Dynatrace

DECEMBER 12, 2024

The Federal Reserve Regulation HH in the United States focuses on operational resilience requirements for systemically important financial market utilities. Proactive systems like Dynatrace’s Davis AI can automate responses to threats, swiftly implementing remediation while keeping executives informed of actions taken and their impact.

Analytics 289

Analytics Government Efficiency Innovation 289

Dynatrace

NOVEMBER 4, 2024

There’s a goldmine of business data traversing your IT systems, yet most of it remains untapped. Other data sources, including APIs and log files — are used to expand access, often to external or proprietary systems. In fact, it’s likely that some of your critical business systems already write business data to log files.

Analytics 241

Analytics Airlines Metrics Monitoring 241

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. Failures in a distributed system are a given, and having the ability to safely retry requests enhances the reliability of the service.

Latency 251

Latency Cache Infrastructure Strategy 251

Dynatrace

APRIL 16, 2025

Organizations are now looking into solutions that unify security capabilities to protect their environments efficiently. Incident response: Providing capabilities for incident response, including remediation suggestions and integration with DevOps workflows, to help resolve security incidents quickly and efficiently.

Serverless 219

Serverless Azure Cloud Infrastructure 219

Scalegrid

FEBRUARY 6, 2025

Kafka scales efficiently for large data workloads, while RabbitMQ provides strong message durability and precise control over message delivery. Introduction to Message Brokers Message brokers enable applications, services, and systems to communicate by acting as intermediaries between senders and receivers. What is RabbitMQ?

Latency 147

Latency Analytics Architecture Storage 147

Dynatrace

OCTOBER 23, 2023

Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems. It enables multiple operating systems to run simultaneously on the same physical hardware and integrates closely with Windows-hosted services. This leads to a more efficient and streamlined experience for users.

Efficiency 264

Efficiency Virtualization Hardware Performance 264

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

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

The Netflix TechBlog

FEBRUARY 14, 2025

It requires a state-of-the-art system that can track and process these impressions while maintaining a detailed history of each profiles exposure. In this multi-part blog series, we take you behind the scenes of our system that processes billions of impressions daily.

Tuning 166

Tuning Latency Efficiency Storage 166

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Distributed cloud systems are complex, dynamic, and difficult to manage without the proper tools. Dynatrace news.

Cloud 260

Cloud Systems Analytics DevOps 260

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? In addition, monitoring DevOps processes provide the following benefits: Improve system performance.

DevOps 246

DevOps Efficiency Monitoring Infrastructure 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

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. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

The Netflix TechBlog

DECEMBER 17, 2024

We kick off with a few topics focused on how were empowering Netflix to efficiently produce and effectively deliver high quality, actionable analytic insights across the company. Subsequent posts will detail examples of exciting analytic engineering domain applications and aspects of the technical craft.

Analytics 212

Analytics Engineering Entertainment Metrics 212

The Netflix TechBlog

MARCH 4, 2025

Part 3: System Strategies and Architecture By: VarunKhaitan With special thanks to my stunning colleagues: Mallika Rao , Esmir Mesic , HugoMarques This blog post is a continuation of Part 2 , where we cleared the ambiguity around title launch observability at Netflix. The request schema for the observability endpoint.

Traffic 180

Traffic Strategy Entertainment Innovation 180

The Netflix TechBlog

MARCH 6, 2019

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. MezzFS has a number of features, including: Stream objects ?— ?

Media 218

Media Storage Processing Cache 218

Dynatrace

MARCH 5, 2025

Integration with existing systems and processes : Integration with existing IT infrastructure, observability solutions, and workflows often requires significant investment and customization. Storage calculations assume that one terabyte consumes 1.2 Cloud storage is replicated twice, which doubles the energy consumption per terabyte.

Energy 223

Energy Analytics Traffic Cloud 223

The Netflix TechBlog

DECEMBER 17, 2024

To achieve this, we are committed to building robust systems that deliver comprehensive observability, enabling us to take full accountability for every title on ourservice. Each title represents countless hours of effort and creativity, and our systems need to honor that uniqueness. Yet, these pages couldnt be more different.

