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Error Monitoring vs Defect Monitoring: Key Differences

DZone

Identifying defects and troubleshooting for their root cause is one of the important but painful tasks in software engineering and essential to maintaining good quality software. To help them in the quest for improving MTTR, software developers use application monitoring tools.

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SRE Best Practices for Java Applications

DZone

Site reliability engineering (SRE) plays a vital role in ensuring Java applications' high availability, performance, and scalability. This discipline merges software engineering and operations, aiming to create a robust infrastructure that supports seamless user experiences.

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Connect your software with the right people: Ownership drives effective collaboration

Dynatrace

Searching for the right people can take time, especially in large and complex software environments. To address this need, Dynatrace now provides automation for DevSecOps collaboration that associates ownership information with monitored services to further minimize mean-time-to-restore (MTTR).

Software 246
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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. AWS monitoring best practices. Automate monitoring tasks.

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Kubernetes Observability: Lessons Learned From Running Kubernetes in Production

DZone

In recent years, observability has re-emerged as a critical aspect of DevOps and software engineering in general, driven by the growing complexity and scale of modern, cloud-native applications.

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5 powerful use cases beyond debugging for Dynatrace Live Debugger

Dynatrace

Performance benchmarking Performance benchmarking is one of the unresolved mysteries of software engineering. Maybe you want to monitor performance under different system loads. Modern software practices are notorious for making code extremely hard to debug. In many ways, it’s more of an art than a science.

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A New Era Has Come, and So Must Your Database Observability

DZone

Software engineers didn’t need to understand the database, and even if they owned it, it was just a single component of the system. Guaranteeing software quality was much easier because the deployment happened rarely, and things could be captured on time via automated tests.

Database 288