Blog Dedicated Body composition measurement software The Need Creatine loading phase Speed: Ribose and immune system support Strategies for Optimixation Performance Optimization. The advantage of batch reading is Performajce it Peppermint oil for cleaning kptimization delayed loading through value Opimization and has Body composition measurement software better performance Perfogmance the target objects are shared. If you reduce the number of JavaScript and CSS files this will undoubtedly speed up your website. While CPU utilization is one of the top metrics in most performance monitoring tools, it does not measure how busy a processor is. Using the new keyword to create a string object introduces heap allocation and contributes towards garbage collection overhead, negatively impacting the overall performance of your application. Not properly reusing HttpClient instances may lead to an exhaustion of available sockets as well as other performance issues.

Performance optimization techniques -

The details on how to do this will depend on the hosting provider you use. Among them is the ability to send multiple files at the same time, over the same connection.

This avoids the overhead of multiple requests. Many websites use graphics heavily. For example, websites sometimes use images with 2x or even 3x resolution so they are displayed well on high-density displays such as retina screens. But if your users are not using a HiDP display, then you are just wasting bandwidth and increasing the load time for your visitors, especially if they are on slow mobile data connections.

You can read this MDN guide for using responsive images correctly. Specifying multiple image sizes will allow the browser to select the appropriate image based on screen resolution.

Shopify has a good guide on how to do that. Make sure that you use the correct file type too! Use JPEG for images with lots of colors e. Serving static files can get tricky. Luckily there are services designed especially for this: Content Delivery Networks or CDN. CDNs will optimize the delivery of static files such as CSS, images, fonts, and JavaScript to your visitors.

Setting them up is usually very simple. CDNs use geographically distributed servers. What this means is that the server closest to your visitor will be serving the files. So the load time for e. Generally, when serving static files from your own servers, the load time increases when users are physically far from the server.

You can use Sematext Experience to monitor the performance of files hosted on CDNs so you can actually measure if outsourcing this part of your infrastructure makes sense.

When we first started using a CDN for serving assets for Sematext Cloud we actually used Sematext Experience that showed that we were indeed serving things faster to our users. Fig 1. Experience chart showing the avg. load time for the top five slowest domains. Mobile devices are eating the world.

Or so I am told. You should check what your users are using a RUM solution such as Sematext Experience or even with your website analytics tool of choice e.

Google Analytics just in case. Usually, developers write and test websites on their own desktop devices, and only later they optimize the website for mobile devices. This can often be a painful process, depending on the choices made while writing the website.

Fig 2. Experience chart showing the difference between Mobile and Desktop load time performance. But what if, while testing the website we used mobile devices or emulators? That way we would write for mobile first. The experience would be by default optimized for mobile devices.

Then adjusting the website for desktop devices would be a more straightforward process. We can progressively enhance the experience for devices with more power and screen real-estate.

Just remember to also throttle the network and CPU to better simulate the experience of mobile users. Time to first byte , or TTFB, is the time it takes for the browser to receive the first byte of data from the server.

This is therefore a server-side concern but it plays an important role in the overall performance of your website, so you should take some time to improve it.

The main factor under your control when it comes to TTFB is server processing time. Therefore you can try some of the tips recommended by Google to improve TTFB :. A TTFB below ms is considered great.

The ms to ms range is considered normal and okay. A TTFB consistently higher than ms will need to be investigated. And Sematext Experience can help you with that along with monitoring other Web Vitals metrics as well.

This ties into the previous point about minimizing time to first byte. You should look into upgrading the hosting service plan or if you are using WordPress, consider using a managed service that is well known for stable and high-performance hosting.

You should enable gzip compression on your HTTP servers. Gzip compression minimizes the size of HTTP responses for certain file types. It is usually used for textual responses only.

This should reduce the load times and save on bandwidth. I already mentioned that you should try to load both JS and CSS in a single request for each. This is accomplished by minifying and combining separate JS and CSS files into single bundles.

Browsers have a limit on parallel network requests so if your website needs 3 requests in total to load, it will be most likely faster than if it had to load 30 different resources. Developers can use tools like webpack to have the convenience of using multiple files while developing the website and to have the performance benefit of a single bundle when deploying to production.

