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. Set up in 3 easy steps.

Lambda 294

Lambda AWS Programming Serverless 294

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. AWS provides a suite of technologies and serverless tools for running modern applications in the cloud. And why it matters. Amazon EC2.

Best Practices 211

Best Practices AWS Monitoring Serverless 211

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. AL2023 is supported by Dynatrace on day one and has been thoroughly tested by our installations team. How does Dynatrace help?

AWS 281

AWS Lambda Serverless Virtualization 281

Dynatrace

NOVEMBER 29, 2021

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. In addition to the built-in views, Dynatrace provides data analysis tools that greatly enhance your abilities to query and chart metrics.

Lambda 213

Lambda AWS Serverless Metrics 213

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 225

Lambda AWS Serverless Latency 225

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. In Part 1 , we announced our new OpenTelemetry custom-metric exporters that provide the broadest language coverage on the market, including Go , .NET record(value); }.

Metrics 140

Metrics Open Source Lambda Serverless 140

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 166

Lambda AWS Serverless Infrastructure 166

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. It only costs about $.01

Cloud 168

Cloud Lambda Serverless AWS 168

Dynatrace

DECEMBER 20, 2022

ISG is a leading global technology research and advisory firm that supports clients across more than 20 industries and partners with 75 of the world’s top 100 enterprises. Additionally, the report and survey agreed cloud technologies introduce new complexities that traditional monitoring solutions struggle to overcome.

Cloud 130

Cloud Serverless Open Source Analytics 130

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 228

AWS Lambda Artificial Intelligence Serverless 228

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 180

Lambda AWS Serverless Hardware 180

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 130

Lambda AWS Serverless Infrastructure 130

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 221

Google Cloud Serverless Azure 221

Dynatrace

JANUARY 12, 2022

In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. Now, with technology-specific views, DevOps teams can see messaging system-related anomalies, which significantly simplifies troubleshooting efforts. This is great!

Analytics 186

Analytics Systems DevOps Healthcare 186

Dynatrace

JULY 7, 2022

Therefore, designated teams within an organization own various APIs and applications throughout their lifecycles and become leading in-house experts on the technologies they develop. Serverless platforms. Monitoring and alerting tools and protocols help simplify observability for all custom metrics. API gateways.

Architecture 200

Architecture Serverless Azure Programming 200

Dynatrace

JULY 29, 2021

The complexity of such deployments has accelerated with the adoption of emerging, open-source technologies that generate telemetry data, which is exploding in terms of volume, speed, and cardinality. To achieve this, Dynatrace uniquely creates a data model that represents all detected software components and their interdependencies.

Analytics 246

Analytics Open Source Serverless Architecture 246

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 224

Analytics Cloud Java Serverless 224

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 137

Azure Serverless IoT Lambda 137

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 234

Analytics Artificial Intelligence Storage Serverless 234

Dynatrace

FEBRUARY 15, 2023

Many organizations attempt to combine tools, products, and do-it-yourself solutions with custom code to fulfill custom use cases that are specific to their unique business requirements and technology stacks. AppEngine is a core technology within the Dynatrace platform. Everything thinkable is now possible.

Government 164

Government Serverless Analytics Metrics 164

Dynatrace

AUGUST 17, 2021

Teams can become leading experts on the technologies they develop. On the deployment side, smaller teams can launch services much faster using flexible containerized environments like Kubernetes or serverless functions like AWS Lambda, Google Cloud Functions, and Azure Functions. Microservices challenges. Limited observability.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

Teams can become leading experts on the technologies they develop. On the deployment side, smaller teams can launch services much faster using flexible containerized environments like Kubernetes or serverless functions like AWS Lambda, Google Cloud Functions, and Azure Functions. Microservices challenges. Limited observability.

Architecture 244

Architecture Software Software Development 244

Dynatrace

SEPTEMBER 9, 2022

Based on IDC’s research, 83% of enterprises are rationalizing, or optimizing, their technology infrastructure. Or, the team might use specific serverless designs as part of the modernization efforts. It’s important to create a baseline of metrics in an application modernization strategy.

