Category: DevOps

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.

Organizations are rapidly adopting containerized environments using AWS Fargate for developer efficiency. Sysdig uses advanced instrumentation to provide real-time visibility into AWS Fargate containers to detect threats. With policies and automatic response, Sysdig Secure enables AWS Fargate workload protection without requiring code changes. As an AWS Specialization Partner, Sysdig helps secure cloud-native applications on AWS.

AWS customers can run Kubernetes on managed services like Amazon EKS or self-managed options. To secure these environments, Red Hat Advanced Cluster Security for Kubernetes (RHACS) detects vulnerabilities and policy violations. Its findings can be sent to AWS Security Hub which aggregates security issues across AWS services. This post walks through installing RHACS on Red Hat OpenShift Service on AWS, creating policies in RHACS, and integrating with Security Hub to view findings.

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.

Complying with FedRAMP poses challenges for DevOps teams, including slower deployment speeds, process overhead, and complex AWS GovCloud requirements. To optimize velocity while maintaining compliance, organizations can shift security controls left, automate workflows, and architect secure in-boundary pipelines. With the proper frameworks, teams can increase deployment frequency and reduce change failure rates in FedRAMP environments.

Crayon’s customizable landing zone accelerator automates setup of a secure, scalable AWS environment aligned to best practices. It establishes foundational accounts, applies baseline security controls, and integrates AWS services across the organization to drive cloud adoption for companies migrating to AWS while also improving governance for existing customers. Crayon guides customers through the landing zone build and subsequent workload migration, providing automation kits to speed deployments.

AWS Partner Neurons Lab provides a step-by-step guide to deploy containerized applications on AWS using GitHub Actions, AWS CDK, and other key services. Neurons Lab, with expertise across data science, cloud, and business strategy, solves complex AI challenges and accelerates migration journeys for organizations seeking to modernize through AI integration on AWS. By leveraging AWS CDK constructs to define infrastructure as code, this reusable solution streamlines infrastructure setup and deployments.

AWS Cloud Development Kit (AWS CDK) can save time while developing infrastructure as code in your preferred language, such as JavaScript/TypeScript, or Python. This post provides reference framework for customers which can save time implementing GitLab Pipelines using AWS CDK for a secured and reliable deployment experience across their teams. Many organizations use GitLab as a CI/CD platform for their cloud infrastructure and application deployments on AWS.

Customers use AWS Service Catalog to create and manage a catalog of IT services and products approved for use on AWS. Learn how to use AWS Service Catalog Engine for Terraform Cloud to provision your products and benefit from a self-service provisioning model that removes the heavy lifting of managing Terraform infrastructure. End users with a pre-validated catalog of infrastructure and enforce governance through Terraform Cloud features such as team permissions, run tasks, and policy sets.

By automating performance testing and including chaos testing, organizations can identify failure scenarios in systems before they develop and cause downtime. Learn how Distributed Load Testing on AWS (DLT) automates performance testing at scale, and how AWS Fault Injection Simulator (AWS FIS) performs controlled chaos engineering experiments on AWS resources. By combining the power of AWS FIS and DLT, organizations can perform comprehensive resilience testing and continuously validate their systems.