Dynatrace

OCTOBER 28, 2021

In 2010, Netflix introduced a technology to switch production software instances off at random — like setting a monkey loose in a server room — to test how the cloud handled its services. Lack of end-to-end observability and monitoring into all systems a blast radius might affect is a common problem. Lack of observability.

Engineering 225

Engineering Entertainment Cloud Infrastructure 225

Adrian Cockcroft

JUNE 21, 2022

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Alex Podelko

OCTOBER 20, 2016

From one side, it makes it easier to monitor and update / rollback systems that lowers performance-related risks. System’s configuration is not given anymore and often can’t be easily mapped to hardware. The dynamic architectures represent a major challenge for both monitoring and analysis.

Performance Testing 100

Performance Testing Architecture Testing Performance 100

Percona

JANUARY 19, 2023

Sharding: Sharding is the concept of splitting data horizontally, i.e. by distributing data into multiple servers (shards), meaning that the different portions of data for a given table, may be stored on many different servers. This can help to split large data sets into smaller ones stored in multiple servers.

Open Source 93

Open Source Storage Database Big Data 93

The Morning Paper

JUNE 13, 2019

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. First off there still is a model of course (but then there are servers hiding behind a serverless abstraction too!). autoscaling).

Hardware 58

Hardware Latency Serverless Energy 58

KeyCDN

SEPTEMBER 20, 2018

Let’s take a look at some of the best error monitoring tools and strategies for 2018. Error monitoring can get increasingly complicated as you deal with bugs reported by users and your production team, which is why having an efficient error tracking workflow from the beginning is so important. What is Error Tracking?

Strategy 67

Strategy Monitoring Website Google 67

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

VoltDB

MAY 2, 2017

We recently received a question from a customer who was looking for a quick way to repurpose some VoltDB production servers to create a disaster recovery site. Say you have five VoltDB servers in production, with k-factor=2, and no disaster site. You want to shift some of these servers to create a disaster recovery site.

Hardware 40

Hardware Database Servers Tuning 40

KeyCDN

AUGUST 15, 2019

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. Bottlenecks can occur, for example, if you have a sudden surge in traffic that your servers are not equipped to handle. What is Performance Testing?

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Dynatrace

OCTOBER 2, 2023

Because monolithic applications combine database, client-side interfaces, and server-side application elements in a single executable, they’re difficult to understand, even for their own administrators. Security should be an integral part of each stage of the software delivery lifecycle, from development to monitoring in real time.

Architecture 231

Architecture Artificial Intelligence Cloud Open Source 231

Dynatrace

AUGUST 12, 2020

Serverless computing is a computing model that “allows you to build and run applications and services without thinking about servers.”. With Azure Functions, engineers don’t have to worry about provisioning and maintaining underlying hardware; they simply upload their code, and it’s up and running seconds later. So stay tuned!

Serverless 236

Serverless Azure Monitoring Lambda 236

Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. Performing updates, installing software, and resolving hardware issues requires up to 17 hours of developer time every week.

Serverless 243

Serverless Efficiency Lambda Azure 243

Percona

OCTOBER 18, 2023

These vendors often provide integrated stacks that include the database, application server, and other components that seamlessly integrate. Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you. And finally… budgets.

Open Source 97

Open Source Database Hardware Strategy 97

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. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable.

Latency 63

Latency Analytics Scalability Engineering 63

Dynatrace

SEPTEMBER 29, 2021

A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices. Running containers : Docker Engine is a container runtime that runs in almost any environment: Mac and Windows PCs, Linux and Windows servers, the cloud, and on edge devices.

Open Source 301

Open Source Traffic DevOps Cloud 301

Dynatrace

AUGUST 12, 2020

Serverless computing is a computing model that “allows you to build and run applications and services without thinking about servers.”. With Azure Functions, engineers don’t have to worry about provisioning and maintaining underlying hardware; they simply upload their code, and it’s up and running seconds later. So stay tuned!

Serverless 141

Serverless Azure Monitoring Lambda 141

SQL Performance

JANUARY 23, 2020

The queues component of our methodology comes from Performance Monitor counters, which provide a view of system performance from a resource standpoint.". Tom Davidson, Opening Microsoft's Performance-Tuning Toolbox SQL Server Pro Magazine, December 2003. The Top Queries That Weren't.

