Dynatrace

SEPTEMBER 18, 2020

Cloud-based application architectures commonly leverage microservices. In response to this trend, open source communities birthed new companies like WSO2 (of course, industry giants like Google, IBM, Software AG, and Tibco are also competing for a piece of the API management cake). High latency or lack of responses.

Infrastructure 263

Infrastructure Latency Metrics Cloud 263

The Netflix TechBlog

JANUARY 25, 2023

The service should be able to serve real-time, aka UI, applications so CRUD and search operations should be achieved with low latency. Our service will be used by a lot of internal UI applications hence the latency for CRUD and search operations must be low. Search latency for the generic text queries are in milliseconds.

Scalability 291

Scalability Latency Media Architecture 291

Dynatrace

OCTOBER 3, 2024

Trace your application Imagine a microservices architecture with hundreds of dependencies. Without distributed tracing, pinpointing the cause of increased latency could take hours or even days. Collaborating with your peers based on your software development lifecycle and all data in context has never been easier.

Performance 290

Performance Architecture Innovation Latency 290

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. ” According to Google, “SRE is what you get when you treat operations as a software problem.”

Engineering 264

Engineering DevOps Government Latency 264

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

OCTOBER 10, 2022

Reduced latency. Serverless architecture makes it possible to host code anywhere, rather than relying on an origin server. By using cloud providers with multiple server sites, organizations can reduce function latency for end users. Architectural complexity. Optimizes resources. No infrastructure to maintain.

Serverless 241

Serverless Infrastructure Lambda Latency 241

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. ” According to Google, “SRE is what you get when you treat operations as a software problem.”

Engineering 245

Engineering DevOps Government Latency 245

The Netflix TechBlog

MARCH 1, 2021

It supports both high throughput services that consume hundreds of thousands of CPUs at a time, and latency-sensitive workloads where humans are waiting for the results of a computation. The subsystems all communicate with each other asynchronously via Timestone, a high-scale, low-latency priority queuing system.

Serverless 235

Serverless Media Latency Social Media 235

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

Dynatrace

MAY 31, 2023

How site reliability engineering affects organizations’ bottom line SRE applies the disciplines of software engineering to infrastructure management, both on-premises and in the cloud. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed.

Best Practices 246

Best Practices DevOps Latency Metrics 246

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.

Lambda 246

Lambda AWS Serverless Latency 246

The Netflix TechBlog

NOVEMBER 3, 2022

The original assumptions and architectural choices were no longer viable. Overview The figure below depicts a simplified high-level architecture of a single Titus cluster (a.k.a We started seeing increased response latencies and leader servers running at dangerously high utilization.

Cache 233

Cache Latency Traffic Systems 233

High Scalability

JANUARY 11, 2022

Architecture. When a user requests for feed then there will be two parallel threads involved in fetching the user feeds to optimize for latency. This will not only reduce the overall latency in displaying the user-feeds to users but will also prevent re-computation of user-feeds. Sending and receiving messages from other users.

Design 334

Design Media Storage Logistics 334

Dynatrace

DECEMBER 22, 2021

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. Observability platforms are becoming essential as the complexity of cloud-native architectures increases.

Artificial Intelligence 245

Artificial Intelligence Metrics Architecture DevOps 245

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. which shows your operational efficiency in your software delivery pipeline.

AWS 305

AWS Efficiency Azure Cloud 305

The Netflix TechBlog

FEBRUARY 20, 2019

by Jason Koch , with Martin Spier , Brendan Gregg , Ed Hunter Improving the tools available to our engineers to help them diagnose, triage, and work through software performance challenges in the cloud is a key goal for the cloud performance engineering team at Netflix. to the broader community.

Performance 216

Performance Latency Open Source Metrics 216

Dynatrace

JULY 18, 2023

Dynatrace Configuration as Code enables complete automation of the Dynatrace platform’s configuration, ensuring that software is secure and reliable. As software development grows more complex, managing components using an automated onboarding process becomes increasingly important.

Best Practices 246

Best Practices Code Infrastructure Latency 246

Dynatrace

APRIL 5, 2021

But with the benefits also come concerns about observability, and how to monitor and manage ever-expanding cloud software stacks. AWS continues to improve how it handles latency issues. Organizations are realizing the cost savings and management benefits of serverless automation. The Amazon Web Services ecosystem.

