Dynatrace

SEPTEMBER 18, 2020

Cloud-based application architectures commonly leverage microservices. High latency or lack of responses. You receive an alert message from Dynatrace (your infrastructure observability hub) letting you know that the average response latency of all deployed APIs has tripled. Dynatrace monitors 29 WSO2 API Manager–related metrics.

Infrastructure 263

Infrastructure Latency Metrics Cloud 263

Dynatrace

NOVEMBER 10, 2022

As companies accelerate digital transformation, cloud services such as AWS Lambda help companies to modernize their application architectures to quickly adapt to the needs of their customers while offloading the operational complexity to their cloud vendor. The need for a simplified approach to capture telemetry. How to get started.

Lambda 246

Lambda Serverless AWS Latency 246

Dynatrace

NOVEMBER 28, 2022

The new Amazon capability enables customers to improve the startup latency of their functions from several seconds to as low as sub-second (up to 10 times faster) at P99 (the 99th latency percentile). This can cause latency outliers and may lead to a poor end-user experience for latency-sensitive applications.

Lambda 246

Lambda AWS Serverless Latency 246

Dynatrace

MAY 19, 2022

Example 1: Architecture boundaries. First, they took a big step back and looked at their end-to-end architecture (Figure 2). SLO dashboard defined by architectural boundary. In their new dashboard, they added dimensions for load, latency, and open problems for each component. Not all attempts succeed on the first try.

Automotive 290

Automotive Latency Architecture Azure 290

Dynatrace

MAY 13, 2022

Because of its scalability and distributed architecture, thousands of companies trust it to run their cloud and hybrid-based workloads at high availability without compromising performance. Once you deploy the Dynatrace extension, Dynatrace ingests your Cassandra metrics and analyzes them in context with the entire stack.

Azure 246

Azure Latency Metrics Infrastructure 246

The Netflix TechBlog

FEBRUARY 18, 2022

Motivation With the rapid growth in Netflix member base and the increasing complexity of our systems, our architecture has evolved into an asynchronous one that enables both online and offline computation. Architecture As shown in the diagram above, the RENO service can be broken down into the following components.

Systems 334

Systems Traffic Architecture Mobile 334

Dynatrace

NOVEMBER 3, 2021

Organizations are depending more and more on distributed architectures to provide application services. Monitoring focuses on watching specific metrics. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. Dynatrace news.

Monitoring 264

Monitoring Metrics DevOps Scalability 264

The Netflix TechBlog

APRIL 27, 2023

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! Hence, we started down the path of alert evaluation via real-time streaming metrics. OK, Results?

Storage 297

Storage Cache Metrics Database 297

Dynatrace

MAY 23, 2024

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. This significantly increases event latency.

Engineering 245

Engineering Tuning Latency Open Source 245

Dynatrace

APRIL 7, 2023

Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes. Customers can use response streaming to achieve the following: Improve Time to First Byte (TTFB) performance for latency-sensitive applications. Return larger payload sizes. How does Dynatrace help?

Lambda 246

Lambda AWS Serverless Latency 246

Dynatrace

MAY 31, 2023

As a result, site reliability has emerged as a critical success metric for many organizations. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed. The following three metrics are commonly used to measure success: Service-level agreements (SLAs).

Best Practices 246

Best Practices DevOps Latency Metrics 246

Dynatrace

DECEMBER 22, 2021

Observability is made up of three key pillars: metrics, logs, and traces. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. They are particularly important in distributed systems, such as microservices architectures.

Artificial Intelligence 245

Artificial Intelligence Metrics Architecture DevOps 245

Dynatrace

JANUARY 31, 2024

Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications.

Cache 276

Cache Azure Infrastructure Monitoring 276

Dynatrace

JANUARY 26, 2021

Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently. When an application is triggered, it can cause latency as the application starts.

Serverless 246

Serverless Efficiency Lambda Azure 246

The Netflix TechBlog

SEPTEMBER 8, 2020

We tried a few iterations of what this new service should look like, and eventually settled on a modern architecture that aimed to give more control of the API experience to the client teams. For us, it means that we now need to have ~15 MDN tabs open when writing routes :) Let’s briefly discuss the architecture of this microservice.

Latency 241

Latency Cache Java Traffic 241

The Netflix TechBlog

FEBRUARY 20, 2019

Today we are excited to announce latency heatmaps and improved container support for our on-host monitoring solution?—?Vector?—?to Remotely view real-time process scheduler latency and tcp throughput with Vector and eBPF What is Vector? to the broader community. Vector is open source and in use by multiple companies.

Performance 216

Performance Latency Open Source Metrics 216

Dynatrace

OCTOBER 2, 2024

Davis AI contextually aligns all relevant data points—such as logs, traces, and metrics—enabling teams to act quickly and accurately while still providing power users with the flexibility and depth they desire and need. The Clouds app provides a view of all available cloud-native services.

Analytics 304

Analytics AWS DevOps Cloud 304

Dynatrace

APRIL 5, 2021

Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. Lambda’s highly efficient, on-demand computing environment aligns with today’s microservices-centric architectures, and readily integrates with other popular AWS offerings that an organization may already be using.

Lambda 258

Lambda AWS Serverless Hardware 258

The Netflix TechBlog

JUNE 13, 2023

By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. The results are then evaluated using specific metrics to determine whether the hypothesis is valid.

