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Dynatrace + Metis: Helping developers & SREs solve Database issues with AI

Dynatrace

If you’re a developer who has ever had to troubleshoot a database issue, you know how frustrating it can be. And with cloud-native databases like PostgreSQL and MySQL, the complexity only grows. Metis has built an AI-driven database observability platform designed for developers and SREs.

Database 306
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Designing Instagram

High Scalability

Design a photo-sharing platform similar to Instagram where users can upload their photos and share it with their followers. High Level Design. We will use a graph database such as Neo4j to store the information. Component Design. API Design. We have provided the API design of posting an image on Instagram below.

Design 334
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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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Catching up with OpenTelemetry in 2025

Dynatrace

In fact, observability is essential for shaping how we design smarter, more resilient systems for the future. Other key domains, such as Databases and Messaging, are in very advanced stages and are expected to stabilize soon. OpenTelemetry Collector simplifies complex deployments : Set to reach v1.0 OpenTelemetry Collector 1.0

Tuning 304
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Optimizing data warehouse storage

The Netflix TechBlog

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 208
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Extend business observability: Extract business events from online databases (Part 2)

Dynatrace

In part 2, we’ll show you how to retrieve business data from a database, analyze that data using dashboards and ad hoc queries, and then use a Davis analyzer to predict metric behavior and detect behavioral anomalies. Similar to the tutorial extension, we created an extension that performs queries against databases.

Database 290
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Indexed View for Aggregating Metrics

DZone

Microsoft Azure SQL is a robust, fully managed database platform designed for high-performance querying, relational data storage, and analytics. For a typical web application with a backend, it is a good choice when we want to consider a managed database that can scale both vertically and horizontally.

Metrics 165