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

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

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

DZone

AUGUST 16, 2023

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing. Bandwidth optimization: Caching reduces the amount of data transferred over the network, minimizing bandwidth usage and improving efficiency.

Cache 246

Cache Scalability Performance Latency 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.

Efficiency 290

Efficiency Architecture Energy Monitoring 290

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. The complexity of these operational demands underscored the urgent need for a scalable solution. The stakes are even higher when ensuring every title launches flawlessly.

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. Our AnswerContent Hubs Media Production Suite(MPS) [link] Building a global scalable solution that could be utilized in a diversity of markets has been an exciting challenge.

Media 203

Media Logistics Innovation Cloud 203

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

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

Dynatrace

APRIL 4, 2025

Thanks to its structured and binary format, Journald is quick and efficient. For forensic log analytics use cases, the Security Investigator app benefits from the scalability and analytics power of Dynatrace Grail. The Grail architecture ensures scalability, making log data accessible for detailed analysis regardless of volume.

Analytics 147

Analytics Operating System Scalability Infrastructure 147

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

Dynatrace

MARCH 11, 2025

Say hello to advanced trace an alytics and new data storage and capture options. These game-changing features elevate your data interactions, opening up vast possibilities for advanced queries and efficient data management tailored to your needs. This precision reduces storage costs while ensuring you retain the data that matters most.

Analytics 165

Analytics Games Innovation Metrics 165

Scalegrid

FEBRUARY 24, 2025

This guide will cover how to distribute workloads across multiple nodes, set up efficient clustering, and implement robust load-balancing techniques. Key Takeaways RabbitMQ improves scalability and fault tolerance in distributed systems by decoupling applications, enabling reliable message exchanges.

Best Practices 147

Best Practices Traffic Strategy Efficiency 147

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. Scalability. Finally, there’s scalability.

Serverless 325

Serverless AWS Lambda Storage 325

Scalegrid

MAY 13, 2020

Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Polymorphic Data Storage. At a glance – TLDR. The Greenplum Architecture. Greenplum Advantages.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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

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

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

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

The Netflix TechBlog

SEPTEMBER 18, 2024

Central to this infrastructure is our use of multiple online distributed databases such as Apache Cassandra , a NoSQL database known for its high availability and scalability. This model supports both simple and complex data models, balancing flexibility and efficiency.

Latency 260

Latency Storage Cache Efficiency 260

DZone

APRIL 11, 2023

Data processing in the cloud has become increasingly popular due to its scalability, flexibility, and cost-effectiveness. It provides built-in connectors for various data sources such as databases, file systems, cloud storage, and more.

Azure 246

Azure Analytics Storage Cloud 246

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. Use containerization.

Strategy 288

Strategy Artificial Intelligence Storage Cloud 288

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. The original Dynamo design was based on a core set of strong distributed systems principles resulting in an ultra-scalable and highly reliable database system.

Scalability 162

Scalability Database Ecommerce Latency 162

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

The Key-Value Abstraction offers a flexible, scalable solution for storing and accessing structured key-value data, while the Data Gateway Platform provides essential infrastructure for protecting, configuring, and deploying the data tier. Those use cases are well served by the Netflix Atlas telemetry system.

Latency 239

Latency Storage Traffic Tuning 239

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 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

Dynatrace

OCTOBER 4, 2022

Several pain points have made it difficult for organizations to manage their data efficiently and create actual value. This approach is cumbersome and challenging to operate efficiently at scale. Teams have introduced workarounds to reduce storage costs. Limited data availability constrains value creation.

Analytics 264

Analytics Artificial Intelligence Storage Serverless 264

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. It involves both the collection and storage of logs, as well as aggregation, analysis, and even the long-term storage and destruction of log data.

Cloud 260

Cloud Systems Analytics DevOps 260

Dynatrace

APRIL 20, 2023

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. ” A data warehouse, on the other hand, is an efficient and fast option for querying data.

Analytics 246

Analytics Infrastructure Storage Architecture 246

Dynatrace

JULY 25, 2022

The DevOps playbook has proven its value for many organizations by improving software development agility, efficiency, and speed. This method known as GitOps would also boost the speed and efficiency of practicing DevOps organizations. GitOps improves speed and scalability. Dynatrace news. What is GitOps?

DevOps 278

DevOps Infrastructure Speed Cloud 278

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. If you don’t have insight into the software and services that operate your business, you can’t efficiently run your business. Minimizes downtime and increases efficiency.

Infrastructure 246

Infrastructure Monitoring Virtualization Serverless 246

The Netflix TechBlog

OCTOBER 19, 2020

Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. We earned the trust of our engineers by developing empathy for their operational burden and by focusing on providing efficient tracer library integrations in runtime environments.

Infrastructure 238

Infrastructure Transportation Storage Open Source 238

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. Easy scalability. IaaS provides direct access to compute resources such as servers, storage, and networks. million in 2020. Process portability. CaaS vs. IaaS. CaaS vs. FaaS.

Serverless 297

Serverless Azure Hardware Transportation 297

Dynatrace

JANUARY 11, 2023

Cloud storage monitoring. Teams can keep track of storage resources and processes that are provisioned to virtual machines, services, databases, and applications. Measure cloud resource consumption to ensure resources are scalable and keep up with business requirements. Virtual machine (VM) monitoring.

Cloud 295

Cloud Monitoring Best Practices Infrastructure 295

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

The Netflix TechBlog

OCTOBER 27, 2020

Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store. What is Bulldozer Bulldozer is a self-serve data platform that moves data efficiently from data warehouse tables to key-value stores in batches. Figure 1 shows how we use Bulldozer to move data at Netflix.

Latency 252

Latency Storage Big Data Tuning 252