Dynatrace

OCTOBER 8, 2020

We’ve worked closely with our partner AWS to deliver a complete, end-to-end picture of your cloud environment that includes monitoring support for all AWS services. This means, you don’t need to change even a single line of code in the serverless functions themselves. Dynatrace news. and Python via traces.

Lambda 345

Lambda AWS Programming Serverless 345

Dynatrace

NOVEMBER 22, 2021

Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor.

Best Practices 246

Best Practices AWS Monitoring Serverless 246

Dynatrace

JANUARY 11, 2023

In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloud monitoring solutions on average. What is cloud monitoring? Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 295

Cloud Monitoring Best Practices Infrastructure 295

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. Dynatrace news. A small memory footprint.

Lambda 278

Lambda AWS Monitoring Serverless 278

Dynatrace

MARCH 12, 2025

Every software development team grappling with Generative AI (GenAI) and LLM-based applications knows the challenge: how to observe, monitor, and secure production-level workloads at scale. Production performance monitoring: Service uptime, service health, CPU, GPU, memory, token usage, and real-time cost and performance metrics.

Metrics 165

Metrics Serverless Analytics Innovation 165

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 145

Serverless Lambda Monitoring AWS 145

Dynatrace

JANUARY 12, 2021

Observability is the new standard of visibility and monitoring for cloud-native architectures. It’s powered by vast amounts of collected telemetry data such as metrics, logs, events, and distributed traces to measure the health of application performance and behavior. Observability brings multicloud environments to heel.

Monitoring 246

Monitoring Artificial Intelligence DevOps Serverless 246

Dynatrace

APRIL 25, 2023

As companies accelerate digital transformation, they implement modern cloud technologies like serverless functions. According to Flexera , serverless functions are the number one technology evaluated by enterprises and one of the top five cloud technologies in use at enterprises. What are serverless applications?

Serverless 246

Serverless Lambda Azure AWS 246

Dynatrace

JANUARY 8, 2020

And that includes infrastructure monitoring. With all this change, thinking about infrastructure monitoring in the same way as you did before is a big mistake. Just displaying a bunch of metrics on dashboards doesn’t help you solve problems – it overwhelms you with alerts and data. Able to provide answers, not just data.

Infrastructure 230

Infrastructure Cloud Monitoring Metrics 230

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Organizations are realizing the cost savings and management benefits of serverless automation. The benefits of serverless Lambda functions.

Lambda 258

Lambda AWS Serverless Hardware 258

Dynatrace

MARCH 14, 2023

Dynatrace provides server metrics monitoring in under five minutes, showing servers’ CPU, memory, and network health metrics all the way through to the process level, with no manual configuration necessary. Auto-detection starts monitoring new virtual machines as they are deployed. How does Dynatrace help?

AWS 306

AWS Lambda Serverless Virtualization 306

Dynatrace

NOVEMBER 2, 2020

This shift requires infrastructure monitoring to ensure all your components work together across applications, operating systems, storage, servers, virtualization, and more. What is infrastructure monitoring? . What to look for when selecting an infrastructure monitoring solution? It’s not hype, it’s the way forward.

Infrastructure 246

Infrastructure Monitoring Virtualization Serverless 246

Dynatrace

NOVEMBER 26, 2019

In today’s increasingly complex environments, it’s simply impossible for a human operator to manually follow the highly dynamic nature of transactions within microservices and serverless functions. detects suspicious metric behavior by analyzing the value distribution of metrics.

Engineering 69

Engineering Serverless Metrics Code 69

Dynatrace

NOVEMBER 29, 2021

Monitor your Graviton2-powered Lambda functions out of the box. When you add the Dynatrace extension to your Lambda functions, Dynatrace begins ingesting their metrics, logs, and traces, which you can monitor and correlate with data from the rest of your stack. Provide a foundation for metric calculation in charts on dashboards.

Lambda 246

Lambda AWS Serverless Metrics 246

Dynatrace

APRIL 6, 2022

AWS Lambda is one of the most popular serverless compute services in the market. Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Insights into how serverless functions impact user experience.

Lambda 242

Lambda AWS Serverless Infrastructure 242

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.

Cloud 242

Cloud Lambda Serverless AWS 242

Dynatrace

JULY 19, 2024

This integration simplifies monitoring and management, allowing organizations to focus on delivering exceptional user experiences. Traditionally, integrating monitoring into a main application container requires modifications to the container itself. Need to add or update monitoring tools? Decoupled integration. Flexibility.

Azure 245

Azure Serverless Monitoring Innovation 245

Dynatrace

SEPTEMBER 23, 2021

AWS Distro for OpenTelemetry provides an easy way to obtain telemetry data for monitoring critical business applications that run on AWS. Dynatrace is also the only monitoring solution on the market that provides full Real User Monitoring that gives you a 360-degree diagnostic view of your end users’ experience with your AWS applications.

