Dynatrace

DECEMBER 5, 2023

Without observability, the benefits of ARM are lost Over the last decade and a half, a new wave of computer architecture has overtaken the world. ARM architecture, based on a processor type optimized for cloud and hyperscale computing, has become the most prevalent on the planet, with billions of ARM devices currently in use.

Efficiency 290

Efficiency Architecture Energy Monitoring 290

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 247

Latency Cache Infrastructure Strategy 247

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 208

Storage Latency Efficiency Data Engineering 208

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

Scalegrid

MAY 13, 2020

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

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

JANUARY 12, 2022

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. Dynatrace news. This is great!

Analytics 246

Analytics Systems DevOps Healthcare 246

Dynatrace

OCTOBER 7, 2021

To get a better understanding of AWS serverless, we’ll first explore the basics of serverless architectures, review AWS serverless offerings, and explore common use cases. Serverless architecture: A primer. Serverless architecture shifts application hosting functions away from local servers onto those managed by providers.

Serverless 325

Serverless AWS Lambda Storage 325

Uber Engineering

SEPTEMBER 9, 2021

Uber deploys a few storage technologies to store business data based on their application model.

Storage 135

Storage Systems Engineering Technology 135

Scalegrid

FEBRUARY 24, 2025

Scaling RabbitMQ ensures your system can handle growing traffic and maintain high performance. 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 4, 2022

Grail architectural basics. The aforementioned principles have, of course, a major impact on the overall architecture. A data lakehouse addresses these limitations and introduces an entirely new architectural design. This decoupling ensures the openness of data and storage formats, while also preserving data in context.

Artificial Intelligence 290

Artificial Intelligence Analytics Storage Architecture 290

The Netflix TechBlog

APRIL 27, 2023

Engineers want their alerting system to be realtime, reliable, and actionable. A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! In other words, false positives are bad but false negatives are the absolute worst!

Storage 293

Storage Cache Metrics Database 293

InfoQ

MAY 15, 2023

A horizontally scalable exabyte-scale blob storage system which operates out of multiple regions, Magic Pocket is used to store all of Dropbox’s data. Adopting SMR technology and erasure codes, the system has extremely high durability guarantees but is cheaper than operating in the cloud. By Facundo Agriel

Storage 114

Storage Systems Scalability Cloud 114

The Netflix TechBlog

SEPTEMBER 24, 2021

Table 1: Movie and File Size Examples Initial Architecture A simplified view of our initial cloud video processing pipeline is illustrated in the following diagram. Lastly, the packager kicks in, adding a system layer to the asset, making it ready to be consumed by the clients.

Cloud 240

Cloud Media Storage Cache 240

High Scalability

JANUARY 11, 2022

Architecture. The streaming data store makes the system extensible to support other use-cases (e.g. System Components. The system will comprise of several micro-services each performing a separate task. After that, the post gets added to the feed of all the followers in the columnar data storage. High Level Design.

Design 334

Design Media Storage Logistics 334

The Netflix TechBlog

SEPTEMBER 18, 2024

In this post, we dive deep into how Netflix’s KV abstraction works, the architectural principles guiding its design, the challenges we faced in scaling diverse use cases, and the technical innovations that have allowed us to achieve the performance and reliability required by Netflix’s global operations.

Latency 256

Latency Storage Cache Servers 256

The Netflix TechBlog

MAY 4, 2023

Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience. These backend systems are consistently being evolved and optimized to meet and exceed customer and product expectations. This blog series will examine the tools, techniques, and strategies we have utilized to achieve this goal.

Traffic 343

Traffic Latency Tuning Systems 343

Dynatrace

OCTOBER 4, 2022

Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. Teams have introduced workarounds to reduce storage costs. Stop worrying about log data ingest and storage — start creating value instead. Limited data availability constrains value creation.

Analytics 264

Analytics Artificial Intelligence Storage Serverless 264

Dynatrace

AUGUST 11, 2022

FaaS vs. monolithic architectures. Monolithic architectures were commonplace with legacy, on-premises software solutions. Infrastructure as a service (IaaS) handles compute, storage, and network resources. Because a third party manages part of the infrastructure, IT teams give up a measure of control over system architecture.

Development 279

Development Serverless Best Practices Lambda 279

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. Further, these resources support countless Kubernetes clusters and Java-based architectures. Clearly, this works against the goal of digital transformation.

Analytics 264

Analytics Storage Infrastructure Metrics 264

The Netflix TechBlog

MARCH 14, 2023

Specifically, we will dive into the architecture that powers search capabilities for studio applications at Netflix. We implemented a batch processing system for users to submit their requests and wait for the system to generate the output. Maintaining disparate systems posed a challenge.

Media 295

Media Innovation Energy Architecture 295

Dynatrace

NOVEMBER 11, 2022

Therefore, they need an environment that offers scalable computing, storage, and networking. Hyperconverged infrastructure (HCI) is an IT architecture that combines servers, storage, and networking functions into a unified, software-centric platform to streamline resource management. What is hyperconverged infrastructure?

