Dynatrace

OCTOBER 23, 2024

Key insights for executives: Optimize customer experiences through end-to-end contextual analytics from observability, user behavior, and business data. Consolidate real-user monitoring, synthetic monitoring, session replay, observability, and business process analytics tools into a unified platform. Google or Adobe Analytics).

Analytics 286

Analytics Logistics IoT Mobile 286

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. Still, it is critical to collect, store, and make easily accessible these massive amounts of log data for analysis. What’s next for Grail?

Analytics 264

Analytics Artificial Intelligence Storage Serverless 264

Dynatrace

SEPTEMBER 5, 2024

We’re excited to announce several log management innovations, including native support for Syslog messages, seamless integration with AWS Firehose, an agentless approach using Kubernetes Platform Monitoring solution with Fluent Bit, a new out-of-the-box ingest dashboard, and OpenPipeline ingest improvements.

Innovation 290

Innovation AWS Analytics Storage 290

Dynatrace

FEBRUARY 4, 2025

Deploying and safeguarding software services has become increasingly complex despite numerous innovations, such as containers, Kubernetes, and platform engineering. Organizations strive to strike a delicate balance between cost, time to market, and innovation. Organizations must balance many factors to stay competitive.

Analytics 130

Analytics Efficiency DevOps Innovation 130

Dynatrace

DECEMBER 2, 2024

Clearly, continuing to depend on siloed systems, disjointed monitoring tools, and manual analytics is no longer sustainable. With AIOps, it is possible to detect anomalies automatically with root-cause analysis and remediation support.

Artificial Intelligence 258

Artificial Intelligence DevOps Architecture Cloud 258

Dynatrace

OCTOBER 2, 2024

Dynatrace Grail™ and Davis ® AI act as the foundation, eliminating the need for manual log correlation or analysis while enabling you to take proactive action. This shortens root cause analysis dramatically, as explained in our recent blog post Full Kubernetes logging in context from Fluent Bit to Dynatrace.

Analytics 304

Analytics AWS DevOps Cloud 304

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

DZone

FEBRUARY 5, 2024

Efficient log management strategies, such as implementing structured logging, using log aggregation tools, and applying machine learning for log analysis, are crucial for handling this data effectively. This innovative service is transforming the way organizations handle their log data. It is a brand new capability of CloudWatch.

Analytics 278

Analytics Innovation Strategy Efficiency 278

Dynatrace

NOVEMBER 18, 2024

Meanwhile, cost reduction programs affect budgets, constrain technology investment, and inhibit innovation. Retaining multiple tools generates huge volumes of alerts for analysis and action, slowing down the remediation and risk mitigation processes.

Strategy 243

Strategy Innovation Cloud Efficiency 243

Dynatrace

OCTOBER 16, 2024

When we launched the new Dynatrace experience, we introduced major updates to the platform, including Grail ™, our innovative data lakehouse unifying observability, security, and business data, and Dynatrace Query Language ( DQL ) for accessing and exploring unified data. Effortlessly explore data in Dynatrace and create dashboards from it.

Social Media 263

Social Media Metrics Network Analytics 263

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. “Logging” is the practice of generating and storing logs for later analysis. What is log analytics? Dynatrace news.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

Dynatrace

AUGUST 20, 2024

Information related to user experience, transaction parameters, and business process parameters has been an unretrieved treasure, now accessible through new and unique AI-powered contextual analytics in Dynatrace. Executives drive business growth through strategic decisions, relying on data analytics for crucial insights.

Analytics 285

Analytics Latency Processing Systems 285

Dynatrace

FEBRUARY 26, 2024

In today’s complex digital landscape, organizations need to be able to scale and innovate in order to compete. The collaborative partner innovation showcased between Dynatrace and its strategic partnerships is a critical piece of enabling growth for our customers.

Innovation 246

Innovation Analytics Mobile Website 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 6, 2023

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 245

Azure Analytics Artificial Intelligence Innovation 245

Dynatrace

JULY 29, 2021

With extended contextual analytics and AIOps for open observability, Dynatrace now provides you with deep insights into every entity in your IT landscape, enabling you to seamlessly integrate metrics, logs, and traces—the three pillars of observability. Dynatrace extends its unique topology-based analytics and AIOps approach.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

MARCH 6, 2024

To unlock the agility to drive this innovation, organizations are embracing multicloud environments and Agile delivery practices. Fragmented monitoring and analytics can’t keep up The continued reliance on fragmented monitoring tools and manual analytics strategies is a particular pain point for IT and security teams.

Analytics 246

Analytics Innovation Strategy Storage 246

Dynatrace

AUGUST 9, 2023

A traditional log-based SIEM approach to security analytics may have served organizations well in simpler on-premises environments. Security Analytics and automation deal with unknown-unknowns With Security Analytics, analysts can explore the unknown-unknowns, facilitating queries manually in an ad hoc way, or continuously using automation.

