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 209

Analytics Metrics Best Practices Servers 209

Dynatrace

MAY 3, 2024

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. Take the example of Amazon Virtual Private Cloud (VPC) flow logs, which provide insights into the IP traffic of your network interfaces.

Cloud 257

Cloud Lambda AWS Analytics 257

Dynatrace

FEBRUARY 9, 2021

Traditional network-based approaches and other point solutions are unable to provide integrated visibility into modern cloud application environments. How do I connect the dots between mobile analytics and performance monitoring? Connect the dots between mobile analytics and performance monitoring with mobile business analytics.

Analytics 211

Analytics Mobile Performance Monitoring 211

CSS Wizardry

NOVEMBER 9, 2018

In this post I want to look at how CSS can prove to be a substantial bottleneck on the network (both in itself and for other resources) and how we can mitigate it, thus shortening the Critical Path and reducing our time to Start Render. This is best illustrated with an example. Employ Critical CSS. it can often be a net loss.

Network 278

Network Performance Media Cache 278

DZone

MAY 19, 2023

Examples of logs include business logs (such as user activity logs) and Operation and Maintenance logs of servers, databases, and network or IoT devices. Logs often take up the majority of a company's data assets. Logs are the guardian angel of business.

IoT 130

IoT Analytics Network Database 130

DZone

SEPTEMBER 26, 2023

Since you need to access multiple components (servers, databases, network infrastructure, applications, etc.) We'll talk about best practices and habits and use some of the Log Analytics tools from Sumo Logic as examples. Let’s blast off and turn that cosmic trash into treasure!

Best Practices 249

Best Practices Analytics Infrastructure Network 249

Dynatrace

MARCH 18, 2024

Now, developers can build software libraries and use OpenTelemetry to add tracing and telemetry directly into them so an observability analytics backend, such as Dynatrace, can consume the data immediately. With deep analytics of traces from Dynatrace, developers have data in full context, which helps them easily debug instrumentation issues.

Scalability 268

Scalability Open Source Analytics Innovation 268

Dynatrace

NOVEMBER 6, 2023

As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. Moreover, edge environments can be highly dynamic, with devices frequently joining and leaving the network.

Retail 264

Retail Analytics Storage Cloud 264

Dynatrace

DECEMBER 13, 2023

Mobile applications (apps) are an increasingly important channel for reaching customers, but the distributed nature of mobile app platforms and delivery networks can cause performance problems that leave users frustrated, or worse, turning to competitors. Load time and network latency metrics. Proactive monitoring.

Best Practices 203

Best Practices Mobile Metrics Performance 203

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 17, 2023

Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. The data is stored with full context, which enables AI to deliver precise answers with speed and analytics to give rich insights with efficiency. 5) in the Gartner report.

Monitoring 231

Monitoring Artificial Intelligence Performance Analytics 231

Dynatrace

APRIL 13, 2023

Log auditing is a cybersecurity practice that involves examining logs generated by various applications, computer systems, and network devices to identify and analyze security-related events. for example, query web server logs from the past year for specific attack strings containing ). Were there attack attempts?

Analytics 190

Analytics Java Infrastructure Cloud 190

Dynatrace

JULY 25, 2023

This expansion of Davis AI complements the proven Dynatrace predictive AI model (for example, forecasting and anomalies) and our causal AI model (for example, determination of a problem’s root cause, security risks, user impact, and steering automation), which are at the core of the Dynatrace platform.

Best Practices 237

Best Practices Analytics Metrics Code 237

Dynatrace

SEPTEMBER 8, 2022

While logging is the act of recording logs, organizations extract actionable insights from these logs with log monitoring, log analytics, and log management. Comparing log monitoring, log analytics, and log management. It is common to refer to these together as log management and analytics.

Systems 189

Systems Cloud Analytics DevOps 189

Dynatrace

FEBRUARY 1, 2024

For example, an unnoticed database strain could slow down the response time of a web frontend, resulting in poor user experience. For the most granular metrics and network insights, OneAgent is the optimal choice. To overcome these complex issues, teams must quickly find root causes among numerous alerts and metrics.

Infrastructure 186

Infrastructure Metrics Network Monitoring 186

Dynatrace

JUNE 27, 2023

We hear from our customers how important it is to have a centralized, quick, and powerful access point to analyze these logs; hence we’re making it easier to ingest AWS S3 logs and leverage Dynatrace Log Management and Analytics powered by Grail.

AWS 204

AWS Cloud Lambda Analytics 204

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? To understand why we need real-time digital twins for streaming analytics, we first need to look at what problems are tackled by popular streaming platforms.

Analytics 69

Analytics Azure Processing Speed 69

Dynatrace

JUNE 5, 2023

The F5 BIG-IP Local Traffic Manager (LTM) is an application delivery controller (ADC) that ensures the availability, security, and optimal performance of network traffic flows. Example of an automatically generated dashboard for F5 instances. Example F5 overview dashboard. Example F5 overview dashboard.

Traffic 200

Traffic Virtualization Metrics Monitoring 200

Scalegrid

FEBRUARY 8, 2024

By breaking up large datasets into more manageable pieces, each segment can be assigned to various network nodes for storage and management purposes. These systems safeguard against the risk of data loss due to hardware failure or network issues by spreading data across multiple nodes.

