Cloud Native Security
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Learn about the native integration of Snyk directly in Bitbucket and briefly cover what you can find in our latest workshop for securing a DevOps pipeline using Snyk, Bitbucket, and AWS.
Just days away from 2022, we’d like to reflect and recap on the progress Snyk Infrastructure as Code has achieved over the year on the path to becoming the leading developer-first IaC solution on the market.
As we approach the end of 2021, we’re taking a look back at the big new capabilities in each of Snyk’s products, and in this post we’re going to focus on Snyk Container.
To help developers adopt security earlier, from code to production, the Snyk and Dynatrace integration allows developers to see the same vulnerabilities across the entire software development lifecycle: development, pre-production, and production.
The Snyk platform works seamlessly with GKE Autopilot: a revolution in managed Kubernetes. Customers can quickly get started securing workloads on GKE Autopilot with Snyk Container's Kubernetes integration and can leverage Snyk CLI with Google Cloud Build as well as integrations with Google Container Registry, Google Artifact Registry, and one of the several Snyk Git repository SCM integrations.
With modern tooling like Snyk and Harness, you can find, fix, and remediate through a CI/CD pipeline and mitigate the risk to the business without affecting your ability to release software quickly.
We are very excited to announce that Snyk has achieved AWS Security Competency status, further validating our commitment to security excellence in partnering with AWS! Tested and Trusted by AWS AWS Competency Programs, such as the AWS Security Competency, validate that partners like Snyk have demonstrated technical proficiency and proven customer success in areas like
In an increasingly cloud native world, infrastructure as code (IaC) is often the first point of entry into an application. And with technologies such as Kubernetes and Terraform becoming increasingly popular, most app developers will update at least one Kubernetes or Terraform resource at one point in their career. But while updating and maintaining infrastructure
In this post, we’ll attend to those concerns and take a look at some 6 best practices when containerizing Python applications with Docker.