But in general, combining files means exactly that, all files are copied as-is into a single file. Minification is the process of optimizing the size of JavaScript and CSS files by removing or shortening symbols in the source code. The output is functionally equivalent, but not entirely human-readable.

What most optimized websites end up doing is first minifying JavaScript and CSS files and then combining them into single bundles.

That is called synchronous loading. It will continue parsing the page while the script is loaded. There are different prefetching and preloading techniques that you can use to give hints to the browser about which resources will be required to render the page before the browser actually needs those resources.

DNS prefetching. You can tell the browser that certain domain names will need to be resolved to an IP address before the browser actually sees resources from that domain name. This can seem like a small optimization, but it can make a difference when you have exhausted other techniques.

TCP preconnect. Much like the DNS prefetch method, preconnect will resolve the DNS but it will also make the TCP handshake, and optionally the TLS handshake. This should be reserved for when you really know that the next step a user will take is to go to a certain page.

You can instruct the browser to prerender the complete page, along with downloading all the required assets by specifying the URL like this:. Plugins are reusable pieces of functionality, usually used in content management systems like WordPress or other pre-built website platforms.

Plugins give website owners additional functionality such as analytics or the ability to leave comments on blog posts.

But plugins come at a cost. Each plugin will almost certainly load additional CSS and JavaScript files. Some plugins will increase the TTFB time as well because they require additional processing on the server for each page request.

So I would recommend going through your plugins list and making sure that you really need each plugin. You should delete any plugins that are not critical for your website. Caching is the process of saving a version of your files in a temporary storage location — a cache — that can be accessed faster.

How Performance Optimization Works Performance optimization utilizes various techniques and methodologies to enhance the efficiency of data processing and analytics. Why Performance Optimization is Important Performance optimization plays a vital role in maximizing the value and potential of data lakehouse environments.

Here are some reasons why it is important: Improved Data Processing Speed: Performance optimization techniques help organizations process and analyze data faster, enabling real-time or near-real-time decision-making. Enhanced User Experience: Faster query response times and reduced latency improve the overall user experience, allowing for more interactive and responsive data exploration.

Resource Efficiency: Performance optimization ensures optimal utilization of computing resources, minimizing costs and maximizing ROI. Scalability: By optimizing data workflows, performance optimization allows organizations to scale their data lakehouse environments to handle ever-increasing data volumes.

The Most Important Performance Optimization Use Cases Performance optimization is applicable to various use cases within a data lakehouse environment. Some key use cases include: Ad Hoc Analytics: Enabling users to run ad hoc queries on large datasets with minimal latency.

Real-time Data Exploration: Supporting interactive data exploration and visualization for immediate insights. Machine Learning: Optimizing data processing for training and inference in machine learning models. Streaming Analytics: Achieving real-time analytics on streaming data for time-sensitive decision-making.

Other Technologies or Terms Related to Performance Optimization Performance optimization is closely related to other technologies and terms in the data lakehouse ecosystem. Some of these include: Data Warehousing : Traditional data warehousing involves optimizing data storage and retrieval for structured data.

Data Pipelines : Efficiently processing and transforming data from various sources to the data lakehouse. Data Governance: Ensuring data quality , security, and compliance while optimizing performance.

Data Virtualization: Providing a unified view of data from disparate sources without physical data movement. Why Dremio Users Would be Interested in Performance Optimization Dremio is a powerful data lakehouse platform that enables organizations to leverage their data for analytics and insights.

Dremio users would be interested in performance optimization because it allows them to: Accelerate Query Performance: Optimize query execution to achieve faster insights. Handle Large Datasets: Efficiently process and analyze large volumes of data in real-time.

Improve Data Exploration: Facilitate interactive and exploratory data analysis for improved decision-making. Scale with Ease: Scale the Dremio platform to handle growing data volumes without sacrificing performance. Get Started Free No time limit - totally free - just the way you like it.

Sign Up Now. See Dremio in Action Not ready to get started today? See the platform in action. Watch Demo.

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