Dynatrace

FEBRUARY 9, 2022

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. AI-powered automation and deep, broad observability for serverless architectures. Dynatrace news.

Serverless 187

Serverless Azure Lambda AWS 187

Dynatrace

APRIL 21, 2022

As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. To guide organizations through their cloud migrations, Microsoft developed the Azure Well-Architected Framework. What is the Azure Well-Architected Framework?

Azure 188

Azure Monitoring Virtualization Metrics 188

O'Reilly

NOVEMBER 12, 2019

For the inaugural O’Reilly survey on serverless architecture adoption, we were pleasantly surprised at the high level of response: more than 1,500 respondents from a wide range of locations, companies, and industries participated. The high response rate tells us that serverless is garnering significant mindshare in the community.

Serverless 88

Serverless Architecture FinTech Infrastructure 88

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. Google Cloud Functions is a serverless compute service for creating and launching microservices. What is Google Cloud Functions?

Google 221

Google Cloud Serverless Azure 221

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Immutable infrastructure. The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Testsigma

MAY 19, 2021

DevOps and cloud-based computing have existed in our life for some time now. DevOps is a casket that contains automation as its basic principle. Today, we are here to talk about the successful amalgamation of DevOps and cloud-based technologies that is amazing in itself. Why Opt For Cloud-Based Solutions and DevOps?

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

Percona

FEBRUARY 24, 2023

Over-provisioned instances may lead to unnecessary infrastructure costs. PostgreSQL in the cloud CPU Considering AWS as your cloud platform of choice, the configuration made for your infrastructure will influence the performance of your application and monthly costs. become the responsibility of AWS, GCP, or Azure.

Cloud 122

Cloud Serverless AWS Storage 122

Dynatrace

JULY 7, 2022

A microservices approach enables DevOps teams to develop an application as a suite of small services. One team may build it, but three separate DevOps and IT teams must maintain it. Serverless platforms. Automatically detect all applications, services, processes, and infrastructure at the start. Service mesh.

Architecture 200

Architecture Serverless Azure Programming 200

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. AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. All told, we received 1,283 responses. .

Cloud 141

Cloud Serverless AWS Architecture 141

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 these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

JUNE 1, 2021

Automatic discovery and mapping of application and its infrastructure components to maintain real-time awareness in dynamic environments. Integration and automation with service management tools and third-party sources to keep pace with an expanding and evolving infrastructure. Improved infrastructure utilization.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

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. If you put your whole website on CDN, technically you don’t need a large number of server infrastructure and CMS licenses.

Systems 63

Systems Cache Website Network 63