We are thrilled to announce native support of Kong Mesh, Istio and Kuma within Styra Declarative Authorization Service (DAS), enabling users to combine stellar service mesh solutions with the only authorization management platform that supports trusted cloud architecture. Styra DAS allows teams to manage policies across a broad spectrum of systems, like Kubernetes, microservices, public cloud, and more.

Authorization is a critical part of developing any application. When building an app, at some point you will want to control the data and views that a user or system has access to, and one way you can do that is by writing authorization directly into your app. However, over time this can be challenging to manage because when you make changes to your authorization policies you also need to make changes to the application.

One of the most critical aspects of managing policy-as-code at scale is ensuring safety when deploying policy changes to production workloads. A misconfiguration or errant rule can lead to consequences such as overly permissive systems, service outages, and other forms of application or platform issues.

It has been one year since I joined Styra as the first European hire, and what a year it has been! Not only have we significantly grown our customer footprint with enterprises such as Zalando, European Patent Office and Extenda Retail, but the EMEA team has been growing at a rapid pace across engineering, sales and customer success and open source! I thought I’d share some takeaways on the industry / market from my interactions with customers and the community.

It’s been a great year so far for the Open Policy Agent (OPA) project and community. OPA achieved graduated status in the Cloud Native Computing Foundation (CNCF) in February and is quickly nearing 100 million downloads! With all this growth, we were excited to see the results of the second annual Open Policy Agent user survey. As I mentioned in my post on the Open Policy Agent blog, we survey the community to help better steer the project's long-term roadmap in the right direction.

Not only has cloud native transformed the velocity in which organizations execute and maintain business operations, but it has also redefined storage, network and compute. From the infrastructure that IT operations maintains, to the applications that supply customers with the ability to interact with their data—DevOps teams have to deliver more services than ever, and they have to do it fast, with little to no error. Easy, right?

Cloud native tooling for authorization is an emerging trend poised to revolutionize how we approach this oft-neglected part of our applications. Open Policy Agent (OPA) is the leading contender to become a de-facto standard for applying policies to many different systems — from workloads running on Kubernetes to requests passing through Istio.

Open Policy Agent (OPA) is rapidly becoming a cornerstone in the management and maintenance of secure and compliant systems that align with industry and organizational best practices. As more organizations begin — or continue — their cloud-native digital transformation, the importance of policy-as-code only increases. Sometimes, though, becoming an expert in yet another tool or language isn’t in the cards.

The Kubernetes community created a feature in v1.10 called Pod Security Policy (PSP) to control the security-related fields for pods defined in your Kubernetes cluster. Now that PSP is being deprecated in Kubernetes v1.21, what should you do to secure your Kubernetes cluster? In this blog, we’ll learn a bit about PSP, explore why it’s being deprecated and how Open Policy Agent (OPA) can ease the migration from PSP.

The shift to cloud-native has transformed the way organizations do business, keep up with the competition and meet the demands of customer expectations. From the infrastructure that maintains IT operations to the applications that supply customers with the ability to interact with their data, the velocity in which DevOps teams have to deliver these services has significantly increased, leaving little to no room for error.