Dynatrace

MAY 19, 2023

For cloud operations teams, network performance monitoring is central in ensuring application and infrastructure performance. It’s more complex than it sounds.” As cloud entities multiply, along with greater reliance on microservices and serverless architectures, so do the complex relationships and dependencies among them.

Network 224

Network Monitoring Performance Traffic 224

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 304

Lambda AWS Programming Serverless 304

Dynatrace

NOVEMBER 9, 2022

Many organizations turn to cloud migration and cloud application modernization to gain the benefits of serverless environments, such as flexibility, scalability, and more cost-effective cloud infrastructure. . Developing a cloud application migration strategy . See how to use Dynatrace in your cloud migration strategy.

AWS 130

AWS Cloud Serverless DevOps 130

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 209

Infrastructure Monitoring Virtualization Serverless 209

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 186

Lambda AWS Serverless Hardware 186

Dynatrace

MAY 23, 2022

Cloud environment toolkits —microservices, Kubernetes, and serverless platforms — deliver business agility, but also create complexity for which many security solutions weren’t designed. Because of their flexibility, dynamic, ephemeral environments are more difficult to monitor in real time than traditional on-premises infrastructure.

Strategy 232

Strategy Innovation Cloud Serverless 232

Dynatrace

APRIL 22, 2022

As more organizations invest in a multicloud strategy, improving cloud operations and observability for increased resilience becomes critical to keep up with the accelerating pace of digital transformation. American Family turned to Dynatrace to help them monitor complex environments without the hassle.

Cloud 175

Cloud Lambda Serverless AWS 175

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. Its approach to serverless computing has transformed DevOps.

AWS 235

AWS Lambda Artificial Intelligence Serverless 235

Dynatrace

APRIL 8, 2021

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. Today, Lambda can be monitored by Dynatrace in hybrid environments, thereby satisfying the enterprise requirements.

Lambda 191

Lambda AWS Serverless Monitoring 191

Dynatrace

APRIL 8, 2021

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. Today, Lambda can be monitored by Dynatrace in hybrid environments, thereby satisfying the enterprise requirements.

Lambda 229

Lambda AWS Serverless Monitoring 229

Dynatrace

JANUARY 23, 2024

Why growing AI adoption requires an AI observability strategy – blog While AI adoption brings operational efficiency and innovation for organizations, it also introduces the potential for runaway AI costs. How can organizations use AI observability to optimize AI costs?

Performance 195

Performance DevOps Innovation Artificial Intelligence 195

Dynatrace

APRIL 8, 2019

As adoption rates for Azure continue to skyrocket, Dynatrace is developing a deeper integration with the Azure platform to provide even more value to organizations that run their businesses on Microsoft Azure or have Microsoft as a part of their multi-cloud strategy. Capture of complementary service metrics from Azure Monitor.

Azure 104

Azure Monitoring Serverless Virtualization 104

Dynatrace

NOVEMBER 2, 2020

Now, organizations are evolving their cloud strategy to include hybrid, multi-cloud, which enables cloud-native application development and deployment. development with containers and Kubernetes, serverless, and more. That’s why monitoring plays such a critical role in Azure environments. diverse use cases from?

Azure 254

Azure Serverless Innovation Cloud 254

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 253

DevOps Infrastructure Cloud Monitoring 253

Dynatrace

SEPTEMBER 13, 2023

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy. which shows your operational efficiency in your software delivery pipeline.

AWS 256

AWS Efficiency Azure Cloud 256

Dynatrace

DECEMBER 9, 2020

To address potentially high numbers of requests during online shopping events like Singles Day or Black Friday, it’s crucial that this online shop have a memory storage strategy that allows for speed, scaling, and resilience of all microservices, especially the shopping cart service.

Java 242

Java Traffic Strategy Architecture 242

Dynatrace

NOVEMBER 10, 2020

As a leader in cloud infrastructure and platform services , the Google Cloud Platform is fast becoming an integral part of many enterprises’ cloud strategies. 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. Dynatrace news. Your feedback.

