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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. They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging.

DevOps 180
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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 205
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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. Comparing log monitoring, log analytics, and log management. It is common to refer to these together as log management and analytics.

Systems 183
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Technology predictions for 2024: Dynatrace expectations for observability, security, and AI trends

Dynatrace

And a staggering 83% of respondents to a recent DevOps Digest survey have plans to adopt platform engineering or have already done so. 2: AI-generated code will create the need for digital immune systems. Data indicates these technology trends have taken hold. Technology prediction No.

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Digital Business Analytics: Let’s get started!

Dynatrace

We introduced Digital Business Analytics in part one as a way for our customers to tie business metrics to application performance and user experience, delivering unified insights into how these metrics influence business milestones and KPIs. A sample Digital Business Analytics dashboard. Dynatrace news.

Analytics 206
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What is full stack observability?

Dynatrace

DevOps teams can also benefit from full-stack observability. They can get accurate, real-time feedback from integration or production systems, resolving UX issues and application performance challenges more quickly. With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting.

DevOps 228
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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. The time and effort saved with testing and deployment are a game-changer for DevOps. Watch webinar now! In production, containers are easy to replicate.