Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. Queued messages are typically small and specific.

Monitoring 246

Monitoring Programming Serverless Speed 246

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. Queued messages are typically small and specific.

Monitoring 246

Monitoring Programming Serverless Speed 246

Percona

JANUARY 4, 2024

Managing storage and performance efficiently in your MySQL database is crucial, and general tablespaces offer flexibility in achieving this. In contrast to the single system tablespace that holds system tables by default, general tablespaces are user-defined storage containers for multiple InnoDB tables.

Storage 114

Storage Engineering Database Open Source 114

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. Setting oom_score_adj to -800.

Performance 144

Performance Hardware Tuning Storage 144

Brendan Gregg

NOVEMBER 29, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%

Virtualization 110

Virtualization AWS Hardware Storage 110

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. Although cold storage and rehydration can mitigate high costs, it is inefficient and creates blind spots. Unlike tools that rely on correlation and aggregation, the Dynatrace AIOps platform approach enables teams to speed up and automate incident responses.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

Dynatrace

AUGUST 5, 2019

Lift & Shift is where you basically just move physical or virtual hosts to the cloud – essentially you just run your host on somebody else’s hardware. Optimize Query Performance and Data Storage Cost. Extract less critical data into a cheaper database storage option. Optimize the performance of key queries.

Cloud 38

Cloud Traffic Database Network 38

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.

Performance 121

Performance Latency Hardware Storage 121

Scalegrid

FEBRUARY 1, 2024

However, data loss is always possible due to hardware malfunction, software defects, or other unforeseen circumstances, just like with any computer system. Having MySQL backups for your database can speed up and simplify the recovery process. Therefore, it’s not the ideal choice if there are time or storage limitations.

Best Practices 130

Best Practices Storage Strategy Database 130

Scalegrid

JANUARY 5, 2024

The DBMS is key to maintaining these aspects by offering a storage system that allows users to perform operations such as data insertion, deletion, and selection, thereby promoting enhanced data integration across diverse applications and platforms.

Efficiency 147

Efficiency Storage Database Scalability 147

KeyCDN

FEBRUARY 22, 2023

The goal of WebAssembly is to execute at native speeds by taking advantage of common hardware features available on a variety of platforms. With cloud-based infrastructure, organizations can easily scale their web applications to handle increased traffic or demand without the need for expensive hardware upgrades.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Percona

JUNE 22, 2023

Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution. They include backup success rate, backup duration, recovery time objective (RTO), recovery point objective (RPO), and backup storage utilization.

Performance 136

Performance Monitoring Traffic Database 136

Scalegrid

JANUARY 21, 2025

Such as: RedisInsight Offers an easy way for users to oversee their Redis information with visual cues; Prometheus Providing long-term metrics storage solutions when tracking performance trends involving your instances; Grafana – Its user-friendly interface allows advanced capabilities in observing each instance.

Strategy 130

Strategy Monitoring Latency DevOps 130

Scalegrid

DECEMBER 21, 2023

Such as: RedisInsight – Offers an easy way for users to oversee their Redis® information with visual cues; Prometheus – Providing long-term metrics storage solutions when tracking performance trends involving your instances; Grafana – Its user-friendly interface allows advanced capabilities in observing each instance.

Strategy 130

Strategy Monitoring Latency DevOps 130

All Things Distributed

JULY 13, 2010

During my academic career, I spent many years working on HPC technologies such as user-level networking interfaces, large scale high-speed interconnects, HPC software stacks, etc. There is no more need for hardware tinkering to keep the clusters up and running (I spent many nights doing this; there is no glory in it). until today.

Cloud 98

Cloud AWS Automotive Latency 98

All Things Distributed

OCTOBER 7, 2015

In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift. QuickSight is a cloud-native BI service built from the ground up to address the big data challenges around speed, complexity, and cost.

Cloud 114

Cloud Big Data AWS Analytics 114

SQL Performance

DECEMBER 17, 2019

This removes the burden of purchasing and maintaining your hardware, storage and networking infrastructure, while still giving you a very familiar experience with Windows and SQL Server itself. There are also large differences in storage capacity and throughput between these extremes.

Azure 72

Azure Virtualization Servers Storage 72

ACM Sigarch

NOVEMBER 1, 2019

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. Intel Quick Assist Technology (QAT) was the focus of the QZFS paper which used this new hardware device to speed up file system compression.

Architecture 12

Architecture Hardware Cache Storage 12

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. The 5G network is operating at 3.5GHz).

Energy 130

Energy Latency Performance Network 130

Scalegrid

JUNE 14, 2024

By employing techniques like indexing, query optimization, denormalization, and proper hardware configuration in MySQL, data retrieval operations can be significantly improved. Optimizing Data Models Optimizing data models in MySQL and Power BI is crucial for enhancing database performance and achieving faster data analysis and reporting.

