Dynatrace

JANUARY 19, 2021

With our enhanced AWS Lambda extension , we bring the power of Dynatrace PurePath 4 automatic tracing technology to serverless function observability. Serverless can accelerate innovation (and introduce blind spots). However, while they provide significant benefits, serverless functions also pose several challenges.

Lambda 233

Lambda Serverless AWS Mobile 233

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. Stay tuned for updates. recent blogs.

Serverless 211

Serverless Azure Lambda AWS 211

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.”. Monitor your serverless applications with just two clicks.

Serverless 245

Serverless Azure Monitoring Lambda 245

Dynatrace

OCTOBER 8, 2020

This means, you don’t need to change even a single line of code in the serverless functions themselves. Serverless functions extend applications to accelerate speed of innovation. These serverless functions allow developers to focus on their business logic. So please stay tuned!

Lambda 318

Lambda AWS Programming Serverless 318

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.”. Monitor your serverless applications with just two clicks.

Serverless 150

Serverless Azure Monitoring Lambda 150

Dynatrace

APRIL 8, 2021

In a previous blog post , we covered how Lambda functions work under the hood. Also, “serverless” means more than just Lambda functions. When using Lambda, you might soon end up using more serverless offerings, like databases, which makes emulating the same environment locally even harder. Are you new to Dynatrace?

Lambda 206

Lambda AWS Serverless Monitoring 206

Dynatrace

APRIL 8, 2021

In a previous blog post , we covered how Lambda functions work under the hood. Also, “serverless” means more than just Lambda functions. When using Lambda, you might soon end up using more serverless offerings, like databases, which makes emulating the same environment locally even harder. Are you new to Dynatrace?

Lambda 239

Lambda AWS Serverless Monitoring 239

Dynatrace

NOVEMBER 17, 2020

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. So please stay tuned for updates. In the end, however, all these technologies must work together. Davis doesn’t rely on data correlation.

Analytics 172

Analytics Technology Technology Cloud 172

Dynatrace

FEBRUARY 25, 2021

Since its introduction by AWS in 2014, AWS Lambda has revolutionized the compute space and boosted the entire serverless movement. Gartner predicts that by 2025, 50% of all global enterprises will have deployed serverless function platforms as a service (fPaaS), up from only 20% today. Stay tuned?for Dynatrace news.

Lambda 243

Lambda AWS Monitoring Serverless 243

Dynatrace

NOVEMBER 27, 2020

Welcome back to the second part of our blog series on how easy it is to get enterprise-grade observability at scale in Dynatrace for your OpenTelemetry custom metrics. For demonstrating the annotation of OpenTelemetry custom metrics with useful semantics, we’ve set up a shopping cart microservice example using serverless technologies on AWS.

Metrics 148

Metrics Open Source Lambda Serverless 148

Dynatrace

DECEMBER 9, 2020

Dynatrace provides information on every request, through every single microservice or serverless function, ultimately eliminating existing blind spots or visibility gaps in end-to-end traces. Stay tuned for upcoming announcements around OpenTracing and OpenTelemetry. Please share your feedback with us at Dynatrace Answers.

Java 253

Java Traffic Serverless Architecture 253

Dynatrace

APRIL 20, 2022

Guest blog from Andrian Gonciaz , Lead QA/SRE at Kitopi, in collaboration with Wolfgang Beer and Andreas Grabner (both Dynatrace). In this blog, I want to walk you through the learnings during our POC (Proof of Concept), what solution we have in place right now and what future ideas we have. Dynatrace news.

Metrics 223

Metrics Mobile Internet Internet 223

Dynatrace

JUNE 17, 2019

as of the writing of this blog). keptn builds on top of Knative , a platform for container-based serverless workloads. In my presentations, I always show how the keptn CLI command for “wearing” a uniform will most likely look like (stay tuned and follow the progress keptn makes). appeared first on Dynatrace blog.

Cloud 212

Cloud Open Source Traffic Architecture 212

The Netflix TechBlog

NOVEMBER 2, 2021

Cosmos offers several benefits as highlighted in the linked blog, such as separation of concerns, independent deployments, observability, rapid prototyping and productization. There is an external-facing API layer (Optimus), a rule-based video quality workflow layer (Plato) and a serverless compute layer (Stratum).

Media 179

Media Innovation Metrics Latency 179

Dynatrace

JULY 16, 2020

The Fan-Out/Fan-In pattern is nowadays found when building serverless functions for high scalability. You might also call it divide and conquer which has been around even before serverless existed. The post Managing the Dynatrace API across multiple thousand environments appeared first on Dynatrace blog.

Cache 237

Cache Serverless Efficiency Tuning 237

All Things Distributed

APRIL 9, 2015

The Amazon ML console and API provide data and model visualization tools, as well as wizards to guide you through the process of creating machine learning models, measuring their quality and fine-tuning the predictions to match your application requirements. Details on the AWS Blog. Details on the AWS Blog. for a while already.

Lambda 119

Lambda Cloud IoT AWS 119

Abhishek Tiwari

JULY 20, 2019

Secondly, fine-tune team composition based on work. Velocity over predictability I covered this briefly in one of my recent blog posts. With the emergence of versioned serverless functions and per-branch environments, teams have several tools on their disposal to unblock themselves. Why this is so important?

Engineering 61

Engineering Retail Airlines Healthcare 61