Dynatrace

NOVEMBER 17, 2020

Every tap in a mobile app triggers requests that, potentially, travel through a myriad of microservices, routed from one service to the next by service meshes, calling several serverless functions. Automatic topology analysis. In addition, the teams building and running applications are working with different technologies in parallel.

Analytics 161

Analytics Technology Technology Cloud 161

Dynatrace

APRIL 25, 2023

As companies accelerate digital transformation, they implement modern cloud technologies like serverless functions. According to Flexera , serverless functions are the number one technology evaluated by enterprises and one of the top five cloud technologies in use at enterprises. What are serverless applications?

Serverless 216

Serverless Lambda Azure AWS 216

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 173

Lambda AWS Serverless Infrastructure 173

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 232

Lambda AWS Serverless Latency 232

Dynatrace

OCTOBER 8, 2020

By leveraging the AWS Lambda Extensions API , Dynatrace brings the unique value of its Davis AI-engine for fully automatic root cause analysis to AWS Lambda. This means, you don’t need to change even a single line of code in the serverless functions themselves. Serverless functions and services are highly dynamic and ephemeral.

Lambda 304

Lambda AWS Programming Serverless 304

Dynatrace

APRIL 7, 2023

What is a Lambda serverless function? Despite being serverless, the function still requires infrastructure on which to run. Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes.

Lambda 224

Lambda AWS Serverless Latency 224

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

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 220

Best Practices AWS Monitoring Serverless 220

Dynatrace

FEBRUARY 23, 2022

AIOps for root-cause analysis becomes critical. This real-time analysis is key as teams integrate security verification to test code in development and continually identify new security vulnerabilities in production. Serverless architecture expands. Microservices go hand-in-hand with serverless computing.

Serverless 274

Serverless Infrastructure Innovation DevOps 274

Dynatrace

DECEMBER 20, 2022

This Provider Lens research analyzes trends and challenges associated with cloud-native observability and assesses capabilities surrounding observability for technologies such as Kubernetes and serverless. Davis AI eliminates alert noise, automatically analyzes trends, and provides automatic root-cause analysis down to the code level. “AI-powered

Cloud 130

Cloud Serverless Open Source Analytics 130

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 235

AWS Lambda Artificial Intelligence Serverless 235

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 258

Artificial Intelligence Serverless Analytics Innovation 258

Dynatrace

SEPTEMBER 23, 2021

AI-powered analytics —Automatic root cause detection . The operations team looks at the analysis provided by Davis and digs into the details of an impacted user action at the front end. We’ll continue to build on our partnership with AWS and provide you with automatic and intelligent observability for your serverless applications.

AWS 231

AWS Lambda Serverless Metrics 231

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

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. Use topological details related to the service at hand to drill down to the process or host running the service for root cause analysis.

Java 242

Java Traffic Strategy Architecture 242

Dynatrace

FEBRUARY 15, 2023

App developers have the same limitless possibilities for creating customized analytics and integrations in any IT environment, whether in the cloud or on-premises. The app automatically identifies opportunities to reduce carbon emissions, capturing the details needed for analysis and making informed decisions.

Government 171

Government Serverless Analytics Metrics 171

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. Additionally, Dynatrace has partnered with Gigamon to understand on-premises network traffic flows.

Network 224

Network Monitoring Performance Traffic 224

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. It’s simply not practical to create a unique query tailored for each data source.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

Dynatrace

OCTOBER 17, 2022

However, as organizations adopt more cloud-native technologies, such as containerized microservices and serverless platforms, operations have become exponentially more complex. This second solution picks up at data collection, aggregation, and analysis, preparing it for execution. Deterministic AI.

DevOps 205

DevOps Artificial Intelligence Healthcare Innovation 205

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. It only costs about $.01

Cloud 175

Cloud Lambda Serverless AWS 175

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. It’s simply not practical to create a unique query tailored for each data source.

Analytics 52

Analytics Social Media Serverless Cloud 52

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 256

AWS Efficiency Azure Cloud 256

Dynatrace

MARCH 22, 2023

The advent of microservices and serverless computing means that cloud-based applications may consist of thousands of containerized services. Finally, determine countermeasures and remediation through deep vulnerability analysis. Use trusted repositories and apply adequate segregation and access control to the CI/CD pipeline.

Open Source 207

Open Source Artificial Intelligence Internet Internet 207

Dynatrace

DECEMBER 15, 2022

As with all other log ingestion configurations, these examples work seamlessly with the new Log Management and Analytics powered by Grail that provides answers with any analysis at any time. Log ingestion strategy no. 1: Welcome syslog, with the help of Fluentd. Syslog is a popular standard for transporting and Ingesting log messages.

Strategy 189

Strategy AWS Open Source Transportation 189

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. The resulting usage statistics are ingested into the Dynatrace platform for further analysis.

Metrics 143

Metrics Open Source Lambda Serverless 143

Dynatrace

APRIL 11, 2023

Dynatrace Runtime Vulnerability Analysis now covers the entire application stack – blog Automatic vulnerability detection at runtime and AI-powered risk assessment further enable DevSecOps automation. Learn more. Learn how to automate DevSecOps at scale.

Cloud 195

Cloud DevOps Open Source Retail 195

Dynatrace

NOVEMBER 8, 2021

Root-cause analysis. A truly modern APM solution provides business analytics, such as conversions, release success, and user outcomes across web, mobile, and IoT channels, linking application performance to business KPIs. Insight into business KPIs.

Artificial Intelligence 238

Artificial Intelligence Monitoring Infrastructure Cloud 238

Dynatrace

OCTOBER 1, 2021

Business analytics : Organizations can combine business context with full stack application analytics and performance to understand real-time business impact, improve conversion optimization, ensure that software releases meet expected business goals, and confirm that the organization is adhering to internal and external SLAs.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

JANUARY 12, 2021

Distributed traces across open source and cloud-native architectures — Analyze transactions end-to-end across cloud-native technologies, including OpenTelemetry, W3C Trace Context, service mesh, and serverless computing to eliminate gaps, blind spots, and incomplete traces. Turning raw data into actionable business intelligence.

Monitoring 201

Monitoring Artificial Intelligence DevOps Serverless 201

Dynatrace

JUNE 1, 2021

Root-cause and impact analysis of application performance problems and business outcomes for faster, more reliable incident resolution. Business KPIs and user journey analysis (for example, login to check out) to optimize user experiences and provide transparency into how changes impact KPIs. User experience and business analytics.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

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

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. The reportWebVitals function. The reportWebVitals function.

Performance 74

Performance Cache Traffic Metrics 74

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 141

Cloud Serverless AWS Architecture 141

All Things Distributed

JUNE 21, 2018

In-memory: Financial services, Ecommerce, web, and mobile application have use cases such as leaderboards, session stores, and real-time analytics that require microsecond response times and can have large spikes in traffic coming at any time. Search: Many applications output logs to help developers troubleshoot issues.

Database 167

Database AWS Games Latency 167