Storage 130

Storage Systems Big Data Azure 130

CSS Wizardry

DECEMBER 9, 2023

A trivial performance optimisation to help speed up third-party or other-origin requests is to preconnect them: hint that the browser should preemptively open a full connection ( DNS , TCP , TLS ) to the origin in question, for example: In the right circumstances, this simple, single line of HTML can make pages hundreds of milliseconds faster !

Speed 234

Speed Network Analytics Availability 234

Scalegrid

DECEMBER 14, 2023

MongoDB drivers provide several options for Mongo clients to handle different network timeout errors that may occur during usage. For example, your payment history might be on one database cluster and your analytics records on another cluster. Knowing about these types of timeouts is essential for mastering MongoDB usage.

Java 130

Java Network Servers Database 130

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For example, if an application is storing shopping carts, it might be useful to find all shopping carts with a total value that exceeds a specified threshold so that these shoppers can be given special attention. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

APRIL 26, 2022

With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings. STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables).

Monitoring 209

Monitoring Social Media IoT Metrics 209

Dynatrace

JULY 24, 2023

Conventional data science approaches and analytics platforms can predict the correlation between an event and possible sources. Causal AI draws on supporting data, such as relationships, dependencies, and other context among network entities and events. For example, facial recognition, personal shopping, and predictive maintenance.

Artificial Intelligence 221

Artificial Intelligence Analytics Network Metrics 221

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For example, if an application is storing shopping carts, it might be useful to find all shopping carts with a total value that exceeds a specified threshold so that these shoppers can be given special attention. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

AUGUST 24, 2020

But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes. Synthetic Monitoring is used to simulate defined customer behavior, for example when opening a website and clicking a certain button. Digital Business Analytics.

Analytics 246

Analytics Infrastructure AWS Operating System 246

Dynatrace

JULY 25, 2022

This new service enhances the user visibility of network details with direct delivery of Flow Logs for Transit Gateway to your desired endpoint via Amazon Simple Storage Service (S3) bucket or Amazon CloudWatch Logs. AWS Transit Gateway is a service offering from Amazon Web Services that connects network resources via a centralized hub.

AWS 223

AWS Transportation Network Traffic 223

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. It’s apparent that the most important features for feed ranking will be related to social network. References.

Design 334

Design Media Storage Logistics 334

Dynatrace

JULY 11, 2023

Example forecast of remaining disk capacity with upper/lower bounds and an anticipated value. The example workflow below is triggered every Monday at 8:00 AM to provide a capacity report for all the disks that will likely run out of space within the next week. In this example, two parallel actions are defined.

Metrics 209

Metrics Games Analytics Network 209

Scalegrid

JANUARY 12, 2024

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. This also aids scalability down the line.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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. For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

AWS 252

AWS Efficiency Azure Cloud 252

Dynatrace

JANUARY 22, 2024

Most AI today uses association-based machine learning models like neural networks that find correlations and make predictions based on them. For example, machine learning can identify correlations in data and generate predictions, while causal AI determines which ones are the true drivers. However, correlation does not imply causation.

Artificial Intelligence 213

Artificial Intelligence Healthcare Retail Government 213

Dynatrace

SEPTEMBER 30, 2021

AWS Certified Advanced Networking – Specialty: Very experienced networking professionals who are also proficient in AWS can benefit from getting this certification. Data analytics. However, AWS recommends getting the AWS Certified Cloud Practitioner certificate or an equivalent Associate-level cert beforehand. Machine learning.

AWS 215

AWS Best Practices Analytics Cloud 215

CSS Wizardry

JUNE 30, 2023

Google Analytics Until recently , Google Analytics also surfaces DOMContentLoaded information. domContentLoadedEventStart And of course, we should be very used to seeing DOMContentLoaded at the bottom of DevTools’ Network panel: They’re some satisfying numbers. Only this time, we aren’t limited to just Chrome visits!

Metrics 326

Metrics Google Monitoring Analytics 326

Dynatrace

DECEMBER 9, 2020

For example, to address challenges like asynchronous communications or security and isolation in microservice architectures, organizations often introduce third-party libraries and frameworks like Hazelcast IMDG. OneAgent implements network zones to create traffic routing rules and limit cross data-center traffic. Dynatrace news.

Java 239

Java Traffic Strategy Architecture 239

Dynatrace

SEPTEMBER 21, 2023

The app’s advanced algorithms and real-time data analytics translate utilization metrics into their CO2 equivalent (CO2e). These metrics include CPU, memory, disk, and network I/O. Carbon Impact is an example of our contribution to making IT more energy-efficient and sustainable for everyone, even as AI is fueling the data explosion.

Energy 239

Energy Cloud Airlines Strategy 239

Dynatrace

FEBRUARY 16, 2023

More importantly, these tools are fundamentally backward-looking, lacking both the time and dimensional granularity required for carbon-emission analytics and optimization insights. Environmental sustainability emphasizes our collective responsibility to take action; for this, we need intelligence and analytics, not just historical reports.

Energy 188

Energy Airlines Analytics Transportation 188