AWS 246

AWS Lambda Serverless Metrics 246

Dynatrace

NOVEMBER 28, 2022

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies.

Lambda 246

Lambda AWS Serverless Latency 246

Dynatrace

APRIL 7, 2023

What is a Lambda serverless function? Despite being serverless, the function still requires infrastructure on which to run. Dynatrace provides AWS Lambda metrics monitoring in under five minutes, showing the function CPU, memory, and network health metrics all the way through to the process level.

Lambda 246

Lambda AWS Serverless Latency 246

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 246

Architecture Serverless Azure Programming 246

Dynatrace

NOVEMBER 10, 2020

As an example of what you can now achieve with Dynatrace monitoring of GCP, let’s take a look at the Google Cloud Function service. As a developer, you might use Google Cloud Function for serverless components. But the fact that there is no host to monitor makes this a challenge, especially if the failure rate is growing.

Google 264

Google Cloud Serverless Innovation 264

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. What is Google Cloud Functions?

Google 246

Google Cloud Serverless Azure 246

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 246

Cloud Serverless Hardware Operating System 246

Dynatrace

APRIL 8, 2019

With rich offerings available in platform services and the growing popularity of serverless application architectures, new challenges in monitoring have emerged. Say you have a Dynatrace-monitored application that uses Azure Service Bus queues, and you observe degradation in response time caused by the queue. The long way home.

Azure 150

Azure Monitoring Serverless Virtualization 150

Dynatrace

APRIL 5, 2021

Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The observability problem of the serverless approach. Dynatrace news.

Azure 204

Azure Serverless IoT Lambda 204

Dynatrace

JANUARY 12, 2022

In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. With other products, we had to make guesses about the impacted services based solely on metrics”. OneAgent extensions provide the technology-specific metrics. This is great! Apache Kafka.

Analytics 246

Analytics Systems DevOps Healthcare 246

Dynatrace

APRIL 29, 2021

Though serverless platforms relieve them from this burden, such platforms are built using Kubernetes alternatives that require different APIs, orchestration tools, and observability requirements. Flexible monitoring of pods with OneAgent on EKS. and Golang containers.

AWS 219

AWS Serverless Java Virtualization 219

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. Not just logs, metrics and traces. Dynatrace news.

AWS 246

AWS Lambda Artificial Intelligence Serverless 246

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. Just one command instruments your entire application environment for monitoring. Automatic topology analysis.

Analytics 236

Analytics Technology Technology Cloud 236

Dynatrace

NOVEMBER 20, 2020

Other strengths include microservices, transaction, and customer experience (CX) monitoring, and intelligent analytics. Most approaches to AIOps rely on machine learning and statistical analysis to correlate metrics, events, and alerts using a multi-dimensional model. But not all AIOps solutions work the same way.

Artificial Intelligence 279

Artificial Intelligence Serverless Analytics Innovation 279

Dynatrace

MARCH 6, 2024

During a breakout session at the Dynatrace Perform 2024 conference, Dynatrace DevSecOps activist Andreas Grabner and staff engineer Adam Gardner demonstrated how to use observability to monitor an IDP for key performance indicators (KPIs). “IDPs are not constrained to building microservices or a new serverless app,” Grabner noted.

Engineering 264

Engineering Development DevOps Infrastructure 264

Dynatrace

NOVEMBER 18, 2021

Log entries related to individual transactions can be spread across multiple microservices or serverless workloads. Manual and configuration-heavy approaches to putting telemetry data into context and connecting metrics, traces, and logs simply don’t scale. Automatically connect logs and distributed traces at scale.

Analytics 246

Analytics Cloud Java Serverless 246

Dynatrace

OCTOBER 4, 2022

The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously. For example, with just one query, your teams can achieve the following: Retrieve logs with historical business data, extract relevant business metrics, and aggregate the metrics into reports.

Analytics 264

Analytics Artificial Intelligence Storage Serverless 264

Dynatrace

SEPTEMBER 9, 2022

Or, the team might use specific serverless designs as part of the modernization efforts. Monitor and measure progress during the migration. Once a modernization plan is in place, strategize how to monitor and measure the process. It’s important to create a baseline of metrics in an application modernization strategy.

Strategy 264

Strategy Benchmarking Serverless Cloud 264

Dynatrace

DECEMBER 24, 2020

As organizations update their IT environments with the latest cloud-native technologies and architectures, teams need to weigh the effectiveness of traditional monitoring vs. modern, observability-based solutions to decide how to solve their existing challenges amid the growing complexity of their dynamic, multi-cloud environments.

DevOps 279

DevOps Cloud Infrastructure Monitoring 279

Dynatrace

APRIL 21, 2022

Most monitoring tools for migrations, development, and operations focus on collecting and aggregating the three pillars of observability— metrics, traces, and logs. Continuously monitor cost and optimize your capacity needs. But managing these three data types at a scale becomes unsustainable for even the most experienced teams.

Azure 246

Azure Monitoring Virtualization Metrics 246