Traffic 285

Traffic Metrics Systems Strategy 285

Dynatrace

SEPTEMBER 13, 2023

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy. SRG validates the status of the resiliency SLOs for the experiment period.

AWS 305

AWS Efficiency Azure Cloud 305

The Netflix TechBlog

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 239

Latency Storage Traffic Tuning 239

Dynatrace

DECEMBER 2, 2021

As organizations adopt microservices-based architecture , service-level objectives (SLOs) have become a vital way for teams to set specific, measurable targets that ensure users are receiving agreed-upon service levels. SLIs provide the actual metrics and measurements that indicate whether you are meeting your SLO. Dynatrace news.

Metrics 246

Metrics Best Practices DevOps Infrastructure 246

Dynatrace

MARCH 29, 2024

. “We use AI to optimize the configuration of the software stack,” Doni said, highlighting how Akamas works by taking into account infrastructure and application metrics at the same time to achieve its optimization goals. You can ask for the best configuration to reduce latency or improve the user experience.”

Engineering 264

Engineering DevOps Operating System Open Source 264

The Netflix TechBlog

NOVEMBER 2, 2020

High level playback architecture with priority throttling and chaos testing Building a request taxonomy We decided to focus on three dimensions in order to categorize request traffic: throughput, functionality, and criticality. Those two metrics are approximate indicators of failures and latency.

Traffic 261

Traffic Metrics Infrastructure Architecture 261

The Netflix TechBlog

FEBRUARY 9, 2021

Plus, the architecture of the Edge tier was evolving to a PaaS (platform as a service) model, and we had some tough decisions to make about how, and where, to handle identity token handling. The system architecture now takes the form of: Notice that tokens never traverse past the Edge gateway / EAS boundary. We are serving over 2.5

Architecture 228

Architecture Latency Servers Website 228

The Netflix TechBlog

AUGUST 30, 2021

System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform. Thus, the implemented solution must integrate with Netflix Spring facilities for authentication and metrics support at the very minimum?—?the million elements.

Latency 222

Latency Traffic Transportation Cloud 222

Dynatrace

JULY 6, 2020

While the Azure overview page in Dynatrace has long featured monitoring data detected by OneAgent, with additional metrics pulled from Azure Monitor and topology information from Azure Resource Graph, the overview page now gives you quick access to the newly added services, which are listed under Supporting services.

Azure 227

Azure Cloud Big Data Virtualization 227

The Netflix TechBlog

NOVEMBER 2, 2021

In particular, the VMAF metric lies at the core of improving the Netflix member’s streaming video quality. The Reloaded system is a well-matured and scalable system, but its monolithic architecture can slow down rapid innovation. This enables us to use our scale to increase throughput and reduce latencies. via bug fixes).

Media 178

Media Innovation Metrics Latency 178

The Netflix TechBlog

AUGUST 13, 2020

A metric crossed a threshold. Metrics are a key part of understanding application health. But sometimes you can have too many metrics, too many graphs, and too many dashboards. Telltale uses a variety of signals from multiple sources to assemble a constantly evolving model of the application’s health: Atlas time series metrics.

Monitoring 219

Monitoring Tuning Traffic Metrics 219

All Things Distributed

JULY 20, 2015

Today, I want to explore the Amazon ECS architecture and what this architecture enables. This architecture affords Amazon ECS high availability, low latency, and high throughput because the data store is never pessimistically locked. Below is a diagram of the basic components of Amazon ECS: How we coordinate the cluster.

Latency 156

Latency Architecture AWS Open Source 156

Dynatrace

DECEMBER 15, 2022

ITOps teams use more technical IT incident metrics, such as mean time to repair, mean time to acknowledge, mean time between failures, mean time to detect, and mean time to failure, to ensure long-term network stability. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. Performance.

Artificial Intelligence 246

Artificial Intelligence DevOps Hardware Virtualization 246

Dynatrace

JUNE 25, 2021

Already in the 2000s, service-oriented architectures (SOA) became popular, and operations teams discovered the need to understand how transactions traverse through all tiers and how these tiers contributed to the execution time and latency. OpenTelemetry aims to support three so-called observability signals, namely: metrics.

Open Source 279

Open Source Monitoring Google Systems 279

Scalegrid

JANUARY 21, 2025

With its widespread use in modern application architectures, understanding the ins and outs of Redis monitoring is essential for any tech professional. Identifying key Redis metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

APRIL 8, 2024

In summary, the Dynatrace platform enables banks to do the following: Capture any data type: logs, metrics, traces, topology, behavior, code, metadata, network, security, web, and real-user monitoring data, and business events. Maximize performance for high-frequency and low-latency trading strategies. Break down data silos.

Analytics 246

Analytics Infrastructure Efficiency Technology 246

All Things Distributed

JANUARY 18, 2012

Amazon DynamoDB offers low, predictable latencies at any scale. This architectural pattern was a response to the scaling challenges that had challenged Amazon.com through its first 5 years, when direct database access was one of the major bottlenecks in scaling and operating the business. This impacts the predictability of a Domainâ??s

Scalability 162

Scalability Database Ecommerce Latency 162

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

The Netflix TechBlog

JULY 26, 2021

Netflix is known for its loosely coupled microservice architecture and with a global studio footprint, surfacing and connecting the data from microservices into a studio data catalog in real time has become more important than ever. Most of the business views created on top of the Iceberg tables can tolerate a few minutes of latency.

Big Data 257

Big Data Government Processing Analytics 257