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How observability, application security, and AI enhance DevOps and platform engineering maturity

Dynatrace

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior.

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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs.

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What is platform engineering?

Dynatrace

In response to this shift, platform engineering is growing in popularity. The practice of platform engineering has evolved alongside the increasing complexity of cloud environments. Platform engineers design and implement these platforms, as well as ensure their security, scalability, and reliability.

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DevOps monitoring tools: How to drive DevOps efficiency

Dynatrace

With the world’s increased reliance on digital services and the organizational pressure on IT teams to innovate faster, the need for DevOps monitoring tools has grown exponentially. But when and how does DevOps monitoring fit into the process? And how do DevOps monitoring tools help teams achieve DevOps efficiency?

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DevOps observability: A guide for DevOps and DevSecOps teams

Dynatrace

As organizations accelerate innovation to keep pace with digital transformation, DevOps observability is becoming a critical key to success for DevOps and DevSecOps teams. DevOps and DevSecOps practices help organizations release software faster and more frequently, paving the way for digital transformation.

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DevOps automation: We’re only halfway there

Dynatrace

As a result, organizations are investing in DevOps automation to meet the need for faster, more reliable innovation. Automation is a crucial aspect of achieving DevOps excellence. But according to the 2023 DevOps Automation Pulse , only 56% of end-to-end DevOps processes are automated.

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Enhancing Kubernetes cluster management key to platform engineering success

Dynatrace

Five of the most common include cluster instability, resource and cost management, security, observability, and stress on engineering teams. Engineering teams are overwhelmed with stuff to do.” ” First, Akamas collects metrics, then recommends configuration improvements and applies these recommendations.