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. This is also known as root-cause analysis. What are the use cases for log analytics? Peak performance analysis. Dynatrace news.

Analytics 178

Analytics Storage Retail Monitoring 178

Dynatrace

OCTOBER 4, 2022

The only way to address these challenges is through observability data — logs, metrics, and traces. Traditionally, though, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs. Enter Grail-powered data and analytics.

Analytics 187

Analytics Software Software Storage 187

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 191

Analytics Processing Transportation Storage 191

Dynatrace

MAY 21, 2024

Realizing that executives from other organizations are in a similar situation to my own, I want to outline three key objectives that Dynatrace’s powerful analytics can help you deliver, featuring nine use cases that you might not have thought possible. Change is my only constant.

Technology 198

Technology Technology Analytics Storage 198

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

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. 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.

Analytics 182

Analytics Innovation Metrics Database 182

Dynatrace

FEBRUARY 15, 2023

Therefore, teams need a unified, intuitive approach to data aggregation and analysis. A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Four factors limit the quality and trustworthiness of traditional approaches to cloud monitoring.

Analytics 130

Analytics Storage Cloud DevOps 130

Dynatrace

JANUARY 11, 2023

To stay competitive in an increasingly digital landscape, organizations seek easier access to business analytics data from IT to make better business decisions faster. Five constraints that limit insights from business analytics data. Teams derive business metrics from many sources. High storage costs. Data silos.

Analytics 185

Analytics Strategy Storage Technology 185

Dynatrace

DECEMBER 13, 2023

As a result, organizations need to monitor mobile app performance metrics that are meaningful and actionable by gaining adequate observability of mobile app performance. This includes how quickly the application loads, how much load it is putting on the device, how much storage is being used, and how frequently it crashes.

Best Practices 194

Best Practices Mobile Metrics Performance 194

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

APRIL 28, 2023

Optimize cost and availability while staying compliant Observability data like logs and metrics provide automated answers, root cause detection, and security issues. This means compromising between keeping data available as long as possible for analysis while juggling the costs and overhead of storage, archiving, and retrieval.

Analytics 209

Analytics Storage Infrastructure Metrics 209

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 254

Retail Analytics Storage Cloud 254

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. It uses fault-tree analysis to identify the component events that cause outcomes at a higher level. That’s where causal AI can help. Causal AI is particularly effective in observability. How can organizations improve data quality?

Government 196

Government Analytics Benchmarking Storage 196

Dynatrace

APRIL 8, 2022

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. Precise, AI-powered anomaly root-cause determination based on automatic log analysis and custom user-defined events. Detailed performance analysis for better software architecture and resource allocation.

Metrics 176

Metrics Analytics Software Architecture Open Source 176

Dynatrace

OCTOBER 4, 2022

These technologies are poorly suited to address the needs of modern enterprises—getting real value from data beyond isolated metrics. Grail needs to support security data as well as business analytics data and use cases. This decoupling ensures the openness of data and storage formats, while also preserving data in context.

Artificial Intelligence 264

Artificial Intelligence Analytics Storage Architecture 264

Dynatrace

MAY 23, 2024

One-click activation of log collection and Azure Monitor metric collection in the Microsoft Azure Portal allows instant ingest of Azure Monitor logs and metrics into the Dynatrace platform. Notebooks offers advanced Azure observability analytics with DQL. There’s no need for configuration or setup of any infrastructure.

Azure 187

Azure Cloud Metrics Innovation 187

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. Metrics, logs , and traces make up three vital prongs of modern observability. Most infrastructure and applications generate logs.

Systems 182

Systems Cloud Analytics DevOps 182

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth.

DevOps 180

DevOps Analytics Storage Metrics 180

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. Achieving the ideal state with aggregated, centralized log data, metrics, traces , and other metadata is challenging—particularly for multicloud environments.

Analytics 217

Analytics Storage Infrastructure Metrics 217

Dynatrace

APRIL 8, 2022

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. Precise, AI-powered anomaly root-cause determination based on automatic log analysis and custom user-defined events. Detailed performance analysis for better software architecture and resource allocation.

Metrics 130

Metrics Analytics Software Architecture Open Source 130

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 260

Artificial Intelligence DevOps Analytics Engineering 260

Dynatrace

JUNE 6, 2023

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. A full-stack observability platform such as Dynatrace provides easy access to the three key types of monitoring signals — logs, traces, and metrics — in context.

Open Source 188

Open Source Storage Analytics Innovation 188

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost.

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

MARCH 27, 2024

Customers can then ingest logs from AWS into the Dynatrace® platform, for in-depth log management and security analytics powered by Grail TM. AWS AppFabric ingests and normalizes audit logs from SaaS applications and delivers them to an Amazon Simple storage service (Amazon S3) bucket in an organization’s AWS account.

AWS 242

AWS Analytics Government Monitoring 242

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

OCTOBER 17, 2023

Customers experience delayed time to value from the data they’re ingesting as they must take additional steps to make the data useful for troubleshooting and analysis, such as re-indexing. Customers find themselves confined to models that limit their ability to leverage the volume of data they possess for practical analysis.

Retail 233

Retail Storage Best Practices Architecture 233

Dynatrace

JANUARY 31, 2024

million” – Gartner Data observability is a practice that helps organizations understand the full lifecycle of data, from ingestion to storage and usage, to ensure data health and reliability. Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality.

DevOps 191

DevOps Analytics Airlines Metrics 191

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

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Without any coding, these extensions make it easy to ingest data from these technologies and provide tailor-made analysis views and zero-config alerting. Dynatrace news.

Technology 213

Technology Technology Metrics Infrastructure 213

Dynatrace

AUGUST 21, 2023

Traditional log management solution challenges Survey data suggests that teams need a modern approach to log management and analytics, which requires a unified log management solution. Additionally, a unified log management solution can help to automate many of the tasks associated with log management, such as correlation and analysis.

Analytics 144

Analytics Innovation Infrastructure Scalability 144

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

FEBRUARY 9, 2021

As an application owner, product manager, or marketer, however, you might use analytics tools like Adobe Analytics to understand user behavior, user segmentation, and strategic business metrics such as revenue, orders, and conversion goals. Enable the storage types, select Add property.

Analytics 137

Analytics Mobile Airlines Monitoring 137

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

JULY 25, 2022

This new service enhances the user visibility of network details with direct delivery of Flow Logs for Transit Gateway to your desired endpoint via Amazon Simple Storage Service (S3) bucket or Amazon CloudWatch Logs. A full list of metrics can be found here and include dimensions such as the following: Packets. Log Metrics.

AWS 214

AWS Transportation Network Traffic 214

Dynatrace

APRIL 26, 2023

Some of our customers run tens of thousands of storage disks in parallel, all needing continuous resizing. With the newly introduced Notebooks , you can use DQL for exploratory analysis of any capacity-related telemetry. Highly dynamic services are deployed to the cloud globally, where resources are requested and deployed on demand.

Games 208

Games Analytics Strategy Cloud 208

Dynatrace

SEPTEMBER 7, 2022

With Amazon Web Services, the main sources from which to ingest logs—Simple Storage Service, or S3, and CloudWatch —come with an additional cost. 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.

Traffic 211

Traffic AWS Network Cloud 211

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. Business events are prioritized over metric events and observability data to deliver lossless precision.

Analytics 224

Analytics Retail Storage Monitoring 224