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. Both serve distinct purposes, from managing message queues to ingesting large data volumes.

Latency 147

Latency Analytics Architecture Storage 147

The Netflix TechBlog

FEBRUARY 14, 2025

Every image you hover over isnt just a visual placeholder; its a critical data point that fuels our sophisticated personalization engine. This nuanced integration of data and technology empowers us to offer bespoke content recommendations.

Tuning 166

Tuning Latency Efficiency Storage 166

Scalegrid

FEBRUARY 24, 2025

Scaling RabbitMQ ensures your system can handle growing traffic and maintain high performance. Youll also learn strategies for maintaining data safety and managing node failures so your RabbitMQ setup is always up to the task. This setup prioritizes data safety, with most replicas online at any given time.

Best Practices 147

Best Practices Traffic Strategy Efficiency 147

The Netflix TechBlog

JUNE 14, 2023

Testing Strategies: A Summary Two key factors determined our testing strategies: Functional vs. non-functional requirements Idempotency If we were testing functional requirements like data accuracy, and if the request was idempotent , we relied on Replay Testing. In such cases, we were not testing for response data but overall behavior.

Traffic 357

Traffic Latency Metrics Cache 357

The Netflix TechBlog

JULY 26, 2021

This happens at an unprecedented scale and introduces many interesting challenges; one of the challenges is how to provide visibility of Studio data across multiple phases and systems to facilitate operational excellence and empower decision making. With the latest Data Mesh Platform, data movement in Netflix Studio reaches a new stage.

Big Data 257

Big Data Government Processing Analytics 257

Uber Engineering

OCTOBER 17, 2018

To accomplish this, Uber relies heavily on making data-driven decisions at every level, from forecasting rider demand during high traffic events to identifying and addressing bottlenecks … The post Uber’s Big Data Platform: 100+ Petabytes with Minute Latency appeared first on Uber Engineering Blog.

Big Data 109

Big Data Latency Transportation Traffic 109

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce.

Analytics 191

Analytics Traffic Big Data Efficiency 191

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. No locks on tables are ever acquired, which prevent impacting write traffic on the source database. Writing events to any output.

Database 221

Database Traffic Transportation Open Source 221

Dynatrace

DECEMBER 27, 2022

SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. This telemetry data serves as the basis for establishing meaningful SLOs. SLOs aid decision making. SLOs promote automation. Reliability.

Software 306

Software Software Benchmarking Latency 306

Dynatrace

FEBRUARY 21, 2024

Before a new version of the application is deployed, the software is subject to a series of load tests that evaluate capacity and performance under a series of simulated traffic and application demands. These metrics are latency, traffic, errors, and saturation, all of which must be key considerations when curating user experience.

Speed 264

Speed Software Software Latency 264

Dynatrace

AUGUST 25, 2023

These signals ( latency, traffic, errors, and saturation ) provide a solid means of proactively monitoring operative systems via SLOs and tracking business success. Performance typically addresses response times or latency aspects and contributes to the four golden signals. This is what Dynatrace captures as response time.

Performance 244

Performance Latency Traffic Metrics 244

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. No locks on tables are ever acquired, which prevent impacting write traffic on the source database. Writing events to any output.

Database 206

Database Traffic Transportation Open Source 206

Dynatrace

MAY 17, 2023

OpenTelemetry , the open source observability tool, has become the go-to standard for instrumenting custom applications to collect observability telemetry data. For this third and final part of our series, we saved the best for last: How you can enhance telemetry data even more and with less effort on your end with Dynatrace OneAgent.

Metrics 243

Metrics Database Monitoring Network 243

The Netflix TechBlog

SEPTEMBER 10, 2024

Continuous Instrumentation of the Linux Scheduler To ensure the reliability of our workloads that depend on low latency responses, we instrumented the run queue latency for each container, which measures the time processes spend in the scheduling queue before being dispatched to the CPU. For this purpose, we chose the eBPF ring buffer.

Latency 262

Latency Metrics Programming Monitoring 262

DZone

AUGUST 16, 2023

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing. Bandwidth optimization: Caching reduces the amount of data transferred over the network, minimizing bandwidth usage and improving efficiency.

Cache 246

Cache Scalability Performance Latency 246

The Netflix TechBlog

NOVEMBER 3, 2022

We introduce a caching mechanism in the API gateway layer, allowing us to offload processing from singleton leader elected controllers without giving up strict data consistency and guarantees clients observe. Active data includes jobs and tasks that are currently running. Titus Gateway handles user requests.

Cache 233

Cache Latency Traffic Systems 233

Dynatrace

JUNE 1, 2023

Fitness app : The fitness app should offer a response time of less than 500 milliseconds for exercise tracking and data recording. Note : you might hear the term latency used instead of response time. Note : you might hear the term latency used instead of response time. Latency primarily focuses on the time spent in transit.

Website 245

Website Latency Traffic Virtualization 245

The Netflix TechBlog

SEPTEMBER 8, 2020

This allowed Android engineers to have much more control and observability over how we get our data. Background The Netflix Android app uses the falcor data model and query protocol. For example, the artwork service is separate from the video metadata service, but we need the data from both in the detail key.

