this ecosystem, the concepts of "pods" and "nodes" are fundamental to understanding how Kubernetes manages and schedules applications. A pod is the smallest deployable unit created and managed by Kubernetes, while a [...]
Author: Cyprian Moye, Cloud Engineer Introduction Unmatched agility and efficiency in managing workloads can be achieved by integrating HorizontalPodAutoscaler (HPA) with Kubernetes deployments to ensure seamless performance. HPA can automatically adjust workload resources such as Deployments or StatefulSets, aligning application scaling with demand fluctuations without manual intervention. HPA offers the flexibility to scale resources up [...]
With enterprise-grade security and privacy, access to industry-leading foundation models, and generative AI-powered applications, AWS makes it easy to build and scale your generative AI applications, customized for your data, your use cases, and your customers.
With enterprise-grade security and privacy, access to industry-leading foundation models, and generative AI-powered applications, AWS makes it easy to build and scale your generative AI applications, customized for your data, your use cases, and your customers.
AWS provides a variety of services to construct solutions for Real-Time use cases. Understanding whether to use streams or queues, Lambda functions, Spark or Flink, can be difficult, as each of these technologies has strengths, peculiarities, cost structures, and different scaling approaches.