Scalegrid

JUNE 22, 2020

Compare Latency. On average, ScaleGrid achieves almost 30% lower latency over DigitalOcean for the same deployment configurations. MySQL DigitalOcean Performance Benchmark. We are going to use a common, popular plan size using the below configurations for this performance benchmark: Comparison Overview. Compare Pricing.

Database 217

Database Benchmarking Latency Performance 217

DZone

FEBRUARY 27, 2024

Caching is a critical technique for optimizing application performance by temporarily storing frequently accessed data, allowing for faster retrieval during subsequent requests. Leveraging this hierarchical structure can significantly reduce latency and improve overall performance.

Cache 173

Cache Efficiency Architecture Design 173

DZone

AUGUST 16, 2023

Benefits of Caching Improved performance: Caching eliminates the need to retrieve data from the original source every time, resulting in faster response times and reduced latency. 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

SEPTEMBER 10, 2024

By Jose Fernandez , Sebastien Dabdoub , Jason Koch , Artem Tkachuk The Compute and Performance Engineering teams at Netflix regularly investigate performance issues in our multi-tenant environment. Traditional performance analysis tools such as perf can introduce significant overhead, risking further performance degradation.

Latency 251

Latency Metrics Programming Monitoring 251

The Netflix TechBlog

SEPTEMBER 18, 2024

Firstly, developers struggled to reason about consistency, durability and performance in this complex global deployment across multiple stores. These include challenges with tail latency and idempotency, managing “wide” partitions with many rows, handling single large “fat” columns, and slow response pagination.

Latency 254

Latency Storage Cache Efficiency 254

Dynatrace

OCTOBER 28, 2024

Optimized performance and enhanced customer experiences. This local SaaS presence minimizes latency and maximizes the speed and reliability of data access. Our partner Dynatrace works alongside Microsoft to provide deep insights and automation across the technology stack to enhance operational efficiency for organizations.

Azure 248

Azure Latency Infrastructure Cloud 248

Dynatrace

JANUARY 15, 2020

This extends Dynatrace visibility into Citrix user experience and Citrix platform performance. Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. Dynatrace Extension: SAP ABAP platform performance.

Latency 37

Latency Performance Virtualization Infrastructure 37

The Netflix TechBlog

NOVEMBER 12, 2024

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.

Latency 253

Latency Cache Infrastructure Strategy 253

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 242

Latency Storage Traffic Tuning 242

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. For a given CPU utilization target, ZGC improves both average and P99 latencies with equal or better CPU utilization when compared to G1.

Latency 240

Latency Java Tuning Efficiency 240

Dynatrace

JULY 22, 2024

Telemetry Telemetry involves collecting and analyzing data from distributed sources to provide insights into how a system is performing. Quantitative measurements that track the performance and health of systems over time. Traces are used for performance analysis, latency optimization, and root cause analysis.

Latency 245

Latency Best Practices Metrics Open Source 245

High Scalability

SEPTEMBER 8, 2018

Anna is not only incredibly fast, it’s incredibly efficient and elastic too: an autoscaling, multi-tier, selectively-replicating cloud service. You get all the multicore Anna performance you want, but you don’t pay for what you don’t need.

Storage 199

Storage Performance AWS Efficiency 199

DZone

JUNE 15, 2023

In the realm of production applications, it is customary to address performance bottlenecks such as CPU and memory issues in order to identify and resolve their underlying causes. It is worth noting that this data collection process does not impact the performance of the application.

Latency 253

Latency Storage Strategy Metrics 253

Dynatrace

JANUARY 14, 2022

That is because Kubernetes provides several benefits from a performance perspective. However, setting the right parameters for Kubernetes clusters to ensure application availability, performance, and resilience while avoiding overspending isn’t a walk in the park. Dynatrace news. below 500ms) and error rates (e.g. lower than 2%.).

Latency 217

Latency Tuning Efficiency AWS 217

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 259

AWS Efficiency Azure Cloud 259

Dynatrace

FEBRUARY 21, 2024

Benefits of quality gates Quality gates provide several advantages to organizations, including the following: Optimized software performance : Quality gates assess code at different SDLC stages and ensure that only high-quality code progresses. Several tools can be used to collect metrics in load/performance testing.

Speed 219

Speed Software Software Latency 219

The Netflix TechBlog

NOVEMBER 17, 2022

While conventional video codecs remain prevalent, NN-based video encoding tools are flourishing and closing the performance gap in terms of compression efficiency. We also performed A/B testing to understand the overall streaming impact of the deep downscaler, and detect any device playback issues.

Network 302

Network Media Innovation Efficiency 302

The Netflix TechBlog

SEPTEMBER 10, 2024

Finally, the device receives the message, and the action, such as “Show me Stranger Things on Netflix”, is performed. With these clear benefits, we continued to build out this functionality for more devices, enabling the same efficiency wins. Dynomite had great performance, but it required manual scaling as the system grew.

