Dynatrace

FEBRUARY 9, 2022

In addition to existing support for AWS Lambda , this support now covers Microsoft Azure Functions and Google Cloud Functions as well as managed Kubernetes environments, messaging queues, and cloud databases across all major cloud providers. 3 End-to-end distributed trace including Azure Functions. New to Dynatrace?

Serverless 193

Serverless Azure Lambda AWS 193

Dynatrace

OCTOBER 10, 2022

Popular examples include AWS Lambda and Microsoft Azure Functions , but new providers are constantly emerging as this model becomes more mainstream. No infrastructure to maintain. Because cloud providers own and manage back-end infrastructure, local IT teams aren’t responsible for ongoing maintenance and upgrades.

Serverless 169

Serverless Infrastructure Lambda Latency 169

Dynatrace

MAY 8, 2023

There, the Davis AI engine monitors this data in context. Additionally, Dynatrace provides organizations with more than 625 integrations, including AWS Lambda, Microsoft Azure Functions, Google Cloud Functions, and more. Dynatrace brings all an organization’s open source data into one place.

Open Source 213

Open Source Strategy Lambda Metrics 213

Dynatrace

NOVEMBER 22, 2021

When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. What are the typical use cases for AWS Lambda?

AWS 233

AWS Lambda Artificial Intelligence Serverless 233

Dynatrace

JULY 7, 2022

While microservices vs. monolithic architecture is a common debate, organizations have other considerations, like service-oriented architecture (SOA), tools, monitoring solutions, and potential migration issues. Additional complexity and monitoring challenges. As part of that complexity, monitoring microservices can become a challenge.

Architecture 206

Architecture Serverless Azure Programming 206

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. Observability and monitoring challenges with Google Cloud Functions.

Google 227

Google Cloud Serverless Azure 227

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. Many customers try to use traditional tools to monitor and observe modern software stacks, but they struggle to deal with the dynamic and changing nature of cloud environments.

Cloud 231

Cloud Serverless Hardware Operating System 231

Dynatrace

AUGUST 21, 2023

If a microservice falls in the forest and all your monitoring solutions report it differently, can operators accurately trace what happened and automate a response? Different monitoring point solutions, such as Jaeger, Zipkin, Logstash, Fluentd, and StatsD, each have their own way of observing and recording such an event.

Open Source 202

Open Source Analytics Lambda Metrics 202

Dynatrace

JANUARY 20, 2022

Azure supporting services (Synapse Analytics). Instead of displaying the Deep monitoring switch as unavailable, it displays the state ( On or Off ) and either Default (with a tooltip for further information) or Manual override (if a state override is set). Masking v1. Masking v2. See Available metrics. Dynatrace API.

Lambda 185

Lambda AWS Metrics Azure 185

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. The primary challenge being not able to access the underlying infrastructure metrics. Monitoring. Monitoring Serverless Applications. Scalability. You can’t just set it and forget it.

Serverless 57

Serverless Monitoring Lambda Latency 57

The Morning Paper

FEBRUARY 27, 2020

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., Thus it’s common to use some form of phased rollout, monitoring progress as you go, with the idea of rolling back a change if it looks like it’s causing problems. NSDI’20. Gandalf system design.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

IO River

NOVEMBER 2, 2023

The code is declarative, which means you specify what you want the final configuration to look like, and Terraform ensures the infrastructure matches that desired state.‍So, ‍Terraform is a revolution in the way we handle infrastructure. Background‍The idea of managing infrastructure through code wasn't initiated by HashiCorp.

Open Source 52

Open Source DevOps AWS Azure 52

cdemi

FEBRUARY 20, 2017

Rapid Development - You can quickly deploy a function without having to worry about infrastructure resources and growth. Whether you choose Azure Functions or AWS Lambda, you cannot easily switch to another. On Public Clouds: Microsoft: Azure Functions. Amazon: AWS Lambda. Disadvantages. IBM: OpenWhisk.

Serverless 64

Serverless Architecture Lambda Azure 64

IO River

NOVEMBER 2, 2023

The code is declarative, which means you specify what you want the final configuration to look like, and Terraform ensures the infrastructure matches that desired state.‍So, What Exactly is Terraform?‍Terraform Terraform is a revolution in the way we handle infrastructure.

Open Source 40

Open Source DevOps AWS Azure 40

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

Enprowess

JANUARY 12, 2022

Increased efficiency and productivity: Resource utilization can be raised, and we can monitor natural resources by identifying the functionality and working of each device. This architecture runs on cloud technology, and developers can focus on the code instead of the scaling, maintenance, and infrastructure facilities. Image Source.

Blockchain 59

Blockchain IoT Development Serverless 59