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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?

DevOps 216
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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 187
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DevOps automation: From event-driven automation to answer-driven automation [with causal AI]

Dynatrace

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. Though the industry champions observability as a vital component, it’s become clear that teams need more than data on dashboards to overcome persistent DevOps challenges.

DevOps 217
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Dynatrace supports the newly released AWS Lambda Response Streaming

Dynatrace

Streaming raises the default 6 MB hard limit to a 20 MB soft limit, adding greater scalability and flexibility to their applications. Despite being serverless, the function still requires infrastructure on which to run. The difference is the owner of the Lambda function does not have to worry about provisioning and managing servers.

Lambda 212
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Kubernetes vs Docker: What’s the difference?

Dynatrace

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices. What is Docker?

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Redis® Monitoring Strategies for 2024

Scalegrid

Keeping a tab on memory usage provides additional insight into the health of operations running through Redis® servers. This Command Line Interface (CLI) can be used for basic activity metrics and offers powerful real-time data analysis tools, giving you more control over the performance of your servers.

Strategy 130
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Why growing AI adoption requires an AI observability strategy

Dynatrace

FinOps, where finance meets DevOps, is a public cloud management philosophy that aims to control costs. Cloud-based AI enables organizations to run AI in the cloud without the hassle of managing, provisioning, or housing servers. They can do so by establishing a solid FinOps strategy. What is AI observability?

Strategy 219