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Efficient SLO event integration powers successful AIOps

Dynatrace

It is reiterated that the positioning of this SLO includes the selection of strategic factors (entity positioning within the application architecture = ServiceFlow, sufficient traffic in requests per minute, etc). Contact Sales The post Efficient SLO event integration powers successful AIOps appeared first on Dynatrace news.

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DevOps engineer tools: Deploy, test, evaluate, repeat

Dynatrace

As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. DevOps engineer tools can help ease the pressure as environment complexity grows. ” What does a DevOps platform engineer do? .”

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Key Advantages of DBMS for Efficient Data Management

Scalegrid

Enhanced data security, better data integrity, and efficient access to information. Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity.

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The state of site reliability engineering: SRE challenges and best practices in 2023

Dynatrace

Site reliability engineering (SRE) has become increasingly important to organizations looking to keep up with the rapid pace of digital transformation. Effective site reliability engineering requires enterprise-wide transformation Without a unified understanding of SRE practices, organizational silos can quickly form between departments.

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What is chaos engineering?

Dynatrace

But with the complexity that comes with digital transformation and cloud-native architecture, teams need a way to make sure applications can withstand the “chaos” of production. Chaos engineering answers this need so organizations can deliver robust, resilient cloud-native applications that can stand up under any conditions.

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1. Streamlining Membership Data Engineering at Netflix with Psyberg

The Netflix TechBlog

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. Our audits would detect this and alert the on-call data engineer (DE).

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Less is More: Engineering Data Warehouse Efficiency with Minimalist Design

Uber Engineering

In our experience, optimizing for operational efficiency requires answering one key question: for which tables does the maintenance cost supersede utility? Once identified, … The post Less is More: Engineering Data Warehouse Efficiency with Minimalist Design appeared first on Uber Engineering Blog.