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 194

Analytics Strategy Storage Technology 194

Dynatrace

OCTOBER 4, 2022

For example, users generate user data, ecommerce sites generate business data, and service portals generate service desk tickets and call volume data. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. The next frontier: Data and analytics-centric software intelligence.

Analytics 196

Analytics Software Software Storage 196

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 220

Analytics Storage Retail Monitoring 220

Dynatrace

AUGUST 9, 2023

In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts. Procedures describe the specific technical details that an adversary used to carry out an attack, for example, what script they ran to exploit a weakness.

Analytics 201

Analytics AWS Strategy Infrastructure 201

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 214

Analytics Monitoring Artificial Intelligence DevOps 214

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. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

FEBRUARY 2, 2023

Exploding volumes of business data promise great potential; real-time business insights and exploratory analytics can support agile investment decisions and automation driven by a shared view of measurable business goals. Traditional observability solutions don’t capture or analyze application payloads.

Analytics 207

Analytics Metrics DevOps Storage 207

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 186

Analytics Storage Retail Monitoring 186

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. Current analytics tools are fragmented and lack context for meaningful analysis. Effective analytics with the Dynatrace Query Language.

Analytics 240

Analytics Artificial Intelligence Storage Serverless 240

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 181

Analytics Ecommerce Metrics Innovation 181

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 189

Systems Cloud Analytics DevOps 189

The Netflix TechBlog

SEPTEMBER 18, 2020

Analytics at Netflix: Who We Are and What We Do An Introduction to Analytics and Visualization Engineering at Netflix by Molly Jackman & Meghana Reddy Explained: Season 1 (Photo Credit: Netflix) Across nearly every industry, there is recognition that data analytics is key to driving informed business decision-making.

Analytics 240

Analytics Engineering Data Engineering Tuning 240

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

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. The example below includes analysis of a payment issue.

Analytics 229

Analytics Cloud Java Serverless 229

Dynatrace

MARCH 12, 2024

The business process observability challenge Increasingly dynamic business conditions demand business agility; reacting to a supply chain disruption and optimizing order fulfillment are simple but illustrative examples. Locked away in disparate systems, difficult to access, and with different formats, business data can be days or weeks old.

Processing 256

Processing Monitoring Analytics C++ 256

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. In the screenshot below you can see an example of such a request attribute.

Analytics 139

Analytics Mobile Airlines Monitoring 139

Dynatrace

OCTOBER 7, 2020

Topology metrics are related to specific entities in your Smartscape topology (for example, the number of successful and failed batch jobs processed by a host). Non-topology metrics are not related to any Smartscape entity (for example, a retailer’s revenue numbers per store). This metric dimension was automatically added by OneAgent.

Metrics 246

Metrics Analytics Storage Monitoring 246

Dynatrace

APRIL 19, 2024

Let’s explore some real-life custom solution examples that leverage the power of the Dynatrace core platform technologies to go beyond observability. With hundreds of teams, distributed systems, and terabytes of log data, this is a daunting task. Figure 3: Funnel analysis implemented by selecting a custom user journey.

AWS 226

AWS Analytics Cloud Monitoring 226

Dynatrace

MAY 21, 2024

Realizing that executives from other organizations are in a similar situation to my own, I want to outline three key objectives that Dynatrace’s powerful analytics can help you deliver, featuring nine use cases that you might not have thought possible. Change is my only constant.

Technology 206

Technology Technology Analytics Storage 206

Dynatrace

DECEMBER 21, 2023

In fact, most business processes still rely on multiple systems, long ago outgrowing the capabilities of built-in platform-centric monitoring. IT teams lack insight into how the systems they manage impact business outcomes. This leaves business leaders with incomplete visibility into these critical business assets.

Processing 218

Processing Monitoring Retail Analytics 218

Dynatrace

SEPTEMBER 5, 2023

Technology and operations teams work to ensure that applications and digital systems work seamlessly and securely. Predictive AI uses statistical algorithms and other advanced machine learning techniques to anticipate what might happen next in a system. Predictive analytics can anticipate potential failures and security breaches.

