Dynatrace

FEBRUARY 14, 2022

Mobile app monitoring and mobile analytics make this possible. By providing insight into how apps are operating and why they crash, mobile analytics lets you know what’s happening with your apps and what steps you can take to solve potential problems. What is mobile analytics? Why use mobile analytics and app monitoring?

Mobile 176

Mobile Analytics Monitoring Best Practices 176

Dynatrace

DECEMBER 18, 2020

Side note: it’s called “agentless,” because no OneAgent is running on the server that hosts the HTML, CSS, and JavaScript files. Now we have performance and errors all covered: Business Analytics. Digital Business Analytics can help answer those questions. How can I segment them? What are they using the app for?

Analytics 135

Analytics Metrics IoT Monitoring 135

Dynatrace

MARCH 29, 2024

Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing. By seamlessly integrating observability, AI-driven insights, and data analytics, organizations can overcome common obstacles such as operational inefficiencies, performance bottlenecks, and scalability concerns.

Google 258

Google Innovation Cloud Analytics 258

Dynatrace

FEBRUARY 9, 2021

As an application owner, product manager, or marketer, however, you might use analytics tools like Adobe Analytics to understand user behavior, user segmentation, and strategic business metrics such as revenue, orders, and conversion goals. Selecting one automatically fills out all fields. Enable the storage types, select Add property.

Analytics 137

Analytics Mobile Airlines Monitoring 137

DZone

OCTOBER 1, 2023

Elasticsearch is an open-source search engine and analytics store used by a variety of applications from search in e-commerce stores, to internal log management tools using the ELK stack (short for “Elasticsearch, Logstash, Kibana”).

Open Source 247

Open Source Tuning Analytics Scalability 247

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

Scalegrid

MAY 13, 2020

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

JANUARY 31, 2024

With PowerConnect, collecting data from SAP systems and fueling the Dynatrace platform, Dynatrace automatically uncovers the topology model of the SAP landscape, providing a clear and comprehensive view of the relationships and dependencies among different systems, servers, databases, applications, and interfaces.

Java 185

Java Analytics Best Practices Monitoring 185

Dynatrace

APRIL 21, 2022

Easily track the health and performance of database servers with AI support. To simplify database monitoring and improve cross-team collaboration, Dynatrace released new extensions to leading databases, including Oracle and Microsoft SQL Server. Enrich database performance KPIs with business analytics.

Database 239

Database DevOps Analytics Servers 239

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

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

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 221

Monitoring Artificial Intelligence Performance Analytics 221

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. These storage nodes collaborate to manage and disseminate the data across numerous servers spanning multiple data centers.

Storage 130

Storage Systems Big Data Azure 130

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Cache Airlines Scalability 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Ecommerce 52

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

NOVEMBER 3, 2023

address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0: Reporting and analytics assets out-of-the-box Bundles offered by Extensions 2.0 Analytical views are linked and embedded where they make the most sense from the observability perspective. Extensions 2.0

Technology 243

Technology Technology Scalability Availability 243

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. ActiveGate acts as a secure proxy and compresses and routes observability signals in an optimized manner to Dynatrace servers.

Retail 254

Retail Storage Analytics Cloud 254

Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. Key among these trends is the emphasis on security and intelligent analytics.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

OCTOBER 25, 2023

VMware Aria Operations for Logs (formerly known as vRealize Log Insight) is used across enterprises to collect logs and provide analytics. The Log Insight server stores relevant logs in the file /var/log/loginsight/runtime.log. The company recently announced a high-severity vulnerability in an earlier version of the tool.

Analytics 263

Analytics Operating System Code Servers 263

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., ” For just the YouTube Analytics application, we’re looking at metrics like this, with a 99%-ile latency of 412ms: Embedded statistics use cases include the various counters such as views, likes, and subscriptions that are included in pages.

Analytics 75

Analytics Latency Cache Google 75

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

MARCH 6, 2024

IBM i, formerly known as iSeries, is an operating system developed by IBM for its line of IBM i Power Systems servers. What is IBM i? It is based on the IBM AS/400 system and is known for its reliability, scalability, and security features.

