Scalegrid

MAY 11, 2024

MongoDB offers several storage engines that cater to various use cases. The default storage engine in earlier versions was MMAPv1, which utilized memory-mapped files and document-level locking. The newer, pluggable storage engine, WiredTiger, addresses this by using prefix compression, collection-level locking, and row-based storage.

Storage 130

Storage Engineering Cache Database 130

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. Chaos engineering is a practice that extends beyond traditional failure testing by identifying unpredictable issues.

Engineering 262

Engineering Systems Latency Metrics 262

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

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. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

Infrastructure 238

Infrastructure Transportation Storage Open Source 238

VoltDB

DECEMBER 11, 2024

By bringing computation closer to the data source, edge-based deployments reduce latency, enhance real-time capabilities, and optimize network bandwidth. Data Overload and Storage Limitations As IoT and especially industrial IoT -based devices proliferate, the volume of data generated at the edge has skyrocketed.

IoT 52

IoT Energy Logistics Latency 52

The Netflix TechBlog

NOVEMBER 3, 2022

When a new leader is elected it loads all data from external storage. In that scenario, the system would need to deal with the data propagation latency directly, for example, by use of timeouts or client-originated update tracking mechanisms. Active data includes jobs and tasks that are currently running.

Cache 233

Cache Latency Traffic Systems 233

Dynatrace

JUNE 1, 2023

Note : you might hear the term latency used instead of response time. Both latency and response time are critical to ensure reliability. Latency typically refers to the time it takes for a single request to travel from its source to its destination. Latency primarily focuses on the time spent in transit.

Website 245

Website Latency Traffic DevOps 245

Dynatrace

OCTOBER 3, 2024

Without distributed tracing, pinpointing the cause of increased latency could take hours or even days. There is no need to think about schema and indexes, re-hydration, or hot/cold storage. Interact with data intuitively and easily and benefit from immediate, AI-supported insights. The same is true when it comes to log ingestion.

Performance 290

Performance Architecture Innovation Latency 290

The Netflix TechBlog

JUNE 13, 2023

Our previous blog post presented replay traffic testing — a crucial instrument in our toolkit that allows us to implement these transformations with precision and reliability. Compared to replay testing, canaries allow us to extend the validation scope beyond the service level.

Traffic 285

Traffic Metrics Systems Strategy 285

Smashing Magazine

JANUARY 7, 2025

In this article, well discuss six ways to design websites for high-traffic events like product drops and sales: Compress and optimize images , Choose a scalable web host , Use a CDN , Leverage caching , Stress test websites , Refine the backend. After that, youll find three different tests to carry out. Lets jump right in!

Traffic 86

Traffic Website Design Cache 86

Dynatrace

SEPTEMBER 13, 2023

The Site Reliability Guardian helps automate release validation based on SLOs and important signals that define the expected behavior of your applications in terms of availability, performance errors, throughput, latency, etc. If so, test against the response time objective under the same Site Reliability Guardian.

AWS 305

AWS Efficiency Azure Cloud 305

The Netflix TechBlog

APRIL 26, 2022

The first version of our logger library optimized for storage by deduplicating facts and optimized for network i/o using different compression methods for each fact. Since we were optimizing at the logging level for storage and performance, we had less data and metadata to play with to optimize the query performance.

Storage 195

Storage Design Scalability Latency 195

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. By default, MongoDB provides a snappy block compression method for storage and network communication.

Storage 130

Storage Network Open Source Latency 130

Scalegrid

DECEMBER 16, 2019

They offer SSD-based cloud hosting with straightforward pricing as well starting at just $5/month , which makes it ideal (and affordable) for developers to build, test and deploy their new applications seamlessly in the cloud. What’s most impressive is that you’re not compromising performance for cost. Managed MongoDB Hosting on DigitalOcean.

Azure 187

Azure AWS Database Latency 187

Dynatrace

APRIL 8, 2024

Synergies from the consolidation of multiple essential IT tools into a unified platform: observability, application security, log management, data storage, and data analytics all in one. Automate stress-testing and regulatory reporting requirements. Maximize performance for high-frequency and low-latency trading strategies.

Analytics 246

Analytics Infrastructure Efficiency Technology 246

Dynatrace

JUNE 1, 2023

Note : you might hear the term latency used instead of response time. Both latency and response time are critical to ensure reliability. Latency typically refers to the time it takes for a single request to travel from its source to its destination. Latency primarily focuses on the time spent in transit.

Traffic 173

Traffic Website Latency DevOps 173

Dynatrace

SEPTEMBER 25, 2019

Therefore, it requires multidimensional and multidisciplinary monitoring: Infrastructure health —automatically monitor the compute, storage, and network resources available to the Citrix system to ensure a stable platform. Citrix platform performance—optimize your Citrix landscape with insights into user load and screen latency per server.

Latency 164

Latency Performance Virtualization Infrastructure 164

The Netflix TechBlog

MAY 14, 2021

We are expected to process 1,000 watermarks for a single distribution in a minute, with non-linear latency growth as the number of watermarks increases. The watermarking functionality, at the start, was a simple offering with various Google Drive integrations for storage and links.

Traffic 166

Traffic Java Latency Google 166

Percona

MARCH 13, 2023

There is a section in our Documentation ( Introduction to Serverless PostgreSQL ) and a short overview of the primary components: Page Server The storage server with the primary goal of storing all data pages and WAL records Safe Keeper A component to store WAL records in memory (to reduce latency). 5454 --listen-http=0.0.0.0:7676

Serverless 144

Serverless C++ Storage Servers 144

Dynatrace

APRIL 26, 2022

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). One use case for STM is to model the behavior of a customer in the form of a flow of transactions along the buyer’s journey.

