Scalegrid

JULY 17, 2020

JSONB storage has some drawbacks vs. traditional columns: PostreSQL does not store column statistics for JSONB columns. JSONB storage results in a larger storage footprint. JSONB storage does not deduplicate the key names in the JSON. If that doesn’t work, the data is moved to out-of-line storage.

Storage 321

Storage Database Efficiency Availability 321

DZone

OCTOBER 11, 2022

A handy list of RSS readers with feature comparisons ( Hacker News). Email Reveals Google App Engine Search API About Ready For Preview Release, Charges Planned For Storage, Operations ( TechCrunch). SAP to acquire Hybris to jumpstart its presence in e-commerce ( VentureBeat). History of Lisp ( Hacker News).

Java 244

Java Best Practices Google Analytics 244

Scalegrid

APRIL 28, 2020

Since database hosting is more dependent on memory (RAM) than storage, we are going to compare various instance sizes ranging from just 1GB of RAM up to 64GB of RAM so you can see how costs vary across different application workloads. Here are the configurations for this comparison: Plan. EC2 instances. VM instances. DigitalOcean.

Azure 344

Azure AWS Database Latency 344

Scalegrid

JUNE 22, 2020

ScaleGrid provides 30% more storage on average vs. DigitalOcean for MySQL at the same affordable price. We are going to use a common, popular plan size using the below configurations for this performance benchmark: Comparison Overview. Compare Latency. Compare Pricing. MySQL DigitalOcean Performance Benchmark. DigitalOcean.

Database 217

Database Benchmarking Latency Performance 217

The Netflix TechBlog

AUGUST 28, 2020

Bitrate versus quality comparison For a sample of titles from the 4K collection, the following plots show the rate-quality comparison of the fixed-bitrate ladder and the optimized ladder. The optimized ladder entails a smaller storage footprint compared to the fixed-bitrate ladder.

Network 336

Network Storage Innovation Mobile 336

The Netflix TechBlog

FEBRUARY 13, 2023

Media Feature Storage: Amber Storage Media feature computation tends to be expensive and time-consuming. This feature store is equipped with a data replication system that enables copying data to different storage solutions depending on the required access patterns.

Media 297

Media Storage Infrastructure Systems 297

The Netflix TechBlog

SEPTEMBER 24, 2021

From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step. Since not all projects are terabytes projects, allocating the largest cloud storage to all packager instances is not an efficient use of cloud resources.

Cloud 242

Cloud Media Storage Cache 242

Dynatrace

NOVEMBER 28, 2023

During testing with limited generated traffic, Davis AI predictive analysis offered valuable insights into how Elastic Book Storage (EBS) might perform and how the rate of Input/Output Operations Per Second (IOPs) might change under heavier traffic load. To illustrate this concept, consider the scenario below.

Traffic 279

Traffic Best Practices Strategy Engineering 279

Scalegrid

JULY 8, 2019

You’ll learn more about the best instance types and disks to use below, and you can check out this MySQL Provider Comparison to see the advantages and limitations of the top four managed MySQL solutions, ScaleGrid, Compose, Azure Database, and Amazon RDS. High Availability Deployment.

Azure 219

Azure Cloud Virtualization Database 219

Dynatrace

JANUARY 16, 2023

In comparison, on-premises clusters have more and larger nodes: on average, 9 nodes with 32 to 64 GB of memory. Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments. Kubernetes infrastructure models differ between cloud and on-premises.

Open Source 358

Open Source Java Operating System Programming 358

The Netflix TechBlog

JUNE 13, 2023

We can start by dialing traffic in a single data center to allow for an easier side-by-side comparison of key metrics across data centers, thereby making it easier to observe any deviations in the metrics. One can perform this comparison live on the request path or offline based on the latency requirements of the particular use case.

Traffic 285

Traffic Metrics Systems Strategy 285

The Netflix TechBlog

NOVEMBER 29, 2023

Bitrate versus quality comparison HDR-VMAF is designed to be format-agnostic — it measures the perceptual quality of HDR video signal regardless of its container format, for example, Dolby Vision or HDR10. The graphic below (Fig. 1) depicts the migration of traffic from fixed bitrates to DO encodes.

Open Source 260

Open Source Software Engineering Internet Internet 260

Dynatrace

APRIL 8, 2022

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. Comparison of Kubernetes log ingestion via Fluentd and Dynatrace OneAgent. Processing plugins parse (normalize), filter, enrich (tagging), format, and buffer log streams. Fluentd can run as a DaemonSet in a Kubernetes cluster.

Metrics 245

Metrics Analytics Software Architecture Open Source 245

Dynatrace

MAY 9, 2019

Consequently, each new version of OneAgent for Windows consumed double storage space: one for the *.exe This storage space was consumed not only on our own infrastructure but also on each of the Dynatrace cluster nodes in the case of Managed deployments. ” Briefly, before the change, the *.exe msi artifacts were built separately.

Storage 153

Storage Tuning Traffic Architecture 153

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

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice.

Cache 130

Cache Storage Architecture Scalability 130

Dynatrace

JANUARY 15, 2020

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. Comparison of these metrics between VDAs characterizes load balancing efficiency.

Latency 52

Latency Performance Virtualization Infrastructure 52

Scalegrid

JULY 13, 2020

Comparison Overview. pg_repack – reorganizes tables online to reclaim storage. The extreme complexity also increases the risk of error which can lead to critical mistakes that cost more time and money to resolve, which is why it is a common best practice in Oracle to limit changes to only a couple times each year. PostgreSQL.

