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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 220
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Keeping DevOps cool in a heated environment

Dynatrace

Dynatrace’s AI engine, Davis automatically identified high traffic surges on the county website as the fire took hold. Dynatrace was able to tell the county you have high traffic on your site due to an influx of residents specifically seeking information on the Woolsey Fire. High Traffic Notification.

DevOps 160
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What is a service mesh?

Dynatrace

This becomes even more challenging when the application receives heavy traffic, because a single microservice might become overwhelmed if it receives too many requests too quickly. A service mesh is a dedicated infrastructure layer built into an application that controls service-to-service communication in a microservices architecture.

Traffic 241
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Digital transformation strategies: Success stories from three digital transformation journeys

Dynatrace

Some of the benefits organizations seek from digital transformation journeys include the following: Increased DevOps automation and efficiency. Consumers expect personalized, proactive, and convenient service, which traditional application architectures often struggle to provide. Improved customer experience. Competitive advantage.

Strategy 175
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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed. That’s why good communication between SREs and DevOps teams is important. The result is safer, more secure releases for DevOps teams and less overhead for SREs.

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Bringing IT automation to life at Dynatrace Innovate Barcelona

Dynatrace

With Grail, for example, a DevOps team can pre-scan logs. With this process, DevOps teams can identify whether code includes a high-priority bug that has to be fixed immediately. As a result, the team found that cloud architecture had resulted in overprovisioning of resources. The plattorm can pre-analyze and classify logs.

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Architected for resiliency: How Dynatrace withstands data center outages

Dynatrace

The fact is, Reliability and Resiliency must be rooted in the architecture of a distributed system. The email walked through how our Dynatrace self-monitoring notified users of the outage but automatically remediated the problem thanks to our platform’s architecture. via Jenkins, GitLab, Azure DevOps, Keptn.

AWS 189