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. Every journey matters, and we have to deliver on every single transaction.”.

DevOps 264

DevOps Metrics Virtualization Strategy 264

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 9, 2021

This leaves DevOps teams with the cumbersome task of having to manually identify user struggles and troubleshoot errors. How do I connect the dots between mobile analytics and performance monitoring? Connect the dots between mobile analytics and performance monitoring with mobile business analytics.

Analytics 276

Analytics Mobile Performance Monitoring 276

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

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

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. What’s next?

Analytics 246

Analytics Metrics DevOps Storage 246

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. Once the data is formatted, it is ingested into Dynatrace Business Analytics using the Dynatrace SDK.

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

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. Notebooks] is purposely built to focus on data analytics,” Zahrer said. “We

Analytics 246

Analytics Metrics Media Monitoring 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. Problems utilizes Davis AI to automatically analyze your system and detect abnormal behavior, such as performance or stability issues.

Systems 264

Systems DevOps Monitoring Analytics 264

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.

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’s RUM for Mobile Apps provides crash analytics by default. Creating an SLO dashboard for Business, DevOps, and SREs.

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.

Analytics 331

Analytics Innovation DevOps Architecture 331

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

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 306

Efficiency Performance Analytics DevOps 306

Dynatrace

APRIL 6, 2022

DevOps teams can also benefit from full-stack observability. With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting. How full-stack observability enhances IT and DevOps. Here are a few ways full-stack observability can benefit your IT and DevOps teams.

DevOps 303

DevOps Innovation Infrastructure Cloud 303

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. SREs and DevOps engineers need cloud logs in an integrated observability platform to monitor the whole software development lifecycle.

Cloud 279

Cloud Lambda AWS Analytics 279

Dynatrace

SEPTEMBER 5, 2023

By analyzing patterns and trends, predictive analytics helps identify potential issues or opportunities, enabling proactive actions to prevent problems or capitalize on advantageous situations. Through predictive analytics, SREs and DevOps engineers can accurately forecast resource needs based on historical data.

Artificial Intelligence 279

Artificial Intelligence DevOps Analytics Engineering 279

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

SEPTEMBER 8, 2022

While logging is the act of recording logs, organizations extract actionable insights from these logs with log monitoring, log analytics, and log management. Comparing log monitoring, log analytics, and log management. It is common to refer to these together as log management and analytics.

Cloud 260

Cloud Systems Analytics DevOps 260

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%). DevOps teams , for example, can focus on driving innovation instead of grinding through manual jobs.

Artificial Intelligence 276

Artificial Intelligence DevOps Analytics Strategy 276

Dynatrace

MARCH 21, 2024

Dynatrace observability, security, and data analytics capabilities empower users to derive greater insights and benefits from their monitoring data, ensuring they stay ahead in their mobile monitoring environments while offering similar feature parity to Visual Studio.

Mobile 245

Mobile Monitoring Analytics IoT 245

Dynatrace

FEBRUARY 15, 2023

A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Development and DevOps. Indeed, IT operations, security, and DevOps teams feel the strain of ever-growing cloud environments and the increasing amounts and types of data they generate.

Analytics 130

Analytics Storage Cloud DevOps 130

Dynatrace

NOVEMBER 22, 2021

Its approach to serverless computing has transformed DevOps. Dynatrace extends contextual analytics and AIOps for open observability. DevOps/DevSecOps with AWS. Successful DevOps is as much about tactics as it is technology. 2021 DevOps Report. Learn more here. What is AWS Lambda? What is AWS Lambda?

AWS 246

AWS Lambda Artificial Intelligence Serverless 246

Dynatrace

DECEMBER 13, 2023

And a staggering 83% of respondents to a recent DevOps Digest survey have plans to adopt platform engineering or have already done so. In a recent survey , 57% of DevOps practitioners said the absence of data observability makes it difficult to drive automation in a compliant way. Data indicates these technology trends have taken hold.

Technology 264

Technology Technology Artificial Intelligence Analytics 264

Dynatrace

APRIL 21, 2022

In enterprise environments, DevOps and SRE teams struggle to optimize and troubleshoot databases and the applications they support at scale. DevOps teams are challenged to rapidly identify the root cause of issues without support from database administrators. Enrich database performance KPIs with business analytics.

Database 246

Database DevOps Analytics Servers 246

Dynatrace

AUGUST 26, 2020

We are proud to s hare Dynatrace has been named the winner in the “ Best Overall AI-based Analytics Company ” category, recognized for our innovation and the business-driving impact of our AI engine, Davis. . million a year in employee productivity alone. . The difference Davis makes.

Engineering 306

Engineering DevOps Innovation AWS 306

Dynatrace

MAY 17, 2023

For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries. Combining causal AI with GPTs will empower teams to automate analytics that explore the impact of their code, applications, and the underlying infrastructure while retaining full context.

Innovation 306

Innovation Software Software Artificial Intelligence 306

Dynatrace

NOVEMBER 7, 2023

Centralization of platform capabilities improves efficiency of managing complex, multi-cluster infrastructure environments According to research findings from the 2023 State of DevOps Report , “36% of organizations believe that their team would perform better if it was more centralized.” Ensure that you get the most out of your product.

Engineering 306

Engineering DevOps Best Practices Infrastructure 306

Dynatrace

APRIL 11, 2023

And 36% of these organizations also reported that the siloed culture between DevOps and security teams prevents collaboration. When DevOps teams move these tasks earlier in the development process, it can aid in finding software flaws before they enter production. Only 27% of those CIOs say their teams fully adhere to a DevOps culture.

Cloud 246

Cloud DevOps Open Source Retail 246

Dynatrace

DECEMBER 15, 2022

2: Observability, security, and business analytics will converge as organizations strive to tame the data explosion. To address this, observability, security, and business analytics will converge as organizations consolidate their tools. Observability trend no.

Artificial Intelligence 279

Artificial Intelligence Analytics Innovation Healthcare 279

Dynatrace

JULY 29, 2024

Our guide covers AI for effective DevSecOps, converging observability and security, and cybersecurity analytics for threat detection and response. A unified observability and security analytics strategy can guide organizations toward a more proactive security posture at scale. Learn more in this blog.

Analytics 245

Analytics Government DevOps Efficiency 245

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. The advantage of an index-free system in log analytics and log management.

Analytics 264

Analytics Storage Infrastructure Metrics 264

Dynatrace

OCTOBER 4, 2024

Unlocked use cases Gaining insights into your pipelines and applying the power of Dynatrace analytics and automation unlocks numerous use cases: Make data-driven improvements: Invest in those software delivery capabilities that provide the most significant payoff. are data points that require special attention.

Software 278

Software Software Development Performance 278

Dynatrace

OCTOBER 14, 2022

Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. AI applies advanced analytics and logic-based techniques to interpret data and events, support and automate decisions, and even take intelligent actions.

Artificial Intelligence 244

Artificial Intelligence DevOps Analytics Cloud 244

Dynatrace

JANUARY 31, 2024

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. The rise of data observability in DevOps Data forms the foundation of decision-making processes in companies across the globe. Data observability is becoming a mandatory part of business analytics, automation, and AI.

DevOps 272

DevOps Analytics Airlines Metrics 272