Strategy 226

Strategy Benchmarking Serverless Infrastructure 226

Dynatrace

SEPTEMBER 13, 2023

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. Workflows are powered by a core platform technology of Dynatrace called the AutomationEngine. which shows your operational efficiency in your software delivery pipeline.

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

NOVEMBER 20, 2020

That embedded intelligence layer is what cuts through cloud complexity to automatically pinpoint an anomaly in a serverless app, Kubernetes pod, or cloud instance, and provides answers that are accurate and reliable enough to trigger auto-remediation procedures before users are affected. A new wave of innovation for AIOps.

Artificial Intelligence 250

Artificial Intelligence Serverless Analytics Innovation 250

Dynatrace

NOVEMBER 9, 2021

But the cloud is forcing a rethink of tooling, platforms, technologies, and services to power new, agile, applications and application components, that break down silos, and use AI and automation to accelerate innovation. And for observability to be successful, it requires much more than just logs, metrics, and traces.

DevOps 218

DevOps Innovation Cloud Programming 218

Dynatrace

SEPTEMBER 28, 2020

As part of the Cloud – Native Container Services report, ISG designed the Cloud-Native Observability Quadrant to help organizations select the best observability solution for cloud-native environments that use Kubernetes, service mesh, microservices, and serverless architectures. Dynatrace news.

Cloud 244

Cloud Serverless Innovation Architecture 244

Dynatrace

DECEMBER 22, 2021

Observability is made up of three key pillars: metrics, logs, and traces. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Observability tools, such as metrics monitoring, log viewers, and tracing applications, are relatively small in scope.

Artificial Intelligence 178

Artificial Intelligence Metrics Architecture DevOps 178

Dynatrace

DECEMBER 9, 2020

Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Observability for heterogeneous cloud-native technologies is key. Dynatrace news. Announcing seamless integration of OpenTracing data into Dynatrace PurePath 4.

Java 233

Java Traffic Strategy Architecture 233

The Symphonia

DECEMBER 6, 2017

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

Serverless 40

Serverless Lambda AWS Traffic 40

Dynatrace

JANUARY 12, 2021

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. This capability provides the context needed to make sense of data no matter where in the entire technology stack it originated.

Monitoring 191

Monitoring Artificial Intelligence DevOps Serverless 191

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. Most monitoring tools for migrations, development, and operations focus on collecting and aggregating the three pillars of observability— metrics, traces, and logs.

Azure 188

Azure Monitoring Virtualization Metrics 188

Dynatrace

MAY 9, 2022

The pilot cloud migration helps uncover risks related to process, operational, and technology changes. So, to rearchitect an application, use the service flow to understand the various services involved, the technology used to build the service — Figure 5 depicts Tomcat and MongoDB — and the number and percentage of requests.

Strategy 198

Strategy Cloud Infrastructure Metrics 198

Dynatrace

JUNE 13, 2022

Adopting cloud-native technologies and open source software makes applications more feature rich and scalable, but it also increases IT complexity. As organizations adopt cloud-native and open source technologies, their environments become more flexible. However, these technologies can increase complexity.

Open Source 221

Open Source DevOps Java Innovation 221

Dynatrace

NOVEMBER 8, 2021

APM solutions track key software application performance metrics using monitoring software and telemetry data. These solutions provide performance metrics for applications, with specific insights into the statistics, such as the number of transactions processed by the application or the response time to process such transactions.

Artificial Intelligence 232

Artificial Intelligence Monitoring Infrastructure Cloud 232

The Symphonia

MARCH 14, 2018

the Serverless Application Repository (SAR)?—?at The general goal of SAR is to make it easier to distribute, and consume, applications that have been developed using AWS Serverless products, like Lambda. Thanks to @ 3Nimbus / [link] What is the Serverless Application Repository? Enter the Serverless Application Repository.

Serverless 40

Serverless AWS Lambda Open Source 40

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 244

DevOps Infrastructure Cloud Monitoring 244