Dynatrace

MARCH 12, 2025

Introducing Amazon Bedrock and Dynatrace Observability Amazon Bedrock is a serverless service for building and scaling Generative AI applications easily with foundation models (FM). Predictive analytics that forecast AI resource usage and cost trends, letting you proactively manage budgets.

Metrics 165

Metrics Serverless Analytics Innovation 165

Dynatrace

FEBRUARY 23, 2022

AIOps, conversely, is an approach to software operations that combines AI algorithms with data analytics to automate key tasks and suggest precise answers to common IT issues, such as unexpected downtime or unauthorized data access. With AIOps, algorithms observe events in context. Serverless architecture expands.

Serverless 312

Serverless Infrastructure Innovation DevOps 312

Dynatrace

NOVEMBER 22, 2021

Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. AWS provides a suite of technologies and serverless tools for running modern applications in the cloud. AWS: A service for everything. Amazon EC2.

Best Practices 246

Best Practices AWS Monitoring Serverless 246

Dynatrace

APRIL 7, 2023

What is a Lambda serverless function? Despite being serverless, the function still requires infrastructure on which to run. Triggering the Lambda function is event-driven and could include changes in state or an update to a file. To learn more about the AWS Lambda features, visit the Lamba features page.

Lambda 246

Lambda AWS Serverless Latency 246

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. Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies.

Lambda 246

Lambda AWS Serverless Latency 246

Dynatrace

NOVEMBER 22, 2021

When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Its approach to serverless computing has transformed DevOps.

AWS 246

AWS Lambda Artificial Intelligence Serverless 246

Dynatrace

APRIL 5, 2021

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 observability problem of the serverless approach. Dynatrace news.

Azure 204

Azure Serverless IoT Lambda 204

Dynatrace

AUGUST 25, 2023

It makes them available for a log analytics platform to gain automated, contextual, and actionable insights into the services and underlying platforms. It’s also a great option for situations where an application writes logs inside pods or if serverless k8s deployments, such as AWS Fargate, are utilized.

Serverless 246

Serverless Analytics AWS Azure 246

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 2: Instrument compute and serverless cloud technologies.

Cloud 242

Cloud Lambda Serverless AWS 242

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

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 246

Analytics Infrastructure Storage Architecture 246

Dynatrace

MARCH 6, 2024

“IDPs are not constrained to building microservices or a new serverless app,” Grabner noted. Furthermore, OneAgent observes and gathers all remaining workload logs, metrics, traces, and events. It lets us see events such as starts and traces in a standardized manner.”

Engineering 264

Engineering Development DevOps Infrastructure 264

Dynatrace

DECEMBER 9, 2020

Dynatrace is fully committed to the OpenTelemetry community and to the seamless integration of OpenTelemetry data , including ingestion of custom metrics , into the Dynatrace open analytics platform. Announcing seamless integration of OpenTracing data into Dynatrace PurePath 4. Deep-code execution details.

Java 264

Java Traffic Architecture Serverless 264

Dynatrace

MAY 19, 2023

It’s more complex than it sounds.” As cloud entities multiply, along with greater reliance on microservices and serverless architectures, so do the complex relationships and dependencies among them. This starts with a different approach to data aggregation.

Network 246

Network Monitoring Performance Traffic 246

Dynatrace

NOVEMBER 27, 2020

Our metric exporters allow for ingestion of OpenTelemetry-instrumented custom metrics into the Dynatrace open analytics and AI platform, giving you precise and actionable analytics across the entire software life cycle. NET , Java , JavaScript/Node.js , and Python. The checkout cart service, a Node.js record(value); }.

Metrics 214

Metrics Open Source Lambda Serverless 214

Dynatrace

OCTOBER 1, 2021

Many organizations also adopt an observability solution to help them detect and analyze the significance of events to their operations, software development life cycles, application security, and end-user experiences. Metrics: These are the values represented as counts or measures that are often calculated or aggregated over a period of time.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Adrian Cockcroft

MAY 6, 2023

The problem is that they called this refactoring a microservice to monolith transition, when it’s clearly a microservice refactoring step, and is exactly what I recommend people do in my talks about Serverless First. A real-time user experience analytics engine for live video, that looked at all users rather than a subsample.

