Dynatrace

JUNE 25, 2020

Dynatrace Managed is intrinsically highly available as it stores three copies of all events, user sessions, and metrics across its cluster nodes. This means that Dynatrace continues full operation when a majority of nodes are up and a maximum of two nodes are down at a time. Dynatrace news. Self-contained turnkey solution.

Availability 264

Availability Hardware Latency Traffic 264

Dynatrace

APRIL 5, 2021

Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. You will likely need to write code to integrate systems and handle complex tasks or incoming network requests. Real-time file processing, for quickly indexing files, processing logs, and validating content.

Lambda 258

Lambda AWS Serverless Hardware 258

Dynatrace

MAY 1, 2023

ITOA automates repetitive cloud operations tasks and streamlines the flow of analytics into decision-making processes. Additionally, ITOA gathers and processes information from applications, services, networks, operating systems, and cloud infrastructure hardware logs in real time. Define core metrics.

Analytics 246

Analytics Artificial Intelligence Big Data Open Source 246

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. Redis returns a big list of database metrics when you run the info command on the Redis shell. You can pick a smart selection of relevant metrics from these.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. An orchestration platform needs to expose data about its internal states and activities in the form of logs, events, metrics, or transaction traces. Observability.

Open Source 334

Open Source DevOps Traffic Cloud 334

DZone

FEBRUARY 21, 2021

CPU consumption in Unix/Linux operating systems are studied using 8 different metrics: User CPU time , System CPU time , nice CPU time , Idle CPU time , Waiting CPU time , Hardware Interrupt CPU time , Software Interrupt CPU time , and Stolen CPU time. In this article, let's study ‘nice CPU time’.

Operating System 133

Operating System Hardware Metrics Systems 133

Dynatrace

AUGUST 8, 2019

The IBM Z platform is a range of mainframe hardware solutions that are quite frequently used in large computing shops. Typically, these shops run the z/OS operating system, but more recently, it’s not uncommon to see the Z hardware running special versions of Linux distributions.

Availability 34

Availability Hardware Java Tuning 34

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. Logs can include data about user inputs, system processes, and hardware states. Optimized system performance. More automation. But logs alone aren’t enough.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

DZone

DECEMBER 3, 2019

Telegraf is an agent that runs on your operating system of choice, schedules gathering metrics and events from various sources and then sends them to one or more sinks, such as InfluxDB or Kafka. It can also retrieve information about hardware and software from the OS. Learn how to use Telegraf on Windows.

Hardware 147

Hardware Operating System Metrics Cloud 147

DZone

JANUARY 16, 2021

CPU consumption in Unix/Linux operating systems is broken down into 8 different metrics: User CPU time , System CPU time , nice CPU time , Idle CPU time , Waiting CPU time , Hardware Interrupt CPU time , Software Interrupt CPU time , and Stolen CPU time. In this article, let us study ‘waiting CPU time’.

Operating System 124

Operating System Hardware Network Metrics 124

Dynatrace

NOVEMBER 22, 2022

An always-on infrastructure provides the foundation for system availability that can deliver five-nines availability. Traditionally, teams achieve this high level of uptime using a combination of high-capacity hardware, system redundancy, and failover models. Gather observability data from all digital touchpoints.

Infrastructure 246

Infrastructure Availability Systems Retail 246

Scalegrid

JANUARY 21, 2025

Buckle up as we delve into the world of Redis monitoring, exploring the most important Redis metrics, discussing essential tools, and even peering into the future of Redis performance management. Identifying key Redis metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

Brendan Gregg

AUGUST 8, 2017

Load averages are an industry-critical metric – my company spends millions auto-scaling cloud instances based on them and other metrics – but on Linux there's some mystery around them. But to understand them in more detail is difficult without the aid of other metrics. I've never seen an explanation.

Latency 111

Latency Metrics C++ Systems 111

Percona

AUGUST 30, 2023

In general terms, here are potential trouble spots: Hardware failure: Manufacturing defects, wear and tear, physical damage, and other factors can cause hardware to fail. heat) can damage hardware components and prompt data loss. Without data backup mechanisms, there can be data loss or system downtime.

Database 107

Database Hardware Open Source Strategy 107

Dotcom-Montior

NOVEMBER 24, 2021

Software and hardware components are autonomous and execute tasks concurrently. Concurrency refers to the system’s ability to carry out multiple tasks in parallel and manage the access and usage of shared resources. Big systems cost big money. Monitoring a Distributed System. Heterogeneity. Fault Tolerance.

Systems 74

Systems Monitoring Hardware Network 74

Speed Curve

FEBRUARY 24, 2025

In addition to upgrading the underlying operating system, we've added support for: Lighthouse 12.3.0 Synthetic updates are known to cause baseline changes due to hardware changes, browser optimization or in the case of Lighthouse, changes to the methodology. previously 10.4.0) See full release history here. and 10.4.0

Testing 52

Testing Metrics Operating System Hardware 52

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. Basic server metrics. Custom metrics. RUM gathers data from real life users to analyze application performance.

Strategy 72

Strategy Metrics Monitoring Servers 72

John McCalpin

APRIL 25, 2023

The primary metric for memory bandwidth in multicore processors is that maximum sustained performance when using many cores. This metric is interesting because we don’t always have the luxury of parallelizing every application we run, and our operating systems almost always process each call (e.g.,

Benchmarking 97

Benchmarking Cache Latency Tuning 97

The Morning Paper

MAY 21, 2019

Using zswap means that no new hardware solutions are required, enabling rapid deployment across clusters. The key to an efficient system is the identification of cold pages: the cold age threshold determines how many seconds we can go without a page being accessed before it is declared cold.

