Dynatrace

OCTOBER 28, 2019

Application workloads that are based on serverless functions—especially AWS Lambda, Azure Functions, and Google Cloud Functions— are a key trend in cloud-first application development and operations. To better understand real-world use cases and pain points, we have : Launched a Preview release of AWS Lambda monitoring.

Serverless 102

Serverless Lambda Monitoring AWS 102

Dynatrace

NOVEMBER 17, 2020

PurePath 4 supports serverless computing out-of-the-box, including Kubernetes services from Amazon Web Services (AWS) , Microsoft Azure , and Google Cloud Platform (GCP). FaaS like AWS Lambda and Azure Functions are seamlessly integrated with no code changes. Waterfall visualization of all requests.

Analytics 151

Analytics Technology Technology Cloud 151

Dynatrace

JULY 7, 2022

In fact, giants like Google and Microsoft once employed monolithic architectures almost exclusively. One large team generally maintains the source code in a centralized repository that’s visible to all engineers, who commit their code in a single build. With monolithic architecture, components all coexist in a single deployment.

Architecture 189

Architecture Serverless Azure Programming 189

Dynatrace

NOVEMBER 22, 2021

When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Common use-cases for AWS Lambda in the enterprise (and how to get observability for them. What are the typical use cases for AWS Lambda? What are the challenges related to operating Lambda functions? What is AWS Lambda?

AWS 219

AWS Lambda Artificial Intelligence Serverless 219

O'Reilly

MAY 19, 2020

. • AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. More than one-third have adopted site reliability engineering (SRE); slightly less have developed production AI services. .

Cloud 141

Cloud Serverless AWS Architecture 141

Dynatrace

SEPTEMBER 17, 2019

Dynatrace not only visualizes this and more data, but our deterministic AI engine – Davis – automatically detects anomalies across all monitored and observed entities: hosts, containers, services, proxies, end users and more. Engineers feel more empowered as they get immediate feedback on their code in production.

AWS 127

AWS Monitoring Ecommerce Lambda 127

O'Reilly

NOVEMBER 12, 2019

More than a fifth of the respondents work in the software industry—skewing results toward the concerns of software companies, and helping explain the preponderance of those with software engineering roles. As noted earlier, the majority of survey respondents are software engineers. latency, startup, mocking, etc.) Figure 13.

Serverless 88

Serverless Architecture FinTech Infrastructure 88

IO River

NOVEMBER 2, 2023

It’s not just limited to cloud resources like AWS and Azure; Terraform is versatile, extending its capabilities to key performance areas like Content Delivery Network (CDN) management, ensuring efficient content delivery and optimal user experience.‍Started Imagine building a high-tech car but only having access to a basic engine.

Open Source 52

Open Source DevOps AWS Infrastructure 52

Enprowess

JANUARY 12, 2022

The most preferred single-page applications are Gmail, Google Drive, Facebook, Twitter, and Instagram. Low data usage and Offline accessibility: It works fine in low internet reception and is also possible to access offline like Google Maps. Serverless Computing – AWS Lambda – Amazon Web Services. Examples of SPAs.

Blockchain 59

Blockchain IoT Development Serverless 59

IO River

NOVEMBER 2, 2023

This means that with Terraform, you can manage resources across multiple cloud providers, including AWS, Azure, Google Cloud, and more, using a single tool.‍A Imagine building a high-tech car but only having access to a basic engine. Terraform is a revolution in the way we handle infrastructure. Hold that thought.

Open Source 40

Open Source DevOps AWS Infrastructure 40

Abhishek Tiwari

NOVEMBER 3, 2018

In the CMS selection process, developer experience is not a factor, although successful implementation and ongoing maintenance require developer friendly tooling and support for modern software engineering practices. Not to mention, traditional CMS implementation cycle is generally waterfall or water-Scrum-fall at best.

Systems 63

Systems Cache Website Network 63