Tag: AWS Partner Success Stories

With increasing cloud innovation, distributed teams need visibility into their deployed cloud resources, dependencies, and budgets when architecting new applications or reconfiguring existing solutions. Cloudcraft by Datadog helps companies achieve this cross-team alignment and enables teams to visualize and document architectures, analyze costs, run compliance audits through shareable diagrams, and automate diagram updates as infrastructure evolves.

Comprinno migrated a fitness app’s databases from Google Cloud to AWS to reduce costs. Challenges included migrating large PostgreSQL databases without downtime and accessing Google’s managed subnets. Comprinno established a VPN between clouds, used a SQL proxy to enable the AWS Database Migration Service, and parallelized data loading to meet the tight migration window. By moving to Graviton-based Amazon RDS, the customer reduced database costs by 30%.

Containers are a leading method for packaging applications, with Kubernetes emerging as the top orchestration solution. You can enable secure and efficient self-service cluster provisioning on Amazon EKS using open-source tools like AWS Controllers for Kubernetes (ACK), Kyverno, and ArgoCD. This post demonstrates how enterprises can leverage these tools along with Nirmata’s Policy Manager to streamline EKS cluster management, apply security policies, and ensure compliance in a Kubernetes environment.

Explore how LenelS2, a Carrier company, transformed its existing OnGuard thick-client application into a software-as-a-service (SaaS) solution on AWS utilizing the multi-session feature of Amazon AppStream 2.0. With this approach, LenelS2 successfully streamed the OnGuard desktop application to users via the internet without the need to redesign the core application.

In the dynamic digital landscape, enterprises are embracing cloud computing for its scalability and high availability. As cloud migration becomes a strategic priority, efficient cloud management is crucial. Tech Mahindra’s iCOPS (Intelligent Cloud Operations and Subscription Management Services) is a comprehensive platform designed to streamline cloud operations, enhance security, and optimize costs on AWS. iCOPS automates tasks like provisioning and deployment to help maximize their AWS investments.

Organizations can achieve robust cloud network security by combining Arista Network Detection and Response (NDR) with AWS traffic mirroring. This provides deep packet inspection and threat monitoring without disrupting traffic flow. Arista’s AI-driven NDR platform maps the attack surface and detects threats across networks. The solution automates enabling traffic mirroring as AWS instances spin up/down, ensuring seamless security coverage in dynamic environments.

Cornerstone Consulting Group developed a plugin to simplify migrating on-premises or Amazon EC2 self-managed Apache Kafka clusters to Amazon MSK. The plugin automates MirrorMaker 2 replication, scales connectors, and integrates monitoring and notifications. It supports requirements like zero data loss, minimal code changes, auto-scaling, and performance/security parity. The plugin eases complex setup steps, working seamlessly for a smooth cutover to Amazon MSK after replication completes.

Many European customers face data sovereignty challenges due to regulations and want to adopt cloud while meeting requirements around data location, autonomy, and resilience. Eviden’s advisory services help define a tailored sovereignty framework. Its implementation services with AWS enforce technical, operational, and organizational compliance. Eviden guides customers’ full cloud journey adhering to their sovereignty needs leveraging AWS services.

Amazon Security Lake centralizes security data from multiple AWS sources into a customer-owned data lake. A New Relic integration provides a single pane for performance and security telemetry, ingests Amazon Security Lake data, and allows threat detection via curated dashboards and anomaly alerts. This solution improves cloud security posture by consolidating data, providing insights, and enabling automated response to potential threats.

Amazon Athena allows analyzing petabytes of data directly with SQL queries or via analytics tools like ThoughtSpot. This post covers creating an IAM access key, two Amazon S3 buckets (one for data storage, one for query results), creating an Amazon Athena table from sample data using an AWS Glue crawler, and establishing a connection between Athena and ThoughtSpot. With the connection, ThoughtSpot can search and visualize the Athena data using AI capabilities.