Dynatrace

OCTOBER 7, 2020

Dynatrace recently opened up the enterprise-grade functionalities of Dynatrace OneAgent to all the data needed for observability, including metrics, events, logs, traces, and topology data. Davis topology-aware anomaly detection and alerting for your custom metrics. Seamlessly report and be alerted on topology-related custom metrics.

Metrics 244

Metrics Analytics Storage Monitoring 244

Dynatrace

SEPTEMBER 30, 2022

Leveraging business analytics tools helps ensure their experience is zero-friction–a critical facet of business success. How do business analytics tools work? IT teams have traditionally relied on internal metrics to estimate business impact. While analytics are one challenge, there remains another: silos.

Analytics 171

Analytics Best Practices Metrics IoT 171

Dynatrace

JULY 29, 2021

The result is that IT teams must often contend with metrics, logs, and traces that aren’t relevant to organizational business objectives—their challenge is to translate such unstructured data into actionable business insights. Dynatrace extends its unique topology-based analytics and AIOps approach.

Analytics 246

Analytics Open Source Serverless Architecture 246

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 190

Technology Technology Analytics Storage 190

Dynatrace

OCTOBER 4, 2022

As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. The only way to address these challenges is through observability data — logs, metrics, and traces. The next frontier: Data and analytics-centric software intelligence.

Analytics 187

Analytics Software Software Storage 187

Dynatrace

SEPTEMBER 1, 2022

Business analytics is a growing science that’s rising to meet the demands of data-driven decision making within enterprises. To measure service quality, IT teams monitor infrastructure, applications, and user experience metrics, which in turn often support service level objectives (SLO)s. What is business analytics?

Analytics 173

Analytics Ecommerce Metrics Innovation 173

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 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

MAY 23, 2024

Azure Native Dynatrace Service allows easy access to new Dynatrace platform innovations Dynatrace has long offered deep integration into Azure and Azure Marketplace with its Azure Native Dynatrace Service, developed in collaboration with Microsoft. Notebooks offers advanced Azure observability analytics with DQL.

Azure 187

Azure Cloud Metrics Innovation 187

Dynatrace

MARCH 18, 2024

OpenTelemetry standardizes how organizations instrument, generate, and collect telemetry data for analysis and provides community-based support. Our unwavering commitment to open source initiatives underscores our mission to foster transparency, collaboration, and innovation. Innovation from the open source community.

Scalability 258

Scalability Open Source Analytics Innovation 258

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams. What is observability?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

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 272

Efficiency Performance Analytics DevOps 272

Dynatrace

FEBRUARY 28, 2024

SRG is a potent tool that automates the analysis of release impacts, ensuring validation of service availability, performance, and capacity objectives throughout the application ecosystem by examining the effect of advanced test suites executed earlier in the testing phase.

DevOps 199

DevOps Metrics Engineering Analytics 199

Dynatrace

SEPTEMBER 5, 2023

But when these teams work in largely manual ways, they don’t have time for innovation and strategic projects that might deliver greater value. Predictive AI uses machine learning, data analysis, statistical models, and AI methods to predict anomalies, identify patterns, and create forecasts. Proactive resource allocation.

Artificial Intelligence 260

Artificial Intelligence DevOps Analytics Engineering 260

Dynatrace

FEBRUARY 1, 2024

Multicloud strategy: Balancing potential with complexity in modern IT ecosystems In the ever-changing digital world, cloud technologies are crucial in driving business innovation and adaptability. Centralization brings all the critical metrics and logs into one place, providing a holistic perspective over your cloud environment.

Cloud 200

Cloud Strategy Metrics Government 200

Dynatrace

AUGUST 21, 2023

A traditional log management solution uses an often manual and siloed approach, which limits scalability and ultimately hinders organizational innovation. To stay ahead of the curve, organizations should focus on strategic, proactive innovation and optimization. Free IT teams to focus on and support product innovation.

Analytics 144

Analytics Innovation Infrastructure Scalability 144

Dynatrace

JUNE 6, 2023

This complexity has surfaced seven top Kubernetes challenges that strain engineering teams and ultimately slow the pace of innovation. Comprehensive platform solutions that provide full-stack monitoring with AI at their core can automatically detect anomalies and provide root-cause analysis to prevent future issues. What is Kubernetes?

Open Source 188

Open Source Storage Analytics Innovation 188

Dynatrace

NOVEMBER 20, 2023

 Using fault-tree analysis, this kind of AI provides critical detail about how its models arrive at a given conclusion. How this data-driven technique gives foresight to IT teams – blog By analyzing patterns and trends, predictive analytics enables teams to take proactive actions to prevent problems or capitalize on opportunities.

AWS 205

AWS Artificial Intelligence Analytics Cloud 205

Dynatrace

JANUARY 31, 2024

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. Data is the foundation upon which strategies are built, directions are chosen, and innovations are pursued. Scenario : For many B2B SaaS companies, the number of reported customers is an important metric.

