Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. It’s also common for teams, as part of their log monitoring practice, to write business metrics to a log that can then be tracked on a dashboard or trigger an alert.

Analytics 211

Analytics Storage Retail Monitoring 211

Dynatrace

APRIL 11, 2023

Dynatrace ‘DevSecOps Lifecycle Coverage with Snyk’ eliminates security coverage blind spots – blog DevSecOps Lifecycle Coverage with Snyk, a new app developed with Dynatrace® AppEngine, enables teams to mitigate security risks across pre-production and production environments, including runtime vulnerability detection, blocking, and remediation.

Cloud 183

Cloud DevOps Open Source Retail 183

Dynatrace

AUGUST 10, 2023

But existing business intelligence (BI) tools often lack the broad context, ease of data access, and real-time insights needed to understand and improve customer experience and complex business processes. The key challenges include: Business data is often difficult to access, resulting in fragile data pipelines.

Database 130

Database Metrics Retail Analytics 130

Dynatrace

APRIL 30, 2021

As e-commerce experiences become more sophisticated and we all rely on them more and more, observability for e-commerce applications and the clouds they run on has become more critical than ever to retailers’ success. When the site is slow, if the checkout process is not working, you might choose to buy somewhere else.

Retail 240

Retail Cloud Monitoring Hardware 240

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. It’s also common for teams, as part of their log monitoring practice, to write business metrics to a log that can then be tracked on a dashboard or trigger an alert.

Analytics 178

Analytics Storage Retail Monitoring 178

Dynatrace

APRIL 9, 2020

Here, I want to demonstrate how some of our Dynatrace customers in LATAM are using our platform to adapt, change and improve their processes to confront this unique situation with case study examples from various industries: 1. The post LATAM COVID-19 readiness appeared first on Dynatrace blog.

Retail 174

Retail Government Infrastructure Mobile 174

Dotcom-Montior

JANUARY 18, 2018

Retailers Still Fail to Prepare Websites for Holiday Shoppers Monitoring of Retailer’s Websites during Black Friday holiday shopping. Black Friday is one of the most valuable times for retailers across the world because buyers shop until they drop. I tried to keep it simple and focus on meaningful monitoring results.

Retail 40

Retail Website Monitoring Servers 40

Rigor

FEBRUARY 15, 2018

Whether it be time, money, or technical know how, every day we talk to eCommerce and Retail teams who explain why they aren’t monitoring their site’s performance. You don’t have the time to monitor something that affects your company’s revenue and almost every online metric your business cares about ? Conclusion.

Ecommerce 40

Ecommerce Retail Performance Benchmarking 40

Dynatrace

AUGUST 14, 2020

However, despite Marketing teams using the Adobe Experience Cloud ID to identify troublesome user sessions to pass along, the IT and App teams still have no idea how to search for this in their monitoring and troubleshooting tools. Real-world example: Retail banking.

Analytics 264

Analytics Cloud Retail Monitoring 264

Dynatrace

JUNE 30, 2020

Some of these patterns can be planned for , such as peak seasons for travel and retail industries, while others are entirely spontaneous to the business. T his leads to a manual, and often painful, process to map out multi-tier service dependencies. .

Retail 210

Retail Cloud Metrics Efficiency 210

Dynatrace

APRIL 22, 2020

While most government agencies and commercial enterprises have digital services in place, the current volume of usage — including traffic to critical employment, health and retail/eCommerce services — has reached levels that many organizations have never seen before or tested against. Step 5: Automate the Fix and Make It Repeatable.

Traffic 204

Traffic Ecommerce Retail Government 204

Dynatrace

OCTOBER 7, 2020

Topology metrics are related to specific entities in your Smartscape topology (for example, the number of successful and failed batch jobs processed by a host). Non-topology metrics are not related to any Smartscape entity (for example, a retailer’s revenue numbers per store). Choose your monitoring strategy (i.e.,

Metrics 244

Metrics Analytics Storage Monitoring 244

Dynatrace

NOVEMBER 20, 2020

Simon leveraged Dynatrace to understand Premier Farnell’s customer behaviours a lot better – so much so that when the pubs re-opened up the team could literally see it unfold in real-time in their monitoring! Head of engineering at one of our home improvement retail customers. Users are changing faster than ever before.

Ecommerce 132

Ecommerce Retail Virtualization Innovation 132

Dynatrace

JUNE 5, 2020

Thanks to the ease of deployment, the time-to-value for monitoring of such complex environments is very short. Like any other software, OneAgents need to be maintained, updated, and monitored. Over 50 of the largest Dynatrace customers—from finance, retail, and government verticals—have so far participated in the Preview.

