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Intelligent observability for Oracle and SQL databases

Dynatrace

While applications are built using a variety of technologies and frameworks, there is one thing they usually have in common: the data they work with must be stored in databases. Now, Dynatrace has gone a step further and expanded its coverage and intelligent observability into the next layer: database infrastructure.

Database 242
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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 186
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Managing hybrid cloud infrastructure with an observability platform

Dynatrace

While many companies now enlist public cloud services such as Amazon Web Services, Google Public Cloud, or Microsoft Azure to achieve their business goals, a majority also use hybrid cloud infrastructure to accommodate traditional applications that can’t be easily migrated to public clouds. How to modernize for hybrid cloud.

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Mastering Kubernetes deployments with Keptn: a comprehensive guide to enhanced visibility

Dynatrace

External dependencies Many applications rely on external services, such as databases, APIs, or third-party services. Infrastructure health The underlying infrastructure’s health directly impacts application availability and performance. Consider a scenario where a web application depends on an external payment gateway.

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What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

Dynatrace

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. Capturing data is critical to understanding how your applications and infrastructure are performing at any given time. Span ingestion.

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RSA Guide 2023: Cloud application security remains core challenge for organizations

Dynatrace

Observability is critical for monitoring application performance, infrastructure, and user behavior within hybrid, microservices-based environments. This includes collecting metrics, logs, and traces from all applications and infrastructure components.

Cloud 189
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What is log analytics? How a modern observability approach provides critical business insight

Dynatrace

It’s also common for teams, as part of their log monitoring practice, to write business metrics to a log that can then be tracked on a dashboard or trigger an alert. As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics. A lack of end-to-end observability.

Analytics 217