Dynatrace

APRIL 10, 2023

Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. Rural lifestyle retail giant Tractor Supply Co. ” Three years ago, Tractor Supply Co.

Cloud 164

Cloud Ecommerce Performance Retail 164

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Take a look at how integrated data analytics can help client applications. The Challenges with Parallel Queries.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

NOVEMBER 28, 2022

Lambda then takes a snapshot of the memory and disk state of the initialized execution environment, persists the encrypted snapshot, and caches it for low-latency access. Simplify error analytics. With SnapStart enabled, function code is initialized once when a function version is published. Optimize timing hotspots.

Lambda 215

Lambda AWS Serverless Latency 215

Dynatrace

DECEMBER 13, 2023

This can be achieved by reducing the size of files or images, using caching, and compressing data. Minimizing the number of network requests that your app makes can improve performance by reducing latency and improving load times. Optimize images and videos.

Best Practices 188

Best Practices Mobile Metrics Performance 188

High Scalability

FEBRUARY 17, 2021

This is guest post by Sachin Sinha who is passionate about data, analytics and machine learning at scale. Application example: user profile cache, where profiles are constructed elsewhere (e.g., Author & founder of BangDB. Workload C: Read only. This workload is 100% read.

Benchmarking 308

Benchmarking Latency C++ Database 308

High Scalability

JANUARY 11, 2022

We can use cloud technologies such as Amazon Kinesis or Azure Stream Analytics for collecting, processing, and analyzing real-time, streaming data to get timely insights and react quickly to new information(e.g. We will use a cache having an LRU based eviction policy for caching user feeds of active users. Streaming Data Model.

Design 334

Design Media Storage Logistics 334

Dynatrace

DECEMBER 21, 2023

Implement appropriate caching layers (for example, read-only cache for static data). Reduce the volume of data volumes requested from databases (for example, request all, filter in memory). Reduce inter-process communications overhead. Implement intelligent retry and failover processes.

Cloud 200

Cloud Energy Best Practices Cache 200

Dynatrace

DECEMBER 20, 2021

Improved analytic context. While data analysis tools such as Google Analytics provide statistics based on user experiences, they lack details about what the user is doing and experiencing. Streamlined asset caching: Asset caching is critical for creating accurate replays. Ready to master session replay? Sign up here.

Mobile 238

Mobile Website Analytics Cache 238

Percona

JUNE 22, 2023

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. query cache: Disable (query_cache_size: 0, query_cache_type:OFF) innodb_adaptive_hash_index: Check adaptive hash index usage to determine its efficiency.

Performance 106

Performance Monitoring Traffic Database 106

Dynatrace

MARCH 22, 2023

For these, it’s important to turn off auto-completing forms, encrypt data both in transit and at rest with up-to-date encryption techniques, and disable caching on data collection forms. In addition, analyze data from a unified observability view that provides contextualized application security analytics.

Open Source 188

Open Source Artificial Intelligence Internet Internet 188

Smashing Magazine

SEPTEMBER 20, 2021

We explore how you can use web analytics or real user measurement data on your website to get insight into any imposter domains re-publishing your work. A better approach is to use the data you are already collecting with your web analytics or R eal U ser M easurement ( RUM ) services. Search Engine And Web Archive Cached Results.

Website 89

Website Analytics Google Cache 89

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. Emerging in the early 2000s, the first such platforms provided distributed caching on clustered servers with straightforward APIs for storing and retrieving in-memory objects.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Percona

MARCH 17, 2023

Please note that the focus of these tests was around standard metrics gathering and display, we’ll use a future blog post to benchmark some of the more intensive query analytics (QAN) performance numbers. VictoriaMetrics maintains an in-memory cache for mapping active time series into internal series IDs.

Monitoring 103

Monitoring Scalability Database Cache 103

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 238

AWS Efficiency Azure Cloud 238

Dynatrace

MAY 17, 2023

Because OpenTelemetry is a set of protocols, definitions, and SDKs, it does not provide that ability, so it needs an analytics back end. This level of granularity, down to individual parts of our code, assists us when we troubleshoot code or performance issues and provides detailed insight.

Metrics 172

Metrics Open Source Traffic Cache 172

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. Emerging in the early 2000s, the first such platforms provided distributed caching on clustered servers with straightforward APIs for storing and retrieving in-memory objects.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Brendan Gregg

APRIL 14, 2022

The Netflix stack is more diverse than I was expecting, and is explained in detail in the [Netflix tech blog]: The production cloud is AWS EC2, Ubuntu Linux, Intel x86, mostly Java with some Node.js (and other languages), microservices, Cassandra (storage), EVCache (caching), Spinnaker (deployment), Titus (containers), Apache Spark (analytics), Atlas (..)

Java 145

Java Cloud Cache AWS 145

The Netflix TechBlog

MARCH 5, 2019

the order of the rows on your Netflix home page, issuing content licenses when you click play, finding the Open Connect cache closest to you with the content you requested, and many more). People Analytics Can we support AB experiments related to recruiting and help improve candidate experience as well as attract solid talent?

