CSS Wizardry

SEPTEMBER 16, 2024

RTT data should be seen as an insight and not a metric. Note some of the counties in these URLs: this client has a truly international audience, and latency metrics are of great interest to me. Interestingly, latency only accounts for a small proportion of my overall TTFB metric. RTT isn’t a you-thing, it’s a them-thing.

Latency 244

Latency Cache Transportation Mobile 244

The Netflix TechBlog

MAY 4, 2023

The second phase involves migrating the traffic over to the new systems in a manner that mitigates the risk of incidents while continually monitoring and confirming that we are meeting crucial metrics tracked at multiple levels. Also, since this logic resides on the server side, we can iterate on any required changes faster.

Traffic 347

Traffic Latency Tuning Systems 347

Dynatrace

JANUARY 16, 2023

On-premises data centers invest in higher capacity servers since they provide more flexibility in the long run, while the procurement price of hardware is only one of many cost factors. Of the organizations in the Kubernetes survey, 71% run databases and caches in Kubernetes, representing a +48% year-over-year increase.

Open Source 358

Open Source Java Operating System Programming 358

Dynatrace

JANUARY 31, 2024

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. million AI server units annually by 2027, consuming 75.4+

Cache 276

Cache Azure Infrastructure Monitoring 276

Percona

APRIL 14, 2023

A shared characteristic in most (if not all) databases, be them traditional relational databases like Oracle, MySQL, and PostgreSQL or some kind of NoSQL-style database like MongoDB, is the use of a caching mechanism to keep (a copy of) part of the data in memory. How do you know if your MySQL database caching is operating efficiently?

Cache 107

Cache Efficiency Database Monitoring 107

Dynatrace

NOVEMBER 3, 2021

Monitoring focuses on watching specific metrics. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. For example, we can actively watch a single metric for changes that indicate a problem — this is monitoring.

Monitoring 264

Monitoring Metrics DevOps Scalability 264

CSS Wizardry

AUGUST 24, 2022

Most metrics are not atomic: FCP, for example, isn’t a metric we can optimise in isolation—it’s a culmination of other more atomic metrics such as connection overhead, TTFB, and more. As noted above, it’s not actually possible to improve certain metrics in their own right. mark ( ' HEAD Start ' ); performance. duration ).

Benchmarking 276

Benchmarking Metrics Cache Network 276

DZone

DECEMBER 30, 2020

Below are some of the key metrics that need to be monitored during performance testing: CPU utilization. Server page faults/second. Cache hit ratio. Heap memory utilization. Number of active/daemon threads. Number of classes loaded. Active total sessions. SSL transactions/second. Active/total DB pool connections. Load balancing.

Servers 133

Servers Performance Cache Performance Testing 133

CSS Wizardry

AUGUST 7, 2019

However, one metric I feel that front-end developers overlook all too quickly is Time to First Byte (TTFB). A lot of people surmise that TTFB is merely time spent on the server, but that is only a small fraction of the true extent of things. only to find that the resource they’re requesting isn’t in that PoP ’s cache.

Latency 274

Latency Ecommerce Servers Mobile 274

Scalegrid

JULY 8, 2020

If the script has already performed writes to the server and must still be killed, use the SHUTDOWN NOSAVE to shutdown the server completely. In fact, this discussion applies to any high availability system that depends on polling the Redis servers for health: Long-running scripts will initially block client commands.

Servers 239

Servers Database Availability Monitoring 239

Dynatrace

NOVEMBER 29, 2021

When you add the Dynatrace extension to your Lambda functions, Dynatrace begins ingesting their metrics, logs, and traces, which you can monitor and correlate with data from the rest of your stack. In addition to the built-in views, Dynatrace provides data analysis tools that greatly enhance your abilities to query and chart metrics.

Lambda 246

Lambda AWS Serverless Metrics 246

Alex Russell

MARCH 31, 2022

Browsers will cache tools popular among vocal, leading-edge developers. There's plenty of space for caching most popular frameworks. The best available proxy data also suggests that shared caches would have a minimal positive effect on performance. Browsers now understand the classic shared HTTP cache behaviour as a privacy bug.

