Dynatrace

NOVEMBER 4, 2022

When issues arise, teams can’t depend on these tools for quick resolutions, because data comparisons are difficult and contribute to delays. Overall, 53% of IT leaders say t he number of tools needed to monitor the end-to-end technology stack makes it difficult to operate efficiently. This process combines AI with security and operations.

Government 147

Government Analytics Cloud Storage 147

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

Dynatrace

DECEMBER 27, 2022

Dynatrace provides a centralized approach for establishing, instrumenting, and implementing SLOs that uses full-stack observability , topology mapping, and AI-driven analytics. Use SLO data to communicate with stakeholders and drive better business decisions.

Software 256

Software Software Benchmarking Latency 256

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 52

Analytics Social Media Serverless Cloud 52

Dynatrace

NOVEMBER 24, 2021

The built-in unified analysis pages offer real-time comparison of key performance indicators while applying a topology-first approach to the data. Simplified data analysis presented in topological context.

Network 203

Network Infrastructure Virtualization Metrics 203

Dynatrace

APRIL 8, 2022

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. Comparison of Kubernetes log ingestion via Fluentd and Dynatrace OneAgent. First and foremost, both approaches equally enrich Kubernetes logs with metadata for enhanced analytics.

Metrics 173

Metrics Analytics Software Architecture Open Source 173

The Netflix TechBlog

NOVEMBER 14, 2023

Audits like source-to-target count comparison and checking for no missing events in the target Iceberg snapshot ensure data integrity and completeness. The initialization step for Stateful Data Processing differs slightly from Stateless. Psyberg offers additional configurations according to the pipeline needs.

Processing 226

Processing Data Engineering Efficiency Analytics 226

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. Counters on each position are incremented.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Dynatrace

SEPTEMBER 22, 2021

In comparison, APM platforms provide a single integrated platform using AI and automation to deliver a precise, context-aware analysis of the application environment. If it delivers contextual insights powered by AI analytics and automation, organizations can gain even greater insight into application performance issues.

Innovation 197

Innovation Open Source Monitoring Infrastructure 197

Dynatrace

APRIL 8, 2022

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. Comparison of Kubernetes log ingestion via Fluentd and Dynatrace OneAgent. First and foremost, both approaches equally enrich Kubernetes logs with metadata for enhanced analytics.

Metrics 130

Metrics Analytics Software Architecture Open Source 130

Dynatrace

JANUARY 31, 2024

Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications. To observe model drift and accuracy, companies can use holdout evaluation sets for comparison to model data.

Cache 199

Cache Azure Infrastructure Monitoring 199

Dynatrace

DECEMBER 2, 2021

New analytics view for message queues. Log queries using comparison operators like `<` and `>` are now correctly rejected as unsupported. (APM-329649). Single value visualization: Tiles can now show the value trend (based on the first and last datapoints of the selected timeframe). Dynatrace API. APM-334052). APM-333006).

Lambda 186

Lambda Azure Metrics Monitoring 186

The Morning Paper

DECEMBER 13, 2020

The point of blocking is to reduce the number of comparisons that have to be made later on – the key idea is that any two entity descriptions that have a chance of referring to the same real-world entity should end up in the same block under at least one of the blocking keys. More sophisticated methods may also split and merge blocks.

Big Data 83

Big Data Open Source Processing Analytics 83

Smashing Magazine

OCTOBER 24, 2023

Analytics is a good example. Writing a hand-spun analytics tracking dashboard isn’t what my clients really want to pay me for, so I’ll drop in the ol’ Google Analytics script and maybe never think of it again. It’s “single-threaded,” which is how we get the one-way street comparison. Credit: Brandon Nelson on Unsplash.

