Scalegrid

JANUARY 25, 2024

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Evaluating factors like hit rate, which assesses cache efficiency level, or tracking key evictions from the cache are also essential elements during the Redis monitoring process.

Metrics 130

Metrics Monitoring Latency Cache 130

Scalegrid

APRIL 16, 2020

This is why our BYOC pricing is less than our Dedicated Hosting pricing, as the costs listed for BYOC are only what you pay for ScaleGrid and don’t include your hardware costs. This becomes really important for cache solutions like Redis™. Where to host your cloud database? Security Groups.

Cloud 242

Cloud Azure AWS Database 242

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. However, simply deploying a monitoring tool is not enough; you need to know which Key Performance Indicators (KPIs) to monitor to gain insights into your MySQL server’s health and performance.

Performance 136

Performance Monitoring Traffic Database 136

SQL Performance

DECEMBER 17, 2019

One initial, easy step to moving your SQL Server on-premises workloads to the cloud is using Azure VMs to run your SQL Server workloads in an infrastructure as a service (IaaS) scenario. You will still have to maintain your operating system, SQL Server and databases just like you would in an on-premises scenario.

Azure 72

Azure Virtualization Servers Storage 72

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database. This speeds up accesses and updates while offloading back-end database servers.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database. This speeds up accesses and updates while offloading back-end database servers.

Cache 52

Cache Storage Servers Database 52

Percona

MAY 2, 2023

Questions Q: I have a MySQL server with 500 GB of RAM; my data set is 100 GB. ChatGPT: The InnoDB buffer pool is used by MySQL to cache frequently accessed data in memory. Keep in mind that setting the buffer pool size too high may result in other processes on your server competing for memory, which can impact performance.

Social Media 145

Social Media Database Servers Cache 145

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. Load balancers can detect when a component is not responding and put traffic redirection in motion.

Availability 132

Availability Database Open Source Hardware 132

Scalegrid

JANUARY 21, 2025

To monitor Redis instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. Keeping a tab on memory usage provides additional insight into the health of operations running through Redis servers.

Strategy 130

Strategy Monitoring Latency DevOps 130

Percona

JANUARY 3, 2024

The daemon accepts incoming traffic from MySQL clients and forwards it to backend MySQL servers. These include runtime parameters, server grouping, and traffic-related settings. Below are backup methods to perform a backup restore of the ProxySQL server. The proxy is designed to run continuously without needing to be restarted.

Traffic 120

Traffic Hardware Cache Servers 120

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. These storage nodes collaborate to manage and disseminate the data across numerous servers spanning multiple data centers.

Storage 130

Storage Systems Big Data Azure 130

Brendan Gregg

MARCH 16, 2024

Only in extreme circumstances does the cost (in processor time and I-cache footprint) translate to a tangible benefit - circumstances which usually resort to hand-coded assembly anyway. It shouldn't be 10%, unless it's cache effects. Back-end servers. The actual overhead depends on your workload.

Java 137

Java Cache Google Hardware 137

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., The paper examines the implications of microservices at the hardware, OS and networking stack, cluster management, and application framework levels, as well as the impact of tail latency. ASPLOS’19.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Scalegrid

JUNE 14, 2024

MySQL Server Credentials To establish a connection between Power BI and MySQL, you’ll need the necessary server credentials, such as server address, port number, username, and password. Entering MySQL Credentials Enter the MySQL server address, port number, user name, and password in the appropriate fields.

Database 130

Database Azure Efficiency Servers 130

Scalegrid

DECEMBER 21, 2023

To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. Keeping a tab on memory usage provides additional insight into the health of operations running through Redis® servers.

Strategy 130

Strategy Monitoring Latency DevOps 130

ACM Sigarch

OCTOBER 12, 2020

There are already standard benchmark suites for JavaScript performance in the browser, and we can include applications written in node.js (server-side JavaScript), Python web servers, and more. Are caches large enough for this code? There’s some work on hardware proposals for these systems, like Zhu et al.,

C++ 109

C++ Benchmarking Hardware Architecture 109

SQL Performance

JUNE 21, 2019

I've been teaching and writing about common SQL Server mistakes for many years. This article will expand on my previous article and point out how these apply to SQL Server , Azure SQL Database , and Azure SQL Managed Instance. SQL Server Agent alerts. This situation applies to on-premises SQL Server and IaaS. Statistics.

Servers 49

Servers Azure Hardware Database 49

Percona

AUGUST 8, 2023

Unfortunately, this topic is more of an art than a science, given that there is really no foolproof algorithm or approach that can tell you exactly where you might hit a bottleneck with server performance. Hardware considerations The first thing we have to consider here is the resources that the underlying host provides to the database.

Traffic 98

Traffic Cache Monitoring Database 98

SQL Server According to Bob

JANUARY 11, 2020

Microsoft SQL Server I/O Basics Author: ​​ Bob Dorr, Microsoft SQL Server Escalation Published: ​​ December, 2004 SUMMARY: ​​ Learn the I/O requirements for Microsoft SQL Server database file operations. This will help you increase system performance and avoid I/O environment errors.

Servers 40

Servers Cache Media Hardware 40

SQL Performance

JULY 16, 2019

A close monitoring of the hardware enthusiast community, including many of the most respected hardware analysts and reviewers paints an even more dire picture about Intel in the server processor space. Despite all of this, Intel is not going to lose their entire server processor business any time soon.

