The Netflix TechBlog

DECEMBER 21, 2020

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 212

Storage Latency Efficiency Data Engineering 212

Dynatrace

FEBRUARY 10, 2023

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. Further, automation has become a core strategy as organizations migrate to and operate in the cloud.

Efficiency 306

Efficiency Performance Analytics DevOps 306

Dynatrace

DECEMBER 12, 2024

In dynamic and distributed cloud environments, the process of identifying incidents and understanding the material impact is beyond human ability to manage efficiently. million to $5 million annually in increased developer efficiency with our vulnerability and exposure offering alone. Were challenging these preconceptions.

Analytics 289

Analytics Government Efficiency Innovation 289

Dynatrace

OCTOBER 23, 2023

This leads to a more efficient and streamlined experience for users. Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. Challenges with running Hyper-V Working with Hyper-V can come with several challenges.

Efficiency 264

Efficiency Virtualization Hardware Performance 264

Dynatrace

DECEMBER 18, 2024

Drive efficiency and get more value out your logs with this predictable pricing model while youre building your log analytics practices. This pricing flexibility allows customers to optimize their log analysis expenses by paying only for what they use.

Analytics 246

Analytics Best Practices Efficiency Storage 246

Dynatrace

DECEMBER 5, 2023

This growth was spurred by mobile ecosystems with Android and iOS operating systems, where ARM has a unique advantage in energy efficiency while offering high performance. Energy efficiency and carbon footprint outshine x86 architectures The first clear benefit of ARM in the enterprise IT landscape is energy efficiency.

Architecture 290

Architecture Efficiency Energy Monitoring 290

Dynatrace

MAY 8, 2023

This demand for rapid innovation is propelling organizations to adopt agile methodologies and DevOps principles to deliver software more efficiently and securely. And how do DevOps monitoring tools help teams achieve DevOps efficiency? Lost efficiency. 54% reported deploying updates every two hours or less.

DevOps 246

DevOps Efficiency Monitoring Infrastructure 246

Dynatrace

NOVEMBER 4, 2024

Monitor and optimize business processes with real-time visibility into process KPIs and detailed analytics for each step to improve customer satisfaction, increase operational efficiency, and reduce cost. Reduced storage and query overhead for business use cases. Simplified and enhanced analytics efficiency.

Analytics 241

Analytics Airlines Metrics Monitoring 241

DZone

JULY 13, 2023

In today's data-driven world, organizations need efficient and scalable data pipelines to process and analyze large volumes of data. Each zone has a specific purpose and plays a critical role in building efficient and scalable data pipelines.

Azure 246

Azure Architecture Efficiency Processing 246

The Netflix TechBlog

NOVEMBER 12, 2024

After selecting a mode, users can interact with APIs without needing to worry about the underlying storage mechanisms and counting methods. Let’s examine some of the drawbacks of this approach: Lack of Idempotency : There is no idempotency key baked into the storage data-model preventing users from safely retrying requests.

Latency 251

Latency Cache Infrastructure Strategy 251

Scalegrid

FEBRUARY 6, 2025

Kafka scales efficiently for large data workloads, while RabbitMQ provides strong message durability and precise control over message delivery. Message brokers handle validation, routing, storage, and delivery, ensuring efficient and reliable communication. What is RabbitMQ?

Latency 147

Latency Analytics Architecture Storage 147

Dynatrace

MARCH 5, 2025

Storage calculations assume that one terabyte consumes 1.2 Cloud storage is replicated twice, which doubles the energy consumption per terabyte. CPU calculations apply these assumptions: A virtual CPU (vCPU) on any cloud host equals one thread of a physical CPU core, with two threads per core.

Energy 223

Energy Analytics Traffic Cloud 223

The Netflix TechBlog

FEBRUARY 14, 2025

This dual-path approach leverages Kafkas capability for low-latency streaming and Icebergs efficient management of large-scale, immutable datasets, ensuring both real-time responsiveness and comprehensive historical data availability. This integration will not only optimize performance but also ensure more efficient resource utilization.

Tuning 166

Tuning Latency Efficiency Storage 166

DZone

JANUARY 29, 2020

To resolve the problem it was suggested to find more suitable data storage. There are several limitations to store and fetch such data (all restrictions could be found in official documentation ). For some internal reasons well known Amazon S3 bucket was chosen for this purpose. The choice affected the project's unit test base.

Storage 124

Storage Efficiency Testing Database 124

Scalegrid

FEBRUARY 27, 2025

Incremental Backups: Speeds up recovery and makes data management more efficient for active databases. Performance Optimizations PostgreSQL 17 significantly improves performance, query handling, and database management, making it more efficient for high-demand systems. Start your free trial today!

Speed 130

Speed Database Storage Efficiency 130

DZone

AUGUST 6, 2021

On a small scale, this isn’t problematic but when dealing with large-scale deployments, organizations end up using lots of computing, storage, and human resources just to manage their indexes. As the database grows in size, so does the index management cost.

Storage 189

Storage Database Systems Efficiency 189

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

JANUARY 5, 2024

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.

Efficiency 147

Efficiency Storage Database Scalability 147

Scalegrid

MAY 13, 2020

High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Greenplum’s high performance eliminates the challenge most RDBMS have scaling to petabtye levels of data, as they are able to scale linearly to efficiently process data. Polymorphic Data Storage. Major Use Cases.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

The Netflix TechBlog

SEPTEMBER 18, 2024

Our goal was to build a versatile and efficient data storage solution that could handle a wide variety of use cases, ranging from the simplest hashmaps to more complex data structures, all while ensuring high availability, tunable consistency, and low latency. Developers just provide their data problem rather than a database solution!

