This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Performance benchmarking Performance benchmarking is one of the unresolved mysteries of software engineering. Load generators simulate traffic. This allows dynamic techniques like binary search to pinpoint the exact line of problematic code, facilitating more precise performance benchmarking.
For retail organizations, peak traffic can be a mixed blessing. While high-volume traffic often boosts sales, it can also compromise uptimes. The nirvana state of system uptime at peak loads is known as “five-nines availability.” But is five nines availability attainable? Downtime per year. 90% (one nine).
Its design prioritizes high availability and efficient data transfer with minimal overhead, making it a practical choice for handling real-time data pipelines and distributed event processing. It follows a push-based approach, ensuring messages are distributed to consumers as soon as they become available.
Instead, they can ensure that services comport with the pre-established benchmarks. First, it helps to understand that applications and all the services and infrastructure that support them generate telemetry data based on traffic from real users. Availability. SLOs improve software quality. Reliability.
Google has a pretty tight grip on the tech industry: it makes by far the most popular browser with the best DevTools, and the most popular search engine, which means that web developers spend most of their time in Chrome, most of their visitors are in Chrome, and a lot of their search traffic will be coming from Google. Why This Is a Problem.
WAFs protect the network perimeter and monitor, filter, or block HTTP traffic. Compared to intrusion detection systems (IDS/IPS), WAFs are focused on the application traffic. RASP solutions sit in or near applications and analyze application behavior and traffic. How to get started.
To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it. How does high availability work?
December 2 1pm-2pm CMP 326-R Capacity Management Made Easy with Amazon EC2 Auto Scaling Vadim Filanovsky , Senior Performance Engineer & Anoop Kapoor, AWS Abstract :Amazon EC2 Auto Scaling offers a hands-free capacity management experience to help customers maintain a healthy fleet, improve application availability, and reduce costs.
By simulating user interactions and running tests from various locations worldwide, synthetic monitoring provides a comprehensive view of application performance and availability. The problem card helped them identify the affected application and actions, as well as the expected traffic during that period. Before a crisis.
RUM, however, has some limitations, including the following: RUM requires traffic to be useful. In some cases, you will lack benchmarking capabilities. Because RUM relies on user-generated traffic, it’s hard to indicate persistent issues across the board. Real user monitoring limitations. RUM generates a lot of data.
The ideal end user experience is friction-free: users can access available and functional applications how, when, and where they want. First, the company uses synthetic monitoring to develop user experience benchmarks and determine if applications are performing within expected thresholds. Dynatrace news. DEM in action.
With Dynatrace Synthetic you can deliver clean-room performance benchmark and availability monitoring for your business. Today, we’re happy to announce that we’re expanding to all the availability zones that are provided by your cloud regions. Dynatrace news. So what does this mean for me? What’s next .
We performed a standard benchmarking test using the sysbench tool to compare the performance of a DLV instance vs a standard RDS MySQL instance, as shared in the following section. Benchmarking AWS RDS DLV setup Setup 2 RDS Single DB instances 1 EC2 Instance Regular DLV Enabled Sysbench db.m6i.2xlarge 2xlarge c5.2xlarge MySQL 8.0.31
During the holiday season, an e-commerce platform anticipating a traffic surge could use preventive observability to predict slowdowns or overloads, proactively scale resources, optimize performance, and balance cloud costs. The resurgence of AIOps will redefine industry benchmarks for efficiency and resilience.
With so much at stake, database high availability and fault tolerance have become must-have items, but many companies just aren’t certain which one they must have. This blog article will examine shared attributes of high availability (HA) and fault tolerance (FT). What does high availability mean?
Database uptime and availability Monitoring database uptime and availability is crucial as it directly impacts the availability of critical data and the performance of applications or websites that rely on the MySQL database. That said, it should also be monitored for usage, which will exhibit the traffic pressuring them.
December 2 1pm-2pm CMP 326-R Capacity Management Made Easy with Amazon EC2 Auto Scaling Vadim Filanovsky , Senior Performance Engineer & Anoop Kapoor, AWS Abstract :Amazon EC2 Auto Scaling offers a hands-free capacity management experience to help customers maintain a healthy fleet, improve application availability, and reduce costs.
December 2 1pm-2pm CMP 326-R Capacity Management Made Easy with Amazon EC2 Auto Scaling Vadim Filanovsky , Senior Performance Engineer & Anoop Kapoor, AWS Abstract :Amazon EC2 Auto Scaling offers a hands-free capacity management experience to help customers maintain a healthy fleet, improve application availability, and reduce costs.
HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures.
Par t of the appeal of Python is that there is a vast array of libraries available for it; when these are written in C, they can go a long way to alleviating Python’s performance problems. I suggest it’s long past time to move beyond C and SPEC benchmarks and our exclusive focus on “metal” languages.
As an ad publisher, your revenue depends on two main factors: traffic to your site and ad optimization. A lot of the focus goes into the practice and processes of driving traffic to your site from an SEO perspective, but what if when visitors get to your site, they have a less than ideal experience? Dotcom-Monitor Website Monitoring.
In this case, we have a quite well-defined scenario that can resemble the image below: In this scenario, the proxies must sit inside Pods, balancing the incoming traffic from the Service LoadBalancer connecting with the active data nodes. Anyhow, we are here to talk about Proxies. MySQL Router was never in the game.