Lambda 258

Lambda AWS Serverless Hardware 258

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. Data lakehouses deliver the query response with minimal latency.

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

Dynatrace

MARCH 29, 2024

As organizations continue to modernize their technology stacks, many turn to Kubernetes , an open source container orchestration system for automating software deployment, scaling, and management. You can ask for the best configuration to reduce latency or improve the user experience.” It’s not just a cost-reduction tool.

Engineering 264

Engineering DevOps Operating System Open Source 264

Dynatrace

NOVEMBER 3, 2021

Organizations are depending more and more on distributed architectures to provide application services. For example, when monitoring a database, you’ll want to know about any latency when writing data to a disk or average query response time. Dynatrace news. This trend is prompting advances in both observability and monitoring.

Monitoring 264

Monitoring Metrics DevOps Scalability 264

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. Generally, SLOs are important because they: Improve software quality. It is inevitable that software can break.

Metrics 246

Metrics Best Practices DevOps Infrastructure 246

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

By Benson Ma , Alok Ahuja Introduction At Netflix, hundreds of different device types, from streaming sticks to smart TVs, are tested every day through automation to ensure that new software releases continue to deliver the quality of the Netflix experience that our customers enjoy. In this blog post, we will focus on the latter feature set.

Latency 222

Latency Traffic Transportation Cloud 222

DZone

MAY 1, 2023

Caches are very useful software components that all engineers must know. It is a transversal component that applies to all the tech areas and architecture layers such as operating systems, data platforms, backend, frontend, and other components.

Cache 147

Cache Strategy Latency Operating System 147

Dynatrace

APRIL 8, 2024

Managing these risks involves using a range of technology solutions, from in-house, do-it-yourself solutions to third-party, software-as-a-service (SaaS) solutions. The Dynatrace platform allows security teams to automate continuous discovery, proactively detect anomalies, and optimize across the software lifecycle.

Analytics 246

Analytics Infrastructure Efficiency Technology 246

VoltDB

DECEMBER 11, 2024

By bringing computation closer to the data source, edge-based deployments reduce latency, enhance real-time capabilities, and optimize network bandwidth. Increased latency during peak loads. Introduce scalable microservices architectures to distribute computational loads efficiently. Data format mismatches across systems.

IoT 52

IoT Energy Logistics Latency 52

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. Ultimately, developers wanted a service.

Scalability 162

Scalability Database Ecommerce Latency 162

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. The primary goal of ITOps is to provide a high-performing, consistent IT environment.

Artificial Intelligence 246

Artificial Intelligence DevOps Hardware Virtualization 246

The Netflix TechBlog

AUGUST 29, 2023

In this architecture, service to service communication no longer goes through the single point of failure of a load balancer. The above architecture has served us well over the last decade, though changing business needs and evolving industry standards have added more complexity to our IPC ecosystem in a number of ways.

Traffic 229

Traffic Latency Cloud C++ 229

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. A/B testing is also a key technique in migrations where the updates to the architecture involve changing device contracts as well.

Traffic 285

Traffic Metrics Systems Strategy 285

cdemi

FEBRUARY 20, 2017

Let's talk about the elephant in the room; Serverless doesn't really mean that there are no Software or Hardware servers. It just means that from Software Development perspective, servers are abstracted and outsourced to another entity, so you don't need to worry about it. Serverless systems are still in their infancy. Advantages.

Serverless 64

Serverless Architecture Lambda Azure 64

The Netflix TechBlog

JULY 12, 2019

Old Gatekeeper Architecture This model had several problems associated with it: This process was completely I/O bound and put a lot of load on upstream systems. New Gatekeeper Architecture With this model, liveness evaluation is conceptually separated from the data retrieval from upstream systems.

Cache 184

Cache Architecture Latency Engineering 184

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. Distributed computing didn’t start with the rise of microservices.

Open Source 279

Open Source Monitoring Google Systems 279

All Things Distributed

NOVEMBER 15, 2010

Building general purpose architectures has always been hard; there are often so many conflicting requirements that you cannot derive an architecture that will serve all, so we have often ended up focusing on one side of the requirements that allow you to serve that area really well.

AWS 125

AWS Programming Latency Architecture 125