Dynatrace

DECEMBER 21, 2023

And while these examples were resolved by just asking a few questions, in many cases, the answers are more elusive, requiring real-time and historical drill-downs into the processes and dependencies specific to each host. Reduce the volume of data volumes requested from databases (for example, request all, filter in memory).

Cloud 202

Cloud Energy Best Practices Cache 202

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. desc="Time to process request at origin" NOTE: This is not a new API. That performance golden rule still holds true today.

Servers 57

Servers Cache Retail Benchmarking 57

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. This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index.

Performance 102

Performance Monitoring Traffic Database 102

Percona

DECEMBER 19, 2022

include: Offline metric collection during PMM server outages or loss of PMM client-server network connectivity. Easily restore your MongoDB databases to a previous state. Client-side caching minimizes potential for metrics loss. Some of the key highlights of PMM V2.33 Updated Grafana to version 9.2.5 Stages of PMM HA.

Metrics 52

Metrics Monitoring Servers Open Source 52

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

Percona

NOVEMBER 9, 2023

In this blog post, we will discuss how to extend Percona Monitoring and Management (PMM) to get PostgreSQL metrics on checkpointing activity, internal buffers, and WAL usage. With this data, we’ll be able to better understand and tune our Postgres servers. You can search the blog for more information on this if needed.

Monitoring 87

Monitoring Tuning Metrics Servers 87

HammerDB

APRIL 19, 2023

Among the different components of modern software solutions, the database is one of the most critical. There are many times we get asked why some cloud instance performed poorly for their database application and almost always turned out to be some configuration error. TB)) for storage of database tablespaces and logging.

Performance 54

Performance Benchmarking Cache Storage 54

SQL Performance

APRIL 13, 2020

In my last post , I started to outline the process I go through when tuning queries – specifically when I discover that I need to add a new index, or modify an existing one. Once we have that data, we can move on to the next steps in the process. Once we have that data, we can move on to the next steps in the process.

Tuning 137

Tuning Cache Metrics Testing 137

The Netflix TechBlog

OCTOBER 15, 2019

caching (Memcached etc.), Another thread or process is constantly polling events from the log table and writes them to one or multiple datastores, optionally removing events from the log table after acknowledged by all datastores. providing advanced search capabilities (ElasticSearch etc.),

Transportation 192

Transportation Architecture Processing Storage 192

SQL Performance

SEPTEMBER 17, 2019

Many database administrators find themselves having to support instances of SQL Server Reporting Services (SSRS), or at least the backend databases that are required for SSRS. In each of the deployment models, the role of the database administrator is to make sure that SSRS is stable, dependable, and recoverable.

Tuning 67

Tuning Servers Database Best Practices 67

KeyCDN

JANUARY 23, 2020

These acronyms, which stand for real user monitoring and application performance monitoring, are software monitoring processes essential to measuring and evaluating applications in many different areas. This process should not be confused with synthetic monitoring which gathers data through synthetic transactions such as pinging a service.

Strategy 72

Strategy Metrics Monitoring Servers 72

Adrian Cockcroft

JANUARY 29, 2023

This seems reasonable overhead for a real time algorithm that could be applied to histogram data as part of a metric collection pipeline. > For high traffic systems, processing the individual response times for each request may be too much work. > system.time(wait1 <- normalmixEM(waiting, mu=c(50,80), lambda=.5,

Lambda 98

Lambda Latency Cache C++ 98

The Morning Paper

FEBRUARY 23, 2020

Caching of query results on the other hand, looks like a good business model, at large enough scale these might amount to pretty much the same thing). We anticipate a competitive marketplace of coordinators – each one with their own indexing and caching layers to improve performance of queries and reduce costs to the client.

Blockchain 94

Blockchain Internet Internet IoT 94

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

Jos

JUNE 2, 2018

One could argue this is a metric-driven decision. It’s better to learn the fundamentals than the library There are still lots of job descriptions and interview processes that focus on libraries and not the underlying technology. How would you architecture a non-trivial size web project (client, server, databases, caching layer)?

Performance 237

Performance Speed Google Media 237

Dynatrace

SEPTEMBER 17, 2019

REDIS for caching. In order to filter these dashboards by tenant all they need is a Dynatrace Management Zone , which is based on meta data extracted by Dynatrace from e.g. k8s tags, container labels or process environment variables. for AWS) Enable AWS CloudWatch Monitoring for additional metrics and MetaData. 3 Log Analytics.

AWS 127

AWS Monitoring Ecommerce Lambda 127

MachMetrics

DECEMBER 27, 2019

While it’s important to check various speed metrics , the Web Almanac uses data from the Chome UX Report which focuses on how Chrome users actually experience the web. The first metric that analyzed was First Contenful Paint (FCP). Time to first byte is a blocker for all other metrics that follow it. First Input Delay.

Performance 52

Performance Speed Website Mobile 52

All Things Distributed

NOVEMBER 26, 2013

and enable you to maintain a nearly up-to-date copy of your master database in a different AWS Region. Amazon RDS offers a monthly uptime percentage SLA of 99.95% per Multi-AZ database instance. Cross Region Read Replicas are available for MySQL 5.6

Cloud 145

Cloud AWS Traffic Latency 145

Percona

NOVEMBER 6, 2023

Percona Operators allow users to easily manage complex database systems in a Kubernetes environment. With Percona Operators , users can easily deploy, monitor, and manage databases orchestrated by Kubernetes, making it easier and more efficient to run databases at scale. Once captured, the metrics are exposed.