Key metrics like throughput, request latency, and memory utilization are essential for assessing Redis health, with tools like the MONITOR command and Redis-benchmark for latency and throughput analysis and MEMORY USAGE/STATS commands for evaluating memory. In addition, distributed data is a key factor in high availability.
For vertical scaling, Memcached allows augmenting existing servers with additional CPU cores and memory, thereby enhancing the capacity of the caching pool to manage higher traffic volumes and larger data loads. High data availability is achieved. Scalable reads across multiple instances are possible.
Compute optimized – High CPU-to-memory ration, medium traffic web servers and application servers. and the overall size will determine the amount of temporary storage available. The common trend is to choose a VM based exclusively on vCPU, memory, and storage capacity without benchmarking the current IO and throughput requirements.
When I think of network speeds, I tend to rely on WebPageTest ’s traffic profiles: Traffic profiles to keep in mind on WebPageTest : ranging from Cable and DSL to 3G Slow and 2G. In general, the bitrate of your video should be about 80% of the available throughput on the network. Large preview ). Video Size (Pixels).
To show that I can criticize my own work as well, here I show that sustained memory bandwidth (using an approximation to the STREAM Benchmark ) is also inadequate as a single figure of metric. (It Here I assumed a particular analytical function for the amount of memory traffic as a function of cache size to scale the bandwidth time.
All rely heavily on utilizing allocated portions from existing pools made available through specific providers as part of their service offerings. There are numerous choices available for deploying these workloads on various cloud provider platforms that offer unique capabilities.
Benchmark your site against your competitors Our public-facing Industry Benchmarks dashboard gets a lot of visits, but did you know you can create your own custom competitive benchmarking dashboard in SpeedCurve? READ : How to create a competitive benchmark dashboard ––––– 4.
Your current competitive benchmarks status. The results – including detailed performance optimization recommendations – are available in your test details. Evaluate CDN performance by exploring the impact of time-of-day traffic patterns. Expanded Industry Speed Benchmarks. RUM update: Page labels.
Since instances of both CentOS and Ubuntu were running in parallel, I could collect flame graphs at the same time (same time-of-day traffic mix) and compare them side by side. Checking those available: $ cat /sys/devices/system/clocksource/clocksource0/available_clocksource. Running this on the two systems saw similar results.
Looking at the industry benchmarks for US retailers , four well-known sites have backend times that are approaching – or well beyond – that threshold. Pagespeed Benchmarks - US Retail - LCP When you examine a waterfall, it's pretty obvious that TTFB is the long pole in the tent, pushing out render times for the page.
They can also highlight very long redirection chains in your third-party traffic. The most popular, by far, is the Google Lighthouse report (available in Chrome Developer Tools) and Google’s Page Speed Insights. They are more of a benchmark than a true measurement of real user experience.
Modern network performance and availability. Using a global ASP as a benchmark can further mislead thanks to the distorting effect of ultra-high-end prices rising while shipment volumes stagnate. Here begins our 2021 adventure. Hard Reset. Advances in browser content processing. Content Is Dead, Long Live Content.
Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. Just because everything works perfectly during production testing doesn’t mean that will be the case when your website is flooded with traffic.
I remember how, later on, a common question I would get in after giving performance-focused presentations was: “Is any of this going to matter when 4G is available?” Once a new network does get rolled out, it takes years for carriers to optimize it to try and close in on the promised bandwidth and latency benchmarks.
Synthetic monitoring is one of the best ways to detect outages or availability issues since it actively tests your site from the outside. Competitive & Industry Benchmarking. With a Synthetic product, benchmarking a competitor’s site is as easy as testing your own site…you simply provide a URL.
To show that I can criticize my own work as well, here I show that sustained memory bandwidth (using an approximation to the STREAM Benchmark ) is also inadequate as a single figure of metric. (It Here I assumed a particular analytical function for the amount of memory traffic as a function of cache size to scale the bandwidth time.
Budgets are scaled to a benchmark network & device. If our example document wasn’t reliant on JavaScript to construct the <my-app> custom element, the contents of the document would likely be interactive as soon as enough CSS and content was available to render meaningfully. Global Ground-Truth. 400Kbps transfer.
Reading time 4 min It’s important for both technical and business teams to understand the different web performance monitoring options that are available as well as their various use cases and the benefits of each. The measured traffic is not of your actual users; it is synthetically generated to collect data on page performance.
In technical terms, network-level firewalls regulate access by blocking or permitting traffic based on predefined rules. â€At its core, WAF operates by adhering to a rulebook—a comprehensive list of conditions that dictate how to handle incoming web traffic. You've put new rules in place.
As of September 2020, Statista reports that around 30,40,000 apps are available on Google Playstore. Unlike iOS development, Android development requires proper standards and varying benchmarks for performance and optimization. And in the Indian market, the numbers are higher with Android users at 74.11%, reports Statcounter. .
These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. The RDS automated backup and PITR capabilities protect against data loss and system failures, ensuring high availability and performance while simplifying backup management for developers and DBAs.
Since instances of both CentOS and Ubuntu were running in parallel, I could collect flame graphs at the same time (same time-of-day traffic mix) and compare them side by side. CPU profile Understanding a CPU time should be easy by comparing CPU flame graphs. The CentOS flame graph: The Ubuntu flame graph: Darn, they didn't work.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content