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 245

Serverless Efficiency Lambda Azure 245

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 176

Metrics Monitoring Database Network 176

Dynatrace

SEPTEMBER 16, 2022

If you’re responsible for the overall performance and success of a mobile application, you likely have many KPIs to measure and monitor, along with business KPI tracking. An all-in-one software intelligence platform with comprehensive native mobile app monitoring integrated with end-to-end observability meets this need. .

Mobile 225

Mobile Metrics Monitoring Latency 225

Dotcom-Montior

NOVEMBER 24, 2021

Setting up and monitoring these systems was pretty easy compared to today’s standards. There were no dynamic web applications or complex user scenarios to have to monitor. monitoring distributed systems becomes much more difficult to carry out and manage. What is a Distributed System? Heterogeneity.

Systems 74

Systems Monitoring Hardware Network 74

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. Automatic recovery for outages for up to 72 hours.

Availability 251

Availability Hardware Latency Traffic 251

Dynatrace

APRIL 5, 2021

But with the benefits also come concerns about observability, and how to monitor and manage ever-expanding cloud software stacks. Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. AWS continues to improve how it handles latency issues. The Amazon Web Services ecosystem.

Lambda 184

Lambda AWS Serverless Hardware 184

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. Does Lighthouse Use RUM Data, Too?

Speed 97

Speed Google Website Metrics 97

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

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

It would take 5–10 minutes after the problem occurred to appear as a problem, then people have to notice and respond to emails or pager text messages, dial into a conference call, and log in to monitoring dashboards before any human response can start. Try to measure your mean time to respond (MTTR) for incidents.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

It would take 5–10 minutes after the problem occurred to appear as a problem, then people have to notice and respond to emails or pager text messages, dial into a conference call, and log in to monitoring dashboards before any human response can start. Try to measure your mean time to respond (MTTR) for incidents.

Latency 53

Latency Engineering Systems Hardware 53

Percona

JULY 1, 2023

These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. There are also cases where although the workload and operational needs seem to best fit to one solution, there are other limiting factors that may be blockers (or at least need special handling).

AWS 52

AWS Database Serverless Storage 52

Smashing Magazine

JANUARY 7, 2019

Getting Ready: Planning And Metrics. Testing And Monitoring. 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.

Performance 104

Performance Cache Network Metrics 104