DZone

AUGUST 18, 2023

We all know that data is being generated at an unprecedented rate. You may also know that this has led to an increase in the demand for efficient and secure data storage solutions that won’t break the bank. This article will explore what edge data platforms and real-time services are, why they are important, and how they can be used.

IoT 130

IoT Media Latency Storage 130

VoltDB

FEBRUARY 29, 2024

Imagine the digital world as a bustling highway, where data packets are vehicles racing to their destinations. In this fast-paced ecosystem, two vital elements determine the efficiency of this traffic: latency and throughput. LATENCY: THE WAITING GAME Latency is like the time you spend waiting in line at your local coffee shop.

Latency 52

Latency Games Traffic Network 52

CSS Wizardry

JANUARY 31, 2019

When it comes to network performance, there are two main limiting factors that will slow you down: bandwidth and latency. the maximum rate of data transfer across a given path. Latency is defined as…. how long it takes for a bit of data to travel across the network from one node or endpoint to another.

Latency 133

Latency Network Speed Servers 133

Dynatrace

JUNE 25, 2020

The network latency between cluster nodes should be around 10 ms or less. With Dynatrace actively managing business-critical applications, some of our globally distributed enterprise customers require Dynatrace Managed to continue operating even when an entire data center goes down. Minimized cross-data center network traffic.

Availability 256

Availability Hardware Latency Traffic 256

VoltDB

APRIL 25, 2024

To move as fast as they can at scale while protecting mission-critical data, more and more organizations are investing in private 5G networks, also known as private cellular networks or just “private 5G” (not to be confused with virtual private networks, which are something totally different). billion in 2022.

Network 52

Network IoT Wireless Infrastructure 52

Scalegrid

JANUARY 19, 2024

When a MongoDB rollback happens, it can cause trouble to your data integrity and system consistency. Understanding how to address a rollback is critical for minimizing potential data loss and maintaining seamless operations. With direct, actionable insights, prepare to navigate the complexities of rollbacks with confidence.

Database 130

Database Network Servers Monitoring 130

VoltDB

MAY 14, 2024

Balancing Low Latency, High Availability and Cloud Choice Cloud hosting is no longer just an option — it’s now, in many cases, the default choice. billion , may finally be starting to slow down in the face of companies refusing to fully abandon their in-house data centers. Why are they refusing? But you will still need expertise.

Latency 52

Latency Availability Cloud Hardware 52

Dynatrace

DECEMBER 13, 2023

Mobile applications (apps) are an increasingly important channel for reaching customers, but the distributed nature of mobile app platforms and delivery networks can cause performance problems that leave users frustrated, or worse, turning to competitors. Here are some ways observability data is important to mobile app performance monitoring.

Best Practices 211

Best Practices Mobile Metrics Performance 211

CSS Wizardry

OCTOBER 16, 2023

Compressing them over the network: Which compression algorithm, if any, will we use? Plotted on the same horizontal axis of 1.6s, the waterfalls speak for themselves: 201ms of cumulative latency; 109ms of cumulative download. 4,362ms of cumulative latency; 240ms of cumulative download. Read the complete test methodology.

Cache 312

Cache Latency Strategy Speed 312

VoltDB

NOVEMBER 20, 2024

Advances in the Industrial Internet of Things (IIoT) and edge computing have rapidly reshaped the manufacturing landscape, creating more efficient, data-driven, and interconnected factories. This convergence promises not only to streamline operations but also to unlock new levels of automation, data insight, and responsiveness.

IoT 52

IoT Energy Latency Automotive 52

The Netflix TechBlog

DECEMBER 21, 2020

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 209

Storage Latency Efficiency Data Engineering 209

VoltDB

AUGUST 8, 2024

quintillion bytes of data are generated each day, enterprises have more data under their control than ever before. Unfortunately, many organizations lack the tools, infrastructure, and architecture needed to unlock the full value of that data. What are the benefits of a real-time data platform? In a world where 2.5

IoT 52

IoT Latency Traffic Logistics 52

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 183

Metrics Monitoring Database Network 183

Percona

JULY 20, 2023

We often forget or take for granted the network hops involved and the additional overhead it creates on the overall performance. Previously I had written about how the volume of data transmission as part of SQL execution, as well as the cursor location, affects the overall performance.

Network 66

Network Performance Latency Servers 66

DZone

FEBRUARY 2, 2024

In the rapidly evolving landscape of the Internet of Things (IoT), edge computing has emerged as a critical paradigm to process data closer to the source—IoT devices. This proximity to data generation reduces latency, conserves bandwidth and enables real-time decision-making.

IoT 204

IoT Artificial Intelligence Latency Internet 204

Dynatrace

SEPTEMBER 23, 2020

Recent improvements in OneAgent runtime-data handling. Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. Storage and network transfer of files is a measurable cost. Customizable location of large runtime files. See details below.

