SQL Performance

APRIL 15, 2020

This capability is essential when performance tuning since query events include discrete CPU and IO metrics as well as runtime parameters, which are key for troubleshooting query performance problems such as parameter sniffing. For some reason this thing will not go away! An Updated XE Session. sqlserver.existing_connection. sqlserver.login.

Azure 96

Azure Database Tuning Network 96

Adrian Cockcroft

JUNE 21, 2022

I really enjoyed the variety of working with several different customers every day, on different problems, and being part of an extremely innovative and fast growing company. Rich became co-author of the second edition of the Sun Performance Tuning book, to describe how it worked. Rich Pettit is one of the best programmers I ever met.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. The post Data lakehouse innovations advance the three pillars of observability for more collaborative analytics appeared first on Dynatrace news.

Analytics 186

Analytics Innovation Metrics Database 186

Percona

DECEMBER 11, 2023

There are a wealth of options on how you can approach storage configuration in Percona Operator for PostgreSQL , and in this blog post, we review various storage strategies — from basics to more sophisticated use cases. For example, you can choose the public cloud storage type – gp3, io2, etc, or set file system.

Storage 103

Storage Strategy Cloud Azure 103

The Netflix TechBlog

SEPTEMBER 24, 2021

By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. 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 237

Cloud Media Storage Cache 237

Dynatrace

JUNE 27, 2023

Many AWS services and third party solutions use AWS S3 for log storage. While these are great examples of innovation and the power of the community, enterprises often require the type of continuous support and maintenance that only comes with official software. Or explore the recently introduced support for AWS Lambda logs.

AWS 198

AWS Cloud Lambda Analytics 198

Dynatrace

DECEMBER 5, 2023

You’re no longer required to use a single offering or choose from a few instance families; Graviton includes general-purpose and accelerated-computing offerings, plus compute-, memory-, and storage-optimized instances.

Efficiency 266

Efficiency Architecture Energy Monitoring 266

Percona

OCTOBER 18, 2023

Free of vendor lock-in Vendor lock-in refers to the loss of freedom to scale, innovate, or switch to alternatives due to dependencies on a specific database vendor. Look closely at your current infrastructure (hardware, storage, networks, etc.) Performance tuning The first critical move in performance tuning is query optimization.

Open Source 91

Open Source Database Hardware Strategy 91

The Netflix TechBlog

NOVEMBER 2, 2021

As VMAF evolves and is integrated with more encoding and streaming workflows within Netflix, we need scalable ways of fostering video quality innovations. This article explains how we designed microservices and workflows on top of the Cosmos platform to bolster such video quality innovations. via bug fixes).

Media 171

Media Innovation Metrics Latency 171

Dynatrace

NOVEMBER 15, 2021

Log analysis can reveal potential bottlenecks and inefficient configurations so teams can fine-tune system performance. Accelerated innovation. An efficient, automated log monitoring and analytics solution can free teams up to focus on innovation that drives better business outcomes. Increased collaboration.

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

All Things Distributed

APRIL 9, 2015

The Amazon ML console and API provide data and model visualization tools, as well as wizards to guide you through the process of creating machine learning models, measuring their quality and fine-tuning the predictions to match your application requirements. Details on the AWS Blog. The Amazon Elastic File System. for a while already.

Lambda 122

Lambda Cloud IoT AWS 122

All Things Distributed

NOVEMBER 28, 2012

Amazon Redshift uses a variety of innovations to enable customers to rapidly analyze datasets ranging in size from several hundred gigabytes to a petabyte and more. They contain large amounts of locally attached storage on multiple spindles and are connected by a minimally oversubscribed 10 Gigabit Ethernet network. Amazon Redshiftâ??s

Cloud 164

Cloud Storage Architecture Scalability 164

All Things Distributed

MARCH 7, 2013

We have also reduced our underlying costs through significant technical innovations from our engineering team. Indexed Storage costs : We are lowering the price of indexed storage by 75%. Virginia) Region, the price of data storage will drop from $1 per GB per month to $0.25. s prices by 70%.

Ecommerce 139

Ecommerce Storage Scalability Hardware 139

All Things Distributed

MARCH 28, 2011

What used to be only available in physical formats now often has digital equivalents and this digitalization is driving great new innovations. I am excited about this because it is already making my digital music experience simpler and I am looking forward to the innovation that these services will drive on behalf of our customers.

AWS 138

AWS Cloud Storage Internet 138

All Things Distributed

OCTOBER 2, 2017

Today marks the 10 year anniversary of Amazon's Dynamo whitepaper , a milestone that made me reflect on how much innovation has occurred in the area of databases over the last decade and a good reminder on why taking a customer obsessed approach to solving hard problems can have lasting impact beyond your original expectations.

Internet 128

Internet Internet AWS Performance 128

All Things Distributed

OCTOBER 8, 2014

The best part is that we are also significantly expanding the free tier many of you already enjoy by increasing the storage to 25 GB and throughput to 200 million requests per month. Let’s now look at the history behind the service and the context for new innovations that make me think that. NoSQL and Scale.

Availability 145

Availability Performance Scalability AWS 145

SQL Server According to Bob

JANUARY 11, 2020

​​ With new ​​ innovations ​​ come ​​ new terms, designs, ​​ and ​​ algorithms. Streams ​​ NTFS volumes ​​ enable ​​ data files to have one or more secondary storage streams.

Servers 40

Servers Cache Database Media 40

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