Software 78

Software Software Google Hardware 78

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. HammerDB has graphical and command line interfaces for the Windows and Linux operating systems. The NOPM Metric. HammerDB is a software application for database benchmarking.

Benchmarking 63

Benchmarking Open Source C++ Cache 63

HammerDB

APRIL 19, 2023

Let’s look at how the workloads behave when running on an identical system We ran both sysbench and HammerDB on a system with: Processors: Two Intel Xeon 8360Y processor sockets (36 Core/72 Threads per socket). Operating System: Ubuntu 22.04 DISK METRICS sysstat_io_nvme0n1_avg_wait_ms 8.32 Database: MySQL 8.0.31

Performance 55

Performance Benchmarking Cache Storage 55

Smashing Magazine

JANUARY 15, 2019

The key metric for measuring the sustainability of a digital product is its energy usage. how much data does the browser have to download to display your website) and resource usage of the hardware serving and receiving the website. “You Can’t Manage What You Can’t Measure”. These include data transfer (i.e. Sustainable Web Design.

Website Performance 78

Website Performance Website Energy Performance 78

Dotcom-Montior

NOVEMBER 27, 2018

Additionally, end users can access your site or applications from anywhere in the world using different browsers, operating systems, and mobile devices, all with varying connection speeds. Use baseline metrics to identify performance degradation by reviewing elements provided by waterfall charts.

Performance Testing 40

Performance Testing Strategy Testing Performance 40

SQL Server According to Bob

JANUARY 11, 2020

Most manufacturers' implementations immediately flush pending writes to physical disk during the restart operations. Example 1: ​​ Hardware failure (CPU board) Battery backup on the caching controller maintained the data. Important Always consult with your hardware manufacturer for proper stable media strategies.

Servers 40

Servers Cache Media Hardware 40

HammerDB

JANUARY 5, 2019

As the chart shows because we know that both HammerDB and the implementation of the TPC-C workload scales then we can determine that with this particular database engine both the software and hardware scales as well. If you only test your own application (and if you have more than one application which one will you use for benchmarking?)

Benchmarking 40

Benchmarking Database Social Media Scalability 40

Adrian Cockcroft

NOVEMBER 11, 2019

A learning organization, disaster recovery testing, game days, and chaos engineering tools are all important components of a continuously resilient system. This discussion focuses on hardware, software and operational failure modes. The update rate could be set too high so that the sensor or metric delivery system can’t keep up.

Latency 53

Latency Systems Engineering Hardware 53

Adrian Cockcroft

NOVEMBER 11, 2019

A learning organization, disaster recovery testing, game days, and chaos engineering tools are all important components of a continuously resilient system. This discussion focuses on hardware, software and operational failure modes. The update rate could be set too high so that the sensor or metric delivery system can’t keep up.

Latency 52

Latency Systems Engineering Hardware 52

Testsigma

FEBRUARY 12, 2021

It is mostly a metric of quality assurance, but the whole app development team is active in its operations. Given the wide variety of computers, operating systems, and browsers currently available to consumers, testing these variations is important for testers to work.

Testing 54

Testing Testing Tools Software Engineering Internet 54

John McCalpin

APRIL 25, 2023

The primary metric for memory bandwidth in multicore processors is that maximum sustained performance when using many cores. This metric is interesting because we don’t always have the luxury of parallelizing every application we run, and our operating systems almost always process each call (e.g.,

Benchmarking 40

Benchmarking Cache Latency Tuning 40

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc.

AWS 52

AWS Database Serverless Storage 52

Dynatrace

APRIL 15, 2024

In contrast, observability enables teams to understand a system’s internal state by analyzing the data it generates, including logs, metrics, and traces. Every hardware, software, cloud infrastructure component, container, open source tool, and microservice generates records of every activity within modern environments.

Infrastructure 246

Infrastructure Efficiency Government Transportation 246

Smashing Magazine

JANUARY 7, 2019

Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. You need a business stakeholder buy-in, and to get it, you need to establish a case study on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about. Table Of Contents. Setting Realistic Goals. Defining The Environment.

Performance 111

Performance Cache Network Metrics 111

Dynatrace

OCTOBER 17, 2024

Dynatrace introduced numerous powerful features to its Infrastructure & Operations app, addressing the emerging requirement for enhanced end-to-end infrastructure observability. These enhancements are designed to empower IT operations and SRE teams with more comprehensive visibility and increased efficiency at any time.

Infrastructure 246

Infrastructure Network DevOps Metrics 246

HammerDB

DECEMBER 10, 2024

In this post, we revisit how to interpret transactional database performance metrics and give guidance on what levels of performance should be expected on up-to-date hardware and software in 2024. tpmC tpmC is the transactions per minute metric that is the measurement of the official TPC-C benchmark from the TPC-Council.

C++ 58

C++ Benchmarking Hardware Performance 58

High Scalability

NOVEMBER 25, 2019

What operating systems do you use? We also generate quite a bit of internal application metrics using a home grown framework. We use Grafana/Nagios/Kibana, internal tools and other tools to monitor performance for other parts of the system. How are software and hardware upgrades rolled out? Nginx, HAproxy.

Architecture 52

Architecture Cache Azure Storage 52