Speed 132

Speed Retail Virtualization Monitoring 132

Dynatrace

JULY 13, 2020

DevOps and Continuous delivery: R evolution in the process, the way people and organizations delivering software work . To this, they responded that as they were in the fashion retail business , they weren’t doing containers and didn’t think they’ll ever make it to become cloud-native. Cloud-native? Conclusion .

Google 132

Google Ecommerce DevOps Cloud 132

Dynatrace

JULY 13, 2020

DevOps and Continuous delivery: R evolution in the process, the way people and organizations delivering software work . To this, they responded that as they were in the fashion retail business , they weren’t doing containers and didn’t think they’ll ever make it to become cloud-native. Cloud-native? Conclusion .

Google 130

Google Ecommerce DevOps Cloud 130

ScaleOut Software

AUGUST 25, 2020

This blog post explains how a software application built with a new software construct called real-time digital twins makes this possible. As illustrated in the first diagram, each real-time digital twin hosts two components, state data and a message-processing method. The message-processing method’s code is shared by all twins.

Airlines 52

Airlines Mobile Analytics C++ 52

ScaleOut Software

AUGUST 25, 2020

This blog post explains how a software application built with a new software construct called real-time digital twins makes this possible. As illustrated in the first diagram, each real-time digital twin hosts two components, state data and a message-processing method. The message-processing method’s code is shared by all twins.

Airlines 52

Airlines Mobile Analytics C++ 52

Speed Curve

JULY 3, 2023

And if that already wasn’t enough, the number of images on a page has been linked to lower conversion rates on retail sites. Those businesses perhaps have more awareness of the importance of performance optimization, along with the resources to monitor and tackle performance issues. More on that later.)

Mobile 52

Mobile Google Metrics Retail 52

Smashing Magazine

SEPTEMBER 20, 2021

For example, someone might web scrape all the product pages of a competitor’s retail site to harvest information about products being offered and current pricing to try to gain a competitive edge. They all generally are instrumented as JavaScript processes that are loaded onto your site’s web pages through a tag or snippet of loader code.

Website 89

Website Analytics Google Cache 89

Testsigma

JUNE 26, 2021

Globally, organizations across banking, retail, automotive, healthcare, etc., Picture Credit: GDS blog. Apart from scaling the testing process, you can evaluate risk areas with a codeless testing platform and test them thoroughly. for the next five years. amongst others will embark on automation. Picture Credit: Zeus.ai.

Testing 57

Testing Testing Tools Automotive Scalability 57

All Things Distributed

NOVEMBER 8, 2012

Rich client can prefetch batches of incoming messages, so that your application can process the new messages immediately once its through with a current batch. For example, Netflix uses SQS for a variety of use-cases such as monitoring and encoding workflows. s Chief Architect Adrian Cockcroft blogged â??Simple Contact Info.

Efficiency 104

Efficiency Cloud Games Scalability 104

SQL Performance

JULY 16, 2019

A close monitoring of the hardware enthusiast community, including many of the most respected hardware analysts and reviewers paints an even more dire picture about Intel in the server processor space. Intel officially moved on to what they call " Process- Architecture-Optimization (PAO) " in early 2016.

Servers 46

Servers Hardware Architecture Retail 46

Rigor

NOVEMBER 1, 2018

Emily is the VP of Engineering for UGG, an American footwear and activewear retail company. Emily understands that performance metrics are closely tied to checkout rates and cart size , so she has started monitoring her site for performance. Scenario: Through the Lens of Visual Metrics Alone. UGG Website Homepage. UGG Product Page.

Metrics 40

Metrics Social Media Website Retail 40

Rigor

NOVEMBER 1, 2018

Emily is the VP of Engineering for UGG, an American footwear and activewear retail company. Emily understands that performance metrics are closely tied to checkout rates and cart size , so she has started monitoring her site for performance. Scenario: Through the Lens of Visual Metrics Alone. UGG Website Homepage. UGG Product Page.

Metrics 40

Metrics Social Media Website Retail 40

All Things Distributed

SEPTEMBER 3, 2013

Since you now have lots of choices to address your high performance database needs, I decided to write this blog to help you select the most appropriate services for your workload using lessons I have learnt by scaling the infrastructure for Amazon.com. For features that need data structures like sorted sets (e.g.,

Cache 129

Cache Cloud Performance Retail 129