Servers 46

Servers Hardware Architecture Retail 46

All Things Distributed

JANUARY 18, 2012

Behind the scenes, Amazon DynamoDB automatically spreads the data and traffic for a table over a sufficient number of servers to meet the request capacity specified by the customer. Developers can store and retrieve any amount of data and DynamoDB will spread the data across more servers as the amount of data stored in your table grows.

Scalability 162

Scalability Database Ecommerce Latency 162

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory.

Performance 103

Performance Latency Cache Google 103

The Morning Paper

OCTOBER 4, 2020

In the radio portion of the network, 5G buffer sizes are 5x 4G, but within the wired portion of the network only about 2.5x (this is with a 1000 Mbps provisioned cloud server). When it comes to latency the authors measured RTTs for four 5G base stations spread across the city, and 20 other Internet servers nationwide.

Energy 130

Energy Latency Performance Network 130

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. Hardware Past As Performance Prologue. Regardless, the overall story for hardware progress remains grim, particularly when we recall how long device replacement cycles are: Tap for a larger version.

Performance 127

Performance Network Mobile Metrics 127

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. Reduced Resource Usage Optimizing resource-intensive queries and configurations can lead to a reduced burden on your server. Indexing is another powerful technique for query optimization.

Tuning 52

Tuning Database Performance Hardware 52

The Morning Paper

FEBRUARY 20, 2020

An extended version of SQL Server, with an integrated ONNX Runtime engine executes the query. " This is very important performance-wise: unlike most traditional ML frameworks, NN engines support out-of-the-box hardware acceleration through GPUs/FPGAs/NPUs as well as code generation." Static analysis and the IR. The last word.

Processing 72

Processing Hardware Database Servers 72

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. These factors meant that often when looking for database performance information, the results for a particular combination of software and hardware were not available. Cached vs Scaled Workloads.

Benchmarking 63

Benchmarking Open Source C++ Cache 63

SQL Performance

APRIL 27, 2020

Many of the newer features we have in SQL Server were initially launched in Azure SQL Database, including (but not limited to) Always Encrypted, Dynamic Data Masking, Row Level Security, and Query Store. Gen 5 is the primary hardware option now for most regions since Gen 4 is aging out. DTU Pricing Tier. GB per vCore.

Azure 55

Azure Database Serverless Hardware 55

John McCalpin

FEBRUARY 17, 2025

The Multicore Era Over the past ~15 years, server processors from Intel and AMD have evolved from the early quad-core processors to the current monsters with over 50 cores per socket. GB/s peak DRAM bandwidth, requiring 6 concurrent 64-byte cache line accesses to be pending at all times to maintain full bandwidth.

Latency 40

Latency Hardware Cache Systems 40

KeyCDN

JANUARY 23, 2020

A wide range of users with different operating systems, browsers, hardware configurations and other variables provides a wide sample size that helps developers discover as many issues as possible. This helps developers decide when to increase server disk space and power or whether or not using a virtual cloud server is optimal.

Strategy 72

Strategy Metrics Monitoring Servers 72

ACM Sigarch

MAY 31, 2023

Memory disaggregation separates memory pools from traditional server boxes, enabling more flexible resource allocation and potentially reducing costs. There are three common mechanisms to access remote memory: modifying applications, modifying virtual memory, and hardware-level cache coherence support. Using emulation (e.g.

Latency 52

Latency Hardware Cache Architecture 52

SQL Performance

MAY 22, 2019

It’s one of the things we look at during a health audit, and Kimberly has a great query from her Plan cache and optimizing for adhoc workloads post that’s part of our toolkit. About 1GB of the plan cache is for prepared and procedure plans, and they only take up about 300MB worth of space. DBCC FREEPROCCACHE ; GO. EXEC dbo. [

Cache 54

Cache Performance Hardware Servers 54

Highly Scalable

SEPTEMBER 18, 2012

A database should accommodate itself to different data distributions, cluster topologies and hardware configurations. Permanent redirection means that the client is able to cache the mapping between the shard and the node. This redirect is a one-time and should not be cached. Data Placement.

Database 213

Database Latency C++ Scalability 213

Percona

JANUARY 17, 2019

On multi-core machines – which is the majority of the hardware nowadays – and in the cloud, we have multiple cores available for use. I will compare AWS Aurora with MySQL (Percona Server) 5.6 84.1 | | version_comment | Percona Server (GPL), Release 84.1, With faster disks (i.e. MySQL on ec2.

Cache 72

Cache C++ AWS Airlines 72

Smashing Magazine

JANUARY 15, 2019

So, apart from powering servers with renewable energy, what else can web developers do about climate change? This includes the work done by the server, the client and the intermediary communications networks that transmit data between the two. Server-Side Performance. You Can’t Manage What You Can’t Measure”.

Website Performance 78

Website Performance Website Energy Performance 78

SQL Server According to Bob

AUGUST 23, 2021

HOW IT WORKS: SQL Server Scheduler Affinity SQL Server uses 3 types of affinity to control where the SQL Server worker threads execute. Node Types SQL Server makes a specific distinction between scheduling and memory nodes. This allows you to scale up or down the SQL Server schedulers without restarting the SQL Server.

Servers 40

Servers Azure Operating System Database 40

Smashing Magazine

JUNE 18, 2020

Those aren’t accessible by JS and are sent only to your server. The issue with that is that they’re always sent to your server, even if one of your users clicks on a GET request URL on someone else’s website and that GET request has side effects you or your user won’t like. Does that mean your JWT has to be out in the open?

Storage 103

Storage Mobile Website Java 103