Security Operations

DevOps

Arnica

Building a modern containerized workflow and deployment pipeline using cloud-native services, automate the deployment.

Customer profile

Arnica is a behavior-based software supply chain security platform for DevOps. Arnica proactively protects enterprise software supply chain by automating the day-to-day security operations and empowering developers to own security without incurring risks or compromising velocity.

The Challenge

Arnica was looking for an expert Cloud DevOps and DevSecOps partner to: Operationalize dockerized container infrastructure and deployment. Build enterprise-scale DevOps and DevSecOps Workflows for critical applications. Build a CI/CD platform for agile application deployment and delivery. Automate using IaC. Build tooling for Monitoring, Observability, Tracing, and Operational Integration of Applications.

The Solution

Tactical Edge AI's team of cloud architects developed a container-based workflow and deployment pipeline utilizing AWS-native services. They streamlined deployment automation using AWS Cloud Development Kit (CDK) and Terraform. For real-time monitoring of essential applications, they constructed Amazon CloudWatch dashboards. They also established a robust error notification and alarm system for infrastructure services, integrating Pager Duty, Amazon Simple Email Service (SES), Amazon Simple Queue Service (SQS), AWS Lambda, and Amazon Cognito metrics. Furthermore, the team automated the configuration of diverse infrastructures, including Amazon EMR clusters, to facilitate Data Science environments. They ensured a secure setup by implementing targeted security measures, including specific guardrails, comprehensive security policies, and advanced firewalls.

The Solution

Tactical Edge AI's team of cloud architects developed a container-based workflow and deployment pipeline utilizing AWS-native services. They streamlined deployment automation using AWS Cloud Development Kit (CDK) and Terraform. For real-time monitoring of essential applications, they constructed Amazon CloudWatch dashboards. They also established a robust error notification and alarm system for infrastructure services, integrating Pager Duty, Amazon Simple Email Service (SES), Amazon Simple Queue Service (SQS), AWS Lambda, and Amazon Cognito metrics. Furthermore, the team automated the configuration of diverse infrastructures, including Amazon EMR clusters, to facilitate Data Science environments. They ensured a secure setup by implementing targeted security measures, including specific guardrails, comprehensive security policies, and advanced firewalls.
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