Latency 233

Latency Cache Tuning Efficiency 233

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. CFS is widely used and therefore well tested and Linux machines around the world run with reasonable performance.

Cache 260

Cache Latency Airlines Logistics 260

The Netflix TechBlog

JANUARY 24, 2022

To that end, it’s important that we prevent significant performance regressions from reaching the production app. Any performance regression that makes it into a product release will degrade user experience, so the challenge is to detect and fix such regressions before they ship. What do we mean by Performance?

Performance 210

Performance Performance Testing Metrics Testing 210

Dynatrace

FEBRUARY 4, 2021

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 260

Engineering DevOps Government Latency 260

The Netflix TechBlog

SEPTEMBER 24, 2021

The ProRes codec family provides great editing performance and image quality. Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances. Uploading and downloading data always come with a penalty, namely latency.

Cloud 242

Cloud Media Storage Cache 242

The Netflix TechBlog

OCTOBER 27, 2020

Iceberg is widely adopted in Netflix as a data warehouse table format that addresses many of the usability and performance problems with Hive tables. The data warehouse is not designed to serve point requests from microservices with low latency. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 254

Latency Storage Big Data Tuning 254

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 240

Processing Media Latency Innovation 240

Dynatrace

MAY 23, 2024

Such frameworks support software engineers in building highly scalable and efficient applications that process continuous data streams of massive volume. Performance is usually a primary concern when using stream processing frameworks. See more about the performance of stream processing frameworks in our published paper.

Engineering 192

Engineering Tuning Latency Open Source 192

Dynatrace

JANUARY 17, 2024

As organizations turn to artificial intelligence for operational efficiency and product innovation in multicloud environments, they have to balance the benefits with skyrocketing costs associated with AI. An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance.

Strategy 234

Strategy Artificial Intelligence Storage Cloud 234

Dynatrace

APRIL 7, 2023

Dynatrace is a launch partner in support of AWS Lambda Response Streaming , a new capability enabling customers to improve the efficiency and performance of their Lambda functions. Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes.

Lambda 227

Lambda AWS Serverless Latency 227

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 236

Serverless Media Latency Social Media 236

Dynatrace

OCTOBER 1, 2021

The goal of observability is to understand what’s happening across all these environments and among the technologies, so you can detect and resolve issues to keep your systems efficient and reliable and your customers happy. Observability enables you to understand what is slow or broken and what needs to be done to improve performance.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience.

Analytics 214

Analytics Infrastructure Efficiency Technology 214

The Netflix TechBlog

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 214

Storage Latency Efficiency Data Engineering 214

Dynatrace

MARCH 29, 2024

During a breakout session at Dynatrace Perform 2024 , Alois Mayr, principal product manager at Dynatrace, and Stefano Doni, CTO at Akamas, broke down how Dynatrace and Akamas can help organizations enhance Kubernetes cluster management. .” Consider a sudden drop in performance. ” For Doni, it’s all about balance.

Engineering 238

Engineering DevOps Operating System Open Source 238

Dynatrace

JUNE 1, 2023

Service level objectives (SLOs) provide a powerful framework for measuring and maintaining software performance, reliability, and user satisfaction. SLOs are a valuable tool for organizations to ensure the health and performance of their applications. Note : you might hear the term latency used instead of response time.

Latency 189

Latency Website Traffic Virtualization 189

The Netflix TechBlog

JUNE 13, 2023

A small percentage of production traffic is redirected to the two new clusters, allowing us to monitor the new version’s performance and compare it against the current version. Canaries also provide an opportunity to measure system performance under different load conditions, allowing us to identify and resolve any performance bottlenecks.

Traffic 287

Traffic Metrics Systems Strategy 287

The Netflix TechBlog

MARCH 4, 2024

We have deployed Auto Remediation in production for handling memory configuration errors and unclassified errors of Spark jobs and observed its efficiency and effectiveness (e.g., For efficient error handling, Netflix developed an error classification service, called Pensive, which leverages a rule-based classifier for error classification.

Tuning 219

Tuning Efficiency Big Data Engineering 219

Highly Scalable

SEPTEMBER 18, 2012

These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. Historically, NoSQL paid a lot of attention to tradeoffs between consistency, fault-tolerance and performance to serve geographically distributed systems, low-latency or highly available applications.

Database 213

Database Latency C++ Scalability 213

Dynatrace

SEPTEMBER 25, 2019

Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. Platform performance —get visibility into the performance of the Citrix platform to optimize application delivery. Dynatrace Extension: SAP ABAP platform performance.

Latency 119

Latency Performance Virtualization Infrastructure 119