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Key Advantages of DBMS for Efficient Data Management

Scalegrid

Enhanced data security, better data integrity, and efficient access to information. If you’re considering a database management system, understanding these benefits is crucial. Understanding Database Management Systems (DBMS) A Database Management System (DBMS) assists users in creating and managing databases.

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Driving your FinOps strategy with observability best practices

Dynatrace

In response, many organizations are adopting a FinOps strategy. Following FinOps practices, engineering, finance, and business teams take responsibility for their cloud usage, making data-driven spending decisions in a scalable and sustainable manner. Unnecessary data transfer. On-demand payment agreement.

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Plan Your Multi Cloud Strategy

Scalegrid

A well-planned multi cloud strategy can seriously upgrade your business’s tech game, making you more agile. Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in. Thinking about going multi-cloud?

Strategy 130
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Effective Log Data Analysis With Amazon CloudWatch: Harnessing Machine Learning

DZone

In today's cloud computing world, all types of logging data are extremely valuable. Logs can include a wide variety of data, including system events, transaction data, user activities, web browser logs, errors, and performance metrics. This innovative service is transforming the way organizations handle their log data.

Analytics 269
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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

Data proliferation—as well as a growing need for data analysis—has accelerated. They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. We’ll post news here as it happens!

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Our First Netflix Data Engineering Summit

The Netflix TechBlog

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community!

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Efficient SLO event integration powers successful AIOps

Dynatrace

When there isn’t enough traffic (requests/min) for an SLO Detection becomes sporadic, resulting in insufficient data points for establishing the sampling interval necessary for generating “Event duration.” This assumes that if there’s an absence of data, the Service Level Objective (SLO) must be assessed at 100%.