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Three smart log ingestion strategies in Dynatrace (without OneAgent)

Dynatrace

In this blog, we share three log ingestion strategies from the field that demonstrate how building up efficient log collection can be environment-agnostic by using our generic log ingestion application programming interface (API). Log ingestion strategy no. Log ingestion strategy No. Log ingestion strategy No.

Strategy 185
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The state of observability in 2024: Accelerating transformation with AI, analytics, and automation

Dynatrace

The latest Dynatrace report, “ The state of observability 2024: Overcoming complexity through AI-driven analytics and automation ,” explores these challenges and highlights how IT, business, and security teams can overcome them with a mature AI, analytics, and automation strategy.

Analytics 196
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Boost DevOps maturity with observability and a data lakehouse

Dynatrace

Research has found that 99% of organizations have embraced a multicloud architecture. When data storage strategies become problematic to DevOps maturity Data warehouse-based approaches add cost and time to analytics projects. Cloud complexity leads to data silos Most organizations are battling cloud complexity.

DevOps 188
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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

Further, automation has become a core strategy as organizations migrate to and operate in the cloud. More than 70% of respondents to a recent McKinsey survey now consider IT automation to be a strategic component of their digital transformation strategies. However, turning those logs into meaningful insights requires a data lakehouse.

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Key Advantages of DBMS for Efficient Data Management

Scalegrid

This article cuts through the complexity to showcase the tangible benefits of DBMS, equipping you with the knowledge to make informed decisions about your data management strategies. Scalability and Flexibility Scalability in DBMS refers to the system’s capacity to expand and accommodate the growing data needs of an organization.

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What is a Distributed Storage System

Scalegrid

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130
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Causal AI use cases for modern observability that can transform any business

Dynatrace

Marketers can use these insights to better understand which messages resonate with customers and tailor their marketing strategies accordingly. Data lakehouses combine a data lake’s flexible storage with a data warehouse’s fast performance. That’s why many organizations turn to data lakehouses.