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. No infrastructure to maintain. Architectural complexity. Optimizes resources.

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

Scalegrid

JUNE 4, 2020

As an open source database, it’s a highly popular choice for enterprise applications looking to modernize their infrastructure and reduce their total cost of ownership, along with startup and developer applications looking for a powerful, flexible and cost-effective database to work with. Compare Latency. At a glance – TLDR.

Database 230

Database Latency Benchmarking Performance 230

Dynatrace

DECEMBER 27, 2022

As more organizations embrace microservices-based architecture to deliver goods and services digitally, maintaining customer satisfaction has become exponentially more challenging. First, it helps to understand that applications and all the services and infrastructure that support them generate telemetry data based on traffic from real users.

Software 306

Software Software Benchmarking Latency 306

The Netflix TechBlog

SEPTEMBER 18, 2024

Vidhya Arvind , Rajasekhar Ummadisetty , Joey Lynch , Vinay Chella Introduction At Netflix our ability to deliver seamless, high-quality, streaming experiences to millions of users hinges on robust, global backend infrastructure. Data Model At its core, the KV abstraction is built around a two-level map architecture.

Latency 256

Latency Storage Cache Efficiency 256

Dynatrace

JANUARY 14, 2022

Its ability to densely schedule containers into the underlying machines translates to low infrastructure costs. The following figure shows the high-level architecture where any load testing solution (e.g. That is because Kubernetes provides several benefits from a performance perspective. below 500ms) and error rates (e.g.

Latency 246

Latency Tuning Efficiency AWS 246

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. It also removes the need for developers and database administrators to manage infrastructure or update database versions.

Azure 246

Azure Latency Metrics Infrastructure 246

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.” Solving for SR.

Engineering 264

Engineering DevOps Government Latency 264

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 235

Latency Storage Traffic Infrastructure 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 AWS 246

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. Interact with data intuitively and easily and benefit from immediate, AI-supported insights.

Performance 290

Performance Architecture Innovation Latency 290

Dynatrace

APRIL 7, 2021

But your infrastructure teams don’t see any issue on their AWS or Azure monitoring tools, your platform team doesn’t see anything too concerning in Kubernetes logging, and your apps team says there are green lights across the board. This scenario has become all too common as digital infrastructure has grown increasingly complex.

Cloud 229

Cloud Monitoring Latency Games 229

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. million AI server units annually by 2027, consuming 75.4+

Cache 276

Cache Azure Infrastructure Monitoring 276

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.” Solving for SR.

Engineering 245

Engineering DevOps Government Latency 245

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. Despite being serverless, the function still requires infrastructure on which to run. What is a Lambda serverless function? Return larger payload sizes.

Lambda 246

Lambda AWS Serverless Latency 246

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 232

Serverless Media Latency Social Media 232

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

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. The IT infrastructure, services, and applications that enable processes for risk management must perform optimally. Once teams solidify infrastructure and application performance, security is the subsequent priority.

Analytics 246

Analytics Infrastructure Efficiency Technology 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

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case.

Processing 233

Processing Media Latency Innovation 233

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 237

Latency Cache Java Traffic 237

High Scalability

JANUARY 11, 2022

Architecture. FUN FACT : In this talk , Rodrigo Schmidt, director of engineering at Instagram talks about the different challenges they have faced in scaling the data infrastructure at Instagram. When a user requests for feed then there will be two parallel threads involved in fetching the user feeds to optimize for latency.

Design 334

Design Media Storage Logistics 334

The Netflix TechBlog

NOVEMBER 17, 2022

Our approach to NN-based video downscaling The deep downscaler is a neural network architecture designed to improve the end-to-end video quality by learning a higher-quality video downscaler. Architecture of the deep downscaler model, consisting of a preprocessing block followed by a resizing block.

Network 296

Network Media Innovation Efficiency 296

Dynatrace

APRIL 5, 2021

Organizations can offload much of the burden of managing app infrastructure and transition many functions to the cloud by going serverless with the help of Lambda. AWS continues to improve how it handles latency issues. An application could rely on dozens or even hundreds of Lambdas and other infrastructure.

Lambda 258

Lambda AWS Serverless Hardware 258

Dynatrace

DECEMBER 15, 2022

ITOps is an IT discipline involving actions and decisions made by the operations team responsible for an organization’s IT infrastructure. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. What is ITOps?

Artificial Intelligence 246

Artificial Intelligence DevOps Hardware Virtualization 246

Dynatrace

JULY 18, 2023

This is especially crucial in microservice architectures, where the number of components can be overwhelming. Configuration as Code in Git repos, automatically applied by Dynatrace Analogous to infrastructure as code, Configuration as Code, or “everything as code” is now essential for tackling software development challenges.

Best Practices 246

Best Practices Code Infrastructure Latency 246

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 255

Cache Latency Airlines Logistics 255

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 Cloud 264

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 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

The Netflix TechBlog

NOVEMBER 2, 2020

How viewers are able to watch their favorite show on Netflix while the infrastructure self-recovers from a system failure By Manuel Correa , Arthur Gonigberg , and Daniel West Getting stuck in traffic is one of the most frustrating experiences for drivers around the world. Those two metrics are approximate indicators of failures and latency.

Traffic 257

Traffic Metrics Infrastructure Architecture 257

Dynatrace

OCTOBER 2, 2024

For instance, in a Kubernetes environment, if an application fails, logs in context not only highlight the error alongside corresponding log entries but also provide correlated logs from surrounding services and infrastructure components. Keep in mind that Dynatrace Grail is schema-on-read and indexless, built with scaling in mind.

Analytics 304

Analytics AWS DevOps Cloud 304

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. You can set SLOs based on individual indicators, such as batch throughput, request latency, and failures-per-second.

Metrics 246

Metrics Best Practices DevOps Infrastructure 246

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

Dynatrace

SEPTEMBER 30, 2021

Generally speaking, cloud migration involves moving from on-premises infrastructure to cloud-based services. In cloud computing environments, infrastructure and services are maintained by the cloud vendor, allowing you to focus on how best to serve your customers. However, it can also mean migrating from one cloud to another.

Cloud 241

Cloud Traffic Best Practices Strategy 241

The Netflix TechBlog

OCTOBER 27, 2020

At Netflix, we also heavily embrace a microservice architecture that emphasizes separation of concerns. The data warehouse is not designed to serve point requests from microservices with low latency. Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store.

Latency 248

Latency Storage Big Data Tuning 248