Dynatrace

JANUARY 26, 2021

The phrase “serverless computing” appears contradictory at first, but for years now, successful companies have understood the benefit of using serverless technologies to streamline operations and reduce costs. So what exactly does “serverless” mean, and how can your organization benefit from it?

Serverless 243

Serverless Efficiency Lambda Azure 243

Dynatrace

AUGUST 12, 2020

Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Serverless computing is a computing model that “allows you to build and run applications and services without thinking about servers.”. Azure Functions in a nutshell.

Serverless 141

Serverless Azure Monitoring Lambda 141

Dynatrace

JUNE 8, 2022

More than 95% of Fortune 500 companies use Microsoft Azure. Azure provides a wide variety of cloud services with globally distributed applications. Running containers in the cloud is also a very popular use case for Azure. These challenges make Azure observability critical for building and monitoring cloud-native applications.

Azure 182

Azure Performance Infrastructure Cloud 182

Dynatrace

MARCH 6, 2024

As a result, teams can focus on writing code and building features rather than dealing with infrastructure nuances. The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs. “It makes them more productive.

Engineering 239

Engineering Development DevOps Infrastructure 239

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 186

Azure Monitoring Virtualization Metrics 186

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. With a serverless approach, you can build and run applications and services without thinking about servers. Dynatrace news.

Serverless 103

Serverless Lambda Monitoring AWS 103

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. DevSecOps teams can tap observability to get more insights into the apps they develop, and automate testing and CI/CD processes so they can release better quality code faster.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

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.

Google 220

Google Cloud Serverless Azure 220

Dynatrace

AUGUST 11, 2022

Function as a service is a cloud computing model that runs code in small modular pieces, or microservices. FaaS enables developers to create and run a single function in the cloud using a serverless compute model. In-depth, AI-driven metrics can help to manage this simplicity. What is FaaS? How does function as a service work?

Development 249

Development Serverless Best Practices Lambda 249

Percona

FEBRUARY 24, 2023

Identifying which resources you can trim to reduce your monthly bill can be difficult, but looking at the right metrics will help you understand the application’s actual requirements. Configuration of the CPU metrics can be changed in the dashboard. These color-coded states on panels are available in PMM 2.32.0

Cloud 122

Cloud Serverless AWS Storage 122

Dynatrace

JULY 7, 2022

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. These teams typically use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code. Common problems with monolithic architecture.

Architecture 198

Architecture Serverless Azure Programming 198

Dynatrace

AUGUST 17, 2021

Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. Focused on delivering business value. Microservices benefits.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. Focused on delivering business value. Microservices benefits.

Architecture 244

Architecture Software Software Development 244

Dynatrace

NOVEMBER 17, 2020

Technical complexity has shifted from the actual code to the interdependencies between services. 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.

Analytics 155

Analytics Technology Technology Cloud 155

Dynatrace

DECEMBER 8, 2021

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. Just as the code is monolithic, so is the logging. Modern operating systems provide capabilities to observe and report various metrics about the applications running.

Cloud 225

Cloud Serverless Hardware Operating System 225

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 1: Automate AWS metrics ingestion with Dynatrace. 01 for every 1,000 metrics.

Cloud 167

Cloud Lambda Serverless AWS 167

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. Application development platforms live in the cloud and are always available.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

The Symphonia

DECEMBER 6, 2017

the Functions-as-a-Service (FaaS) platform which is the core of AWS’ larger Serverless service suite. Traffic shaping / canary deployment was pre-announced at Serverless Conf NYC in October, and this is now available. out-of-the-box metric?—?‘concurrent Let’s dig in! It’s no longer a niche technology for enthusiasts?—?it’s

Serverless 40

Serverless Lambda AWS Traffic 40

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Dynatrace news. Application performance management.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Percona

JULY 1, 2023

For those with applications already built on MySQL or PostgreSQL, migrating to Aurora is a straightforward process requiring minimal code changes, as it supports the same protocols, tools, and drivers. It’s Aurora Serverless. Percona Monitoring and Management (PMM) can also be used to gather metrics. Want to learn more?

AWS 52

AWS Database Serverless Storage 52