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

Dynatrace

AUGUST 25, 2023

These signals ( latency, traffic, errors, and saturation ) provide a solid means of proactively monitoring operative systems via SLOs and tracking business success. While this connection might sound simple, finding the right metrics to measure the needed SLIs takes time and effort.

Performance 174

Performance Latency Traffic Metrics 174

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 171

Metrics Monitoring Database Network 171

Dynatrace

JANUARY 26, 2021

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. There is no need to plan for extra resources, update operating systems, or install frameworks. The provider is essentially your system administrator.

Serverless 244

Serverless Efficiency Lambda Azure 244

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. What’s next?

Availability 247

Availability Hardware Latency Traffic 247

Smashing Magazine

OCTOBER 31, 2023

But do you know how Lighthouse calculates performance metrics like First Contentful Paint (FCP), Total Blocking Time (TBT), and Cumulative Layout Shift (CLS)? Still, there’s nothing in there to tell us about the data Lighthouse is using to evaluate metrics. But it comes with caveats. So why use lab data at all?

Speed 97

Speed Google Website Metrics 97

Dynatrace

SEPTEMBER 16, 2022

For example, teams can further segment the telemetry data captured from a mobile app based on operating system, device, region, app version, and other custom metrics, to provide more granular insights on users and their behavior. When it comes to mobile app development, it’s vital that owners get the full picture.

Mobile 220

Mobile Metrics Monitoring Latency 220

Adrian Cockcroft

APRIL 5, 2023

This proposal seeks to define a standard for real-time carbon and energy data as time-series data that would be accessed alongside and synchronized with the existing throughput, utilization and latency metrics that are provided for the components and applications in computing environments.

Energy 52

Energy Metrics Cloud Operating System 52

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

John McCalpin

APRIL 2, 2020

All of the SPECfp_rate2000 results were downloaded from www.spec.org, the results were sorted by processor type, and “peak floating-point operations per cycle” was manually added for each processor type. This includes all architectures, all compilers, all operating systems, and all system configurations.

Benchmarking 59

Benchmarking Performance Latency Architecture 59

Dotcom-Montior

NOVEMBER 24, 2021

Concurrency refers to the system’s ability to carry out multiple tasks in parallel and manage the access and usage of shared resources. A distributed system comprises of a variety of hardware and software components with different operating systems and technologies, meaning the processors are separate and independent of each other.

Systems 74

Systems Monitoring Hardware Network 74

All Things Distributed

APRIL 9, 2015

With a few clicks in the AWS Management Console, customers can use Amazon EFS to create file systems that are accessible to EC2 instances and that support standard operating system APIs and file system semantics. Synchronous events operate with low latency so you can deliver dynamic, interactive experiences to your users.

Lambda 122

Lambda Cloud IoT AWS 122

The Morning Paper

MAY 21, 2019

This boils down to a single digit µs latency toleration in the tail for far memory, and in addition to security and privacy concerns, rules out remote memory solutions. Thus we’re fundamentally trading (de)-compression latency at access time for the ability to pack more data in memory.

Software 78

Software Software Google Hardware 78

Adrian Cockcroft

NOVEMBER 11, 2019

Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. For systems that are latency sensitive, creating two independent ways to succeed is an important technique for greatly reducing the 99th percentile latency.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. For systems that are latency sensitive, creating two independent ways to succeed is an important technique for greatly reducing the 99th percentile latency.

Latency 53

Latency Engineering Systems Hardware 53

Percona

JULY 1, 2023

It efficiently manages read and write operations, optimizes data access, and minimizes contention, resulting in high throughput and low latency to ensure that applications perform at their best. Percona Monitoring and Management (PMM) can also be used to gather metrics. Migration to RDS can be performed using Percona XtraBackup.

AWS 52

AWS Database Serverless Storage 52

John McCalpin

JULY 23, 2018

When running a single user thread, you will often get the advertised single-core Turbo frequency, but if the operating system enables more cores to handle (even very short-lived) background processes, your frequency may drop unexpectedly. RDTSCP can still be executed later than expected, but not earlier.

Code 45

Code Programming Latency Testing 45

SQL Server According to Bob

JANUARY 11, 2020

Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. SQL Server always checks I/O completion status for any operating system error conditions and proper data transfer size and then handles errors appropriately. The data transfer size is not valid.

Servers 40

Servers Cache Media Hardware 40

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

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 104

Performance Cache Network Metrics 104