Analytics 246

Analytics Metrics Database Storage 246

Dynatrace

OCTOBER 4, 2022

As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. 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 246

Analytics Software Software Storage 246

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 245

Analytics Ecommerce Metrics Innovation 245

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. This coactive AI approach enables organizations to spend more time on innovation by simplifying and automating routine tasks.

Analytics 245

Analytics Artificial Intelligence Engineering Technology 245

Dynatrace

JUNE 28, 2022

Although most organizations invest in innovative mobile app development, not many allocate enough resources toward delivering and measuring the high-quality user experiences customers expect. Mobile analytics can help organizations optimize their mobile application performance, earning customer accolades and increasing revenue in the process.

Mobile 246

Mobile Analytics Best Practices Software Engineering 246

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. AI observability and data observability The importance of effective AI data analysis to organizational success places a burden on leaders to better ensure that the data on which algorithms are based is accurate, timely, and unbiased.

Performance 246

Performance DevOps Innovation Energy 246

Dynatrace

FEBRUARY 16, 2024

The growing complexity of modern multicloud environments has created a pressing need to converge observability and security analytics. Security analytics is a discipline within IT security that focuses on proactive threat prevention using data analysis. To begin, St. Using Dynatrace Query Language in Grail , St. Clair said.

Analytics 246

Analytics Engineering Cloud Traffic 246

Dynatrace

MARCH 12, 2025

How can you gain insights that drive innovation and reliability in AI initiatives without breaking the bank? Heres how Dynatrace, combined with Amazon Bedrock, arms teams with instant intelligence from dev to production, helping to accelerate innovation while keeping performance, costs, and compliance in check.

Metrics 147

Metrics Serverless Analytics Innovation 147

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. Check out the guide from last year’s event.

Efficiency 306

Efficiency Performance Analytics DevOps 306

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. Automatic topology analysis. Near-zero overhead.

Analytics 236

Analytics Technology Technology Cloud 236

Dynatrace

MAY 21, 2024

I also have the privilege of being “customer zero” for our platform, which enables me to continually discover where Dynatrace can deliver on more use cases to drive my team’s productivity and innovation. Unlike anything before, contextual analytics in Dynatrace provides answers to any question at any time, instantaneously.

Technology 275

Technology Technology Analytics Storage 275

Dynatrace

FEBRUARY 15, 2023

Exploratory analytics is an essential capability for organizations to discover the stories hiding in their data. Visual data analytics with collaborative input from IT, development, security, and business teams makes those stories reveal themselves and helps teams immediately understand—and act on—their business impact.

Analytics 130

Analytics Government Media C++ 130

Dynatrace

OCTOBER 7, 2020

Our latest innovation for detecting anomalies in metrics, topology-aware Davis-AI auto-adaptive baselining, is unique in that it adapts to changing metric behavior over time, thereby helping you to avoid false-positive alerts. The post Intelligent, context-aware AI analytics for all your custom metrics appeared first on Dynatrace blog.

Metrics 246

Metrics Analytics Storage Monitoring 246

Dynatrace

APRIL 6, 2022

Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting. Improve business decisions with precision analytics.

DevOps 303

DevOps Innovation Infrastructure Cloud 303

Dynatrace

FEBRUARY 4, 2025

This limitation highlights the importance of continuous innovation and adaptation in IT operations and AIOps strategies. This necessitates additional requirements such as minimizing the total number of issues, eliminating false positives, and conducting accurate root cause analysis.

Retail 130

Retail Engineering Metrics Efficiency 130

Dynatrace

FEBRUARY 13, 2020

Echoing John Van Siclen’s sentiments from his Perform 2020 keynote, Steve cited Dynatrace customers as the inspiration and driving force for these innovations. “A Highlighting the company’s announcements from Perform 2020, Steve and a team of other Dynatrace product leaders introduced the audience to several of our latest innovations.

Performance 278

Performance Mobile Analytics Innovation 278

Dynatrace

NOVEMBER 20, 2020

We believe this placement recognizes Dynatrace’s leadership in applying AI, automation, and advanced analytics to business and operations use cases to provide predictive and prescriptive answers to IT issues in real time. Other strengths include microservices, transaction, and customer experience (CX) monitoring, and intelligent analytics.

Artificial Intelligence 279

Artificial Intelligence Serverless Analytics Innovation 279

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. Increased business innovation. However, AIOps makes it possible to automate key tasks, such as error detection, alert analysis, and event reporting.

Artificial Intelligence 325

Artificial Intelligence Cloud Innovation Strategy 325

Dynatrace

OCTOBER 1, 2024

AI for IT operations (AIOps) uses AI for event correlation, anomaly detection, and root-cause analysis to automate IT processes. It plays a crucial role in managing complex multicloud environments by streamlining operations and enhancing efficiency, reducing costs, and driving innovation.

Strategy 245

Strategy Artificial Intelligence Innovation Efficiency 245

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