Storage 153

Storage Latency Operating System Network 153

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 229

Cache Latency Traffic Systems 229

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

Dynatrace

AUGUST 21, 2024

These releases often assumed ideal conditions such as zero latency, infinite bandwidth, and no network loss, as highlighted in Peter Deutsch’s eight fallacies of distributed systems. With Dynatrace, teams can seamlessly monitor the entire system, including network switches, database storage, and third-party dependencies.

Engineering 204

Engineering Systems Latency Metrics 204

The Morning Paper

NOVEMBER 10, 2019

Snap: a microkernel approach to host networking Marty et al., This paper describes the networking stack, Snap , that has been running in production at Google for the last three years+. It implements reliability, congestion control, optional ordering, flow control, and execution of remote data access operations. SOSP’19.

Network 92

Network Transportation Latency Entertainment 92

The Netflix TechBlog

SEPTEMBER 10, 2024

This allows data to be sent to the device from backend services on demand, without the need for continually polling requests from the device. In our case, we value low latency — the faster we can read from KeyValue, the faster these messages can get delivered. As Pushy’s portfolio grew, we experienced some pain points with Dynomite.

Latency 228

Latency Cache Tuning Efficiency 228

Dynatrace

OCTOBER 23, 2023

Hyper-V plays a vital role in ensuring the reliable operations of data centers that are based on Microsoft platforms. Firstly, managing virtual networks can be complex as networking in a virtual environment differs significantly from traditional networking. What is Microsoft Hyper-V?

Efficiency 227

Efficiency Virtualization Hardware Performance 227

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 233

Best Practices DevOps Latency Metrics 233

Scalegrid

JANUARY 25, 2024

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. These essential data points heavily influence both stability and efficiency within the system.

Metrics 130

Metrics Monitoring Latency Cache 130

High Scalability

JANUARY 11, 2022

from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. Data Models. Graph Data Models.

Design 334

Design Media Storage Logistics 334

Scalegrid

AUGUST 27, 2024

It is versatile enough for deployment in cloud-based infrastructures, on-premise data centers, or local setups, delivering a dependable and adaptable messaging framework. This reliability is crucial for maintaining data integrity and consistency across the system. Take Softonic’s platform as an example.

Ecommerce 130

Ecommerce IoT Games Scalability 130

VoltDB

MAY 30, 2024

Finding the right data platform BEFORE you get mired in an emergency iis key. But choosing the best possible data platform to embed in your solution isn’t easy. Here are the questions we think OEMs should ask when selecting a data platform for their applications. No tech investment can save them. Consider the cloud.

Latency 52

Latency Cloud Database Tuning 52

Dynatrace

NOVEMBER 9, 2023

Nutanix overview dashboard The extension automatically gathers real-time performance data from your Nutanix clusters to monitor resource usage, cluster health, and more, all in one place. Disk metrics Monitor the performance of disks to ensure efficient data storage and retrieval. (Select Hub from the dock in the Dynatrace web UI.

Virtualization 206

Virtualization Storage Metrics Monitoring 206

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 356

Traffic Latency Cache Metrics 356

Dynatrace

APRIL 7, 2023

Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes. Customers can use response streaming to achieve the following: Improve Time to First Byte (TTFB) performance for latency-sensitive applications. Return larger payload sizes. How does Dynatrace help?

Lambda 228

Lambda AWS Serverless Latency 228

Dynatrace

DECEMBER 15, 2022

Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. Why is IT operations important?

Artificial Intelligence 216

Artificial Intelligence DevOps Hardware Virtualization 216

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

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 234

Processing Media Latency Innovation 234

Smashing Magazine

SEPTEMBER 28, 2022

Five Data-Loading Patterns To Improve Frontend Performance. Five Data-Loading Patterns To Improve Frontend Performance. Data loading patterns are an essential part of your application as they will determine which parts of your application are directly usable by visitors. But isn’t waiting for the data the point?

Cache 128

Cache Performance Servers Architecture 128

The Netflix TechBlog

DECEMBER 2, 2019

Suppose the encoding team develops more efficient encodes that improve video quality for members with the lowest quality (those streaming on low bandwidth networks). To make this happen, we developed an effective data compression technique by cleverly bucketing our data. device types), and all metrics.

Metrics 145

Metrics Strategy Testing Efficiency 145

The Netflix TechBlog

DECEMBER 2, 2019

Suppose the encoding team develops more efficient encodes that improve video quality for members with the lowest quality (those streaming on low bandwidth networks). To make this happen, we developed an effective data compression technique by cleverly bucketing our data. device types), and all metrics.

Metrics 142

Metrics Strategy Testing Efficiency 142

Percona

MARCH 29, 2023

Compression in any database is necessary as it has many advantages, like storage reduction, data transmission time, etc. Storage reduction alone results in significant cost savings, and we can save more data in the same space. In this blog, we will discuss both data and network-level compression offered in MongoDB.

Storage 113

Storage Network Open Source Latency 113