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

Dynatrace

NOVEMBER 15, 2022

Following the launch of Dynatrace® Grail for Log Management and Analytics , we’re excited to announce a major update to our Business Analytics solution. It represents a significant enhancement to our previous Business Analytics capabilities, which emphasized the value and simplicity of business data captured from real user sessions.

Analytics 226

Analytics Mobile Metrics Games 226

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Limited data availability constrains value creation. Even in cases where all data is available, new challenges can arise.

Analytics 231

Analytics Artificial Intelligence Storage Serverless 231

Dynatrace

FEBRUARY 15, 2023

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Let Grail do the work, and benefit from instant visualization, precise analytics in context, and spot-on predictive analytics. You no longer need to split, distribute, or pre-aggregate your data.

Analytics 226

Analytics Social Media Metrics Efficiency 226

Dynatrace

JANUARY 11, 2023

To stay competitive in an increasingly digital landscape, organizations seek easier access to business analytics data from IT to make better business decisions faster. Organizations can uncover critical insights about customers, track the health of complex systems, or view sales trends. Teams derive business metrics from many sources.

Analytics 185

Analytics Strategy Storage Technology 185

Dynatrace

JULY 29, 2022

What is log analytics? 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. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 211

Analytics Storage Retail Monitoring 211

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

SEPTEMBER 1, 2022

Business analytics is a growing science that’s rising to meet the demands of data-driven decision making within enterprises. But what is business analytics exactly, and how can you feed it with reliable data that ties IT metrics to business outcomes? What is business analytics? Why business analytics matter.

Analytics 173

Analytics Ecommerce Metrics Innovation 173

Dynatrace

JULY 29, 2022

What is log analytics? 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. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 178

Analytics Storage Retail Monitoring 178

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Comparing log monitoring, log analytics, and log management. It is common to refer to these together as log management and analytics.

Systems 183

Systems Cloud Analytics DevOps 183

Dynatrace

NOVEMBER 18, 2021

Logs are a crucial component in the mix that help BizDevOps teams understand the full story of what’s happening in a system. By unifying log analytics with PurePath tracing, Dynatrace is now able to automatically connect monitored logs with PurePath distributed traces. How to get started. New to Dynatrace? Start your free trial!

Analytics 221

Analytics Cloud Java Serverless 221

Dynatrace

MAY 17, 2022

For years, enterprises managed observability data on a team-by-team basis , using a combination of ticketing systems and configuration management tools. The application consists of several microservices that are available as pod-backed services. Information about each of these topics will be available in upcoming announcements.

Availability 313

Availability Scalability Cloud Metrics 313

Dynatrace

MARCH 12, 2024

However, business processes can be inefficient, broken, or violate Service Level Objectives (SLOs) even when the underlying system’s health is good; a process is greater than the sum of its parts. Locked away in disparate systems, difficult to access, and with different formats, business data can be days or weeks old.

Processing 247

Processing Monitoring Analytics C++ 247

Dynatrace

SEPTEMBER 5, 2023

Technology and operations teams work to ensure that applications and digital systems work seamlessly and securely. They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. Through predictive analytics, SREs and DevOps engineers can accurately forecast resource needs based on historical data.

Artificial Intelligence 260

Artificial Intelligence DevOps Analytics Engineering 260

Dynatrace

OCTOBER 28, 2019

In this post, I wanted to share how I use Google Analytics together with Dynatrace to give me a more complete picture of my customers, and their experience across our digital channels. Google Analytics. Almost all marketers will be familiar with Google Analytics. Digital and Business Analytics. So we turned it off.

Google 147

Google Analytics Traffic Operating System 147

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. Common examples of data points that makes sense to have in many systems are: Session IDs.

Analytics 137

Analytics Mobile Airlines Monitoring 137

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 184

Software Software Analytics Big Data 184

Dynatrace

JANUARY 31, 2024

Monitoring SAP products can present challenges Monitoring SAP systems can be challenging due to the inherent complexity of using different technologies—such as ABAP, Java, and cloud offerings—and the sheer amount of generated data. SAP Basis teams have established best practices for managing their SAP systems.

Java 185

Java Analytics Best Practices Monitoring 185

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. It removes much of the guesswork of untangling complex system issues and establishes with certainty why a problem occurred. That’s where causal AI can help. Causal AI is particularly effective in observability. Timeliness.

Government 197

Government Analytics Benchmarking Storage 197

Dynatrace

DECEMBER 13, 2023

2: AI-generated code will create the need for digital immune systems. These challenges will drive organizations to develop digital immune systems that protect their software from the inside by ensuring code resilience by default. Technology prediction No. Technology prediction No.

