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Dynatrace extends automatic and intelligent observability to cloud and Kubernetes logs for smarter automation at scale

Dynatrace

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Leverage log analytics for additional context. Dynatrace news.

Cloud 259
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What is IT operations analytics? Extract more data insights from more sources

Dynatrace

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 188
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. What is an MPP Database?

Big Data 321
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MariaDB vs MySQL: Key Differences and Use Cases

Percona

Before we dive into the differences between MariaDB and MySQL, we will provide a thorough examination of each relational database management system (RDBMS). While originally designed to be a drop-in replacement for MySQL, it evolved into its own distinct database management system and is now maintained and supported by the MariaDB Foundation.

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Mastering Hybrid Cloud Strategy

Scalegrid

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands. Ready to take your database management to the next level with ScaleGrid’s cutting-edge solutions?

Strategy 130
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Data Movement in Netflix Studio via Data Mesh

The Netflix TechBlog

The paradigm spans across methods, tools, and technologies and is usually defined in contrast to analytical reporting and predictive modeling which are more strategic (vs. In the initial stage, data consumers set up ETL pipelines directly pulling data from databases. tactical) in nature. Data Delivery via Data Mesh What is Data Mesh?

Big Data 253
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Open Observability – Part 1: Distributed tracing and observability

Dynatrace

My team holds a seat on the OpenTelemetry governance- and technical committee and maintains the project’s JavaScript agent. Distributed tracing describes the act of following a transaction through all participating applications (tiers) and sub-systems, such as databases. Dynatrace news.