Category: Integration & Automation

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.

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.

Integrating security scanning into infrastructure as code (IaC) allows detecting misconfigurations early in development. This post explores using the KICS plugin from Checkmarx with AWS CDK. Learn how KICS performs static code analysis to find vulnerabilities and compliance issues in IaC and scans the CDK code to report findings, failing the command for high-severity issues. This shifts security left, mitigating risks in deployed infrastructure.

ServiceNow and AWS have collaborated to bridge language barriers in global workforces. Using AWS services like Amazon Translate and Amazon Comprehend, the AWS Translate Spoke for ServiceNow Flow Designer enables automatic translation of text into employees’ native languages. By demonstrating how the AWS Translate Spoke can translate knowledge articles, this post explains how ServiceNow customers can easily build multi-language workflows to serve global users.

Noventiq developed uDMS, a smart document management system hosted on AWS serverless architecture that removes the need to manage servers while ensuring scalability, cost-efficiency, and global accessibility. uDMS offers easy document tracking, metadata templating, workflow notifications, version control, and integrates well with other systems. It demonstrates how a serverless architecture can enable rapid deployment and modernization of legacy document management systems.

AWS Backup simplifies policy-based data protection at scale, and observability offers insights into the backup process for monitoring, issue detection, troubleshooting, and optimization. This ensures backup dependability, efficiency, and security. CloudQuery enables managing and visualizing AWS Backup across accounts, including backup health, configuration, and protected resources to facilitate building a robust compliance posture.

Many organizations are migrating mainframe workloads to AWS to modernize applications and infrastructure. Mainframe batch jobs are business-critical, so AWS integrated its Mainframe Modernization service with BMC’s Control-M workflow orchestrator. Control-M automates and monitors batch jobs on-premises and in the cloud. This integration provides end-to-end visibility, prevents service degradation, and avoids missed SLAs.

As organizations modernize mainframe applications, integrating mainframe batch workloads into cloud environments is a key challenge. Stonebranch’s scheduler integrates with AWS Mainframe Modernization service to enable centralized, automated scheduling and monitoring of mainframe batch jobs on the cloud. This improves efficiency, optimizes costs, and accelerates mainframe modernization by enabling seamless workload orchestration across legacy and modern platforms.

For applications running outside AWS, developers often create IAM users with long-lived credentials which can increase security risks. Instead, learn how to integrate AWS IAM Web Identity Roles with Microsoft Entra ID for centralized user management. This post walks through manual setup steps to register an app in Entra ID and create a role in AWS, and describes an automated architecture to synchronize Entra ID service principals and AWS roles.

Many startups want to use machine learning but struggle with developing scalable MLOps pipelines. Automat-IT’s MLOps Accelerator helps startups fast-track their machine learning journey and provides an end-to-end automated solution for the ML lifecycle, from data preparation to deployment, leveraging AWS services. With customizable pipelines and dedicated ML experts, Automat-IT empowers various roles to develop, operationalize, and monitor models efficiently.