Scalegrid

FEBRUARY 6, 2025

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. RabbitMQ follows a message broker model with advanced routing, while Kafkas event streaming architecture uses partitioned logs for distributed processing. What is RabbitMQ?

Latency 147

Latency Analytics Architecture Storage 147

The Netflix TechBlog

AUGUST 1, 2022

A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users.

Processing 273

Processing Transportation Entertainment Tuning 273

Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The Serverless Process.

Serverless 246

Serverless Efficiency Lambda AWS 246

Dynatrace

OCTOBER 29, 2024

In addition to service-level monitoring, certain services within the OpenTelemetry demo application expose process-level metrics, such as CPU and memory consumption, number of threads, or heap size for services written in different languages. So, stay tuned for more enhancements and features. This is just the beginning.

Metrics 246

Metrics Tuning Monitoring Availability 246

The Netflix TechBlog

NOVEMBER 12, 2024

Introducing sufficient jitter to the flush process can further reduce contention. By creating multiple topic partitions and hashing the counter key to a specific partition, we ensure that the same set of counters are processed by the same set of consumers. This process can also be used to track the provenance of increments.

Latency 248

Latency Cache Infrastructure Strategy 248

The Netflix TechBlog

DECEMBER 17, 2024

As Netflix expanded globally and the volume of title launches skyrocketed, the operational challenges of maintaining this manual process became undeniable. This led to a suite of fragmented scripts, runbooks, and ad hoc solutions scattered across teamsan approach that was neither sustainable nor efficient.

Traffic 170

Traffic Scalability Strategy Monitoring 170

The Netflix TechBlog

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

Processing 235

Processing Media Latency Innovation 235

The Netflix TechBlog

MARCH 4, 2025

As a result, requests are uniformly handled, and responses are processed cohesively. This data is processed from a real-time impressions stream into a Kafka queue, which our title health system regularly polls. The request schema for the observability endpoint.

Traffic 172

Traffic Strategy Entertainment Innovation 172

Dynatrace

FEBRUARY 25, 2025

This blog post dissects the vulnerability, explains how Struts processes file uploads, details the exploit mechanics, and outlines mitigation strategies. This allows developers to easily access and process the file without handling the upload mechanics directly. Complete mitigation is only guaranteed in Struts version 7.0.0

Servers 214

Servers Processing Java Tuning 214

The Netflix TechBlog

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Processing 216

Processing Big Data Efficiency Engineering 216

Scalegrid

FEBRUARY 24, 2025

This guide will cover how to distribute workloads across multiple nodes, set up efficient clustering, and implement robust load-balancing techniques. Proper setup involves creating a configuration process that accounts for hostname changes, which could prevent nodes from rejoining the cluster.

Best Practices 147

Best Practices Traffic Strategy Efficiency 147

Dynatrace

MAY 2, 2024

Across the globe, privacy laws grant individuals data subject rights, such as the right to access and delete personal data processed about them. 2] — Nader Henein, VP Analyst, Gartner The Privacy Rights app is designed to streamline this process in Dynatrace.

Tuning 278

Tuning Scalability Efficiency Processing 278

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

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 246

Artificial Intelligence Tuning Strategy Big Data 246

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 306

DevOps Best Practices Open Source Tuning 306

The Netflix TechBlog

SEPTEMBER 18, 2024

Our goal was to build a versatile and efficient data storage solution that could handle a wide variety of use cases, ranging from the simplest hashmaps to more complex data structures, all while ensuring high availability, tunable consistency, and low latency. Cassandra), ensuring fast and efficient access.

Latency 258

Latency Storage Cache Efficiency 258

Dynatrace

APRIL 16, 2024

The shift-left approach aims to ensure bugs and other issues are discovered and addressed early in the development process, leading to improved software quality and lower costs associated with late-stage troubleshooting. Why the sudden change in tune? Instead, it’s now prelevant throughout the entire lifecycle. Well, it’s simple.

Development 264

Development Software Software Tuning 264

DZone

AUGUST 16, 2019

Application scalability is the potential of an application to grow in time, being able to efficiently handle more and more requests per minute (RPM). It’s not just a simple tweak you can turn on/off; it’s a long-time process that touches almost every single item in your stack, including both hardware and software sides of the system.

Scalability 145

Scalability Efficiency Hardware Software 145

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

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.

Tuning 215

Tuning Efficiency Big Data Engineering 215

The Netflix TechBlog

JUNE 7, 2021

Berkeley Packet Filter (BPF) is an in-kernel execution engine that processes a virtual instruction set, and has been extended as eBPF for providing a safe way to extend kernel functionality. After several iterations of the architecture and some tuning, the solution has proven to be able to scale. What is BPF?

