Amazon VGT2 Las Vegas: Management Tools

Automating the Creation of Data Lakes with AWS Service Catalog

In today’s landscape, businesses invest significant time in comprehending their operational processes, profiling datasets, and analyzing information from diverse sources. This effort culminates in highly structured data primarily utilized for reporting. Traditional systems extract data from transactional platforms that encompass various metrics and attributes reflecting different facets of the business. For further insights, you can explore another blog post here.

Gaining Insights into Your Amazon Kinesis Data Firehose Delivery Stream with Amazon CloudWatch

As global data generation accelerates, the demand for capturing and analyzing this information continues to rise. This data supports a multitude of applications, including IoT, advertising, gaming, security monitoring, and machine learning (ML). The increasing velocity and volume of streaming data necessitate that organizations adopt robust mechanisms to handle diverse data streams. For expert analysis on this topic, you can check out this resource.

Automating Amazon Redshift Cluster Management with AWS CloudFormation

Amazon Redshift stands out as a high-performance, petabyte-scale cloud data warehouse, offering unmatched price-performance ratios. With a vast customer base relying on Amazon Redshift for critical business workloads, the platform provides features that enable the creation of scalable, efficient, and easily manageable operations. For instance, users can adjust their Amazon Redshift clusters dynamically based on needs.

Auto-Scaling Amazon Kinesis Data Streams with Amazon CloudWatch and AWS Lambda

Co-authored with Noah Mundahl, Director of Public Cloud Engineering at United Health Group, this post highlights the newly recommended On-Demand mode for Amazon Kinesis Data Streams, which simplifies the auto-scaling process. This enhances the efficiency of managing data streams in real-time environments.

Enhancing Amazon OpenSearch Service Performance with Graviton2

As of September 8, 2021, the Amazon Elasticsearch Service has been rebranded to Amazon OpenSearch Service. This service offers various instance types to cater to specific use cases. In 2021, AWS introduced general-purpose (M6g), compute-optimized (C6g), and memory-optimized (R6g, R6gd) instances for OpenSearch Service version 7.9 and beyond, powered by AWS Graviton2.

Running Usage Analytics on Amazon QuickSight with AWS CloudTrail

Amazon QuickSight serves as a cloud-native BI service, empowering users to craft and publish dashboards swiftly without the need for server provisioning or intricate licensing. Once deployed, evaluating the effectiveness of these dashboards is crucial. This is indeed a vital aspect of BI strategy, and you can find more about it in a detailed video here.

Optimizing Customer Experience through Data Monetization Using Telecom Assets: Part 2

The initial segment of this series delves into the necessity of establishing a customer experience (CX) management and data monetization strategy for telecom service providers (TSPs). It also addresses the primary challenges driving these initiatives and includes an AWS CloudFormation template for a solution demonstration.

Securing EMR Cluster Access with AWS Systems Manager

Organizations must prioritize security when granting engineers access to build applications. Allowing SSH inbound access to instances poses risks of unauthorized command execution. Utilizing a Bastion host or jump server is a common strategy for providing secure access to Amazon EMR cluster instances.

Accelerating Federated Queries from Amazon Redshift to Amazon Aurora MySQL Using AWS CloudFormation