Traffic 172

Traffic Scalability Strategy Monitoring 172

The Netflix TechBlog

MARCH 31, 2025

Besides the need for robust cloud storage for their media, artists need access to powerful workstations and real-time playback. Local storage and compute services are connected through the Netflix Open Connect network (Netflix Content Delivery Network) to the infrastructure of Amazon Web Services (AWS).

Media 203

Media Logistics Innovation Cloud 203

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.

Speed 130

Speed Database Storage Efficiency 130

Dynatrace

MARCH 11, 2025

The Dynatrace platform now enables comprehensive data exploration and interactive analytics across data sets (trace, logs, events, and metrics)empowering you to solve complex use cases, handle any observability scenario, and gain unprecedented visibility into your systems.

Games 165

Games Analytics Innovation Metrics 165

Dynatrace

APRIL 4, 2025

Thanks to its structured and binary format, Journald is quick and efficient. Journald provides unified structured logging for systems, services, and applications, eliminating the need for custom parsing for severity or details. It offers structured logging, fast indexing for search, access controls, and signed messages.

Analytics 147

Analytics Operating System Scalability Infrastructure 147

Scalegrid

MAY 13, 2020

High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. The MPP system leverages a shared-nothing architecture to handle multiple operations in parallel. Typically an MPP system has one leader node and one or many compute nodes. Greenplum Advantages. Major Use Cases.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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. When companies are handling terabytes of data every day, the database-backed log management system becomes untenable.

Storage 189

Storage Database Systems Efficiency 189

Scalegrid

FEBRUARY 24, 2025

Scaling RabbitMQ ensures your system can handle growing traffic and maintain high performance. This guide will cover how to distribute workloads across multiple nodes, set up efficient clustering, and implement robust load-balancing techniques.

Best Practices 147

Best Practices Traffic Strategy Scalability 147

The Netflix TechBlog

APRIL 8, 2025

Delays and failures are inevitable in distributed systems, which may delay IP address change events from reaching FlowCollector. Although more efficient broadcasting implementations exist, the Kafka-based approach is simple and has worked well forus. The fundamental drawback of this method is that it can lead to misattribution.

AWS 188

AWS Traffic Network Programming 188

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

Scalegrid

JANUARY 5, 2024

Enhanced data security, better data integrity, and efficient access to information. If you’re considering a database management system, understanding these benefits is crucial. Understanding Database Management Systems (DBMS) A Database Management System (DBMS) assists users in creating and managing databases.

Efficiency 147

Efficiency Storage Database Scalability 147

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

Dynatrace

OCTOBER 4, 2022

Application and system logs are often collected in data silos using different tools, with no relationships between them, and then correlated in manual and often meaningless ways. The advantage of an index-free system in log analytics and log management. In most data storage models, indexing engines enable faster access to query logs.

Analytics 264

Analytics Storage Infrastructure Metrics 264

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. Native support for syslog messages extends our infrastructure log support to all Linux/Unix systems and network devices.

Innovation 290

Innovation AWS Analytics Storage 290

The Netflix TechBlog

FEBRUARY 13, 2023

We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. Media Feature Storage: Amber Storage Media feature computation tends to be expensive and time-consuming. We accomplish this by paving the path to: Accessing and processing media data (e.g.

Media 297

Media Storage Infrastructure Systems 297

Dynatrace

FEBRUARY 24, 2025

Theyre often categorized by their function; core processes directly create customer value, support processes increase departmental efficiency, and management processes drive strategic goals and compliance. Regardless of their role, every business process is designed to improve business outcomes.

Processing 147

Processing Analytics Infrastructure Monitoring 147

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. An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance.

Strategy 288

Strategy Artificial Intelligence Storage Cloud 288

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

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

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.

Latency 239

Latency Storage Traffic Tuning 239