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 224

Lambda AWS Serverless Latency 224

Dynatrace

APRIL 7, 2023

What is a Lambda serverless function? Despite being serverless, the function still requires infrastructure on which to run. Dynatrace The Dynatrace Software Intelligence Platform accelerates cloud operations, helping users achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability.

Lambda 215

Lambda AWS Serverless Latency 215

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

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. Observability with AWS and beyond.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

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

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments.

Performance 185

Performance DevOps Innovation Artificial Intelligence 185

Dynatrace

SEPTEMBER 23, 2021

An increasing number of companies are using cloud solutions for faster operations, greater flexibility, and to provide their customers with the best customer experience. This creates complex, heterogeneous, and highly dynamic cloud-native environments. AI-powered analytics —Automatic root cause detection . Get started today.

AWS 222

AWS Lambda Serverless Metrics 222

Dynatrace

NOVEMBER 8, 2021

Application performance monitoring (APM) solutions have evolved in recent years, and organizations now have plenty of options to choose from when selecting the right tools for their needs. Here’s a brief primer on APM and how it has changed for cloud-native environments, and some tips on what to look for in modern APM solutions.

Artificial Intelligence 231

Artificial Intelligence Monitoring Infrastructure Cloud 231

Dynatrace

SEPTEMBER 13, 2023

If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud.

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

MARCH 22, 2023

In today’s complex multicloud environments, ensuring that your cloud applications are protected and secure is critical. The advent of microservices and serverless computing means that cloud-based applications may consist of thousands of containerized services.

Open Source 197

Open Source Artificial Intelligence Internet Internet 197

Dynatrace

DECEMBER 15, 2022

While many organizations have embraced cloud observability to better manage their cloud environments, they may still struggle with the volume of entities that observability platforms monitor. The key to getting answers from log monitoring at scale begins with relevant log ingestion at scale. Log ingestion strategy no.

Strategy 179

Strategy AWS Open Source Transportation 179

Dynatrace

NOVEMBER 18, 2021

Cloud-native observability is a prerequisite for companies that need to meet these expectations. Log entries related to individual transactions can be spread across multiple microservices or serverless workloads. This provides a holistic view, advanced analytics, and AI-powered answers for cloud optimization and troubleshooting.

Analytics 223

Analytics Cloud Java Serverless 223

Dynatrace

JANUARY 31, 2022

Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. Companies often turn to serverless architecture to accelerate modernization efforts while simplifying IT management.

Serverless 176

Serverless Architecture Open Source Innovation 176

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. across hybrid and multi-cloud environments?. Actionable analytics across the?entire Serverless can accelerate innovation (and introduce blind spots). Dynatrace news.

Lambda 208

Lambda Serverless AWS Mobile 208

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.”. Simplify error analytics.

Serverless 236

Serverless Azure Monitoring Lambda 236

Dynatrace

MAY 19, 2023

For cloud operations teams, network performance monitoring is central in ensuring application and infrastructure performance. Network traffic growth is the main reason for increasing spending, largely because of the adoption of hybrid and multi-cloud architectures.

Network 215

Network Monitoring Performance Traffic 215

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes.

Analytics 233

Analytics Artificial Intelligence Storage Serverless 233

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.”. Simplify error analytics.

Serverless 141

Serverless Azure Monitoring Lambda 141

Dynatrace

NOVEMBER 17, 2020

New cloud-native technologies make observability more important than ever…. 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. This is where Dynatrace comes into play.

Analytics 156

Analytics Technology Technology Cloud 156

Dynatrace

NOVEMBER 10, 2022

Lifting and shifting applications from the data center to the cloud delivers only marginal benefits. Because cloud computing breaks application functions into many microservices, porting monolithic applications to the cloud unchanged can slow them down. So, what is cloud-native architecture, exactly? Service mesh.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

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 293

Lambda AWS Programming Serverless 293

Dynatrace

FEBRUARY 23, 2022

In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. That can be difficult when the business climate can prioritize speed. and 2.14.1.

Serverless 264

Serverless Infrastructure Innovation DevOps 264

Dynatrace

SEPTEMBER 28, 2020

I am excited to announce that ISG analysts positioned Dynatrace highest for portfolio attractiveness and competitive strength in the Cloud-Native Observability Solutions Quadrant. . Dynatrace’s deep understanding of enterprises’ cloud-native needs stand s out .

Cloud 244

Cloud Serverless Innovation Architecture 244

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 240

Engineering Development DevOps Infrastructure 240

Dynatrace

APRIL 20, 2023

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 186

Analytics Infrastructure Storage Efficiency 186

Dynatrace

JANUARY 12, 2021

IT, DevOps, and SRE teams are racing to keep up with the ever-expanding complexity of modern enterprise cloud ecosystems and the business demands they are designed to support. Observability is the new standard of visibility and monitoring for cloud-native architectures. Dynatrace news.

Monitoring 191

Monitoring Artificial Intelligence DevOps Serverless 191

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 growth of Azure cloud computing. Dynatrace news. What is Azure Functions?

Azure 137

Azure Serverless IoT Lambda 137

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. ski explains.

Cloud 168

Cloud Lambda Serverless AWS 168

Adrian Cockcroft

MAY 6, 2023

The problem is that they called this refactoring a microservice to monolith transition, when it’s clearly a microservice refactoring step, and is exactly what I recommend people do in my talks about Serverless First. His first edition in 2015 was foundational, and he updated it in 2021 with a second edition.

Serverless 145

Serverless Lambda Best Practices Traffic 145

O'Reilly

MAY 19, 2020

O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. Without further ado, here are the key results: • At first glance, cloud usage seems overwhelming. More than half of respondents use multiple cloud services. •

Cloud 141

Cloud Serverless AWS Architecture 141

Dynatrace

NOVEMBER 20, 2020

We believe this placement recognizes Dynatrace’s leadership in applying AI, automation, and advanced analytics to business and operations use cases to provide predictive and prescriptive answers to IT issues in real time. Other strengths include microservices, transaction, and customer experience (CX) monitoring, and intelligent analytics.

Artificial Intelligence 249

Artificial Intelligence Serverless Analytics Innovation 249

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

FEBRUARY 15, 2023

Especially when seamless end-to-end solutions are needed, it’s necessary to add relevant business context to data to unlock the value of insights that are hidden in the vast amount of observability, security, and business data derived from modern clouds, and overcome the challenges of data that’s locked in organizational silos.

Government 163

Government Serverless Analytics Metrics 163

Dynatrace

OCTOBER 17, 2022

However, as organizations adopt more cloud-native technologies, such as containerized microservices and serverless platforms, operations have become exponentially more complex. It triggers the fault-tree analysis, so you begin analyzing with the monitored entity to which the metric belongs — the application. AIOps use cases.

DevOps 195

DevOps Artificial Intelligence Healthcare Innovation 195

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

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. Heterogeneous cloud-native microservice architectures can lead to visibility gaps in distributed traces.

Java 232

Java Traffic Strategy Architecture 232

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