Tag: Amazon CloudWatch
In this post, delve into the process of detecting tenant activities within microservices spanning multiple AWS accounts. We provide insights into instrumenting AWS Lambda functions to include tenant information in tracing using ADOT and demonstrated how to establish a service map across several AWS accounts using Amazon CloudWatch. By leveraging AWS observability technology, SaaS providers can enhance operational efficiency and redirect their attention towards their desired development goals.
One of the top challenges in operating a software-as-a-service (SaaS) solution is measuring the resource consumption of individual tenants in order to understand their usage patterns, attribute costs, and more. The dynamic nature of SaaS environment and shifting needs makes it even more challenging. Explore how you can use the tenant resource consumption data you gathered to optimize your SaaS architecture, to improve operational footprint of SaaS environment and to drive business decisions.
As data sources are becoming increasingly varied and data volume increases multifold, traditional data platforms can prevent organizations from analyzing data at scale and turning that information into tangible business insights. Cognizant Data and Intelligence Toolkit-Migration Studio streamlines the modernization journey with a suite of pre-built accelerators that can simplify and speed up every stage of migration, including discovery, ETL, business intelligence reports migration, and validation.
Organizations have matured and have overcome the initial hurdles of proving the capabilities of AI. The challenge now is operationalizing AI and building engineering excellence to successfully adopt and manage machine learning at scale. Learn how Quantiphi assisted Venterra Realty in bringing in the best ML solution development and deployment practices through NeuralOps—a framework built on Amazon SageMaker.
AiDA Technologies launched new Fraud-Waste-Abuse detection solution, SMART-FRAUD, in partnership with AWS SaaS Factory. SMART-FRAUD uses AI to monitor health insurance claims to unearth cases of irregular behaviors such as claims fraud, over-charging, over-servicing, and other unusual behaviors. Learn how a successful SaaS transformation improves the synergy between the technical, business, and operational aspects of the teams, and overall cultural transformation of the organization.
Prometheus is an open-source systems monitoring and alerting toolkit which many companies and organizations have adopted. OpsWatch from Arvato Systems helps to bridge the gap between Prometheus native and non-native Amazon CloudWatch metrics and Amazon GuardDuty events. OpsWatch does this by consuming metrics, transforming and enriching them. They can be displayed in dashboards and/or trigger alerts. This gives the operator a single pane of Prometheus with powerful monitoring capabilities.
To meet challenging product design goals and deadlines, today’s complex engineering projects need instant access to state-of-the-art computing infrastructure as well as advanced CAE and CAD software. However, procurement and configuration of these resources at scale can involve large up-front costs and long deployment timelines. Learn how Ansys Gateway powered by AWS facilitates seamless access and deployment of Ansys products on the AWS Cloud.
Gogo is a global provider of broadband connectivity products and services for business aviation. It needed a qualified engineering team to undertake a complete transition of its solutions to the cloud, build a unified data platform, and streamline the best speed of the inflight internet. Learn how N-iX developed the data platform on AWS that aggregates data from over 20 different sources using Apache Spark on Amazon EMR.
Traditional content process workflows are expensive and complex to enhance with artificial intelligence and machine learning technologies. Kablamo’s Digital Asset Management (DAM) solution on AWS leverages leading AI/ML services to enable customers to secure, index, cold-store, and access digital assets across the enterprise. Learn how Kablamo DAM is right-sized for all customer industries and integrates into existing workflows with ease.
Shoreline empowers support and L1 teams to resolve incidents by providing rich debugging capabilities to accelerate root cause analysis, and enables developers with powerful debugging tools to run across their cloud deployments. Shoreline’s library of pre-built automations empowers teams with self-service tools to provide a non-disruptive support experience to customers. With Shoreline, previous remediations that were tedious and time consuming are transformed to an automated and interactive process.