Serverless 145

Serverless Lambda Best Practices Traffic 145

Dynatrace

JANUARY 23, 2024

Check back here throughout the event for the latest news, insights, and announcements. Measuring the importance of data quality to causal AI success – blog Causal AI can accurately pinpoint why an event occurred, but the effectiveness of AI depends on high-quality data. Enter causal AI. Join us for Dynatrace Perform 2024.

Performance 246

Performance DevOps Innovation Artificial Intelligence 246

Dynatrace

OCTOBER 17, 2022

While the benefits of AIOps are plentiful — including increased automation, improved event prioritization and incident response, and accelerated digital transformation — applying AIOps use cases to an organization’s real-world operations issues can be challenging. CloudOps includes processes such as incident management and event management.

DevOps 246

DevOps Artificial Intelligence Healthcare Innovation 246

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

AWS 305

AWS Efficiency Azure Cloud 305

Dynatrace

APRIL 6, 2022

AWS Lambda is one of the most popular serverless compute services in the market. Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Insights into how serverless functions impact user experience.

Lambda 130

Lambda AWS Serverless Infrastructure 130

Dynatrace

JANUARY 12, 2021

It’s powered by vast amounts of collected telemetry data such as metrics, logs, events, and distributed traces to measure the health of application performance and behavior. It can empower teams to identify the effect of an incident quickly and pinpoint the cause of the specific behavior or event.

Monitoring 246

Monitoring Artificial Intelligence DevOps Serverless 246

Dynatrace

APRIL 11, 2023

The focus on bringing various organizational teams together—such as development, business, and security teams — makes sense as observability data, security data, and business event data coalesce in these cloud-native environments. Learn how to automate DevSecOps at scale.

Cloud 246

Cloud DevOps Open Source Retail 246

O'Reilly

MAY 19, 2020

These services are also designed to function as gateway drugs to cloud services: e.g., Microsoft integrates its on- and off-premises Excel client experience with its PowerBI cloud analytics service, as well as with its ecosystem of Azure-based advanced analytics and machine learning (ML) services. Serverless Stagnant.

Cloud 144

Cloud Serverless AWS DevOps 144

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

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

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

All Things Distributed

OCTOBER 12, 2016

Since then we’ve introduced Amazon Kinesis for real-time streaming data, AWS Lambda for serverless processing, Apache Spark analytics on EMR, and Amazon QuickSight for high performance Business Intelligence. Building upon Redis. It also offers improved synchronization of replicas under load.

Scalability 102

Scalability Cache Analytics AWS 102

Smashing Magazine

MAY 17, 2021

CLS , or Cumulative Layout Shift, tracks how elements move or shift on the page absent of actions like a keyboard or click event. Through the use of BundlePhobia and Lighthouse, we found that third-party error logging and analytics software contributed significantly to our bundle size and load time. A summary of LCP, FID and CLS.

Google 111

Google Analytics Serverless Metrics 111

Dynatrace

JUNE 1, 2021

When this happens, it becomes more difficult to find the most important events taking place within your application infrastructure. User experience and business analytics. Each of these microservices exists for a very short period and generates its own telemetry data, adding to the overall signal noise.

Monitoring 165

Monitoring Mobile Social Media Open Source 165

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

VoltDB

FEBRUARY 29, 2024

Application architecture complexity Modern business applications are often built on complex architectures, involving microservices, containers, and serverless computing. Volt empowers enterprise-grade applications to act on event data before it loses its business value.

Latency 52

Latency Games Traffic Network 52

Smashing Magazine

AUGUST 3, 2023

But once we had a good understanding, we knew exactly what to look for and began analyzing the analytics of our user data to identify areas that could be improved. We can then forward this data to a custom analytics service. One of the key Next.js The reportWebVitals function. LCP seconds over time. seconds.

Performance 78

Performance Cache Traffic Metrics 78

Smashing Magazine

JANUARY 21, 2019

Recommended reading : Building A Serverless Contact Form For Your Static Site. This way, two events under /events/1/ and /events/2/ will share the same component hierarchy, and the information of what modules are required can be reutilized across them. An event, filtering from a specific module.

Social Media 73

Social Media Database Media Website 73