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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.

DevOps 187
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How Is Platform Engineering Different From DevOps and SRE?

DZone

In the dynamic realm of modern software development and operations, terms such as Platform Engineering, DevOps, and Site Reliability Engineering (SRE) are frequently used, sometimes interchangeably, often causing confusion among professionals entering or navigating these domains.

DevOps 169
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Boost DevOps maturity with observability and a data lakehouse

Dynatrace

That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth. All of these factors challenge DevOps maturity. Data scale and silos present challenges to DevOps maturity DevOps teams often run into problems trying to drive better data-driven decisions with observability and security data.

DevOps 191
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DevOps engineer tools: Deploy, test, evaluate, repeat

Dynatrace

As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. DevOps engineer tools can help ease the pressure as environment complexity grows. ” What does a DevOps platform engineer do? A DevOps platform engineer is a more recent term.

DevOps 199
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Achieving High Availability in CI/CD With Observability

DZone

Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, The Modern DevOps Lifecycle: Shifting CI/CD and Application Architectures. By integrating observability tools in CI/CD pipelines, organizations can increase deployment frequency, minimize risks, and build highly available systems.

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What is log management? How to tame distributed cloud system complexities

Dynatrace

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. In short, log management is how DevOps professionals and other concerned parties interact with and manage the entire log lifecycle.

Systems 191
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Accelerate and empower Site Reliability Engineering with Dynatrace observability

Dynatrace

Process Improvements (50%) The allocation for process improvements is devoted to automation and continuous improvement SREs help to ensure that systems are scalable, reliable, and efficient. SREs invest significant effort in enhancing software reliability, scalability, and dependability.