Database 130

Database Azure Efficiency Servers 130

The Morning Paper

JANUARY 30, 2020

These use their regression models to estimate processing time (which will depend on the hardware available, current load, etc.). For these results, upload and download speed for mobile client to edge was set at 10 Mbs and 36 Mbps respectively, and for edge-to-edge and edge-to-cloud 42 Mbps and 118 Mbps respectively.

Mobile 104

Mobile Cloud Latency Games 104

All Things Distributed

MARCH 11, 2015

In the past analytics within an organization was the pinnacle of old style IT: a centralized data warehouse running on specialized hardware. A business unit can now go out and create their own data warehouse in the cloud of a size and speed that exactly matches what they need and are willing to pay for.

Analytics 109

Analytics Cloud Healthcare Retail 109

Percona

SEPTEMBER 1, 2023

Vertical scaling is also often discussed, which involves increasing the resources of a single server, which can have limitations in hardware capabilities and become costly as demands grow. Depending on the database size and on disk speed, a backup/restore process might take hours or even days!

Best Practices 98

Best Practices Traffic Database Servers 98

Brendan Gregg

FEBRUARY 28, 2023

## References I've reproduced the references from my SREcon22 keynote below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 103

Performance Latency Cache Virtualization 103

Tim Kadlec

JANUARY 9, 2019

Mbps download speed Jake Archibald mentioned his relative getting or the 0.8 Mbps download speed my in-laws get at their house. Hardware gets better, sure. Ballooning bandwidth and storage have fostered complacency that we can do without. My home internet connection gives me somewhere around 3 Mbps down. It makes sense.

Performance 111

Performance Energy Internet Internet 111

All Things Distributed

DECEMBER 12, 2018

If the solution works as envisioned, Telenor Connexion can easily deploy it to production and scale as needed without an investment in hardware. Across the Nordics, we work with Atomico, Creandum, EQT Ventures Nordic Makers, Northzone, and SUP46, in order to support the rapid growth of their portfolio companies.

AWS 119

AWS Cloud Games Serverless 119

SQL Performance

APRIL 27, 2020

The basic tier provides up to 5 DTUs with standard storage. The standard tier supports from 10 up to 3000 DTUs with standard storage and the premium tier supports 125 up to 4000 DTUs with premium storage, which is orders of magnitude faster than standard storage. New Hardware Configuration for Provisioned Compute Tier.

Azure 55

Azure Database Serverless Hardware 55

All Things Distributed

APRIL 5, 2012

However, the shining moment occurred just last month – during peak load there was a hardware failure on the Server powering a RDS Master Database – RDS automatically failed over to the alternate zone within minutes and our customers experience was fully functional shortly thereafter. the recoverability of data.

Innovation 112

Innovation AWS Education Network 112

Percona

DECEMBER 27, 2023

Consequently, they might miss out on the benefits of integrating security into the SDLC, such as enhanced efficiency, speed, and quality in software delivery. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic. You mentioned ‘More Simple Kubernetes’?

Cloud 113

Cloud Open Source Strategy Best Practices 113

Percona

NOVEMBER 3, 2023

PostgreSQL Cluster One coordinator node citus-coord-01 Three worker nodes citus1 citus2 citus3 Hardware AWS Instance Ubuntu Server 20.04, SSD volume type 64-bit (x86) c5.xlarge In order to speed up the benchmark indexes must be added. The “wal_level” is set at logical.

Database 114

Database Benchmarking Latency C++ 114

Scalegrid

JANUARY 25, 2024

Effective monitoring of key performance indicators plays a crucial role in maintaining this optimal speed of operation. Throughput Ensuring optimal performance and efficient handling of many queries is crucial for Redis, as it offers exceptional speed and minimal delay. It could also indicate a potential issue, say, an expensive query.

Metrics 130

Metrics Monitoring Latency Cache 130

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.

Performance 52

Performance Latency Hardware Storage 52

Abhishek Tiwari

DECEMBER 27, 2017

More importantly, UDM utilizes a single storage backend with benefits of multiple storage systems which avoids moving data across systems hence data duplication, and data consistency issues. Delta implements the unified data management layer by extending the Amazon S3 object storage for ACID transactions and automatic data indexing.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

Percona

DECEMBER 14, 2022

The key goals of OLTP applications are availability, speed, concurrency, and recoverability. The CITUS columnar extension feature set includes: Highly compressed tables: Reduces storage requirements. Columnar storage. speeds up scans, . These applications are used concurrently by hundreds of users. drill-down. Getting it.

Database 93

Database Storage Analytics Processing 93

The Morning Paper

FEBRUARY 20, 2020

… based on interactions with enterprise customers, we expect that storage and inference of ML models will be subject to the same scrutiny and performance requirements of sensitive/mission-critical operational data. Raven is the system that Microsoft built to explore this question, and answer it with a resounding yes. The last word.

Processing 72

Processing Hardware Database Servers 72

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52

Tuning Database Performance Hardware 52

Brendan Gregg

NOVEMBER 28, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%

Virtualization 40

Virtualization AWS Hardware Storage 40