Dynatrace

JANUARY 19, 2021

With our enhanced AWS Lambda extension , we bring the power of Dynatrace PurePath 4 automatic tracing technology to serverless function observability. Actionable analytics across the?entire Serverless can accelerate innovation (and introduce blind spots). Dynatrace news. AI-powered answers, provided by?Dynatrace

Lambda 205

Lambda Serverless AWS Mobile 205

Adrian Cockcroft

FEBRUARY 13, 2023

SUS302 Optimizing architectures for sustainability — Katja Philipp AWS SA and Szymon Kochanski AWS SA. It includes a demo of AWS Twinmaker and a discussion of lithium battery production and recycling by Northvolt in Sweden, who are using serverless on AWS to build factories-as-code. SUS209 — there was no talk with this code.

AWS 64

AWS Energy Architecture Programming 64

Dynatrace

JANUARY 12, 2022

In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems. Easily troubleshoot anomalies with technology-specific views.

Analytics 183

Analytics Systems DevOps Healthcare 183

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes.

Analytics 231

Analytics Artificial Intelligence Storage Serverless 231

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. New cloud-native technologies make observability more important than ever….

Analytics 154

Analytics Technology Technology Cloud 154

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Azure Functions is the serverless computing offering from Microsoft Azure.

Serverless 234

Serverless Azure Monitoring Lambda 234

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Azure Functions is the serverless computing offering from Microsoft Azure.

Serverless 140

Serverless Azure Monitoring Lambda 140

Dynatrace

FEBRUARY 23, 2022

As DevSecOps practices gather steam in 2022, there are several concurrent technology trends that will likely further DevSecOps adoption. As a result, Git becomes the single source of truth and control mechanism for creating, updating, and deleting system architecture dynamically. Serverless architecture expands.

Serverless 261

Serverless Infrastructure Innovation DevOps 261

Dynatrace

MAY 23, 2022

As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Traditional monolithic architectures are built around the concept of large applications that are self-contained, independent, and incorporate myriad capabilities. What is monolithic architecture?

Architecture 192

Architecture DevOps Monitoring Programming 192

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 136

Azure Serverless IoT Lambda 136

Dynatrace

MAY 19, 2023

Network traffic growth is the main reason for increasing spending, largely because of the adoption of hybrid and multi-cloud architectures. 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.

Network 212

Network Monitoring Performance Traffic 212

Dynatrace

SEPTEMBER 28, 2020

As part of the Cloud – Native Container Services report, ISG designed the Cloud-Native Observability Quadrant to help organizations select the best observability solution for cloud-native environments that use Kubernetes, service mesh, microservices, and serverless architectures. Dynatrace news.

Cloud 243

Cloud Serverless Innovation Architecture 243

Dynatrace

DECEMBER 9, 2020

Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Observability for heterogeneous cloud-native technologies is key. Dynatrace news. Announcing seamless integration of OpenTracing data into Dynatrace PurePath 4.

Java 230

Java Traffic Strategy Architecture 230

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 59

Analytics Social Media Ecommerce Serverless 59

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

O'Reilly

MAY 19, 2020

O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. We imagine that companies in the software industry are more likely to be early (or mid-stage) adopters of technologies like cloud computing. 10,000 or more employees.

Cloud 141

Cloud Serverless AWS Architecture 141

Dynatrace

JANUARY 12, 2021

Observability is the new standard of visibility and monitoring for cloud-native architectures. This capability provides the context needed to make sense of data no matter where in the entire technology stack it originated. Observability brings multicloud environments to heel. Turning raw data into actionable business intelligence.

Monitoring 188

Monitoring Artificial Intelligence DevOps Serverless 188

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 166

Cloud Lambda Serverless AWS 166

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 makes developing, operating, and securing modern applications and the environments they run on practically impossible without AI.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Smashing Magazine

MAY 17, 2021

Over time, we’ve evolved through a variety of static site generators, JavaScript frameworks, and server technologies. 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. Large preview ). Large preview ).

Google 93

Google Analytics Serverless Metrics 93

Dynatrace

JUNE 1, 2021

All these terms refer to related technology and practices. APM has rapidly expanded to encompass a broad range of technologies and use cases. Application architecture to gain insights into how application architecture changes impact performance and user experience. Why businesses need APM. What does APM do?

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Smashing Magazine

SEPTEMBER 24, 2021

Over those years, we have seen the technology stack evolve from server-rendered pages with some minor JavaScript and CSS to full-blown JavaScript applications. Vercel and Netlify also use serverless functions for the Server Side Rendering, which is the most efficient way to scale out. Jonne Kats. 2021-09-24T10:00:00+00:00. Challenges.

Website 113

Website Code Servers Analytics 113

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

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Traditional CMS is a dead end In the last 5 years, traditional CMS landscape is not evolved much - both CMS technologies as well market maturity remains unchanged.

Systems 63

Systems Cache Website Network 63