Latency 241

Latency Cache Java Traffic 241

Dynatrace

MAY 17, 2023

While the first guardian validates the traffic, the second guardian checks the business transactions generated during the observation period. In this case, the four golden signals (latency, traffic, errors, and saturation) are derived from span attributes and DQL metric queries via Dynatrace Grail™.

DevOps 246

DevOps Traffic Latency Best Practices 246

Dynatrace

MAY 31, 2023

Maintaining reliable uptime and consistent service quality has become more complex as organizations expand their computing footprints across multiple data centers and in the cloud. The growing amount of data processed at the network edge, where failures are more difficult to prevent, magnifies complexity.

Best Practices 246

Best Practices DevOps Latency Metrics 246

Dynatrace

MARCH 16, 2023

Monitors signals The first attribute of a good SLO is the ability to monitor the four “golden signals”: latency, traffic, error rates, and resource saturation. By providing data relevant to both parties — such as user adoption metrics for CEOs and application crash data for CTOs — organizations can find common ground.

DevOps 264

DevOps Latency Metrics Traffic 264

Dynatrace

FEBRUARY 15, 2023

SREs use Service-Level Indicators (SLI) to see the complete picture of service availability, latency, performance, and capacity across various systems, especially revenue-critical systems. While this empowers teams to frequently deliver new features, the overall business, security, and quality objectives must be maintained.

DevOps 246

DevOps Latency Traffic Best Practices 246

Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. With an on-prem data center, the organization bears the burden of securing the physical infrastructure and its digital assets. What is cloud migration?

Cloud 241

Cloud Traffic Best Practices Hardware 241

The Netflix TechBlog

MARCH 5, 2024

Reduced tail latencies In both our GRPC and DGS Framework services, GC pauses are a significant source of tail latencies. Each of these errors is a canceled request resulting in a retry so this reduction further reduces overall service traffic by this rate: Errors rates per second. There is no best garbage collector.

Latency 237

Latency Java Tuning Efficiency 237

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 258

Cache Latency Airlines Logistics 258

Dynatrace

APRIL 25, 2023

For example, to handle traffic spikes and pay only for what they use. Scale automatically based on the demand and traffic patterns. Higher latency and cold start issues due to the initialization time of the functions. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces.

Serverless 246

Serverless Lambda Azure AWS 246

Dynatrace

AUGUST 27, 2024

To learn more about other ways that Dynatrace helps organizations achieve regulatory compliance, check out the blog: Privacy spotlight: Control compliance in Dynatrace with multiple layers of sensitive data masking.

Best Practices 290

Best Practices Government DevOps Analytics 290

Dynatrace

MAY 19, 2022

Due to the massive amount of data, no one knew what action to take if a number went red. In their new dashboard, they added dimensions for load, latency, and open problems for each component. The “Four Golden Signals” include the following: Latency. They quickly found this was an overwhelming set of numbers. Saturation.

Automotive 290

Automotive Latency Architecture Mobile 290

Dynatrace

JUNE 27, 2022

Real user monitoring (RUM) is a performance monitoring process that collects detailed data about users’ interactions with an application. RUM collects data on each user action within a session, including the time required to complete the action, so IT pros can identify patterns and where to make improvements in experience.

Best Practices 244

Best Practices Monitoring Wireless Traffic 244

Dynatrace

JUNE 8, 2020

Dynatrace Managed operates as a SaaS solution that keeps your data and data analysis on-premise in your own data center, thereby fulfilling the highest privacy and regulatory needs. Access your cluster health data in Dynatrace Managed. An illustration of the cluster overview dashboard is shown below.

Software 214

Software Software Programming Metrics 214

Dynatrace

JULY 6, 2020

Azure Traffic Manager. Our customers have frequently requested support for this first new batch of services, which cover databases, big data, networks, and computing. See the health of your big data resources at a glance. Azure Front Door. Gain enhanced visibility into your Azure environment.

Azure 227

Azure Cloud Big Data Virtualization 227

The Netflix TechBlog

AUGUST 13, 2020

You’re not yet convinced there’s a real problem but you’re also aware that the clock is ticking as you dig through a mountain of data looking for clues. Telltale combines a variety of data sources to create a holistic view of an application’s health. Regional traffic evacuations. Mantis real-time streaming data.

Monitoring 219

Monitoring Tuning Traffic Metrics 219

The Netflix TechBlog

OCTOBER 19, 2020

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Traces collected from various microservices are ingested in a stream processing manner into the data store.

Infrastructure 238

Infrastructure Transportation Storage Open Source 238

Dynatrace

JUNE 1, 2023

Fitness app : The fitness app should offer a response time of less than 500 milliseconds for exercise tracking and data recording. Note : you might hear the term latency used instead of response time. Note : you might hear the term latency used instead of response time. Latency primarily focuses on the time spent in transit.

Traffic 173

Traffic Website Latency Virtualization 173

Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs).

Monitoring 246

Monitoring Social Media IoT Metrics 246

The Netflix TechBlog

AUGUST 30, 2021

These checkpoint events enable faster state reconstruction by consumers of the data feed while guarding against missed updates. CockroachDB is chosen as the backing data store since it offered SQL capabilities, and our data model for the device records was normalized. million elements.

Latency 222

Latency Traffic Transportation Cloud 222

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. divide the input video into small chunks 2.

Processing 238

Processing Media Latency Innovation 238