Monitoring 246

Monitoring Social Media IoT Metrics 246

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. Throughput and latency. Let’s jump in!

Energy 130

Energy Latency Performance Network 130

Percona

DECEMBER 11, 2023

A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables. DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads.

AWS 117

AWS Benchmarking Performance Traffic 117

The Netflix TechBlog

NOVEMBER 2, 2021

Perceptual quality measurements are used to drive video encoding optimizations , perform video codec comparisons , carry out A/B testing and optimize streaming QoE decisions to mention a few. This enables us to use our scale to increase throughput and reduce latencies. VQS is called using the measureQuality endpoint.

Media 178

Media Innovation Metrics Latency 178

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. It can achieve impressive performance, handling up to 50 million operations per second.

Metrics 130

Metrics Monitoring Latency Cache 130

Testsigma

JULY 23, 2020

This is a standalone software program which doesn’t depend on any internet connectivity for its working and its performance is not impacted because of any network related latencies. Any network-related latencies result in performance hindrances in these types of applications.

Testing 63

Testing Internet Internet Latency 63

Percona

MARCH 23, 2023

Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. Cloud Different cloud providers offer a range of instance types and sizes, each with varying amounts of CPU, memory, and storage. Setting oom_score_adj to -800. Try Percona Distribution for MySQL today!

Performance 144

Performance Hardware Tuning Storage 144

Dynatrace

JANUARY 31, 2024

million” – Gartner Data observability is a practice that helps organizations understand the full lifecycle of data, from ingestion to storage and usage, to ensure data health and reliability. . “Every year, poor data quality costs organizations an average $12.9

DevOps 272

DevOps Analytics Airlines Metrics 272

The Morning Paper

FEBRUARY 6, 2020

On the Cloudburst design teams’ wish list: A running function’s ‘hot’ data should be kept physically nearby for low-latency access. The canononical cloud platform architecture decouples storage and compute services so that each can be scaled and operated independently, i.e., they are disaggregated.

Serverless 98

Serverless Lambda Cache Latency 98

Percona

JUNE 22, 2023

Indexing efficiency Monitoring indexing efficiency in MySQL involves analyzing query performance, using EXPLAIN statements, utilizing performance monitoring tools, reviewing error logs, performing regular index maintenance, and benchmarking/testing. This KPI is also directly related to Query Performance and helps improve it.

Performance 136

Performance Monitoring Traffic Database 136

Percona

NOVEMBER 3, 2023

xlarge 4vCPU 8GB-RAM Storage: EBS volume (root) 80GB gp2 (IOPS 240/3000) As well, high availability will be integrated, guaranteeing cluster viability in the case that one worker node goes down. Steps Provisioning The first step is to provision the four nodes with both PostgreSQL and Citus.

Database 114

Database Benchmarking Latency C++ 114

All Things Distributed

MARCH 11, 2016

This becomes an even more important lesson at scale: for example, as S3 processes trillions and trillions of storage transactions, anything that has even the slightest probability of error will become realistic. A good litmus test has been that if you need to SSH into a server or an instance, you still have more to automate.

AWS 127

AWS Hardware Retail Virtualization 127

The Morning Paper

JANUARY 30, 2020

Edge servers are the middle ground – more compute power than a mobile device, but with latency of just a few ms. The client MWW combines these estimates with an estimate of the input/output transmission time (latency) to find the worker with the minimum overall execution latency.

Mobile 104

Mobile Cloud Latency Games 104

Scalegrid

NOVEMBER 4, 2024

For a more detailed comparison of performance features between different versions, refer to: [link] Benchmarking Methodology Sysbench Overview Sysbench is a versatile, open-source benchmarking tool ideal for testing OLTP (Online Transaction Processing) database workloads. Storage I/O : Both ScaleGrid and RDS use GP3.

Benchmarking 130

Benchmarking AWS Tuning Metrics 130

The Morning Paper

OCTOBER 26, 2020

It’s limited by the laws of physics in terms of end-to-end latency. We saw earlier that there is end-user pressure to replace batch systems with much lower latency online systems. We are observing significant demand from users in terms of avoiding batch telemetry pipelines altogether. Emphasis mine ). Emphasis mine ).

Cloud 104

Cloud Big Data Latency Architecture 104

Percona

JANUARY 24, 2023

This will be clearly visible in PostgreSQL performance benchmarks as a “ Sawtooth wave ” pattern observed by Vadim in his tests: As we can see, the throughput suddenly drops after every checkpoint due to heavy WAL writing and gradually picks up until the next checkpoint. I couldn’t see any adverse effect on the TPS on quick tests.

Database 142

Database Benchmarking Open Source Latency 142

Percona

APRIL 7, 2023

Here’s how the same test performed when running Percona Distribution for PostgreSQL 14 on these same servers: Queries: reads Queries: writes Queries: other Queries: total Transactions Latency (95th) MySQL (A) 1584986 1645000 245322 3475308 122277 20137.61 The throughput didn’t double but increased by 57%.

Tuning 145

Tuning Cache Servers Benchmarking 145

The Morning Paper

AUGUST 29, 2019

As it is infeasible to test every OLAP system runnable on AWS, we chose widely-used systems that represented a variety of architectures and cost models. InS does now offer an NVMe variant too, and the authors perform limited testing on that as well. Key findings. Serverless o?erings

Architecture 76

Architecture Cloud Storage Serverless 76