Tuning 115

Tuning Servers Monitoring Hardware 115

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

JANUARY 4, 2024

Flexible location : Data files can reside within the MySQL data directory or an independent location, enabling finer control over storage management and performance tuning. mysql> mysql> pager grep -i keyring_file; PAGER set to 'grep -i keyring_file' mysql> SHOW PLUGINS; 50 rows in set (0.00

Storage 93

Storage Engineering Database Hardware 93

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

NOVEMBER 28, 2023

If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” A year after the first web servers became available, how many companies had websites or were experimenting with building them? Until AI reaches 100%, it’s still in the process of adoption.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

The Netflix TechBlog

APRIL 29, 2019

Content is placed on the network of servers in the Open Connect CDN as close to the end user as possible, improving the streaming experience for our customers and reducing costs for both Netflix and our Internet Service Provider (ISP) partners. Our Infrastructure Security team leverages Python to help with IAM permission tuning using Repokid.

Open Source 279

Open Source Network Infrastructure Big Data 279

SQL Server According to Bob

JANUARY 11, 2020

Microsoft, ​​ Windows, ​​ Windows NT, ​​ and Windows Server ​​ are registered trademarks of Microsoft Corporation in the United States and/or other countries. The names of actual companies and products mentioned herein may be the trademarks of their respective owners.

Servers 40

Servers Cache Database Media 40

SQL Performance

APRIL 27, 2020

It is built as part of the platform-as-a-service environment which provides customers with additional monitoring and security for the product. Gen 5 is the primary hardware option now for most regions since Gen 4 is aging out. New Hardware Configuration for Provisioned Compute Tier. GB per vCore. Serverless Database.

Azure 55

Azure Database Serverless Hardware 55

Dotcom-Montior

OCTOBER 12, 2017

Integration Showcase: Dynatrace & Dotcom-Monitor’s LoadView. Dotcom-Monitor’s LoadView and Dynatrace are performance-engineering platforms by heart. Trial account for dotcom-monitor LoadView SaaS. EasyTravel demo application on AWS server. LoadView scripting tool Easystep on AWS server.

AWS 40

AWS Tuning Monitoring Servers 40

Percona

AUGUST 5, 2023

KEY partitioning KEY partitioning is similar to HASH partitioning, except that only one or more columns to be evaluated are specified, and the MySQL server provides its own hashing function. Careful planning and continuous monitoring are crucial to facing these challenges and achieving optimal performance.

Strategy 40

Strategy Storage Database Best Practices 40

Dynatrace

NOVEMBER 20, 2019

Having released this functionality in an Early Adopter Release with OneAgent version 1.173 and Dynatrace version 1.174 back in August 2019, we’re now happy to announce the General Availability of OneAgent full-stack monitoring for Linux on the IBM Z platform, sometimes informally referred to as Z/Linux. What’s included.

Availability 31

Availability Hardware Java Tuning 31

Adrian Cockcroft

NOVEMBER 13, 2023

The carbon footprint of a large rack mounted server is order-of-magnitude a ton of carbon a year. CPUs consume power at idle, and due to various monitoring agents, operating daemons, application background task overhead etc. I’ve written before about how to tune out retry storms. they are never really idle.

Energy 52

Energy Cloud Traffic Transportation 52

Dynatrace

AUGUST 8, 2019

We’re happy to announce the Early Adopter Release of OneAgent full-stack monitoring for Linux on the IBM Z platform, sometimes informally referred to as Z/Linux (available with OneAgent version 1.173 and Dynatrace version 1.174). Mainframe monitoring is an area of significant investment for Dynatrace. What’s included.

Availability 25

Availability Hardware Java Tuning 25

SQL Performance

MARCH 8, 2021

SQL Server 2014 SP2 and later produce runtime (“actual”) execution plans that can include elapsed time and CPU usage for each execution plan operator (see KB3170113 and this blog post by Pedro Lopes). SQL Server makes some timing adjustments in parallel plans to promote consistency, but they are not perfectly implemented. TheYear , CA.

Servers 95

Servers Tuning Architecture Processing 95

O'Reilly

OCTOBER 11, 2022

It’s possible to augment this basic process with OCR so the application can find data on paper forms, or to use natural language processing to gather information through a chat server. Andrew Ng , Christopher Ré , and others have pointed out that in the past decade, we’ve made a lot of progress with algorithms and hardware for running AI.

Games 116

Games Healthcare Processing Retail 116

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. Historically MySQL has been positioned for supporting web-based applications this is in contrast to enterprise based database workloads that have been served by commercial databases such as Oracle, Db2 and SQL Server.

Best Practices 40

Best Practices Scalability Performance C++ 40

Percona

AUGUST 30, 2018

Because recognizing if the workload is read intensive or write intensive will impact your hardware choices, database configuration as well as what techniques you can apply for performance optimization and scalability. The illustrations below are taken from Percona Monitoring and Management (PMM) while running this benchmark.

Benchmarking 48

Benchmarking Database Operating System Architecture 48

High Scalability

NOVEMBER 25, 2019

Application Servers. Apache FTP server. Native desktop and server hosted clients that allow both interactive as well as hybrid sync access to the entire namespace. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Egnyte Connect Tech Stack. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52