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Hybrid cloud infrastructure explained: Weighing the pros, cons, and complexities

Dynatrace

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. That’s because cloud platforms offer flexibility and extensibility for an organization’s existing infrastructure. Dynatrace news.

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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

The development of internal platform teams has taken off in the last three years, primarily in response to the challenges inherent in scaling modern, containerized IT infrastructures. The ability to effectively manage multi-cluster infrastructure is critical to consistent and scalable service delivery.

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What is full stack observability?

Dynatrace

Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Dynatrace news.

DevOps 233
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Dynatrace ensures continuous software quality by combining synthetic monitoring and automatic release validation

Dynatrace

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. DevOps best practices include testing within the CI/CD pipeline, also known as shift-left testing. Dynatrace news.

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Automate CI/CD pipelines with Dynatrace: Part 4, Validation stage

Dynatrace

This view seamlessly correlates crucial events across all affected components, eliminating the manual effort of sifting through various monitoring tools for infrastructure, process, or service metrics. As a result, businesses and SREs can redirect their manual diagnostic efforts toward fostering innovation. What’s next?

DevOps 205
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Black Hat 2023: Pairing causal AI and generative AI for cybersecurity threats

Dynatrace

These precise answers and intelligent automations free security analysts from manual activities and enable them to focus on innovating. To address this, organizations are integrating DevOps and security, or “DevSecOps,” to detect and respond to software vulnerabilities in development and production faster and more efficiently.

DevOps 187
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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

DevOps teams often use a log monitoring solution to ingest application, service, and system logs so they can detect issues at any phase of the software delivery life cycle (SDLC). Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient. Accelerated innovation.

Analytics 211