Metrics 69

Metrics Monitoring Database Cache 69

Smashing Magazine

NOVEMBER 2, 2021

Moreover, Garten-und-Freizeit, a German e-commerce store that sells furniture, saw an amazing improvement in their metrics after getting a PWA. Due to the use of modern frameworks, advanced caching and rendering, and data transmission via API, properly developed PWAs can be a seven-league step up to boost the store’s speed.

Code 75

Code Cache Retail Mobile 75

Dynatrace

MAY 13, 2022

Apache Cassandra is an open-source, distributed, NoSQL database. Microsoft Azure offers multiple ways to manage Apache Cassandra databases. It also removes the need for developers and database administrators to manage infrastructure or update database versions. Seeing the value.

Azure 231

Azure Latency Metrics Infrastructure 231

Smashing Magazine

JANUARY 15, 2019

The Green Web Foundation maintains an ever-growing database of web hosts who are either wholly powered by renewable energy or are at least committed to being carbon neutral. The key metric for measuring the sustainability of a digital product is its energy usage. A particular favorite in the WordPress space is WP Super Cache.

Website Performance 74

Website Performance Website Energy Performance 74

Percona

AUGUST 8, 2023

Hardware considerations The first thing we have to consider here is the resources that the underlying host provides to the database. Global caches like the InnoDB buffer pool and MyISAM key cache and session-level caches like the sort buffer, join buffer, random read buffer, etc. Do these queries use more caches?

Traffic 88

Traffic Cache Monitoring Database 88

Jos

JUNE 2, 2018

One could argue this is a metric-driven decision. Again, it’s easy to fake performance optimization by leaving out the bad metrics, blocking users who spoil the stats. How would you architecture a non-trivial size web project (client, server, databases, caching layer)? Get involved in the interview process.

Performance 130

Performance Speed Google Media 130

Percona

MAY 10, 2023

” If, however, it got idle because a process is waiting on disk, I/O time is counted towards “IOWait.” ” However, if a process is waiting on disk I/O but other processes on the system can use the CPU, the time will be counted towards their CPU usage as user/system time instead.

Cache 142

Cache Monitoring Open Source Processing 142

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. It enables the user to measure database performance and make comparative judgements about database hardware and software. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The HammerDB name.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Dynatrace

NOVEMBER 3, 2021

Monitoring , by textbook definition, is the process of collecting, analyzing, and using information to track a program’s progress toward reaching its objectives and to guide management decisions. Monitoring focuses on watching specific metrics. First, let’s define what we mean by observability and monitoring.

Monitoring 213

Monitoring Metrics DevOps Scalability 213

Smashing Magazine

NOVEMBER 22, 2021

Now, let’s take a deeper look into the actions and processes we put in place in order to achieve these significant results. So once a certain level of performance is achieved, we want to be able to preserve it without being constantly required to invest additional effort, or slow down the development process. The Wix Challenge.

Website 128

Website Performance Google Media 128

Percona

APRIL 7, 2023

I’ve used a fourth instance to host a PMM server to monitor servers A and B and used the data collected by the PMM agents installed on the database servers to compare performance. That’s a heritage of the LAMP model when the same server would host both the database and the web server.

Tuning 135

Tuning Cache Servers Benchmarking 135

Dynatrace

AUGUST 30, 2019

Infrastructure Optimization: 100% improvement in Database Connectivity. Missing Cache Settings – Make sure you cache resources that don’t change often on the browser or use a CDN. That included web servers, app services, microservices, queues, databases, mainframe and external services.

Cache 193

Cache Architecture Database Government 193

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. A basic high availability database system provides failover (preferably automatic) from a primary database node to redundant nodes within a cluster. HA is sometimes confused with “fault tolerance.”

Availability 105

Availability Database Open Source Hardware 105

Smashing Magazine

AUGUST 3, 2023

Google’s Core Web Vitals is a set of performance metrics that site owners can use to evaluate performance and diagnose performance issues. These metrics provide a different perspective on user experience: Largest Contentful Paint (LCP) Measures the time it takes for the main content on a webpage to load.

Performance 75

Performance Cache Traffic Metrics 75

Percona

SEPTEMBER 1, 2023

MySQL triggers are a powerful tool for database administrators and developers, enabling them to automate tasks, enforce data consistency, and respond to events within the database seamlessly. A Trigger in MySQL is a database object that plays a pivotal role in database management.

Cache 60

Cache Database Games Healthcare 60

Highly Scalable

SEPTEMBER 18, 2012

Although it can hardly be said that NoSQL movement brought fundamentally new techniques into distributed data processing, it triggered an avalanche of practical studies and real-life trials of different combinations of protocols and algorithms. Isolated parts of the database can serve read/write requests in case of network partition.

Database 213

Database Latency C++ Scalability 213

All Things Distributed

SEPTEMBER 3, 2013

Today, we added two important choices for customers running high performance apps in the cloud: support for Redis in Amazon ElastiCache and a new high memory database instance (db.cr1.8xlarge) for Amazon RDS. No single database architecture or solution can meet all of Amazon.com’s or our customers’ needs.

Cache 129

Cache Cloud Performance Retail 129

All Things Distributed

JUNE 21, 2018

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167

Database AWS Games Latency 167

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 181

Azure Monitoring Virtualization Metrics 181