Network 327

Network Transportation AWS Cloud 327

The Netflix TechBlog

OCTOBER 27, 2020

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 249

Latency Storage Big Data Tuning 249

Dynatrace

JULY 22, 2024

Using OpenTelemetry, developers can collect and process telemetry data from applications, services, and systems. The OpenTelemetry Protocol (OTLP) plays a critical role in this framework by standardizing how systems format and transport telemetry data, ensuring that data is interoperable and transmitted efficiently.

Latency 264

Latency Best Practices Metrics Open Source 264

Dynatrace

JULY 11, 2024

Dynatrace Grail™ is a data lakehouse optimized for high performance, automated data collection and processing, and queries of petabytes of data in real time. Another consideration is compliance with end-user privacy rights to delete personal data processed about them in line with data protection laws like GDPR and CCPA.

Storage 264

Storage Best Practices Government Media 264

Dynatrace

APRIL 20, 2023

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. ” A data warehouse, on the other hand, is an efficient and fast option for querying data.

Analytics 246

Analytics Infrastructure Storage Architecture 246

The Netflix TechBlog

MARCH 5, 2024

Operational simplicity Service owners often reach out to us with questions about excessive pause times and for help with tuning. We have several frameworks that periodically refresh large amounts of on-heap data to avoid external service calls for efficiency. No explicit tuning has been required to achieve these results.

Latency 235

Latency Java Tuning Efficiency 235

Dynatrace

JULY 30, 2024

Having end-to-end visibility across the entire IT environment and validating our findings with customers and partners, we identified four key pain points DORA surfaces and how we think Dynatrace helps turn them into opportunities to innovate while increasing security, resiliency, and efficiency.

Government 227

Government Innovation Analytics Open Source 227

Dynatrace

MAY 12, 2022

To stay tuned, keep an eye on our release notes. Remediation tracking now enables you to view the risk assessment for the process groups affected by a vulnerability. Reintroduced a limit of 100,000 process group instances (last 72h) running on hosts presented on the “Deployment status” page for OneAgents. (APM-370529).

Tuning 246

Tuning Metrics Cloud Mobile 246

Dynatrace

NOVEMBER 24, 2020

Tracking changes to automated processes, including auditing impacts to the system, and reverting to the previous environment states seamlessly. The ultimate goal of each of these reviews is to identify gaps, quantify risk, and develop recommendations for improving the team, processes, and architecture with each of the five pillars.

AWS 221

AWS Artificial Intelligence Best Practices Lambda 221

The Netflix TechBlog

NOVEMBER 14, 2023

In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. We’ll return to the sample customer lifecycle: Processing Requirement : Keep track of the end-of-hour state of accounts, e.g., Active/Upgraded/Downgraded/Canceled.

Processing 250

Processing Tuning C++ Efficiency 250

Dynatrace

JANUARY 30, 2024

You don’t really gain the efficiencies or the objectives that you need to be [gaining].” Johnson also shared how his team is using AI to automate certain talent management processes, such as expediting applicant-job matching and aligning training and certification offerings with workforce skill gaps. Download now!

Artificial Intelligence 246

Artificial Intelligence Government Innovation Programming 246

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. This is required for understanding how I intend to improve the efficiency of (manual) alert ticket handling. With R (or RStudio) you can efficiently perform analysis on large data sets.

Tuning 264

Tuning Architecture Monitoring Big Data 264

Dynatrace

OCTOBER 23, 2023

Communicating security insights efficiently across teams in your organization isn’t easy Security management is a complex and challenging task; effectively communicating security insights is even more so. Sample dashboard Next, you want to prepare an efficient plan for remediation.

Efficiency 264

Efficiency Best Practices Tuning Internet 264

DZone

JANUARY 6, 2024

Profile-Guided Optimization (PGO) stands as a potent technique capable of substantially enhancing the efficiency of your Java programs. By harnessing runtime profiling data, PGO empowers developers to fine-tune their code and apply optimizations that align with their application's real-world usage patterns.

Java 189

Java Performance Tuning Programming 189

DZone

MARCH 7, 2023

Apache Spark is a powerful open-source distributed computing framework that provides a variety of APIs to support big data processing. In addition, pySpark applications can be tuned to optimize performance and achieve better execution time, scalability, and resource utilization.

Big Data 173

Big Data Code Tuning Open Source 173

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. Log monitoring is a process by which developers and administrators continuously observe logs as they’re being recorded. Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

Dynatrace

SEPTEMBER 28, 2020

Getting the problem status of all environments has to be efficient. Websockets allows efficient data push via multicast to browsers and D3.js Stay tuned for my next part of this series where I will cover another visualization and how it helped me optimize the Dynatrace Anomaly Detection settings and our operations processes!

Storage 276

Storage Architecture Tuning Efficiency 276