Google 90

Google Analytics Traffic Metrics 90

HammerDB

JUNE 27, 2022

The TPC designed benchmarks for transaction processing (OLTP) and analytics (OLAP) and anyone can run these benchmarks, have them audited by the TPC and published on the official benchmark rankings. When testing database performance there are 2 distinct workloads, transactional or OLTP and analytic (data warehouse, decision support) or OLAP.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Percona

MARCH 17, 2023

Percona’s co-Founder Peter Zaitsev wrote a detailed post about migration from Prometheus to VictoriaMetrics , One of the most significant differences in terms of performance of PMM2 comes with the usage for VM, which can also be derived from performance comparison on node_exporter metrics between Prometheus and VictoriaMetrics.

Monitoring 98

Monitoring Scalability Cache Database 98

Speed Curve

OCTOBER 25, 2023

Third parties add tons of value by increasing conversions (via targeting beacons) and helping you understand your users in unprecedented ways (via analytics tags). Track third parties These days it's common to see pages with dozens of third-party scripts. But they can significantly affect how – or even if! – your page renders.

Benchmarking 62

Benchmarking Metrics Website Monitoring 62

Speed Curve

MAY 9, 2023

While we definitely get excited about emerging metrics, we also approach each new metric with an analytical eye. The following is a comparison of FID and INP at the 75th percentile for Mobile and Desktop for RUM data collected from SpeedCurve. When it comes to new performance metrics, it's easy to jump on hype-fuelled bandwagons.

Metrics 96

Metrics Google Mobile Analytics 96

Dynatrace

OCTOBER 23, 2023

In a conclusion meeting, you share a comparison of the current state against the initial state using the historical snapshots you saved. Multiple report snapshot saved After a couple of months, the work is completed, and the production environment is “green” since all the relevant vulnerabilities were resolved.

Efficiency 204

Efficiency Best Practices Tuning Internet 204

Percona

JUNE 4, 2023

In this blog, we’ll provide a comparison between MariaDB vs. MySQL (including Percona Server for MySQL ). MariaDB vs. MySQL vs Percona Server for MySQL: General Comparisons MariaDB, MySQL, and Percona Server for MySQL are all very popular choices for relational database management systems. In-development for MySQL 8.0 (now

Open Source 52

Open Source Servers Storage Scalability 52

Apica

JUNE 22, 2022

Here’s a brief comparison of each type, along with some pros and cons: Manual Testing. In short, manual testing is best suited to the following areas/scenarios: Exploratory Testing: This type of testing requires the tester’s knowledge, experience, analytical/logical skills, creativity, and intuition. Automated Testing.

Software 52

Software Software Testing Best Practices 52

Testsigma

JULY 31, 2021

It comes with highly customizable reports and an analytics dashboard so you can track and enhance your test and team performance. It’s equipped with an analytics and reports dashboard that offers real-time test performance results; you can monitor team development and user activity to obtain actionable insights. Signup now.

Testing 52

Testing Testing Tools Analytics Java 52

Dynatrace

MAY 28, 2020

This opens up new analytics use case to e.g: This time focusing on “Average Failure Rate split by Test Names” and from here start my comparison with the previous test: Test comparison also starts with multidimensional analysis: Select a test step and see how it compares to a previous test run. test name, test step.

Engineering 187

Engineering Performance Metrics Best Practices 187

MachMetrics

OCTOBER 31, 2020

Visual Comparison. WebPageTest allows you to compare your site directly to a competitors with their Visual Comparison tool! These range from Google Fonts, analytics, and tracking, to ad servers, to social media widgets, and beyond. Who are your competitors in your website’s niche? Single Point of Failure (SPOF) Test.

Social Media 52

Social Media Website Speed Google 52

Testsigma

JUNE 26, 2021

Analytics & reports: Fetches real-time test performance results; lets you monitor team development and user activity to derive actionable insights. Analytics dashboard: Generates reports for analyzing test reports, statistics, etc. Analytics & reports: Perfecto sends out insightful reports after every run.

Testing Tools 52

Testing Tools Testing Analytics Mobile 52

Percona

MARCH 30, 2023

For example, an analytics application would work best with unstructured image files stored in a non-relational graph database. Comparison of open source databases This section provides one-on-one comparisons of popular open source database software. The intent is not to pick winners, but to identify similarities and differences.