Latency 260

Latency Storage Cache Servers 260

The Netflix TechBlog

DECEMBER 17, 2024

This led to a suite of fragmented scripts, runbooks, and ad hoc solutions scattered across teamsan approach that was neither sustainable nor efficient. Additionally, the time-sensitive nature of these investigations precludes the use of cold storage, which cannot meet the stringent SLAs required.

Traffic 172

Traffic Scalability Strategy Monitoring 172

Dynatrace

FEBRUARY 4, 2025

The Dynatrace CSPM solution significantly enhances security, compliance, and resource efficiency through continuous monitoring, automated remediation, and centralized visibility for enterprises managing complex hybrid and multicloud environments. Grail allows for collaboration and remediation actions across multiple teams.

Cloud 130

Cloud Virtualization Efficiency Best Practices 130

Dynatrace

AUGUST 8, 2019

Smaller network and Dynatrace cluster storage footprint. The post Rebuilt OneAgent installer for Windows provides more efficient installation appeared first on Dynatrace blog. It now provides reliability and ease of deployment even in tricky situations like hardened Windows OS settings or in the presence of strict antivirus rules.

Efficiency 164

Efficiency Network Storage Architecture 164

The Netflix TechBlog

MARCH 4, 2025

The Insight TriadAPI To efficiently understand the health of a title and triage issues quickly, all implementations of the observability endpoint must answer: is the title eligible for this phase of promotion, if notwhy is it not eligible, and what can be done to fix any problems. The request schema for the observability endpoint.

Traffic 180

Traffic Strategy Entertainment Innovation 180

Scalegrid

MAY 11, 2024

MongoDB offers several storage engines that cater to various use cases. The default storage engine in earlier versions was MMAPv1, which utilized memory-mapped files and document-level locking. The newer, pluggable storage engine, WiredTiger, addresses this by using prefix compression, collection-level locking, and row-based storage.

Storage 130

Storage Engineering Cache Database 130

DZone

JUNE 28, 2024

At first, data tiering was a tactic used by storage systems to reduce data storage costs. This involved grouping data that was not accessed as often into more affordable, if less effective, storage array choices. Even though they are quite costly, SSDs and flash can be categorized as high-performance storage classes.

Azure 223

Azure Storage Performance Cloud 223

DZone

SEPTEMBER 14, 2023

In today's data-driven world, efficient data processing plays a pivotal role in the success of any project. In this article, we will delve into strategies to ensure that your data pipeline is resource-efficient, cost-effective, and time-efficient.

Big Data 279

Big Data Processing Open Source Games 279

Dynatrace

JANUARY 17, 2024

As organizations turn to artificial intelligence for operational efficiency and product innovation in multicloud environments, they have to balance the benefits with skyrocketing costs associated with AI. The good news is AI-augmented applications can make organizations massively more productive and efficient.

Strategy 288

Strategy Artificial Intelligence Storage Cloud 288

Dynatrace

MAY 7, 2024

which offers a range of updates: HTTP/2 support: Fluentbit now supports HTTP/2, enabling efficient data transmission with Gzip compression for OpenTelemetry data, enhancing pipeline performance. By default, you have a storage type memory, but you may exceed this buffer limit if you have a lot of data. What’s new in Fluent Bit 3.0

Best Practices 279

Best Practices IoT Metrics Storage 279

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. Unlike data warehouses, however, data is not transformed before landing in storage.

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

Dynatrace

SEPTEMBER 5, 2024

These developments open up new use cases, allowing Dynatrace customers to harness even more data for comprehensive AI-driven insights, faster troubleshooting, and improved operational efficiency. Customers have had a positive response to our native syslog implementation, noting its easy setup and efficiency.

Innovation 290

Innovation AWS Analytics Storage 290

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access. AWS offers four serverless offerings for storage.

Serverless 325

Serverless AWS Lambda Storage 325

Dynatrace

AUGUST 1, 2022

You quickly realize that it will take ages to fill up the overprovisioned database storage. Two days later, your database runs out of storage in the middle of the night. Therefore, you don’t know your current growth rate and can’t estimate the required storage for keeping the database up and running for the next month.

Storage 246

Storage Database Network Metrics 246

The Netflix TechBlog

OCTOBER 8, 2024

Building on these foundational abstractions, we developed the TimeSeries Abstraction  — a versatile and scalable solution designed to efficiently store and query large volumes of temporal event data with low millisecond latencies, all in a cost-effective manner across various use cases. Let’s dive into the various aspects of this abstraction.

Latency 239

Latency Storage Traffic Tuning 239

Scalegrid

JULY 17, 2020

JSONB supports indexing the JSON data, and is very efficient at parsing and querying the JSON data. JSONB storage has some drawbacks vs. traditional columns: PostreSQL does not store column statistics for JSONB columns. JSONB storage results in a larger storage footprint. It is a decomposed binary format to store JSON.

Storage 321

Storage Database Efficiency Availability 321

Dynatrace

OCTOBER 4, 2022

In most data storage models, indexing engines enable faster access to query logs. But indexing requires schema management and additional storage to be effective, which adds cost and overhead. This can vastly reduce an organization’s storage costs and improve data efficiency. Eliminates team silos.

Analytics 264

Analytics Storage Infrastructure Metrics 264

Dynatrace

OCTOBER 4, 2022

This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes). This decoupling ensures the openness of data and storage formats, while also preserving data in context. Grail is built for such analytics, not storage.

Artificial Intelligence 290

Artificial Intelligence Analytics Storage Architecture 290