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Understanding the Role of ERP Systems in Modern Software Development

DZone

ERP systems are crucial in modern software development because they integrate various organizational departments and functions. ERP systems offer standardized processes, enabling developers to accelerate development cycles and align with industry best practices.

Systems 169
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Google Cloud Next 2024: AI innovation for Google Cloud

Dynatrace

As organizations continue to expand within cloud-native environments using Google Cloud, ensuring scalability becomes a top priority. Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing. Learn to boost system reliability through proactive issue detection.

Google 271
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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 193
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Artificial Intelligence in Cloud Computing

Scalegrid

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. AI models integrated into cloud systems offer flexibility, enable agile methodologies, and ensure secure systems.

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Easily monitor IBM i with updated Dynatrace extension

Dynatrace

IBM i, formerly known as iSeries, is an operating system developed by IBM for its line of IBM i Power Systems servers. It is based on the IBM AS/400 system and is known for its reliability, scalability, and security features. It then collects performance data using existing database services running on your system.

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How observability, application security, and AI enhance DevOps and platform engineering maturity

Dynatrace

Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior. The deep visibility and insights that observability provides allow teams to take proactive measures early in the software development life cycle (SDLC).

DevOps 199
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Boost DevOps maturity with observability and a data lakehouse

Dynatrace

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. That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth.

DevOps 192