Infrastructure 264

Infrastructure Storage Virtualization Network 264

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. It removes much of the guesswork of untangling complex system issues and establishes with certainty why a problem occurred. Fragmented and siloed data storage can create inconsistencies and redundancies. Timeliness.

Government 263

Government Analytics Benchmarking Storage 263

Dynatrace

DECEMBER 22, 2021

Complex information systems fail in unexpected ways. Observability gives developers and system operators real-time awareness of a highly distributed system’s current state based on the data it generates. With observability, teams can understand what part of a system is performing poorly and how to correct the problem.

Artificial Intelligence 245

Artificial Intelligence Metrics Architecture DevOps 245

Dynatrace

APRIL 19, 2023

The new architecture enables more granularity in permission management and provides the dynamics necessary to serve modern access management use cases. We’ve replaced the role-based permission system with security policies that provide fine-grained control over service access and introduce new dynamic controls for user authorization.

Storage 246

Storage Analytics Systems Architecture 246

DZone

OCTOBER 11, 2022

Simpler UI Testing with CasperJS ( Architects Zone – Architectural Design Patterns & Best Practices). Using MongoDB as a cache store ( Architects Zone – Architectural Design Patterns & Best Practices). Linux System Mining with Python ( Javalobby – The heart of the Java developer community). Hacker News).

Java 244

Java Best Practices Google Analytics 244

Dynatrace

JUNE 9, 2023

That’s because of the heterogeneity of the data their environments generate and the limitations of the systems they rely on to analyze this information. Research has found that 99% of organizations have embraced a multicloud architecture. What is DevOps maturity?

DevOps 246

DevOps Analytics Storage Metrics 246

Dynatrace

OCTOBER 3, 2024

Trace your application Imagine a microservices architecture with hundreds of dependencies. There is no need to think about schema and indexes, re-hydration, or hot/cold storage. This architecture also means you’re not required to determine your log data use cases beforehand or while analyzing logs within the new logs app.

Performance 290

Performance Architecture Innovation Latency 290

DZone

JANUARY 20, 2023

Having a distributed and scalable graph database system is highly sought after in many enterprise scenarios. Do Not Be Misled Designing and implementing a scalable graph database system has never been a trivial task.

Scalability 210

Scalability Big Data Hardware Internet 210

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. Moreover, the system lacks flexibility, imposing strict schemas that administrators and developers must adhere to avoid additional costs. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs).

Retail 264

Retail Storage Best Practices Architecture 264

Dynatrace

SEPTEMBER 28, 2020

Before we dive into the technical implementation, let me explain the visual concept of this “Global Status Page”: Another requirement for this status page was that it has to be lightweight, with no data storage at all. Lightweight architecture. This is where the consolidated API, which I presented in my last post , comes into play.

Storage 276

Storage Architecture Tuning Efficiency 276

The Morning Paper

MARCH 8, 2020

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. have altered the many assumptions that guided the design and optimization of the Snowflake system. The caching use case may be the most familiar, but in fact it’s not the primary purpose of the ephemeral storage service.

Storage 112

Storage Engineering Cache Serverless 112

Dynatrace

JUNE 10, 2024

Teams can then act before attackers have the chance to compromise key data or bring down critical systems. This data helps teams see where attacks began, which systems were targeted, and what techniques attackers used. Proactive protection, however, focuses on finding evidence of attacks before they compromise key systems.

Analytics 264

Analytics Network Open Source Hardware 264

The Netflix TechBlog

OCTOBER 8, 2024

In previous blog posts, we introduced the Key-Value Data Abstraction Layer and the Data Gateway Platform , both of which are integral to Netflix’s data architecture. Note: Contrary to what the name may suggest, this system is not built as a general-purpose time series database.

Latency 235

Latency Storage Traffic Infrastructure 235

Dynatrace

JANUARY 16, 2023

As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes is emerging as the “operating system” of the cloud. Kubernetes is emerging as the “operating system” of the cloud. Kubernetes moved to the cloud in 2022.

Open Source 358

Open Source Java Operating System Programming 358

Dynatrace

OCTOBER 4, 2022

Organizations need to unify all this observability, business, and security data based on context and generate real-time insights to inform actions taken by automation systems, as well as business, development, operations, and security teams. Systems automatically generate logs, which record events that took place. Event severity.

Analytics 246

Analytics Software Software Storage 246

High Scalability

SEPTEMBER 8, 2018

RISELabs , those wonderfully innovative folks over at Berkeley, have uplifted their Anna datatabase —a shared-nothing, thread-per-core architecture to achieve lightning-fast speeds by avoiding all coordination mechanisms—to become cloud-aware. While database neogenesis has slowed down considerably, it has not gone necrotic.

Storage 199

Storage Performance AWS Cloud 199

Dynatrace

DECEMBER 8, 2021

In contrast to modern software architecture, which uses distributed microservices, organizations historically structured their applications in a pattern known as “monolithic.” When an application runs on a single large computing element, a single operating system can monitor every aspect of the system.

Cloud 246

Cloud Serverless Hardware Operating System 246