Best DevSecOps Tools for Google Kubernetes Engine (GKE)

Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.

You can instantly centralize, monitor, analyze, and report logs from any platform at any volume. Log aggregation, custom-parsing, smart alarming, role-based access controls, real time search, graphs and log analysis are all seamlessly integrated in this suite of tools. Our cloud-based SaaS solution is ready in just two minutes. It collects logs from AWS and Docker, Heroku, Elastic, and other sources. Running Kubernetes? Log in to two kubectl commands. Simple, pay per GB pricing without paywalls or overage charges. Fixed data buckets are also available. Pay only for the data that you use on a monthly basis. We are Privacy Shield certified and comply with HIPAA, GDPR, PCI and SOC2. Your logs will be protected in transit and storage with our military-grade encryption. Developers are empowered with modernized, user-friendly features and natural search queries. We save you time and money with no special training.

A completely serverless platform, Cloud Build dynamically adjusts its capacity to match the load, eliminating the need for pre-provisioning servers or making advance payments for extra capacity, allowing users to pay solely for what they consume. Enterprises benefit from the ability to incorporate custom build steps and pre-built extensions for third-party applications, seamlessly integrating legacy or custom tools into their build processes. To enhance security within the software supply chain, it offers vulnerability scanning and can automatically prevent the deployment of compromised images according to policies established by DevSecOps teams. The service's ability to scale up and down means that there is no infrastructure to manage, upgrade, or expand. Additionally, builds can be executed in a fully managed environment across various platforms, including Google Cloud, on-premises, other public clouds, or private networks. Users can also create portable images directly from the source without needing a Dockerfile, thanks to buildpacks. Support for Tekton pipelines running on Kubernetes further provides scalability and self-healing advantages inherent to Kubernetes, while maintaining flexibility and avoiding vendor lock-in. As a result, organizations can focus on their development processes without the burden of managing underlying infrastructure.

Comprehensive security throughout the entire lifecycle of containerized and serverless applications, spanning from the CI/CD pipeline to operational environments, is essential. Aqua can be deployed either on-premises or in the cloud, scaling to meet various needs. The goal is to proactively prevent security incidents and effectively address them when they occur. The Aqua Security Team Nautilus is dedicated to identifying emerging threats and attacks that focus on the cloud-native ecosystem. By investigating new cloud security challenges, we aim to develop innovative strategies and tools that empower organizations to thwart cloud-native attacks. Aqua safeguards applications from the development phase all the way to production, covering VMs, containers, and serverless workloads throughout the technology stack. With the integration of security automation, software can be released and updated at the rapid pace demanded by DevOps practices. Early detection of vulnerabilities and malware allows for swift remediation, ensuring that only secure artifacts advance through the CI/CD pipeline. Furthermore, protecting cloud-native applications involves reducing their potential attack surfaces and identifying vulnerabilities, embedded secrets, and other security concerns during the development process, ultimately fostering a more secure software deployment environment.

Identity and Data Protection for AWS and Azure, Google Cloud, and Kubernetes. Sonrai's cloud security platform offers a complete risk model that includes activity and movement across cloud accounts and cloud providers. Discover all data and identity relationships between administrators, roles and compute instances. Our critical resource monitor monitors your critical data stored in object stores (e.g. AWS S3, Azure Blob), and database services (e.g. CosmosDB, Dynamo DB, RDS). Privacy and compliance controls are maintained across multiple cloud providers and third-party data stores. All resolutions are coordinated with the relevant DevSecOps groups.