Open Source 244

Open Source C++ Tuning Database 244

Dynatrace

JUNE 8, 2021

Since we’re ambitious, we’re going to lower the threshold to 1 second, in comparison to our initial limit of 3 seconds: By following these steps we were able to convert a multi-dimension analysis view to a calculated metric stored in multi-dimensional metrics storage, which provides us with 400 days of history and several other advantages: (..)

Metrics 242

Metrics Tuning Programming Systems 242

Dynatrace

NOVEMBER 4, 2022

When issues arise, teams can’t depend on these tools for quick resolutions, because data comparisons are difficult and contribute to delays. Overall, 53% of IT leaders say t he number of tools needed to monitor the end-to-end technology stack makes it difficult to operate efficiently.

Government 147

Government Analytics Cloud Storage 147

Highly Scalable

SEPTEMBER 18, 2012

In comparison with pure anti-entropy, this greatly improves consistency with a relatively small performance penalty. The Push-Pull approach greatly improves efficiency in comparison with the original push or pulls techniques, so it is typically used in practice. Static ID is used as a comparison metric, a node with a greater ID wins.

Database 213

Database Latency C++ Scalability 213

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. per month.

Benchmarking 130

Benchmarking AWS Tuning Metrics 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

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

Percona

DECEMBER 28, 2023

Its functionality has been significantly improved in comparison to Audit Log and currently mirrors the functionality of the MySQL Enterprise Audit plugin. Compress the audit log files to reduce the storage space occupied with log files. We’re happy to introduce Audit Log Filter — our newly upgraded audit plugin.

Open Source 122

Open Source Database Servers Storage 122

Highly Scalable

MARCH 1, 2012

In this article I provide a short comparison of NoSQL system families from the data modeling point of view and digest several common modeling techniques. And this was where a new evolution of data models began: Key-Value storage is a very simplistic, but very powerful model.

Database 279

Database Ecommerce Efficiency Engineering 279

Brendan Gregg

NOVEMBER 4, 2020

Right now there are many BPF (eBPF) startups building networking, security, and performance products (and more in stealth), yet requiring customers to install LLVM, Clang, and kernel headers – which can consume over 100 Mbytes of storage – to use BPF is an adoption drag. It adds about 1.5 Ubuntu 20.10

C++ 143

C++ Programming Storage Code 143

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. Moorthy and Zhi Li Introduction Measuring video quality at scale is an essential component of the Netflix streaming pipeline.

Media 178

Media Innovation Metrics Latency 178

Percona

MARCH 17, 2023

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. 25 Bytes, or you should plan storage roughly between 500 GB – one TB for a default 30 day retention period. If we talk about overall disk usage for the instance monitoring 1,000 Database services, the average disk usage per datapoint comes out to be roughly.25

Monitoring 117

Monitoring Scalability Database Cache 117

All Things Distributed

AUGUST 16, 2012

An apples to apples comparison of the costs associated with running various usage patterns on-premises and with AWS requires more than a simple comparison of hardware expense versus always-on utility pricing for compute and storage. Total Cost of Ownership.

AWS 96

AWS Hardware Traffic Best Practices 96

Dynatrace

APRIL 8, 2022

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. Comparison of Kubernetes log ingestion via Fluentd and Dynatrace OneAgent. Processing plugins parse (normalize), filter, enrich (tagging), format, and buffer log streams. Fluentd can run as a DaemonSet in a Kubernetes cluster.

Metrics 130

Metrics Analytics Software Architecture Open Source 130

Percona

JUNE 30, 2023

Below you will find a short FAQ about the new operator and a comparison to version 1.x. Percona’s commitment to open source ensures that the Percona Operator for PostgreSQL version 2 remains a flexible and customizable solution that can be tailored to meet the unique needs of any organization. In version 1.x,

Availability 107

Availability Open Source Azure Hardware 107

Percona

JANUARY 3, 2023

Name comparisons are case-sensitive. Table names are stored in lowercase on disk and name comparisons are not case-sensitive. MySQL converts all table names to lowercase on storage and lookup. Name comparisons are not case-sensitive. Lower_case_table_names values and their behavior: 0.

Database 109

Database Servers Storage Systems 109

Percona

MARCH 30, 2023

Further, open source databases can be modified in infinite ways, enabling institutions to meet their specific needs for data storage, retrieval, and processing. Non-relational databases: Instead of tables, non-relational (NoSQL) databases use document-based data storage, column-oriented storage, and graph databases.

Open Source 107

Open Source Database Storage Scalability 107

Scalegrid

JANUARY 8, 2024

What is the primary benefit of multi-cloud solutions in comparison to hybrid cloud solutions? Technology Enabling Multi-Cloud and Hybrid Cloud The functioning of various hybrid cloud deployment models is supported by a range of technologies. This provides the ability to easily adjust and meet evolving business requirements. <p>The

Cloud 147

Cloud Strategy Scalability Artificial Intelligence 147

O'Reilly

SEPTEMBER 19, 2023

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” ” (It will be easier to fit in the overhead storage.)

Hardware 135

Hardware Storage Big Data Blockchain 135

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. Comparison of these metrics between VDAs characterizes load balancing efficiency.

Latency 164

Latency Performance Virtualization Infrastructure 164