Google 229

Google Cloud Serverless Innovation 229

Dynatrace

NOVEMBER 11, 2021

Indeed, organizations view IT modernization and cloud computing as intertwined with their business strategy and COVID-19 recovery plans. Further, Forrester predicted that 25% of developers will use serverless technologies and nearly 30% will use containers regularly by the end of 2021.

AWS 222

AWS Cloud Lambda Azure 222

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. It triggers the fault-tree analysis, so you begin analyzing with the monitored entity to which the metric belongs — the application. Analyze the data.

DevOps 205

DevOps Artificial Intelligence Healthcare Innovation 205

Dynatrace

JUNE 13, 2022

In recent years, the number of vulnerabilities has overtaken the ability to effectively monitor IT environments manually. Instead, they need to enlist software intelligence to monitor their systems end to end to identify and prioritize remediation efforts. Vulnerability monitoring in production must be a priority these days.

Open Source 229

Open Source DevOps Java Innovation 229

Dynatrace

OCTOBER 1, 2021

Although some people may think of observability as a buzzword for sophisticated application performance monitoring (APM) , there are a few key distinctions to keep in mind when comparing observability and monitoring. What is the difference between monitoring and observability? Is observability really monitoring by another name?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

JUNE 8, 2022

Because all these resources generate huge amounts of data in various locations, it makes it difficult to monitor. These challenges make Azure observability critical for building and monitoring cloud-native applications. One of the key monitoring strategies in the Cloud Adoption Framework is observability.

Azure 192

Azure Performance Infrastructure Cloud 192

O'Reilly

MAY 19, 2020

In other words, comparatively few respondent organizations appear to be pursuing dedicated multi-cloud strategies. If anything, organizations seem to be pursuing multi-cloud strategies—even if they aren’t explicitly “doing” multi-cloud. Serverless Stagnant. Amazon and AWS Ascendant. 4 By the same margins—i.e.,

Cloud 141

Cloud Serverless AWS Architecture 141

Dynatrace

APRIL 11, 2023

Observability is critical for monitoring application performance, infrastructure, and user behavior within hybrid, microservices-based environments. This includes collecting metrics, logs, and traces from all applications and infrastructure components. Learn how to automate DevSecOps at scale.

Cloud 195

Cloud DevOps Open Source Retail 195

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Mobile apps, websites, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

OCTOBER 28, 2019

It’s a pluggable, serverless event-based approach helping users transition from continuous delivery to continuous operations by building automation into continuous integration systems (like Concourse) across four key areas: Interested to learn more about Keptn – visit: www.keptn.sh . .

Innovation 102

Innovation Open Source Serverless Best Practices 102

Percona

JULY 1, 2023

These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. Download our eBook, “ Enterprise Guide to Cloud Databases ” to help you make more informed decisions and avoid costly mistakes as you develop and execute your cloud strategy.

AWS 52

AWS Database Serverless Storage 52

Smashing Magazine

AUGUST 3, 2023

These pages serve as a pivotal tool in our digital marketing strategy, not only providing valuable information about our services but also designed to be easily discoverable through search engines. While paid marketing strategies like Google Ads play a part in our approach as well, enhancing our organic traffic remains a major priority.

Performance 74

Performance Cache Traffic Metrics 74

Adrian Cockcroft

NOVEMBER 26, 2023

In this session, learn how to build automated, serverless AWS architectures to upload, extract, process, verify, and validate supply chain documents, accelerating end-to-end supply chain transparency. Explore an implementation of this architecture with PVH, the parent company of Tommy Hilfiger and Calvin Klein.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

JUNE 17, 2019

Automated Operations by integrating with full stack monitoring such as Dynatrace. keptn builds on top of Knative , a platform for container-based serverless workloads. link) use case in the keptn doc where you will use that same file creating a stage pipeline (dev, stage, prod) with different deployment and testing strategies.

Cloud 201

Cloud Open Source Traffic Architecture 201