Remove Blog Remove Design Remove Scalability Remove Storage
article thumbnail

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 203
article thumbnail

Best practices for Fluent Bit 3.0

Dynatrace

Fluent Bit is a telemetry agent designed to receive data (logs, traces, and metrics), process or modify it, and export it to a destination. Fluent Bit was designed to help you adjust your data and add the proper context, which can be helpful in the observability backend. What’s the difference between Fluent Bit and Fluentd?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

AWS serverless services: Exploring your options

Dynatrace

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Scalability.

article thumbnail

What is function as a service? App development gets FaaS and furious

Dynatrace

Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. Infrastructure as a service (IaaS) handles compute, storage, and network resources. What is FaaS?

article thumbnail

Enhance data management with Grail: Ultimate guide to custom buckets and security policies

Dynatrace

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. Buckets are similar to folders, a physical storage location. There is a default bucket for each table.

article thumbnail

What is Greenplum Database? Intro to the Big Data Database

Scalegrid

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321
article thumbnail

DBaaS Pros & Cons

Scalegrid

As CTOs, database developers & experts, and DBAs seek more efficient, secure, and scalable cloud services solutions, DBaaS emerges as a compelling choice. This surge aligns with the 62% of companies reporting substantial data growth, underscoring the escalating need for scalable and agile database solutions.