Cache 89

Cache Government Traffic Network 89

Smashing Magazine

MAY 16, 2022

Rethinking Server-Timing As A Critical Monitoring Tool. Rethinking Server-Timing As A Critical Monitoring Tool. In the world of HTTP Headers, there is one header that I believe deserves more air-time and that is the Server-Timing header. Setting Server-Timing. Sean Roberts. 2022-05-16T10:00:00+00:00.

Servers 111

Servers Monitoring Cache Network 111

Dynatrace

AUGUST 30, 2019

A well-established metric we provide is APDEX , which tell us how users are perceiving page load times (time to the first byte, page speed, speed index), errors (JavaScript errors, crashes,) and also factors in the overall user journey (each user interaction) including their environment (browser, geolocation, bandwidth).

Cache 214

Cache Database Architecture Government 214

The Netflix TechBlog

SEPTEMBER 8, 2020

This allows the app to query a list of “paths” in each HTTP request, and get specially formatted JSON (jsonGraph) that we use to cache the data and hydrate the UI. To prepare ourselves for a big change in the tech stack of our endpoint, we decided to track metrics around the time taken to respond to queries.

Latency 241

Latency Cache Java Traffic 241

Dynatrace

NOVEMBER 5, 2019

Microsoft offers a wide variety of tools to monitor applications deployed within Microsoft Azure, and the Azure Monitor suite includes several integration points into the enterprise applications, including: VM agent – Collects logs and metrics from the guest OS of virtual machines. Available as an agent installer). How does Dynatrace fit in?

Azure 198

Azure Artificial Intelligence Metrics Innovation 198

The Netflix TechBlog

SEPTEMBER 10, 2024

By Karthik Yagna , Baskar Odayarkoil , and Alex Ellis Pushy is Netflix’s WebSocket server that maintains persistent WebSocket connections with devices running the Netflix application. What if we wanted to move past Pushy’s pattern of delivering server-side messages?

Latency 234

Latency Cache Tuning Efficiency 234

Dynatrace

AUGUST 12, 2019

With OneAgent installed on an application server, Davis, the Dynatrace AI causation engine, continuously analyzes all database statements within the context of your applications. With additional data from the database server, you’ll be able to resolve performance problems that are rooted deep in the database layer.

Database 170

Database Metrics Cache Servers 170

The Netflix TechBlog

OCTOBER 16, 2019

Often the data is held in memory by consumers and used as a “total cache”, where it is accessed at runtime by client code and atomically swapped out under the hood. for example Open Connect Appliance cache configuration, supported device type IDs, supported payment method metadata, and A/B test configuration.

Cache 191

Cache Architecture Metrics Java 191

Dynatrace

APRIL 21, 2022

Most monitoring tools for migrations, development, and operations focus on collecting and aggregating the three pillars of observability— metrics, traces, and logs. Using a data-driven approach to size Azure resources, Dynatrace OneAgent captures host metrics out-of-the-box to assess CPU, memory, and network utilization on a VM host.

Azure 246

Azure Monitoring Virtualization Metrics 246

Percona

NOVEMBER 6, 2023

In this article, we will see how someone can monitor Custom Resources that are created by the Operators with kube-state-metrics (KSM), a standard and widely adopted service that listens to the Kubernetes API server and generates metrics. Once captured, the metrics are exposed. kubectl get pxc pxc-1 -oyaml | yq 'del(.status.conditions)

Metrics 102

Metrics Monitoring Database Cache 102

Percona

APRIL 7, 2023

If we were to select the most important MySQL setting, if we were given a freshly installed MySQL or Percona Server for MySQL and could only tune a single MySQL variable, which one would it be? Sysbench ran on a third server, which I’ll refer to as the application server (APP). Are these results good enough?

Tuning 145

Tuning Cache Servers Benchmarking 145

All Things Distributed

SEPTEMBER 3, 2013

Amazon RDS , with support for MySQL, SQL Server and Oracle databases, is for customers with apps where relational database features and support for a specific brand of database are critical. Amazon ElastiCache is a fully managed, in-memory caching service for customers to optimize the latency, performance and cost of their read workloads.

