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 193

Engineering Tuning Latency Open Source 193

Dynatrace

OCTOBER 2, 2023

Transforming an application from monolith to microservices-based architecture can be daunting, and knowing where to start can be difficult. Unsurprisingly, organizations are breaking away from monolithic architectures and moving toward event-driven microservices. Migration is time-consuming and involved. create a microservice; 2.

Architecture 245

Architecture Artificial Intelligence Cloud Open Source 245

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 248

Latency Storage Cache Efficiency 248

The Netflix TechBlog

MAY 4, 2023

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This technique facilitates validation on multiple fronts.

Traffic 344

Traffic Latency Tuning Systems 344

The Netflix TechBlog

MARCH 5, 2024

In fact, we’ve found for our services and architecture that there is no such trade off. Operational simplicity Service owners often reach out to us with questions about excessive pause times and for help with tuning. No explicit tuning has been required to achieve these results.

Latency 234

Latency Java Tuning Efficiency 234

Scalegrid

MARCH 23, 2020

Check out the Pgpool-II architecture that supports all of its features, and learn how the connection pooler works. Pgpool-II has a more involved architecture than PgBouncer in order to support all the features it does. The Pgpool-II parent process forks 32 child processes by default – these are available for connection.

Cache 264

Cache Servers Architecture Processing 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. Processing took several hours to complete. Here is a visualization of this flow.

Media 296

Media Innovation Energy Architecture 296

Alex Podelko

OCTOBER 20, 2016

New Architectures (this post). Cloud seriously impacts system architectures that has a lot of performance-related consequences. Cloud and virtualization triggered appearance dynamic, auto-scaling architectures, which significantly impact getting and analyzing feedback. – Cloud. – Agile. – New Technologies.

Performance Testing 100

Performance Testing Architecture Testing Performance 100

Dynatrace

JULY 6, 2022

At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. Adding AIOps to automation processes makes the volume of data that applications and multicloud environments generate much less overwhelming.

Artificial Intelligence 202

Artificial Intelligence Tuning Strategy Big Data 202

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. To avoid processing old events, a staleness filter is applied as a gating check.

Systems 334

Systems Traffic Architecture Mobile 334

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. We sometimes raise this limit for backfilling historical data, but it is tuned back down for regular write operations.

Latency 236

Latency Storage Traffic Tuning 236

Scalegrid

OCTOBER 17, 2019

In that environment, the first PostgreSQL developers decided forking a process for each connection to the database is the safest choice. It is difficult to fault their argument – as it’s absolutely true that: Each client having its own process prevents a poorly behaving client from crashing the entire database.

Architecture 200

Architecture Database Latency Servers 200

Dynatrace

APRIL 20, 2023

Logs highlight observability challenges Ingesting, storing, and processing the unprecedented explosion of data from sources such as software as a service, multicloud environments, containers, and serverless architectures can be overwhelming for today’s organizations. Ingesting, processing, retaining, and querying logs.

Analytics 201

Analytics Infrastructure Storage Architecture 201

Dynatrace

NOVEMBER 24, 2020

As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. Fully conceptualizing capacity requirements. How to get started.

AWS 149

AWS Artificial Intelligence Best Practices Lambda 149

Dynatrace

MARCH 29, 2024

” The Dynatrace Kubernetes app also provides process ownership data, ensuring information is directed to the right team and root causes are addressed. Dynatrace and Akamas work together to help organizations pinpoint problems, determine ownership, and implement autonomous processes that help reduce the risk of ongoing issues.

Engineering 239

Engineering DevOps Operating System Open Source 239

Dynatrace

JANUARY 18, 2024

In a perfect world, a robust AI model can perform complex tasks while users observe the decision process and audit any errors or concerns. More transparency means a better understanding of the technology being used, better troubleshooting, and more opportunities to fine-tune an organization’s tools. Communication methods.

Artificial Intelligence 225

Artificial Intelligence Healthcare Government Technology 225

The Netflix TechBlog

JUNE 7, 2021

Flow Exporter The Flow Exporter is a sidecar that uses eBPF tracepoints to capture TCP flows at near real time on instances that power the Netflix microservices architecture. After several iterations of the architecture and some tuning, the solution has proven to be able to scale. What is BPF?

Network 326

Network Transportation AWS Cloud 326

The Netflix TechBlog

JUNE 20, 2024

This “Enterprise Data Model/Architect Agent” employs generative AI techniques for autonomous enterprise data modeling and architecture. Creating new development environments is cumbersome: Populating them with data is compute-intensive, and the deployment process is error-prone, leading to higher costs, slower iteration, and unreliable data.

Data Engineering 204

Data Engineering Engineering Entertainment Software Engineering 204

The Netflix TechBlog

SEPTEMBER 24, 2021

By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Packaging has always been an important step in media processing. Uploading and downloading data always come with a penalty, namely latency.

Cloud 240

Cloud Media Storage Cache 240

The Netflix TechBlog

MARCH 4, 2024

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. In this way, no human intervention is required in the remediation process. Multi-objective optimizations. user name).

