Curated articles, resources, tips and trends from the DevOps World.
As a builder, AWS CloudFormation provides a reliable way for you to model, provision, and manage AWS and third-party resources by treating infrastructure as code.
Cybersecurity is a critical concern for organizations of all sizes. Implementing robust security measures is a best practice and essential to protect against increasingly sophisticated cyber threats.
The Cyber Incident Reporting for Critical Infrastructure Act (CIRCIA) is an important legislation that outlines how critical infrastructure sectors should deal with cybersecurity threats.
Starting today, Rust developers can store and access their libraries (known as crates in Rust’s world) on AWS CodeArtifact. Modern software development relies heavily on pre-written code packages to accelerate development.
It’s been just 3 months since Anthropic launched Claude 3, a family of state-of-the-art artificial intelligence (AI) models that allows you to choose the right combination of intelligence, speed, and cost that suits your needs. Today, Anthropic introduced Claude 3.
We’re excited to announce the beta release of a new feature for inspecting GitHub Actions builds directly in Docker Desktop 4.31. Centralized CI/CD environments, such as GitHub Actions, are popular and useful, giving teams a single location to build, test, and verify their deployments.
Many customers use Amazon Elastic Container Service (ECS) for running their mission critical container-based applications on AWS. These customers are looking for safe deployment of application and infrastructure changes with minimal downtime, leveraging AWS CodeDeploy and AWS CloudFormation.
The CloudFormation Linter, cfn-lint, is a powerful tool designed to enhance the development process of AWS CloudFormation templates.
Today, we are thrilled to announce the general availability of a fully managed MLflow capability on Amazon SageMaker. MLflow, a widely-used open-source tool, plays a crucial role in helping machine learning (ML) teams manage the entire ML lifecycle.
Ongoing monitoring is a key step in effective Third-Party Risk Management (TPRM) that helps ensure continuous compliance, cybersecurity performance, and risk management of external vendors and service providers.
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