Cache 97

Cache Cloud Performance Retail 97

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

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. However, simply deploying a monitoring tool is not enough; you need to know which Key Performance Indicators (KPIs) to monitor to gain insights into your MySQL server’s health and performance.

Performance 136

Performance Monitoring Traffic Database 136

Smashing Magazine

NOVEMBER 22, 2021

A website’s performance can make or break its success, yet in August 2020, despite many improvements we had previously made, such as implementing Server-Side Rendering (SSR), the ratio of Wix websites with good Google Core Web Vitals (CWV) scores was only 4%. Better tooling and metrics standardization. Dan Shappir.

Website 141

Website Performance Google Website Performance 141

Dynatrace

MAY 2, 2019

Best practice: Reduce bandwidth consumption by caching and keeping information. Host and service details typically don’t change from minute to minute, so try to cache that information across multiple API calls to reduce the bandwidth required for API calls.

Best Practices 174

Best Practices Monitoring Cache Speed 174

MachMetrics

MARCH 21, 2019

Web performance metrics track the efficiency (or lack thereof) of any individual aspect of your website’s performance. Once you have started collecting some of these must-track web performance metrics for your website, inefficiencies will become clearer. Top 10 Web Perf Metrics to Track. Time to First Byte.

Metrics 74

Metrics Social Media Performance Speed 74

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

All Things Distributed

AUGUST 22, 2011

Today AWS has launched Amazon ElastiCache , a new service that makes it easy to add distributed in-memory caching to any application. Amazon ElastiCache handles the complexity of creating, scaling and managing an in-memory cache to free up brainpower for more differentiating activities. No Server Required - Jekyll & Amazon S3.

Cloud 103

Cloud Cache AWS Storage 103

The Netflix TechBlog

OCTOBER 8, 2024

We do not use it for metrics, histograms, timers, or any such near-real time analytics use case. Here’s how we manage this: Horizontal scaling : TimeSeries server instances can auto-scale up and down as per attached scaling policies to meet the traffic demand. Those use cases are well served by the Netflix Atlas telemetry system.

Latency 239

Latency Storage Traffic Tuning 239

Smashing Magazine

MARCH 6, 2025

Is the server too slow? The Four LCP Subparts LCP subparts split the Largest Contentful Paint metric into four different components: Time to First Byte (TTFB) : How quickly the server responds to the document request. Expand the Largest Contentful Paint metric to see subparts and other details related to your LCP score.

Website 59

Website Google Speed Metrics 59

Percona

MARCH 17, 2023

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. Planning for resources of a PMM Server host instance can be tricky because the numbers can change depending on the DB instances being monitored by PMM. VictoriaMetrics maintains an in-memory cache for mapping active time series into internal series IDs.

Monitoring 117

Monitoring Scalability Database Cache 117

High Scalability

DECEMBER 18, 2018

Senior DevOps Engineer : Your engineering work will focus on using your deep knowledge of the web stack including firewalls, web applications, caches and data stores ­ to create innovative infrastructure architectures that are resilient, scalable, and blazingly fast. It's a tool (actually, multiple tools) that your entire team will love.

Healthcare 122

Healthcare Best Practices DevOps Cache 122

Jos

JUNE 2, 2018

One could argue this is a metric-driven decision. How would you architecture a non-trivial size web project (client, server, databases, caching layer)? There is a lot research on how performance optimization improves key metrics and sites like WPO Stats are a good source of case studies. Well, not so fast. Aim for that.

Performance 237

Performance Speed Google Media 237

SQL Performance

APRIL 13, 2020

His version can be used for the plan cache – the only challenge there is the information is transient, so you may not capture every query that uses a particular index. If possible, I'll also consider execution counts (from Query Store or the plan cache) to not just understand what query uses an index, but how frequently that query executes.

Tuning 137

Tuning Cache Metrics Testing 137

Speed Curve

FEBRUARY 5, 2024

However, that pesky 20% on the back end can have a big impact on downstream metrics like First Contentful Paint (FCP), Largest Contentful Paint (LCP), and any other 'loading' metric you can think of. Server-timing headers are a key tool in understanding what's happening within that black box of Time to First Byte (TTFB).

Servers 64

Servers Cache Benchmarking Retail 64