Open Source 75

Open Source Database Storage Scalability 75

Testsigma

MARCH 12, 2021

This makes the overall analytics highly accurate and the analytics data can then be referred for planning for future business goals and investments. But still, even though we know both of these phenomena as individual processes, the differences and comparison between them are a little cloudy. What is Test Automation?

Artificial Intelligence 97

Artificial Intelligence Testing Energy Analytics 97

Testsigma

OCTOBER 15, 2021

Analytics & reports: Testsigma’s reports and analytics dashboard is highly customizable. Analytics & reports: Katalon’s analytics and reports dashboard can be customized as per your priorities. Analytics & reports: You can generate extensive performance and analytics reports on your test efficiency.

Testing 52

Testing Testing Tools Analytics Website 52

Dynatrace

OCTOBER 28, 2019

Third-party content can include ads, analytics, widgets, and other scripts. Here too, you can use charts to visualize data comparisons between two timeframes. They can make your website more dynamic, but they can also make it slower. Third-party content can have a huge impact on how long your customers stay on your site.

Website 102

Website Metrics Tuning Analytics 102

Smashing Magazine

MARCH 2, 2021

After all, when we look at our analytics, we will hardly find any customers browsing our sites or apps with a mid-range device on a flaky 3G connection. You can check the mobile view of your website in a side by side comparison view with mirrored interactions and touch support. That might come a little bit unexpected. Large preview ).

Mobile 133

Mobile Testing Website Benchmarking 133

Highly Scalable

JUNE 5, 2012

At GridDynamics, we recently worked on a custom database for realtime web analytics where fast intersection of very large lists of IDs was a must for good performance. In this example, we need 5 comparisons to process two lists of 12 elements each. return count; }.

C++ 102

C++ Java Performance Testing Efficiency 102

Rigor

MAY 15, 2018

seconds, resulting in an increased YoY conversion rate of 96%: Rigor comparison report of DJS’ performance improvements from November to December 2017 using the customer selected performance metrics. Our team reworked their tests to monitor the flows identified as most critical in Google Analytics. million).

Performance 40

Performance Ecommerce Analytics Metrics 40

The Morning Paper

SEPTEMBER 8, 2019

I’ve been excited about the potential for approximate query processing in analytic clusters for some time, and this paper describes its use at scale in production. In total, the clusters store a few exabytes of data and are primarily responsible for all of the batch analytics at Microsoft. VLDB’19. Approximate query support.

Big Data 57

Big Data Analytics Latency Azure 57

Dynatrace

JANUARY 23, 2020

Using the Davis assistant for comparison and benchmarking. Creating dashboards highlighting business analytics of each deployment. My session will cover various options, such as: Tagging different deployments. Utilizing our API to send deployment information to Dynatrace. Customer story.

Performance 35

Performance Benchmarking Innovation DevOps 35

Adrian Cockcroft

FEBRUARY 13, 2023

Provides comparison of inference workload on P4dn GPU instances vs. AWS Trainium saving 92% energy and 90% cost, and training workload on P4dn vs. AWS Inferentia 2.6x shorter training time, saving 54% energy and 75% cost.

AWS 64

AWS Energy Architecture Programming 64

Testsigma

MAY 26, 2021

According to CIO Dive , data-driven organizations have at least a 58 percent of chances to meet their revenue goals in comparison to non-data-driven organizations. Creating a culture of relying on data adds immense value and lets us interpret data into real, actionable insights. But more than anything, data offers clarity.

Testing 59

Testing Testing Tools Metrics Code 59

The Morning Paper

OCTOBER 22, 2019

About half (18) used programming as their primary means of exploring data, and the remainder used visual analytics tools or a mix of tools and programming. Reason #1 is interesting in as much as if you go looking hard enough you’re bound to find something, as in the well-known multiple-comparisons problem. EDA in practice: motivations.

Programming 40

Programming Software Engineering Database Analytics 40