Dynatrace

FEBRUARY 4, 2025

Its AI-driven exploratory analytics help organizations navigate modern software deployment complexities, quickly identify issues before they arise, shorten remediation journeys, and enable preventive operations. AI-driven analytics transform data analysis, making it faster and easier to uncover insights and act.

Analytics 130

Analytics Efficiency DevOps Innovation 130

Dynatrace

FEBRUARY 15, 2023

But to be scalable, they also need low-code/no-code solutions that don’t require a lot of spin-up or engineering expertise. With the Dynatrace modern observability platform, teams can now use intuitive, low-code/no-code toolsets and causal AI to extend answer-driven automation for business, development and security workflows.

Code 264

Code DevOps Cloud Analytics 264

Dynatrace

DECEMBER 2, 2024

Clearly, continuing to depend on siloed systems, disjointed monitoring tools, and manual analytics is no longer sustainable. It should also be possible to analyze data in context to proactively address events, optimize performance, and remediate issues in real time.

Artificial Intelligence 258

Artificial Intelligence DevOps Architecture Cloud 258

Dynatrace

AUGUST 14, 2023

As user experiences become increasingly important to bottom-line growth, organizations are turning to behavior analytics tools to understand the user experience across their digital properties. Here’s what these analytics are, how they work, and the benefits your organization can realize from using them.

Analytics 246

Analytics Social Media Website IoT 246

Dynatrace

OCTOBER 30, 2023

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

Best Practices 290

Best Practices Analytics Artificial Intelligence Infrastructure 290

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 264

Analytics Monitoring DevOps Artificial Intelligence 264

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. What are business events? This diagram shows a few examples of business events.

Analytics 246

Analytics Retail Storage Monitoring 246

Dynatrace

AUGUST 9, 2023

With up to 70% of security events going uninvestigated, security analysts need all the help they can get. After a security event, many organizations often don’t know for months (or even years) when why or how it happened. But this limited approach causes challenges in today’s hybrid multicloud reality.

Analytics 246

Analytics Metrics Database Storage 246

Dynatrace

FEBRUARY 28, 2024

Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. The next challenge is harnessing additional AI techniques to make exploratory data analytics even easier. Discovery using global search.

Analytics 246

Analytics Metrics Media Monitoring 246

Dynatrace

MARCH 11, 2020

In many cases, events are generated as these workloads go through different phases of their life cycles. For instance, events appear when the scheduler performs actions to bring workloads back to a desired state. For better or worse, every Kubernetes user learns about the CrashLoopBackOff and ImagePullBackOff events.

Metrics 277

Metrics Analytics Monitoring Cloud 277

Dynatrace

OCTOBER 4, 2022

IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. With a data and analytics approach that focuses on performance without sacrificing cost, IT pros can gain access to answers that indicate precisely which service just went down and the root cause. Event severity.

Analytics 246

Analytics Software Software Storage 246

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 246

Analytics Storage Retail DevOps 246

Dynatrace

AUGUST 29, 2024

Critical data includes the aircraft’s ICAO identifier , squawk code, flight callsign, position coordinates, altitude, speed, and the time since the last message was received. This information is essential for later advanced analytics and aircraft tracking.

IoT 264

IoT Analytics Transportation Metrics 264

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 245

Analytics Storage Retail DevOps 245

Dynatrace

AUGUST 9, 2023

Not only that, teams struggle to correlate events and alerts from a wide range of security tools, need to put them into context, and infer their risk for the business. In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts.

Analytics 246

Analytics AWS Infrastructure Strategy 246

Dynatrace

JANUARY 15, 2025

Vulnerabilities is our Dynatrace Runtime Vulnerability Analytics platform experience for detecting, visualizing, analyzing, monitoring, and remediating vulnerabilities across your application stack. Workflows can be triggered manually, on a schedule, or by events in Dynatrace, such as anomalies detected by Davis AI.

Systems 264

Systems DevOps Analytics Monitoring 264

Dynatrace

JANUARY 31, 2024

With siloed data sources, heterogeneous data types—including metrics, traces, logs, user behavior, business events, vulnerabilities, threats, lifecycle events, and more—and increasing tool sprawl, it’s next to impossible to offer users real-time access to data in a unified, contextualized view. Understanding the context.

Analytics 272

Analytics Processing Transportation Storage 272

Dynatrace

FEBRUARY 12, 2024

With unified observability and security, organizations can protect their data and avoid tool sprawl with a single platform that delivers AI-driven analytics and intelligent automation. Predictive AI, meanwhile, makes predictions about future events based on patterns from historical data.

Analytics 245

Analytics Artificial Intelligence Engineering Technology 245

Dynatrace

FEBRUARY 24, 2025

But even the best BPM solutions lack the IT context to support actionable process analytics; this is the opportunity for observability platforms. Log files and APIs are the most common business data sources, and software agents may offer a simpler no-code option. These benefits come from robust process analytics, often augmented by AI.