Tuning 214

Tuning Efficiency Big Data Engineering 214

The Netflix TechBlog

JANUARY 13, 2022

Batch Pensive Batch Pensive Architecture Batch workflows in the data platform run using a Scheduler service that launches containers on the Netflix container management platform called Titus to run workflow steps. In the future, we are looking to automate this process. Expand Pensive with Machine Learning classifiers.

Big Data 241

Big Data Infrastructure Metrics Games 241

Dynatrace

FEBRUARY 16, 2023

The goal is to turn more data into insights so the whole organization can make data-driven decisions and automate processes. Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity.

Analytics 199

Analytics Innovation Metrics Database 199

Dynatrace

JANUARY 26, 2021

DevSecOps is a cross-team collaboration framework that integrates security into DevOps processes from the start rather than waiting to address security in a separate silo. DevOps has gained ground in recent years as a way to combine key operational principles with development cycles, recognizing that these two processes must coexist.

DevOps 281

DevOps Best Practices Open Source Tuning 281

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. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The Serverless Process. Making use of serverless architecture.

Serverless 246

Serverless Efficiency Lambda AWS 246

The Netflix TechBlog

JUNE 30, 2020

In an effort to effectively and efficiently produce this content we are looking to improve and automate many areas of the production process. Production: Enable content creation from script to screen that optimizes the production process for efficiency and transparency.

Engineering 241

Engineering Entertainment Logistics Innovation 241

Dynatrace

NOVEMBER 14, 2023

Golden Paths for rapid product development Modern software development aims to streamline development and delivery processes to ensure fast releases to the market without violating quality and security standards. After completing this two-step process, a ready-to-use guardian is created.

Government 207

Government Best Practices DevOps Engineering 207

Percona

APRIL 7, 2023

If we were to select the most important MySQL setting, if we were given a freshly installed MySQL or Percona Server for MySQL and could only tune a single MySQL variable, which one would it be? To be fair, that is also true with PostgreSQL; it hasn’t been tuned either, and it, too, can also perform much better.

Tuning 139

Tuning Cache Servers Benchmarking 139

Dynatrace

DECEMBER 9, 2020

Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Heterogeneous cloud-native microservice architectures can lead to visibility gaps in distributed traces. Dynatrace news. What’s next?

Java 245

Java Traffic Architecture Serverless 245

The Netflix TechBlog

APRIL 12, 2022

In a federated graph architecture, how can we answer such a query given that each entity is served by its own service? Architecture Putting this all together, below you can see a simplified view of the architecture. By transacting with a database which is monitored by a CDC connector that creates events, or b.

Engineering 268

Engineering Architecture Java Infrastructure 268

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” Understand and optimize your architecture. So stay tuned! Dynatrace news. Optimize timing hotspots.

Serverless 242

Serverless Azure Monitoring Lambda 242

Dynatrace

MARCH 11, 2021

I wanted to understand how I could tune Dynatrace’s problem detection, but to do that I needed to understand the situation first. If during the ticket handling another alert is raised this process repeats – but maybe with a different set of people who are working in parallel. Instead, we were able to focus on the relevant ones.

Tuning 264

Tuning Architecture Monitoring Big Data 264

Dynatrace

JULY 18, 2023

As software development grows more complex, managing components using an automated onboarding process becomes increasingly important. This is especially crucial in microservice architectures, where the number of components can be overwhelming. The screenshot below displays such a configuration.

Best Practices 203

Best Practices Code Infrastructure Latency 203

Dynatrace

JULY 6, 2022

Weaving DevOps and the related disciplines of DevSecOps and AIOps tightly into the development process can also accelerate the process. These reduce the need to hire specialists while providing a unified view of processes and infrastructure that make SRE more focused and effective. Design, implement, and tune effective SLOs.

Best Practices 201

Best Practices Open Source Tuning Infrastructure 201

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Logs can include data about user inputs, system processes, and hardware states. Dynatrace news. billion in 2020 to $4.1 What are logs? More automation.

Analytics 222

Analytics Monitoring Artificial Intelligence DevOps 222

The Netflix TechBlog

OCTOBER 18, 2022

Meson was based on a single leader architecture with high availability. For example, a workflow to backfill hourly data for the past five years can lead to 43800 jobs (24 * 365 * 5), each of which processes data for an hour. Figure 1 shows the high-level architecture. With the high growth of workflows in the past few years?

Java 208

Java Scalability Traffic Architecture 208

Scalegrid

AUGUST 27, 2024

Wondering where RabbitMQ fits into your architecture? Key features of RabbitMQ, such as message acknowledgments, complex routing, and asynchronous processing, contribute to system reliability and performance. Furthermore, RabbitMQ embraces an acknowledgment pattern within its infrastructure, ensuring reliable message processing.

Ecommerce 130

Ecommerce IoT Games Scalability 130

The Netflix TechBlog

AUGUST 13, 2020

You’re half awake and wondering, “Is there really a problem or is this just an alert that needs tuning? Telltale learns what constitutes typical health for an application, no alert tuning required. Intelligent Monitoring Every service operator knows the difficulty of alert tuning. By Andrei U., A metric crossed a threshold.

Monitoring 215

Monitoring Tuning Traffic Metrics 215