DevOps teams rely on Artifactory as the bread and butter tool of universal binary repo managers, but observing its operations can be challenging. With multiple high availability nodes and unification with Xray as the JFrog DevOps Platform, that operations data is spread out across logs for each service in the JFrog Platform deployment. Operations teams need a view into valuable data insights that can only be gained through real time data mining and observation of the platform.

One reason for building a ‘single source of truth’ for software assets is that it gives the organization control over who can use what when. The ‘wild West’ of public repositories gives no control at all and can lead to a situation in which packages and dependencies of dubious provenance are integrated into builds without a second thought. Within the Cloudsmith world, we want to have the maximum security and control possible.

We’re excited to announce a new KubeAcademy course—Building Images. Designed for developers, devops engineers, and architects, this intermediate-level course covers different approaches for building images. Completing it will give you the skills and understanding needed to easily start building images and maintain them over time.

The Splunk Security Research Team has been working on Kubernetes security analytic stories mainly focused on AWS and GCP cloud platforms. The turn has come now for some Azure Kubernetes security monitoring analytic stories. As outlined in my "Approaching Kubernetes Security — Detecting Kubernetes Scan with Splunk" blog post, when looking at Kubernetes security, there are certain items within a cluster that must be monitored.

If you’re looking to deploy your services to Kubernetes, Helm works great. However, once you start deploying to multiple environments, developing code as a team, or automating in a CI/CD pipeline, you start to run into limitations with Helm. Codefresh Pipelines using Helmfile has the power and flexibility to address these issues and many others. It’s also one of the best ways to organize your Helm code and values.

Between late 2019 and early 2020, I interviewed more than 200 CTOs of growing US and EU startups on the topics of the Cloud and their working methodologies. I discovered that 86% of these SMB startups use the Cloud and that 48% started their business on Heroku and then migrated to a Cloud provider - especially AWS (Amazon Web Services).

Permissions, access controls, user rights, or privileges define what an identity can see or do in an organization. These terms are often used interchangeably based on context, and essentially perform the same function—granting or denying access to the resources in an enterprise.

Hazelcast is a distributed, in-memory computing platform for processing large data sets with extremely low latency. Its in-memory data grid (IMDG) sits entirely in random access memory, which provides significantly faster access to data than disk-based databases. And with high availability and scalability, Hazelcast IMDG is ideal for use cases like fraud detection, payment processing, and IoT applications.