Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 184

Analytics Artificial Intelligence Big Data Open Source 184

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. Redis®, a powerful in-memory data store, is no exception.

Strategy 130

Strategy Monitoring Latency DevOps 130

Testsigma

NOVEMBER 11, 2020

Network Disconnections. Network disconnection is a common automation challenge that a QA team faces wherein they find it hard to access databases, VPN, third party services, APIs, specific testing environments, etc. due to unstable network connections. Test Script Issues. Upfront Investment.

Testing 85

Testing Mobile Network Analytics 85

Dynatrace

FEBRUARY 25, 2020

We introduced Digital Business Analytics in part one as a way for our customers to tie business metrics to application performance and user experience, delivering unified insights into how these metrics influence business milestones and KPIs. A sample Digital Business Analytics dashboard. Dynatrace news.

Analytics 206

Analytics Metrics Best Practices Servers 206

Apica

NOVEMBER 15, 2019

Legacy performance testing platforms have their place and are still required to ensure past investments can be monitored. Support a wide variety of devices and application types –The platform should be optimized to support multiple devices, implementations, and Operating Systems. The short answer is that they aren’t.

Performance Testing 40

Performance Testing Testing Performance Games 40

Dynatrace

AUGUST 24, 2020

Observability and monitoring as a source of truth. Traces help find the flow of a request through a distributed system. To provide actionable answers monitoring systems store, baseline, and analyze telemetry data. Based on this analysis, these systems can take actions such as alerting or remediation.

Analytics 237

Analytics Infrastructure AWS Operating System 237

Scalegrid

FEBRUARY 8, 2024

Handling Large Volumes of Data Distributed storage systems employ the technique of data sharding or partitioning to handle immense quantities of information. By breaking up large datasets into more manageable pieces, each segment can be assigned to various network nodes for storage and management purposes.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JUNE 1, 2020

Application Performance Monitoring (APM) in its simplest terms is what practitioners use to ensure consistent availability, performance, and response times to applications. Websites, mobile apps, and business applications are typical use cases for monitoring. Performance monitoring. Application monitoring. Dynatrace news.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

Dynatrace

MAY 17, 2023

The next level of observability: OneAgent In the first two parts of our series, we used OpenTelemetry to manually instrument our application and send the telemetry data straight to the Dynatrace analytics back end. OneAgent is the native telemetry data collector and monitoring solution of Dynatrace.

Metrics 168

Metrics Monitoring Database Network 168

All Things Distributed

JANUARY 19, 2011

Flexibility is one of the key principles of Amazon Web Services - developers can select any programming language and software package, any operating system, any middleware and any database to build systems and applications that meet their requirements. Driving down the cost of Big-Data analytics. Comments ().

AWS 115

AWS Cloud Java Operating System 115

Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. Networking. Built-in monitoring. Needs third party tools for monitoring. Needs third party tools for monitoring. Kubernetes vs Docker Swarm. Kubernetes.

Open Source 298

Open Source Traffic DevOps Cloud 298

Dynatrace

AUGUST 24, 2020

Observability and monitoring as a source of truth . Traces help find the flow of a request through a distributed system . To provide actionable answers monitoring systems store, baseline, and analyze telemetry data. Based on th is analysis , these systems can take actions such as alerting or remediation.

Analytics 134

Analytics Infrastructure AWS Operating System 134

Dotcom-Montior

NOVEMBER 24, 2021

There was a time when standing up a website or application was simple and straightforward and not the complex networks they are today. Web developers or administrators did not have to worry or even consider the complexity of distributed systems of today. Great, your system was ready to be deployed. What is a Distributed System?

Systems 74

Systems Monitoring Hardware Network 74

Scalegrid

JANUARY 12, 2024

This is sometimes referred to as using an “over-cloud” model that involves a centrally managed resource pool that spans all parts of a connected global network with internal connections between regional borders, such as two instances in IAD-ORD for NYC-JS webpage DNS routing. This also aids scalability down the line.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Smashing Magazine

OCTOBER 31, 2023

And when discussing the two types of data, we’re actually talking about what is called real-user monitoring , or RUM for short. For example, the data is pretty slow to update, refreshing every 28 days, meaning it is not the same as real-time monitoring. But it comes with caveats. Does Lighthouse Use RUM Data, Too?

Speed 97

Speed Google Website Metrics 97

Dynatrace

OCTOBER 17, 2022

This makes developing, operating, and securing modern applications and the environments they run on practically impossible without AI. CloudOps: Applying AIOps to multicloud operations. It triggers the fault-tree analysis, so you begin analyzing with the monitored entity to which the metric belongs — the application.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

Dynatrace

JUNE 1, 2020

Application Performance Monitoring (APM) in its simplest terms is what practitioners use to ensure consistent availability, performance, and response times to applications. Websites, mobile apps, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Artificial Intelligence 181

Artificial Intelligence Social Media Monitoring IoT 181

Dynatrace

NOVEMBER 22, 2022

Instead, to speed up response times, applications are now processing most data at the network’s perimeter, closest to the data’s origin. With so many variables in modern application delivery, organizations need an always-on infrastructure to deliver continuous system availability, even under peak loads. Automate IT operations.

Infrastructure 179

Infrastructure Availability Systems Retail 179

Dotcom-Montior

OCTOBER 19, 2021

A typical SRE is busy automating, cleaning up code, upgrading servers, and continually monitoring dashboards for performance, etc., Kubernetes is used to manage many containers at the same time, helping to upgrade applications without interrupting service to users as well as monitor the overall health of applications. Prometheus.

Engineering 86

Engineering Open Source Programming Monitoring 86

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dotcom-Montior

FEBRUARY 19, 2022

A typical SRE is busy automating, cleaning up code, upgrading servers, and continually monitoring dashboards for performance, etc., Kubernetes is used to manage many containers at the same time, helping to upgrade applications without interrupting service to users as well as monitor the overall health of applications. Prometheus.

Engineering 52

Engineering Open Source Programming Monitoring 52

HammerDB

NOVEMBER 30, 2018

It is of note that we have not discussed the operating system yet, that is because the source code and the code included with the pre-packaged versions is identical whether it is running on Linux or Windows on x86-64 architecture (or any other platform). Analytic workloads, currently TPC-H related build and driver.

Architecture 40

Architecture Virtualization Open Source C++ 40

Smashing Magazine

NOVEMBER 15, 2021

This section features terminals, multiplexers, console emulators, mobile terminals, and command-line workspaces that you can use to replace the default terminal app on your system. eDEX-UI is a fullscreen, cross-platform terminal emulator and system monitor heavily inspired by science fiction movie UIs, in particular, the Tron: Legacy film.

Development 133

Development Google Storage Open Source 133

Testsigma

FEBRUARY 12, 2021

The growing demand for IoT-testing is the government’s gradual acceptance of smart cities’ concept, which is why businesses are keen to incorporate IoT into their networks. The DevOps workflow is strongly connected to continuous monitoring activities aimed to maximise the consistency of the product and eliminate corporate risk.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Smashing Magazine

JANUARY 7, 2019

Testing And Monitoring. To get accurate results and goals though, first study your analytics to see what your users are on. Good for raising alarms and monitoring changes over time, not so good for understanding user experience. Getting Ready: Planning And Metrics. Setting Realistic Goals. Defining The Environment. Quick Wins.

Performance 103

Performance Cache Metrics Network 103

High Scalability

NOVEMBER 25, 2019

To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. When it goes to production you would monitor it using the various internal tools like New Relic/Grafana, Kibana and if there is a regression you would fix it. Document store.

Architecture 52

Architecture Cache Azure Storage 52