Technology 200

Technology Technology Artificial Intelligence Analytics 200

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 4, 2022

Application and system logs are often collected in data silos using different tools, with no relationships between them, and then correlated in manual and often meaningless ways. Data variety is a critical issue in log management and log analytics. The advantage of an index-free system in log analytics and log management.

Analytics 217

Analytics Storage Infrastructure Metrics 217

Dynatrace

FEBRUARY 28, 2024

The importance of security in the modern automotive industry cannot be overstated, given modern manufacturing infrastructure, the digitization of in-car systems, the propagation of software, and the creation of new, fully digital mobility services.

Automotive 241

Automotive Infrastructure Analytics Innovation 241

IO River

NOVEMBER 2, 2023

What is 5 Nines Availability?In However, consumers often prioritize availability in many systems. Furthermore, there are many recognized standards to measure the availability of a service or system, and the most common one is to measure it as a percentage."Five This level of availability equates to only about 5.26

Availability 52

Availability Social Media Traffic Games 52

IO River

NOVEMBER 2, 2023

What is 5 Nines Availability?In However, consumers often prioritize availability in many systems. Furthermore, there are many recognized standards to measure the availability of a service or system, and the most common one is to measure it as a percentage."Five This level of availability equates to only about 5.26

Availability 52

Availability Social Media Traffic Games 52

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. It is based on the IBM AS/400 system and is known for its reliability, scalability, and security features. Some tools demand the installation of agents on those systems and provide complex, disconnected views.

Monitoring 231

Monitoring Infrastructure Metrics Analytics 231

DZone

FEBRUARY 1, 2023

Built on Azure Blob Storage, Azure Data Lake Storage Gen2 is a suite of features for big data analytics. For instance, Data Lake Storage Gen2 offers scale, file-level security, and file system semantics. Azure Data Lake Storage Gen1 and Azure Blob Storage's capabilities are combined in Data Lake Storage Gen2.

Azure 243

Azure Storage Big Data Analytics 243

Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. High-performance analytics—no indexing required.

Artificial Intelligence 264

Artificial Intelligence Analytics Storage Architecture 264

Dynatrace

JANUARY 31, 2024

Still, a single unmonitored host can become a weak link , causing system failures and security breaches. This includes the ability to tailor the observability and security coverage to the requirements of different application tiers and systems. Opting into Application Security provides protection with the flip of a switch.

Analytics 170

Analytics Infrastructure Monitoring Cloud 170

Dotcom-Montior

NOVEMBER 24, 2021

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. Once the system was deployed, to ensure everything was running smoothly, it only took a couple of simple checks to verify. What is a Distributed System?

Systems 74

Systems Monitoring Hardware Network 74

Dynatrace

JANUARY 31, 2024

Data observability involves monitoring and managing the internal state of data systems to gain insight into the data pipeline, understand how data evolves, and identify any issues that could compromise data integrity or reliability. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 192

DevOps Analytics Airlines Metrics 192

DZone

OCTOBER 11, 2022

Making Google’s CalDAV and CardDAV APIs available for everyone ( Google Developers Blog). Pandora launches new HTML5 site for TVs and gaming consoles, available now on PS3 and Xbox 360 ( The Next Web). Linux System Mining with Python ( Javalobby – The heart of the Java developer community). Java EE 7 is Final.

Java 244

Java Best Practices Google Analytics 244

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.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

SEPTEMBER 13, 2023

Many companies rely on Citrix as a critical component of their infrastructure that demands thorough observability and integrated analytics across the entire application landscape. Automated AI-powered analytics are necessary to match the scale of monitoring these enterprises require. Now, it’s available to all customers.

Monitoring 217

Monitoring Healthcare Infrastructure Metrics 217

Dynatrace

JULY 11, 2023

Without such a holistic view of system behavior and performance, organizations typically need to invest in separate instrumentation and integration efforts for each telemetry type, which brings additional overhead, costs, and complexity.

Open Source 211

Open Source Analytics Metrics Cloud 211

Dynatrace

FEBRUARY 1, 2024

But organizations must also be aware of the pitfalls of AI: security and compliance risks, biases, misinformation, and lack of insight into critical metrics (including availability, code development, infrastructure, databases, and more). But contextual analytics don’t stop here. “AI

Artificial Intelligence 182

Artificial Intelligence Analytics Efficiency Database 182

Dynatrace

OCTOBER 23, 2023

Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems. It enables multiple operating systems to run simultaneously on the same physical hardware and integrates closely with Windows-hosted services. This leads to a more efficient and streamlined experience for users.

Efficiency 210

Efficiency Virtualization Hardware Performance 210