DevOps 191

DevOps Analytics Airlines Metrics 191

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. 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.

DevOps 228

DevOps Innovation Infrastructure Analytics 228

Dynatrace

SEPTEMBER 21, 2023

The growing adoption of innovations like generative AI, based on large-language models (LLMs), will only increase demand for cloud computing. Given the benefits of these innovations, organizations can’t afford to pull back on their efforts to build AI and shift more workloads to the cloud.

Energy 230

Energy Cloud Airlines Strategy 230

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 154

Analytics Technology Technology Cloud 154

Dynatrace

JUNE 27, 2023

Logs complement metrics and enable automation Cloud practitioners agree that observability, security, and automation go hand in hand. Logs complement out-of-the-box metrics and enable automated actions for responding to availability, security, and other service events.

AWS 194

AWS Cloud Lambda Analytics 194

Dynatrace

AUGUST 21, 2023

How OpenTelemetry works Observability data is the stock-in-trade of OpenTelemetry: Logs, metrics, and traces. OpenTelemetry works by providing developers with APIs, SDKs, and tools to instrument their code and collect telemetry data such as logs, metrics, and traces. It’s also being built into Kubernetes.” But one blind spot remained.

Open Source 192

Open Source Analytics Lambda Metrics 192

Dynatrace

NOVEMBER 28, 2022

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. The latest Amazon Lambda innovation, Lambda SnapStart, has day one support from Dynatrace. Simplify error analytics.

Lambda 221

Lambda AWS Serverless Latency 221

Dynatrace

MARCH 29, 2024

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. At every organization, the digital landscape is evolving rapidly, presenting IT operations teams with unique challenges. But organizations still wrestle with even the basics of log management.

Artificial Intelligence 179

Artificial Intelligence DevOps Strategy Open Source 179

Dynatrace

JUNE 28, 2022

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. This metric indicates how quickly software can be released to production. Dynatrace news.

Monitoring 197

Monitoring Software Software DevOps 197

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 232

Performance Analytics Mobile Innovation 232

Dynatrace

JULY 25, 2022

A full list of metrics can be found here and include dimensions such as the following: Packets. When it comes to logs and metrics, the Dynatrace platform provides direct access to the log content of all mission-critical processes. The Dynatrace problem-detection-and-analysis advantage. Log Metrics. Log Metrics.

AWS 214

AWS Transportation Network Traffic 214

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 246

Artificial Intelligence Serverless Analytics Innovation 246

Dynatrace

FEBRUARY 8, 2021

Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. To connect these siloes, and to make sense out of it requires massive manual efforts including code changes and maintenance, heavy integrations, or working with multiple analytics tools.

Cloud 258

Cloud Azure Analytics AWS 258

Dynatrace

APRIL 7, 2023

The latest Amazon Lambda innovation, Lambda Response Streaming has day-one support from Dynatrace without interruption allowing users to continue to take advantage of all the platform features. Organizations will also benefit from the visibility of new metrics directly from the Lambda Stream such as the following: StreamedOutboundBytes.

Lambda 212

Lambda AWS Serverless Latency 212

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 281

Artificial Intelligence Cloud Innovation Strategy 281

Dynatrace

OCTOBER 17, 2022

Thus, modern AIOps solutions encompass observability, AI, and analytics to help teams automate use cases related to cloud operations (CloudOps), software development and operations (DevOps), and securing applications (SecOps). This second solution picks up at data collection, aggregation, and analysis, preparing it for execution.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

Dynatrace

JULY 11, 2023

Dynatrace full stack Red Hat OpenShift observability Dynatrace unifies platform engineering and application teams on a single platform, enhancing software quality and operational efficiency to drive innovation. Captures metrics, traces, logs, and other telemetry data in context.

Architecture 167

Architecture Availability Infrastructure Monitoring 167

Dynatrace

SEPTEMBER 7, 2022

The more relevant the data IT pros feed into the Dynatrace platform, the better the analysis and correlation of how VPN and other network traffic affect your environments. When it comes to dynamic cloud environments, Dynatrace is also an innovator in “modern cloud done right.” The Dynatrace VPC Flow Log analysis capability.

Traffic 211

Traffic AWS Network Cloud 211

Dynatrace

JANUARY 31, 2024

Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications. Enterprises that fail to adapt to these innovations face extinction.

Cache 201

Cache Azure Infrastructure Monitoring 201

Dynatrace

DECEMBER 5, 2023

No observability, no gains All these factors have made ARM an attractive computing architecture for innovative companies. Even if some part of your codebase can be instrumented to collect observability data, having all three signal types (metrics, traces, and logs) is crucial.

Efficiency 262

Efficiency Architecture Energy Monitoring 262