Monitoring 231

Monitoring Infrastructure Metrics Analytics 231

Scalegrid

DECEMBER 14, 2023

On an abstract level, whenever you use MongoClient to connect, send, or receive a request, it internally uses predefined timeout options to decide how long the application will wait for an initial connection establishment or the response from the server for your request.

Java 130

Java Network Servers Database 130

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

Scalegrid

DECEMBER 21, 2023

Keeping a tab on memory usage provides additional insight into the health of operations running through Redis® servers. This Command Line Interface (CLI) can be used for basic activity metrics and offers powerful real-time data analysis tools, giving you more control over the performance of your servers.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

JULY 1, 2020

As Dynatrace is an all in one solution, you have multiple options to capture the needed data; you can use Real User Monitoring (RUM) properties , Server-side request attribute , and Log metrics. The multi-dimensional analytics in the screenshot below is an example. How to get campaign tracking started using Dynatrace Log Analytics?

Traffic 264

Traffic Analytics Metrics Servers 264

Dynatrace

JUNE 5, 2023

With its ability to handle SSL offloading, distribute traffic across multiple servers, and provide security features like DDoS protection, application firewall, and SSL VPN, organizations of all sizes rely on F5 BIG-IP LTM to improve application performance, availability, and security.

Traffic 190

Traffic Virtualization Metrics Monitoring 190

SQL Shack

MAY 27, 2020

In this article, we will explain batch mode on rowstore feature, which was announced with SQL Server 2019. The main benefit of this feature is that it improves the performance of analytical queries, and it also reduces the CPU utilization of these types of queries.

Servers 64

Servers Analytics Performance Performance Testing 64

Dynatrace

DECEMBER 4, 2023

Resource consumption: Observing computational resource availability and saturation, whether deployed in cloud-native environments like Kubernetes or CPU-enabled servers. Data quality and drift: Monitoring the quality and characteristics of training and runtime data to detect significant changes that might impact model accuracy.

Open Source 254

Open Source Metrics Latency Java 254

Dynatrace

JULY 24, 2023

Session replay is a more visual approach to understanding user behavior compared with traditional analytics tools that focus primarily on bounce rates, conversions, and page views. This private, personal information is then typically sent to third-party servers for recording and playback of the individual browsing session.

Analytics 188

Analytics Website Mobile Internet 188

Dynatrace

APRIL 13, 2023

for example, query web server logs from the past year for specific attack strings containing ). But with a platform approach to log analytics based on observability at a cloud-native scale, organizations can accomplish much more. Were there attack attempts? Are there any indicators of compromise?

Analytics 181

Analytics Java Cloud Infrastructure 181

Dynatrace

JUNE 1, 2021

In this blog, we’ll explore how Dynatrace Business Analytics gives you full visibility into payment errors affecting your user base, which enables you to see which payment errors are affecting your users, and how you can quantify the business impact. Make informed, real-time decisions to enable or disable different payment gateways.

Analytics 180

Analytics Servers Website Mobile 180

Scalegrid

JANUARY 20, 2020

Data Analytics. In most cases, the culprit turns out to be an analytics job that is accessing tons of data and ends up slowing down the entire system. Here are the two options we typically suggest: If the analytics job is running on the primary/master server, move it to a secondary/replica server. The best part?

Analytics 185

Analytics Storage Database Systems 185

Scalegrid

MARCH 28, 2024

Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. Redis Revealed: An Overview Redis, a renowned open-source, in-memory remote dictionary server, stands out for its diverse data structures and advanced features. Data transfer technology.

Cache 130

Cache Storage Architecture Scalability 130

Percona

DECEMBER 6, 2023

The PMM Dump performs a logical backup of the performance metrics collected by the PMM Server and imports them into a different PMM Server instance. PMM Dump allows you to share monitoring data collected by your PMM server securely with the Percona Support team. It will not collect query analytics data by default.

Monitoring 103

Monitoring Metrics Analytics Open Source 103

High Scalability

FEBRUARY 17, 2021

This is guest post by Sachin Sinha who is passionate about data, analytics and machine learning at scale. Redis Server: 5.07, x86/64. MongoDB server: 4.4.2, BangDB server: 2.0.0, Author & founder of BangDB. However, user can run the bench for as many numbers as they practically find suitable. About YCSB. Beta, x86_64.

Benchmarking 308

Benchmarking Latency C++ Database 308