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 192

Analytics Processing Transportation Storage 192

Dynatrace

APRIL 1, 2021

Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer. Cloud computing environments like AWS, Azure, and GCP offer a wide array of computing capabilities and capacity. It includes metrics, dashboards, alerts, events, logs, and cross-environment traces.

Azure 170

Azure AWS DevOps Cloud 170

Scalegrid

JANUARY 3, 2020

It can be used along with a visualization tool like Grafana to easily create and edit dashboards, query, visualize, alert on, and understand your metrics. These tools will provide additional insight to your metrics, usage patterns, and datasets along with your ScaleGrid MySQL monitoring , query analysis , and alerts.

Monitoring 164

Monitoring Metrics Servers Database 164

Dynatrace

APRIL 5, 2021

What is Azure Functions? Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The growth of Azure cloud computing.

Azure 136

Azure Serverless IoT Lambda 136

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. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

MARCH 16, 2022

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. Whatever your use case, when log data reflects changes in your infrastructure or business metrics, you need to extract the metrics and monitor them.

Metrics 210

Metrics Lambda Infrastructure Monitoring 210

Dynatrace

MAY 20, 2020

Dynatrace collects a huge number of metrics for each OneAgent-monitored host in your environment. Depending on the types of technologies you’re running on individual hosts, the average number of metrics is about 500 per computational node. Running metric queries on a subset of entities for live monitoring and system overviews.

Metrics 224

Metrics Operating System Tuning Monitoring 224

Dynatrace

OCTOBER 6, 2023

Table name Default bucket logs default_logs events default_events metrics default_metrics bizevents default_bizevents dt.system.events dt_system_events entities spans (in the future) The default buckets let you ingest data immediately, but you can also create additional custom buckets to make the most of Grail.

Artificial Intelligence 258

Artificial Intelligence Analytics Metrics Storage 258

Dynatrace

AUGUST 12, 2020

x runtime versions of Azure Functions running in an Azure App Service plan. This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Azure Functions in a nutshell. Simplify error analytics.

Serverless 234

Serverless Azure Monitoring Lambda 234

Dynatrace

APRIL 21, 2022

You can create custom log metrics for smarter and faster troubleshooting, and you will be able to understand log data in the context of your full stack, including real user impacts. The default values cover a large range of different cluster sizes; you can modify them according to your needs, based on the ActiveGate self-monitoring metrics.

Azure 212

Azure Metrics AWS Monitoring 212

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. If you’ve read about observability, you likely know that collecting the measurements of logs, metrics, and distributed traces are the three key pillars to achieving success.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

AUGUST 12, 2020

x runtime versions of Azure Functions running in an Azure App Service plan. This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Azure Functions in a nutshell. Simplify error analytics.

Serverless 140

Serverless Azure Monitoring Lambda 140

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. Dynatrace AWS monitoring gives you an overview of the resources that are used in your AWS infrastructure along with their historical usage.

Analytics 237

Analytics Infrastructure AWS Operating System 237

Dynatrace

NOVEMBER 17, 2020

The seamless integration enables enrichment of your OpenTelemetry metrics and traces with insights from the Dynatrace Software Intelligence Platform. PurePath 4 supports serverless computing out-of-the-box, including Kubernetes services from Amazon Web Services (AWS) , Microsoft Azure , and Google Cloud Platform (GCP).

Analytics 154

Analytics Technology Technology Cloud 154

Scalegrid

MARCH 14, 2024

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JANUARY 20, 2022

Azure supporting services (Synapse Analytics). Apache Spark pool metrics are replaced with new ones. See Available metrics. Improved `builtin:apps.web.actionCount.summary` metric. (APM-339840). File descriptors metric now correctly aggregates PIDs on host’s process list and process details page. (APM-341616).

Lambda 177

Lambda AWS Metrics Azure 177

Dynatrace

DECEMBER 2, 2021

Symptoms : No data is provided for affected metrics on dashboards, alerts, and custom device pages populated by the affected extension metrics. New analytics view for message queues. Select a specific queue or topic to display details about its connected producer and consumer services, as well as technology-specific metrics.

Lambda 190

Lambda Azure Metrics Monitoring 190

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 168

Metrics Monitoring Database Network 168

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

AUGUST 24, 2020

Metrics to find out how the behavior of a system has changed over time . Dynatrace AWS m onitoring gives you an overview of the resources that are used in your AWS infrastructure along with their historical usage. Further reading about Business Analytics : . Digital Business Analytics. Conclusion.

Analytics 134

Analytics Infrastructure AWS Operating System 134

Dynatrace

APRIL 22, 2022

When American Family Insurance took the multicloud plunge, they turned to Dynatrace to automate Amazon Web Services (AWS) event ingestion, instrument compute and serverless cloud technologies, and create a single workflow for unified event management. Step 1: Automate AWS metrics ingestion with Dynatrace. It only costs about $.01

Cloud 166

Cloud Lambda Serverless AWS 166

Dynatrace

FEBRUARY 12, 2024

When releasing into production, Gardner said it’s important to think beyond performance metrics. It provides a cross-cloud overview of cloud services, their instances, and health, enabling cloud resource usage analysis and optimization with analytics notebooks.

Engineering 179

Engineering Development Infrastructure Cloud 179

Dotcom-Montior

OCTOBER 19, 2021

It also can integrate with cloud-based providers, like Amazon, Google Cloud Platform, Azure, and others. Monitoring & Analytics. These monitoring and analyticcs tools need to also be able to send immediate alerts if any applications go down or these performance metrics fails to meet the predefined thresholds.

Engineering 86

Engineering Open Source Programming Monitoring 86

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. This simplifies management and streamlines rollback, roll forward, and updates.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dotcom-Montior

FEBRUARY 19, 2022

It also can integrate with cloud-based providers, like Amazon, Google Cloud Platform, Azure, and others. Monitoring & Analytics. These monitoring and analyticcs tools need to also be able to send immediate alerts if any applications go down or these performance metrics fails to meet the predefined thresholds.

Engineering 52

Engineering Open Source Programming Monitoring 52

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Because the scope of these solutions is limited by their nature, they also tend to create silos in which teams can disagree on service-level objectives (SLOs) and metrics.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Scalegrid

JUNE 11, 2019

In our last analysis under the Cloud Infrastructure breakdown, we analyze which cloud providers are most popular for open source database hosting: AWS is the #1 cloud provider for open source database hosting, representing 56.9% with a surprising lead over Azure at 10.8%. of all cloud deployments from this survey.

Open Source 55

Open Source Database Cloud Infrastructure 55

High Scalability

NOVEMBER 25, 2019

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. AWS for builds. Data interdependence. Level of concurrent reads.

Architecture 52

Architecture Cache Azure Storage 52