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

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 82

Cache Government Traffic Network 82

KeyCDN

DECEMBER 8, 2022

Many factors affect the speed of your WordPress website; some of them are: Your web host Server-side optimizations (PHP version, compression, caching, etc.) Configure cache to optimize your website Caching is a complex technology with many layers. Traditionally, most WordPress hosts manage the caching.

Cache 52

Cache Website Speed Website Performance 52

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. REDIS for caching. 3 Log Analytics. If you want to learn more about log analytics, check out my YouTube tutorial on Log Analytics and look out for our product team’s blog on log analytics. Full-stack observability. End-to-end code-level tracing. Service mash insights.

AWS 127

AWS Monitoring Ecommerce Lambda 127

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. We love what we do and care about doing good in the world.

Healthcare 122

Healthcare Best Practices DevOps Cache 122

Official Blog - World Web Technology

MARCH 4, 2024

It controls content delivery networks (CDNs), advanced caching, and other optimization procedures. It offers strong analytics capabilities, marketing automation, scalability, multichannel experience support, and content management. It also ensures optimal performance even during high traffic.

Website 59

Website Development Education Traffic 59

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. Driving down the cost of Big-Data analytics.

Cloud 117

Cloud Cache AWS Scalability 117

ScaleOut Software

NOVEMBER 24, 2020

It sends messages over the cell network to the telematics system, which uses its compute servers (that is, web and application servers) to store incoming messages as snapshots in an in-memory data grid , also known as a distributed cache. This enables them to answer questions such as: “Where is truck 7563?

Analytics 52

Analytics Architecture Scalability Software Architecture 52

Dean Hume

APRIL 24, 2018

Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. They allow you to cache resources on the user's device when they visit your site for the first time. This is where service workers can make a difference. Show me the money!

Energy 40

Energy Cache Traffic Website 40

Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130

Cache Storage Scalability Architecture 130

Tim Kadlec

APRIL 12, 2020

The cache hit was very low (a topic for another day), and whenever the server had to provide a fresh version of the page, it was taking an unacceptably long time more often than not. As it turns out, it was for an analytics service the company was no longer using. We didn’t have to go through the trouble, though.

Cache 69

Cache Tuning Network Servers 69

MachMetrics

APRIL 24, 2019

If you use analytics software from a third party, like Google Analytics, these will show up as marks on PageSpeed Insights. Yes, Google is marking us down for using their own analytics tools. Another reason no one should buy into thinking you must have a score of 100, is that often it’s rarely possible in the real world.

Speed 111

Speed Best Practices Google Website 111

Dean Hume

APRIL 24, 2018

Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. They allow you to cache resources on the user's device when they visit your site for the first time. This is where service workers can make a difference. Show me the money!

Energy 40

Energy Cache Traffic Website 40

Dean Hume

APRIL 24, 2018

Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. They allow you to cache resources on the user's device when they visit your site for the first time. This is where service workers can make a difference. Show me the money!

Energy 40

Energy Cache Traffic Website 40

Dynatrace

NOVEMBER 5, 2019

Digital Experience Monitoring (DEM) – A fully integrated DEM enables monitoring of the end-user experience for your applications while also providing data for business-level analytics. Dynatrace does this by querying Azure monitor APIs to collect platform metrics.

Azure 135

Azure Artificial Intelligence Metrics Innovation 135

Brendan Gregg

APRIL 14, 2022

The Netflix stack is more diverse than I was expecting, and is explained in detail in the Netflix tech blog : The production cloud is AWS EC2, Ubuntu Linux, Intel x86, mostly Java with some Node.js (and other languages), microservices, Cassandra (storage), EVCache (caching), Spinnaker (deployment), Titus (containers), Apache Spark (analytics), Atlas (..)

Java 52

Java Cache Cloud AWS 52

Smashing Magazine

JANUARY 15, 2019

It seems to have become more-or-less ubiquitous on the web for everyone to analyze what their website’s visitors do via tools like Google Analytics, KISSmetrics, Piwik, etc. While I have no doubt that there are legitimate use cases, do we really need analytics on every website? Let’s Not Forget The Basics.

Website Performance 73

Website Performance Website Energy Performance 73

Smashing Magazine

NOVEMBER 2, 2021

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. To specify, users can continue using those parts of the site that were cached if the Internet connection is unstable or when offline. Large preview ).

Code 74

Code Cache Retail Mobile 74

SQL Performance

NOVEMBER 18, 2019

Memory optimized – High memory-to-CPU ratio, relational database servers, medium to large caches, and in-memory analytics. For a real production test, this should be large enough to help avoid hitting cache. Compute optimized – High CPU-to-memory ration, medium traffic web servers and application servers.

Azure 76

Azure Benchmarking Storage Virtualization 76

ACM Sigarch

MARCH 18, 2019

Analytic models—including simple ones like Amdahl’s Law —represent a third, often underused, evaluation method that can provide insight for both practice and research, albeit with less accuracy. For example, how many buffers must a cache have to record outstanding misses if it receives 2 memory references per cycle at 2.5

Systems 60

Systems Latency Performance Analytics 60