Tag: AWS Partner Guest Post

As the digitization of businesses accelerates, the value of effective knowledge management continues to rise. The complexity of large language models (LLMs) and semantic search demands a modern data strategy and specific technical skill sets. Together, generative AI and semantic search form an integrated ecosystem for intelligent knowledge management. Learn how both can be harnessed to improve productivity and operational efficiency by democratizing enhanced search capabilities and generating actionable insights.

Cloud migrations for SAP HANA or S/4HANA is not a trivial exercise, and the challenges businesses must deal with when migrating SAP workloads to the cloud include timing, tools, and cost. Learn how IT-Conductor worked with BGP Management Consulting in a real use-case scenario to deliver end-to-end S/4HANA migration from on-premises to AWS whilst leveraging several of its automated solutions and services.

As organizations continue to expand their cloud infrastructure, they have ongoing requirements to connect their AWS environments to other cloud providers. However, connecting different cloud networks seamlessly and securely can be a challenge due to varying networking architectures, security models, and operational tools. Learn how Aviatrix Systems simplifies this process and enables businesses to fully leverage AWS while easily connecting to other cloud providers.

Kasten K10 by Veeam makes backing up and restoring data easy in the event of a security breach or unintended or unauthorized data manipulation. K10’s cloud-native philosophy inherently makes it easy to integrate into security monitoring systems without much effort. Learn about the Kubernetes Audit and how Kasten K10 natively integrates with it, and explore how to configure Amazon GuardDuty and find K10 events in Amazon CloudWatch logs which GuardDuty pulls from.

Customers can use Grafana Cloud to connect over 60 of the most popular AWS services. Interacting with those services in Grafana Cloud is easier than ever, providing one portal to set up and manage an entire AWS observability strategy. This post takes a closer look at the changes that will make it easier to manage your AWS environment. Grafana Labs supports users’ infrastructure and applications wherever they are, regardless of data type or source.

The term “API economy” refers to businesses delivering digital services to end users, other company services, or partners. This post discusses the necessary aspects to achieve an observability model in the API economy, including a practice example with an architecture design and related technologies. Based on Pragma’s extensive experience, explore the mainstays of observability and the importance of having well-defined observability architecture to have a thriving API economy model at scale.

Software-as-a-service products have revolutionized private sector business operations in recent years, but despite the commercial sector’s demonstrated success with SaaS the U.S. Department of Defense (DoD) has been slow to adopt this new delivery model. Learn how the Game Warden platform, built by Second Front Systems, a DoD-compliant DevSecOps platform as a service that accelerates software delivery onto DoD networks while adhering to stringent cybersecurity controls.

Many organizations still are managing expensive single use case data environments, however, and IBM’s Modern Data Accelerators on AWS can help build modern implementation of a data fabric architecture, enabling customers to realize faster time to value. Learn how IBM’s Modern Data Accelerators can help build modern implementation of a data fabric architecture, which standardizes data integration across the enterprise.

Adversarial machine learning (AML) attacks, also known as “artificial intelligence attacks” (AI attacks), involve deliberate attempts to manipulate or compromise machine learning models or even make it reveal sensitive information. Explore how AIShield‘s seamless integration within the Amazon SageMaker environment alleviates AI security concerns by mitigating risks before and after deployment, enabling customers to develop and deploy AI applications with confidence.

Online analytical processing (OLAP) is a method of organizing datasets in a multi-dimensional format for quick analysis and provides deeper insights for decision-makers. Multi-dimension analysis is widely adopted by analysts, knowledge users, and power users for their decision support process. Learn how utilizing AWS analytic services and migration tools together with HCLTech frameworks to orchestrate OLAP solutions.