Processing 147

Processing Analytics Infrastructure Monitoring 147

Dynatrace

JULY 24, 2023

They need event-driven automation that not only responds to events and triggers but also analyzes and interprets the context to deliver precise and proactive actions. These initial automation endeavors paved the way for greater advancements, leading to the next evolution of event-driven automation.

DevOps 246

DevOps Traffic Efficiency Servers 246

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says. Logs on Grail Log data is foundational for any IT analytics. Grail and DQL will give you new superpowers.”

Analytics 246

Analytics Innovation Metrics Database 246

Dynatrace

OCTOBER 4, 2024

Similar to the observability desired for a request being processed by your digital services, it’s necessary to comprehend the metrics, traces, logs, and events associated with a code change from development through to production. Code : The branch for the new feature in a GitHub repository is merged into the main branch.

Software 278

Software Software Development Performance 278

Dynatrace

MARCH 12, 2025

Amazon Bedrock , equipped with Dynatrace Davis AI and LLM observability , gives you end-to-end insight into the Generative AI stack, from code-level visibility and performance metrics to GenAI-specific guardrails. Any error codes or guardrail triggers. Distributed Tracing overview of an Amazon Bedrock request with LangChain.

Metrics 165

Metrics Serverless Analytics Innovation 165

CSS Wizardry

JUNE 30, 2023

Load and DOMContentLoaded are internal browser events—your users have no idea what a Load time even is. Equally, both DOMContentLoaded and Load aren’t just meaningless browser events, and once you understand what they actually signify, you can get some real insights as to your site’s runtime behaviour from each of them. That’s late!

Metrics 337

Metrics Google Code Monitoring 337

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. Logs represent event data in plain-text, structured or binary format. Further reading about Business Analytics : . Conclusion.

Analytics 305

Analytics Infrastructure AWS Operating System 305

Dynatrace

SEPTEMBER 8, 2022

In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. Event logging and software tracing help application developers and operations teams understand what’s happening throughout their application flow and system.

Cloud 260

Cloud Systems Analytics DevOps 260

Dynatrace

FEBRUARY 8, 2021

Logs and events play an essential role in this mix; they include critical information which can’t be found anywhere else, like details on transactions, processes, users and environment changes. Without user transactions and experience data, in relation to the underlying components and events, you miss critical context.

Cloud 264

Cloud Azure Analytics Open Source 264

Dynatrace

OCTOBER 4, 2022

These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. Data variety is a critical issue in log management and log analytics. where an error occurred at the code level.

Analytics 264

Analytics Storage Infrastructure Metrics 264

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. The challenge of cloud-native observability at the enterprise edge In aggregate, connected devices generate huge volumes of data.

Retail 306

Retail Storage Analytics Cloud 306

Dynatrace

APRIL 17, 2024

Perform is our company’s event once a year in Las Vegas, where our customers and partners visit us to learn more about our product and industry. However, it was my first time at Perform, and although I knew I would learn a thing or two in the next week, I was unaware of how beneficial taking part in this event would be.

Development 245

Development Performance Airlines Healthcare 245

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. This technique is shown in the code snippet below.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Dynatrace

APRIL 19, 2024

Automate disk resizing operations with Davis AI predictive analytics The Dynatrace Site Reliability Engineering (SRE) team was looking for a way to automatically adjust disk space for cloud volumes on a regular basis to avoid over- or under-provisioning them. Hyperscaler security events are ingested into Grail as BizEvents.

AWS 264

AWS Analytics Cloud Monitoring 264

Dynatrace

FEBRUARY 15, 2023

A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Because events in cloud-native environments take place instantaneously, and there is so much data to digest, IT and operations teams often can’t identify problems before customers experience them.

Analytics 130

Analytics Storage Cloud DevOps 130

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 290

Artificial Intelligence Analytics Storage Architecture 290

Dynatrace

AUGUST 8, 2024

As recent events have demonstrated, major software outages are an ever-present threat in our increasingly digital world. Software bugs Software bugs and bad code releases are common culprits behind tech outages. These issues can arise from errors in the code, insufficient testing, or unforeseen interactions among software components.

Software 290

Software Software Infrastructure Network 290

Dynatrace

FEBRUARY 1, 2024

From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous. By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.”

Artificial Intelligence 246

Artificial Intelligence Analytics Efficiency Database 246

Dynatrace

DECEMBER 12, 2023

As they continue on this path, organizations expect other benefits , from enabling business users to easily customize dashboards (54%) to building interactive queries for analytics (48%). For example, 73% of technology leaders are investing in AI to generate insight from observability, security, and business events data.

Artificial Intelligence 276

Artificial Intelligence DevOps Analytics Strategy 276