Artificial Intelligence 267

Artificial Intelligence DevOps Analytics Engineering 267

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. On the one hand, they provide system risk alerts and help engineers quickly locate root causes in troubleshooting. Logs often take up the majority of a company's data assets.

IoT 130

IoT Analytics Network Database 130

Dynatrace

DECEMBER 13, 2023

For example, DevOps teams will combine generative AI with fact-based causal and predictive AI to supercharge digital innovation by predicting and preventing issues before they occur and generating new workflows to automate the software delivery lifecycle. 2: AI-generated code will create the need for digital immune systems.

Technology 208

Technology Technology Artificial Intelligence Analytics 208

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

DZone

SEPTEMBER 26, 2023

If your environment is like many others, it can often seem like your systems produce logs filled with a bunch of excess data. 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

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. Solution : Like the freshness example, Dynatrace can monitor the record count over time.

DevOps 198

DevOps Analytics Airlines Metrics 198

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

APRIL 18, 2024

Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior. For example, an observability solution can track and analyze usage data to help engineers understand how and when to scale resources based on system demand.

DevOps 196

DevOps Engineering Artificial Intelligence Infrastructure 196

Dynatrace

AUGUST 10, 2023

Dynatrace business events address these systemic problems, delivering real-time business observability to business and IT teams with the precision and context required to support data-driven decisions and improve business outcomes. In both examples, we used Dynatrace OneAgent® deep payload inspection to capture business data in motion.

Database 231

Database Metrics Retail Analytics 231

Dynatrace

JANUARY 18, 2023

Business events are a special class of events, new to Business Analytics; together with Grail, our data lakehouse, they provide the precision and advanced analytics capabilities required by your most important business use cases. This diagram shows a few examples of business events. Example business events from anywhere.

Analytics 232

Analytics Retail Storage Monitoring 232

Dynatrace

FEBRUARY 9, 2024

Recent platform enhancements in the latest Dynatrace, including business events powered by Grail™, make accessing the goldmine of business data flowing through your IT systems easier than ever. Business events can come from many sources, including OneAgent®, external business systems, RUM sessions, or log files.

Processing 195

Processing Monitoring Analytics Games 195

Dynatrace

OCTOBER 6, 2023

For example, a separate bucket could be used for detailed logs from Dynatrace Synthetic nodes. Suppose a single Grail environment is central storage for pre-production and production systems. For example, transaction data and user-profile logs might need to be retained for 12 or 18 months.

Artificial Intelligence 266

Artificial Intelligence Analytics Metrics Storage 266

Dynatrace

FEBRUARY 1, 2024

By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.” Performance analytics Dynatrace hypermodal AI empowers development teams to dig deep into database statements and remediate issues quickly. But contextual analytics don’t stop here. “AI

Artificial Intelligence 191

Artificial Intelligence Analytics Efficiency Database 191

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. It requires an understanding of cloud architecture and distributed systems, with the goal of automating processes. Were there attack attempts?

Analytics 190

Analytics Java Infrastructure Cloud 190

Dynatrace

AUGUST 28, 2023

Let’s shift our focus to the backend systems and business processes, the behind-the-scenes heroes of end-to-end customer experience. Solutions such as inventory management, order management, and delivery optimization can introduce new challenges: System integration. Technology to the rescue? Multi-channel logistics.

Retail 208

Retail Logistics Innovation Analytics 208

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 281

Efficiency Performance Analytics DevOps 281

Dynatrace

SEPTEMBER 14, 2022

With digital systems growing exponentially in size and complexity, industry trends like AIOps and DevSecOps are becoming the norm for application performance m onitoring (APM) and observability tools such as Dynatrace. Why today’s data analytics solutions still fail us. They become bloated and harder to learn and use.

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Metrics Analytics Monitoring Efficiency 234