DevSecOps—Development, security and operations
Empower DevSecOps at scale with a unique approach to securing cloud-native applications at runtime combined with intelligent automation.
What is DevSecOps?
DevSecOps is a collaboration framework that expands the impact of DevOps by adding security practices to the software development and delivery process. DevSecOps resolves the tension between DevOps teams that want to release software quickly, and security teams that prioritize security over all else.
By integrating application security principles and practices into software development and operations, teams can deliver new software and services at agile speed without compromising application security.
Turbo-charge DevSecOps with Dynatrace Application Security and 360-degree observability
Conventional approaches to application security can’t keep pace with cloud-native environments that use agile methodologies and API-driven architectures, microservices, containers, and serverless functions.
Dynatrace Application Security is built for speed. It combines the automation, AI, and the enterprise-scale of the Dynatrace Software Intelligence platform with continuous runtime application vulnerability detection capabilities to deliver application security that enables DevSecOps teams to release software quickly and securely.
Six DevSecOps best practices for data-driven automation
As organizations adopt cloud-native technologies, DevSecOps best practices become a top priority for teams looking to increase DevSecOps automation.
But while cloud-native technologies provide organizations with greater capability, flexibility, and scale, they also make application environments more complex. This complexity makes it harder to ensure that applications are secure.
In most organizations, development and security teams operate separately. Integrating development, operations, and security practices is a crucial first step toward improving DevSecOps automation and security response. However, teams still struggle with cross-team collaboration and keeping up with fast-evolving security vulnerabilities and attacks.
This eBook presents six essential DevSecOps best practices that provide a blueprint to help teams optimize DevSecOps automation, efficiency, and application security.
7 criteria for unified observability and security at scale
Automate DevOps and accelerate your innovation cycles
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Vulnerability detection optimized for Kubernetes and DevSecOps
Dynatrace Application Security provides automated vulnerability detection and risk assessment across the entire software development lifecycle and in every operating environment, including dynamic multiclouds and Kubernetes clusters. No manual steps are required.
Integrate DevOps and security to release software quickly and safely
A key benefit of DevSecOps is to coordinate the efforts of DevOps and security teams, which traditionally work in separate silos.
Dynatrace Application Security enables DevOps and security teams to work together so they can understand risk in context, using a single platform and a common data set. When DevSecOps teams are aligned on the same vulnerability intelligence, they can resolve vulnerabilities that matter, eliminate false positives, and focus on addressing vulnerabilities that are actually exposed in production.
Automate DevSecOps with precise AI-driven answers
The ultimate goal of a DevSecOps initiative is to automate security practices and vulnerability detection into a continuous delivery workflow. As developers gain more responsibility to push applications all the way to production, they are under pressure to release code quickly.
With Dynatrace Application Security, DevSecOps teams automatically receive information about the vulnerabilities in their software builds. Every build gets checked, every time. What's more, Dynatrace AI ensures the risk assessment is precise and accurate, taking into account the actual libraries called in context of the environment and other dependencies involved.
Software intelligence for all DevSecOps teams
Harness automatic and intelligent observability at the core of the Dynatrace platform to innovate faster with greater confidence and collaborate more effectively
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Davis AI
Our hypermodal AI uniquely combines predictive AI, causal AI, and generative AI. Davis® AI uses high-fidelity topology, metrics, traces, logs, and user data to deliver precise answers, intelligent automation, and AI recommendations.
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AutomationEngine
Our answer-driven automation technology leverages causal AI to intelligently power BizDevSecOps workflows throughout multicloud ecosystems.
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AppEngine
Our secure, serverless, auto-scaling runtime environment makes it easy to create custom, compliant, data-driven apps that address the use cases most important to you.
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Grail
Our massively parallel processing (MPP) data lakehouse is purpose-built to ingest, store, and run lightning-fast analytics on observability, security, and business data with high performance and at scale.
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Smartscape
Our dynamic topology mapping technology automatically identifies and maps interactions and relationships between applications and the underlying infrastructure. As new microservices come up or go away, the Smartscape topology map continuously updates in real-time.
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OpenPipeline
Our high-performance stream processing is designed to ingest, process, enrich, contextualize, and persist data from any source, in any format, at any scale.
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OneAgent
Our single agent technology deploys only once on a host and instantly starts collecting all relevant metrics along the full application-delivery chain. Install it and forget it—we take care of everything.
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PurePath
Our patented distributed tracing and code-level analysis technology automatically integrates high-fidelity distributed tracing with user experience data and data from open-source technologies including OpenTelemetry and code-level analytics.