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 286

Analytics Metrics Servers Best Practices 286

Dynatrace

JANUARY 22, 2025

As more organizations embrace DevOps and CI/CD pipelines, GitHub-hosted runners and GitHub Actions have emerged as powerful tools for automating workflows. Automating GitHub runner data ingestion with Dynatrace workflows Workflows within the Dynatrace SaaS platform are a robust tool for automating complex processes.

Monitoring 242

Monitoring DevOps Metrics Virtualization 242

Dynatrace

NOVEMBER 18, 2024

As enterprises embrace more distributed, multicloud and applications-led environments, DevOps teams face growing operational, technological, and regulatory complexity, along with rising cyberthreats and increasingly demanding stakeholders.

Strategy 243

Strategy Innovation Cloud Efficiency 243

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. Data volume explosion in multicloud environments poses log issues.

Analytics 264

Analytics Storage Infrastructure Metrics 264

Dynatrace

APRIL 9, 2025

The need for application and DevOps modernization to deliver on business outcomes has never been greater. Starting in May, selected customers will get to experience all the latest Dynatrace platform features, including the Grail data lakehouse, Davis AI, and unrivaled log analytics, on Google Cloud. Dynatrace AutomationEngine.

Google 195

Google Cloud Analytics Infrastructure 195

Dynatrace

APRIL 25, 2023

Drowning under endless data? Having access to large data sets can be helpful, but only if organizations are able to leverage insights from the information. These analytics can help teams understand the stories hidden within the data and share valuable insights. and only they have access.” and only they have access.”

Analytics 246

Analytics Big Data Media Operating System 246

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. Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical.

Cloud 279

Cloud Lambda AWS Analytics 279

Dynatrace

MARCH 18, 2021

DevOps metrics and digital experience data are critical to this. Breaking down the silos between IT and operations to form a DevOps team, and then extending this to other departments to achieve BizDevOps, has been central to reaching this goal. Dynatrace news. Security integration. The desire is to see the end-to-end journey.

DevOps 264

DevOps Metrics Virtualization Strategy 264

Dynatrace

FEBRUARY 16, 2023

How do you get more value from petabytes of exponentially exploding, increasingly heterogeneous data? The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.

Analytics 246

Analytics Innovation Metrics Database 246

Dynatrace

FEBRUARY 9, 2021

This leaves DevOps teams with the cumbersome task of having to manually identify user struggles and troubleshoot errors. How do I solve issues quickly while meeting every regional data privacy regulation? Most monitoring tools lack stringent data privacy controls, which could impact the data privacy of end-users.

Analytics 276

Analytics Mobile Performance Monitoring 276

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

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

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior.

DevOps 246

DevOps Engineering Artificial Intelligence Infrastructure 246

Dynatrace

FEBRUARY 2, 2023

Should business data be part of your observability solution? Technology and business leaders express increasing interest in integrating business data into their IT observability strategies, citing the value of effective collaboration between business and IT.

Analytics 246

Analytics Metrics DevOps Storage 246

Dynatrace

JANUARY 15, 2025

This need is amplified by an increasingly complex regulatory and compliance landscape, where global standards demand stringent measures to protect data, ensure service continuity, and mitigate risks. Navigating these regulations while maintaining high performance and security standards is challenging.

Systems 264

Systems DevOps Analytics Monitoring 264

Dynatrace

SEPTEMBER 5, 2023

Predictive AI uses machine learning, data analysis, statistical models, and AI methods to predict anomalies, identify patterns, and create forecasts. By analyzing patterns and trends, predictive analytics helps identify potential issues or opportunities, enabling proactive actions to prevent problems or capitalize on advantageous situations.

Artificial Intelligence 279

Artificial Intelligence DevOps Analytics Engineering 279

Dynatrace

FEBRUARY 18, 2020

On the other side of the organization, application owners have hired teams of analysts to dig through web analytics tools to gain insights into the customer experience. Welcome to Dynatrace Digital Business Analytics. What does this mean and how can you unlock Digital Business Analytics? Digital Business Analytics in action.

Analytics 272

Analytics Retail Metrics Mobile 272

Dynatrace

JANUARY 31, 2024

I have ingested important custom data into Dynatrace, critical to running my applications and making accurate business decisions… but can I trust the accuracy and reliability?” ” Welcome to the world of data observability. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 272

DevOps Analytics Airlines Metrics 272

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. Though the industry champions observability as a vital component, it’s become clear that teams need more than data on dashboards to overcome persistent DevOps challenges. How critical is the vulnerability?

