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. Use fewer resources.

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. Use fewer resources.

Architecture 246

Architecture Software Software Development 246

Dynatrace

MARCH 16, 2022

We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks. After a function is executed, Lambda logs both the actual duration of the function and the billed duration of the function.

Metrics 246

Metrics Lambda Infrastructure Monitoring 246

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 145

Serverless Lambda Monitoring AWS 145

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. What is Google Cloud Functions? How Google Cloud Functions works.

Google 246

Google Cloud Serverless Azure 246

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 246

Open Source Strategy Lambda Metrics 246

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 246

AWS Lambda Artificial Intelligence Serverless 246

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. This means companies can access the exact resources they need whenever they need them, rather than paying for server space and computing power they only need occasionally.

Serverless 241

Serverless Infrastructure Lambda Latency 241

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. With monolithic architecture, components all coexist in a single deployment. Common problems with monolithic architecture. This helps to keep individual services more lightweight.

Architecture 246

Architecture Serverless Azure Programming 246

Dynatrace

AUGUST 21, 2023

But, as Justin Scherer, senior software engineer from Northwestern Mutual found, OpenTelemetry by itself is not a panacea. This visibility extended across their distributed environment, including AWS Lambda and Microsoft Azure. What is OpenTelemetry? So they turned to OpenTelemetry, which provided a GraphQL plugin. “We

Open Source 246

Open Source Analytics Lambda Metrics 246

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 170

AWS Monitoring Ecommerce Lambda 170

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 144

Cloud Serverless AWS DevOps 144

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.) 1 in tools used.

Serverless 94

Serverless Architecture FinTech Infrastructure 94

The Morning Paper

FEBRUARY 27, 2020

This paper describes Gandalf, the software deployment monitor in production at Microsoft Azure for the past eighteen months plus. At a high level Gandalf looks like this: It ingests performance data, failure signals, and component update events and passes them through both fast and slow paths (a lambda architecture).

Infrastructure 68

Infrastructure Analytics Cloud Hardware 68

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

Testsigma

JUNE 23, 2021

In case you need instant help, you can connect with Testsigma’s dedicated test automation architects and DevOps engineers, who are available all the time for quick assistance. Testsigma’s support team is available 24×7 to help you with your queries and get you started smoothly. PC: freepik.com. Easy integration into the CI/CD pipeline.

Speed 52

Speed Software Software DevOps 52

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

Technologies like Microsoft Bot framework, Facebook Bot Engine, and DailougeFlow open-source builds these bots. IBM OpenWhisk, Microsoft Azure, AWS Lambda, and Google Cloud Functions are famous names that provide server-less services. Serverless Computing – AWS Lambda – Amazon Web Services. Image Source.

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

Dynatrace

OCTOBER 3, 2024

Dynatrace support for AWS Data Firehose includes AWS Lambda logs, Amazon Virtual Private Cloud (VPC) flow logs, Amazon S3 logs, and Amazon CloudWatch. Ingest data remotely through cloud integrations covering Amazon CloudWatch, Azure Monitor, Azure Liftr, and Google Cloud™ Kubernetes with GKE™ AutoPilot cluster.

Cloud 299

Cloud Lambda AWS Analytics 299

O'Reilly

NOVEMBER 26, 2024

Entirely new paradigms rise quickly: cloud computing, data engineering, machine learning engineering, mobile development, and large language models. It’s less risky to hire adjunct professors with industry experience to fill teaching roles that have a vocational focus: mobile development, data engineering, and cloud computing.

Education 110

Education Azure AWS Java 110