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. Organizations need to stay on top of AI developments, and AI adoption is not a one-time event for which they can plan.

Cache 206

Cache Azure Infrastructure Monitoring 206

High Scalability

JANUARY 11, 2022

We can use cloud technologies such as Amazon Kinesis or Azure Stream Analytics for collecting, processing, and analyzing real-time, streaming data to get timely insights and react quickly to new information(e.g. The entity C denotes the event where a user likes a post and entity D denotes the action when a user follows another user.

Design 334

Design Media Storage Logistics 334

Dynatrace

MARCH 24, 2023

Part of its popularity owes to its availability as a managed service through the major cloud providers, such as Amazon Elastic Kubernetes Service , Google Kubernetes Engine , and Microsoft Azure Kubernetes Service. Likewise, Kubernetes is both an enterprise platform and managed services with Red Hat OpenShift.

Infrastructure 188

Infrastructure Open Source Operating System Cloud 188

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 195

Analytics Processing Transportation Storage 195

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require. It’s not enough to just pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark.

Logistics 52

Logistics Retail Analytics Azure 52

Dynatrace

NOVEMBER 22, 2021

In this section, we explore how cloud observability tools differ from traditional monitoring: cloud-native observability platforms identify the root causes of anomalous events and provide automated incident response. Dynatrace extends contextual analytics and AIOps for open observability. AIOps tools can help you streamline operations.

AWS 230

AWS Lambda Artificial Intelligence Serverless 230

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 246

Best Practices Analytics Artificial Intelligence Infrastructure 246

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 137

Azure Serverless IoT Lambda 137

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

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 211

Analytics Monitoring Artificial Intelligence DevOps 211

SQL Performance

AUGUST 11, 2021

Bucketizing date and time data involves organizing data in groups representing fixed intervals of time for analytical purposes. One is using a function called DATE_BUCKET , which at the time of writing is only available in Azure SQL Edge. As mentioned, the DATE_BUCKET function is currently available only in Azure SQL Edge.

Azure 139

Azure Code Database Servers 139

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. In the event that there’s a problem, Dynatrace will automatically highlight the hotspot and root cause in the different Dynatrace views. 3 Log Analytics. Full-stack observability. End-to-end code-level tracing. Service mash insights. End-user monitoring.

AWS 128

AWS Monitoring Ecommerce Lambda 128

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

SQL Server According to Bob

FEBRUARY 15, 2018

I have the blessed opportunity to speak at many customer events. Microsoft engineering is actually sending quite a few folks over the Atlantic to come talk about SQL Server 2017, SQL Server on Linux, GDPR, Performance, Security, Azure Data Lake, Azure SQL Database, Azure SQL Data Warehouse, and Azure CosmosDB.

Engineering 40

Engineering Azure Best Practices Servers 40

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 173

Azure AWS DevOps Cloud 173

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 238

Serverless Azure Monitoring Lambda 238

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 263

Artificial Intelligence Analytics Metrics Storage 263

Dynatrace

MARCH 6, 2024

Grabner gave the example of one Dynatrace banking customer who built an IDP that enables developers to provision new Azure machines or Chef policies without administrative help. Furthermore, OneAgent observes and gathers all remaining workload logs, metrics, traces, and events.

Engineering 243

Engineering Development DevOps Infrastructure 243

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 142

Serverless Azure Monitoring Lambda 142

Dynatrace

NOVEMBER 20, 2023

Causal AI is an artificial intelligence technique used to determine the precise underlying causes and effects of events. Using 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 211

AWS Artificial Intelligence Analytics Cloud 211

Dynatrace

APRIL 21, 2022

Proper linking of pod events to the pod (previously, short-lived pods would sometimes not be recognized, so the Kubernetes event would be linked to the related namespace entity instead). Configuration API for AWS and Azure supporting services. Pods deleted while in a running state will still be displayed as Running.

Azure 218

Azure Metrics AWS Monitoring 218

ScaleOut Software

APRIL 3, 2020

The real-time digital twin software tracks and updates this information using incoming messages whenever significant events affecting the ventilator occur, such as when it moves from place to place, is put in use, becomes available, encounters a mechanical issue, has an expected repair time, etc.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

The real-time digital twin software tracks and updates this information using incoming messages whenever significant events affecting the ventilator occur, such as when it moves from place to place, is put in use, becomes available, encounters a mechanical issue, has an expected repair time, etc.

Logistics 52

Logistics Analytics Scalability Cloud 52

Scalegrid

JANUARY 3, 2020

Prometheus is an open-source software application used for event monitoring and alerting. ScaleGrid provides full admin access to your MySQL deployments – this makes it easier to integrate the existing MySQL ecosystem of tools with your ScaleGrid MySQL deployments on AWS or Azure.

Monitoring 164

Monitoring Metrics Servers Database 164

Dynatrace

AUGUST 24, 2020

Logs represent event data in plain-text, structured or binary format. Similarly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. Further reading about Business Analytics : . Digital Business Analytics. Dynatrace Kubernetes documentation .

Analytics 243

Analytics Infrastructure AWS Operating System 243

Dynatrace

DECEMBER 2, 2021

Removed seven-day preview from create/edit custom event for alerting pages. Settings > Anomaly detection > Extension events. Settings > Anomaly detection > Custom events for alerting. New analytics view for message queues. Problem detection and notifications. Settings security policies.

Lambda 196

Lambda Azure Metrics Monitoring 196

Dynatrace

SEPTEMBER 29, 2021

An orchestration platform needs to expose data about its internal states and activities in the form of logs, events, metrics, or transaction traces. Amazon Elastic Kubernetes Service , Microsoft Azure Kubernetes Service , and Google Kubernetes Platform each offer their own managed Kubernetes service. Observability.

Open Source 304

Open Source Traffic DevOps Cloud 304

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

The Morning Paper

FEBRUARY 27, 2020

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., This paper describes Gandalf, the software deployment monitor in production at Microsoft Azure for the past eighteen months plus. In Azure, most catastrophic issues happen within 1 hour after the rollout.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. Let’s walk through the top use cases for Greenplum: Analytics.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 52

Analytics Social Media Serverless Cloud 52

Dynatrace

AUGUST 21, 2023

Different monitoring point solutions, such as Jaeger, Zipkin, Logstash, Fluentd, and StatsD, each have their own way of observing and recording such an event. Challenges of adopting OpenTelemetry The first challenge is that OpenTelemetry only gathers and processes data—it has no back end, no storage, and no analytics.

Open Source 198

Open Source Analytics Lambda Metrics 198

Dynatrace

AUGUST 24, 2020

Logs represent event data in plain-text, structured or binary format . Similar ly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. . Further reading about Business Analytics : . Digital Business Analytics. Kubernetes integration.

Analytics 135

Analytics Infrastructure AWS Operating System 135

Dynatrace

FEBRUARY 12, 2024

And that’s where lifecycle events come in. It provides a cross-cloud overview of cloud services, their instances, and health, enabling cloud resource usage analysis and optimization with analytics notebooks. Pipeline observability Gardner then reviewed the importance of pipeline observability.

Engineering 184

Engineering Development Infrastructure Cloud 184

Dynatrace

MAY 17, 2023

The next level of observability: OneAgent In the first two parts of our series, we used OpenTelemetry to manually instrument our application and send the telemetry data straight to the Dynatrace analytics back end. OneAgent is the native telemetry data collector and monitoring solution of Dynatrace.

Metrics 173

Metrics Monitoring Database Network 173