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 159

Lambda AWS Serverless Infrastructure 159

Dynatrace

APRIL 11, 2023

Today’s organizations face increasing pressure to keep their cloud-based applications performing and secure. As data from different corners of the enterprise proliferates, teams need a better way to bring data together to identify performance and security issues, minimize security risk, and drive greater business value.

Cloud 176

Cloud DevOps Open Source Retail 176

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

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. Dynatrace news. What is Azure Functions? The growth of Azure cloud computing.

Azure 135

Azure Serverless IoT Lambda 135

Dynatrace

NOVEMBER 10, 2022

Although redesigning applications sounds daunting, understanding how these architectures work will enable your organization to reap the performance and cost benefits of cloud hyperscalers. These loosely coupled, lightweight services typically perform a single function and can be chained together into an application. Microservices.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

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.

Cloud 241

Cloud Serverless Innovation Architecture 241

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. DevOps: Applying AIOps to development environments. DevOps can benefit from AIOps with support for more capable build-and-deploy pipelines.

DevOps 185

DevOps Artificial Intelligence Healthcare Innovation 185

Dynatrace

MAY 23, 2022

Combined with Agile or DevOps approaches and methodologies, enterprises can accelerate their ability to deliver digital services. Hard on DevOps. A significant part of DevOps discipline is effectively working in teams to distribute application and service development. Faster performance. Monolithic architecture cons.

Architecture 186

Architecture DevOps Monitoring Programming 186

Dynatrace

OCTOBER 1, 2021

As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments. In a monitoring scenario, you typically preconfigure dashboards that are meant to alert you to performance issues you expect to see later. But what is observability?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

NOVEMBER 8, 2021

Application performance monitoring (APM) solutions have evolved in recent years, and organizations now have plenty of options to choose from when selecting the right tools for their needs. APM solutions track key software application performance metrics using monitoring software and telemetry data. Dynatrace news.

Artificial Intelligence 223

Artificial Intelligence Monitoring Infrastructure Cloud 223

Dynatrace

JANUARY 12, 2021

IT, DevOps, and SRE teams are racing to keep up with the ever-expanding complexity of modern enterprise cloud ecosystems and the business demands they are designed to support. Report on the health of the system by measuring performance and resources. Dynatrace news. Leaders in tech are calling for radical change.

Monitoring 181

Monitoring Artificial Intelligence DevOps Serverless 181

Dynatrace

SEPTEMBER 13, 2023

The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks?

AWS 236

AWS Efficiency Azure Cloud 236

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Application performance management.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Adrian Cockcroft

FEBRUARY 13, 2023

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. DOP315 Sustainability in the cloud with Rust and AWS Graviton  — Emil Lerch AWS Principal DevOps Specialist and Esteban Kuber AWS Principal Software Engineer.

AWS 64

AWS Energy Architecture Programming 64

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

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. I am yet to find a traditional CMS vendor who can deliver this level of performance on the scale (millions of page views per day).

Systems 63

Systems Cache Website Network 63