Scalegrid

JANUARY 25, 2024

Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures. 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

Brendan Gregg

DECEMBER 31, 2017

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Our team looks after the BaseAMI, kernel tuning, OS performance tools and profilers, and self-service tools like Vector. Storage I/O. Networking. We help where we can. File System.

Tuning 61

Tuning AWS Best Practices Network 61

Brendan Gregg

DECEMBER 30, 2017

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Our team looks after the BaseAMI, kernel tuning, OS performance tools and profilers, and self-service tools like Vector. Storage I/O. Networking. We help where we can. File System.

Tuning 52

Tuning AWS Best Practices Network 52

Dynatrace

NOVEMBER 15, 2021

A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient. Together, they provide continuous value to the business.

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs). One of the key advantages of DEM is its versatility.

Monitoring 209

Monitoring Social Media IoT Metrics 209

Dynatrace

AUGUST 28, 2020

Azure Data Lake Storage Gen1. Azure Network Interface. Azure Data Factory is a hybrid data integration service that enables you to quickly and efficiently create automated data pipelines—without writing any code. We’ll release additional monitoring support for new services soon, so stay tuned for further updates.

Azure 158

Azure Cloud Tuning Monitoring 158

Scalegrid

JANUARY 8, 2019

Simply put, in a MySQL semisynchronous replication configuration, the master commits transactions to the storage engine only after receiving acknowledgement from at least one of the slaves. Another configuration we can use to increase the efficiency of parallel execution on the slaves is to tune binlog_group_commit_sync_delay on the master.

Availability 113

Availability Tuning Speed Network 113

Percona

OCTOBER 18, 2023

Look closely at your current infrastructure (hardware, storage, networks, etc.) This is where you will fine-tune authentication mechanisms, storage paths, security policies, and memory allocation settings to optimize them for your specific use case(s). Should I be bringing in external experts to help out?

Open Source 88

Open Source Database Hardware Strategy 88

Percona

APRIL 17, 2023

The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place. systemctl stop tuned $ systemctl disable tuned Dirty ratio The dirty_ratio is the percentage of total system memory that can hold dirty pages.

Best Practices 52

Best Practices Design Tuning Database 52

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 97

Hardware Storage Big Data Blockchain 97

Percona

JULY 2, 2023

Having a backup strategy in place that takes regular backups and has secure storage is essential to protect the database in an enterprise-grade environment to ensure its availability in the event of failures or disasters. WALs in PostgreSQL are similar to transaction log files in the InnoDB storage engine for MySQL.

Strategy 52

Strategy Database Storage Open Source 52

All Things Distributed

NOVEMBER 28, 2012

Also, because similar data are stored sequentially, Amazon Redshift can compress data efficiently, which further reduces the amount of IO it needs to perform to return results. They contain large amounts of locally attached storage on multiple spindles and are connected by a minimally oversubscribed 10 Gigabit Ethernet network.

Cloud 164

Cloud Storage Architecture Scalability 164

Particular Software

APRIL 9, 2018

What is the network throughput? Every software system is dependent on a few types of infrastructure (CPU, memory, storage, network), so it's no surprise that there are lots of off-the-shelf tools that provide this capability. With that in mind, how do we monitor a theme park to see if it's running efficiently?

Systems 40

Systems Infrastructure Monitoring Tuning 40

The Morning Paper

JUNE 13, 2019

” If we want an increasing number of applications to use machine learning, we must automate issues that affect ease-of-use, performance, and cost efficiency for users and providers… Despite significant research, this is missing right now. We’d like to pack models as efficiently as possible on the underlying infrastructure.

Hardware 58

Hardware Latency Serverless Energy 58

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

Architecture 52

Architecture Cache Azure Storage 52

Abhishek Tiwari

JULY 12, 2018

These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center. If tuned for performance, there is a good change reliability is compromised - and vice versa. In a nutshell, a data pipeline is a distributed system.

Latency 63

Latency Analytics Scalability Engineering 63

Percona

JANUARY 14, 2019

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). Although such databases can be very efficient with counts and averages, some queries will be slow or simply non existent. Inserts are efficient for bulk inserts only. created_utc?? ?

Database 40

Database Analytics Blockchain Healthcare 40

Brendan Gregg

SEPTEMBER 5, 2017

I wrote a page on it: [perf]. - **eBPF**: tracing features completed in 2016, this provides efficient programmatic tracing to existing kernel frameworks. Both Xen and KVM have had many performance and security improvements, and workloads can now be tuned to run at almost bare metal speeds (say, a 3% loss or less). x series.

Virtualization 76

Virtualization AWS Engineering Hardware 76

SQL Server According to Bob

JANUARY 11, 2020

Stable Media Stable media is often confused with physical storage. SQL Server defines stable media as storage that can survive system restart or common failure. Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well. See the article for more details. SQL Server 7.0

Servers 40

Servers Cache Media Hardware 40

SQL Server According to Bob

JANUARY 11, 2020

url=/library/en-us/fileio/fs/sparse_files.asp ) ​​ on the ​​ Microsoft Developer Network ​​ (MSDN). Streams ​​ NTFS volumes ​​ enable ​​ data files to have one or more secondary storage streams.

Servers 40

Servers Cache Database Media 40