DevOps 246

DevOps Traffic Efficiency Servers 246

Dynatrace

DECEMBER 16, 2021

Service-level objectives (SLOs) are a great tool to align business goals with the technical goals that drive DevOps (Speed of Delivery) and Site Reliability Engineering (SRE) (Ensuring Production Resiliency). Dynatrace provides several ways to ingest data from external data sources. Dynatrace news. Mobile Crashes. Availability.

DevOps 246

DevOps Social Media Mobile Metrics 246

DZone

MARCH 8, 2024

However, the 2024 State of Observability report from Dynatrace reveals that the explosion of data generated by these complex ecosystems is pushing traditional monitoring and analytics approaches to their limits. They enable developers, engineers, and architects to drive innovation, but they also introduce new challenges."

Analytics 331

Analytics Innovation DevOps Architecture 331

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion. Log management and analytics have become a particular challenge. Data explosion hinders better data insight.

Cloud 245

Cloud Artificial Intelligence Innovation Architecture 245

Dynatrace

OCTOBER 3, 2024

Considering the latest State of Observability 2024 report, it’s evident that multicloud environments not only come with an explosion of data beyond humans’ ability to manage it. It’s increasingly difficult to ingest, manage, store, and sort through this amount of data. You can find the list of use cases here.

Performance 290

Performance Architecture Innovation Latency 290

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations. Digital transformation shows no signs of slowing down.

Efficiency 306

Efficiency Performance Analytics DevOps 306

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights? And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data?

Performance 246

Performance DevOps Innovation Energy 246

Dynatrace

APRIL 6, 2022

Full-stack observability is the ability to determine the state of every endpoint in a distributed IT environment based on its telemetry data. A full-stack observability solution uses telemetry data such as logs, metrics, and traces to give IT teams insight into application, infrastructure, and UX performance. Watch webinar now!

DevOps 303

DevOps Innovation Infrastructure Cloud 303

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 246

Software Software Analytics Big Data 246

Dynatrace

APRIL 19, 2023

Creating an ecosystem that facilitates data security and data privacy by design can be difficult, but it’s critical to securing information. When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration.

Design 246

Design Storage Programming Analytics 246

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. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events.

Cloud 260

Cloud Systems Analytics DevOps 260

Dynatrace

DECEMBER 13, 2023

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. Data indicates these technology trends have taken hold.

Technology 264

Technology Technology Artificial Intelligence Analytics 264

Dynatrace

AUGUST 10, 2021

is Dynatrace’s regional roadshow that gives APAC’s leading CIOs, CDOs, Cloud Architects, IT Operations, DevOps, SRE, and AIOps professionals access to live keynotes and breakout learning sessions with local technical experts to accelerate their digital transformation. We’ve all heard it: data is one of your biggest assets.

DevOps 246

DevOps Innovation Big Data Cloud 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

Dynatrace

MARCH 16, 2022

Over the last year, Dynatrace extended its AI-powered log monitoring capabilities by providing support for all log data sources. We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks.

Metrics 246

Metrics Lambda Infrastructure Monitoring 246

Dynatrace

OCTOBER 14, 2022

Log data provides a unique source of truth for debugging applications, optimizing infrastructure, and investigating security incidents. This contextualization of log data enables AI-powered problem detection and root cause analysis at scale. Dynamic landscape and data handling requirements result in manual work.

Storage 278

Storage Government Network Infrastructure 278

Dynatrace

JUNE 15, 2021

Through the RUM data, Dynatrace’s AI engine, Davis, detected seven users were impacted by the outage when they tried to access the Web Interface. Besides real user analytics, we also use Dynatrace Synthetic Monitoring , which continuously validates successful logins to our SaaS tenants on each cluster. Availability Zone) outages.

AWS 246

AWS Traffic Architecture Azure 246

Dynatrace

APRIL 21, 2022

While applications are built using a variety of technologies and frameworks, there is one thing they usually have in common: the data they work with must be stored in databases. In enterprise environments, DevOps and SRE teams struggle to optimize and troubleshoot databases and the applications they support at scale. Dynatrace news.

Database 246

Database DevOps Analytics Servers 246

Dynatrace

DECEMBER 15, 2022

2: Observability, security, and business analytics will converge as organizations strive to tame the data explosion. It’s also the exponential volumes of additional data, which can be harnessed to gain better observability, enhanced security, and deeper business insights. Observability trend no. Observability trend no.

Artificial Intelligence 279

Artificial Intelligence Analytics Innovation Healthcare 279