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 228

AWS Lambda Artificial Intelligence Serverless 228

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. This gives operations teams end-to-end visibility down to the code level. AI-powered analytics —Automatic root cause detection . Ease of ingestion —with AWS Distro for OpenTelemetry .

AWS 223

AWS Lambda Serverless Metrics 223

Dynatrace

DECEMBER 20, 2022

This Provider Lens research analyzes trends and challenges associated with cloud-native observability and assesses capabilities surrounding observability for technologies such as Kubernetes and serverless. Davis AI eliminates alert noise, automatically analyzes trends, and provides automatic root-cause analysis down to the code level. “AI-powered

Cloud 130

Cloud Serverless Open Source Analytics 130

Dynatrace

MARCH 22, 2023

The advent of microservices and serverless computing means that cloud-based applications may consist of thousands of containerized services. To avoid these problems, set up automated DevSecOps release validation and security gates so that no insecure code progresses to production.

Open Source 198

Open Source Artificial Intelligence Internet Internet 198

Dynatrace

JANUARY 23, 2024

Building observability-as-code into platform engineering enables automatic service-level objective creation, defined ownership, enriched context, and problem routing to ensure platforms remain available and reliable for developers. And the ability to easily create custom apps enables teams to do any analytics at any time for any use case.

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

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. APM solutions track key software application performance metrics using monitoring software and telemetry data. Dynatrace news.

Artificial Intelligence 232

Artificial Intelligence Monitoring Infrastructure Cloud 232

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

APRIL 11, 2023

For example, the open source Java library at the heart of the Log4Shell crisis in 2021 was patched within days given the pervasiveness of the code. How vulnerabilities are evaluated – platform module Learn the mechanism that Dynatrace Application Security uses to generate third-party vulnerabilities and code-level vulnerabilities.

Cloud 186

Cloud DevOps Open Source Retail 186

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. Actionable analytics across the?entire Serverless can accelerate innovation (and introduce blind spots). AI-powered answers, provided by?Dynatrace Dynatrace Davis AI.

Lambda 209

Lambda Serverless AWS Mobile 209

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. Optimize timing hotspots.

Serverless 236

Serverless Azure Monitoring Lambda 236

Dynatrace

NOVEMBER 18, 2021

Log entries related to individual transactions can be spread across multiple microservices or serverless workloads. With PurePath ® distributed tracing and analysis technology at the code level, Dynatrace already provides the deepest possible insights into every transaction. Automatically connect logs and distributed traces at scale.

Analytics 224

Analytics Cloud Java Serverless 224

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. Optimize timing hotspots.

Serverless 141

Serverless Azure Monitoring Lambda 141

Dynatrace

MARCH 6, 2024

As a result, teams can focus on writing code and building features rather than dealing with infrastructure nuances. They shouldn’t worry about the platform; they should just start writing code.” “IDPs are not constrained to building microservices or a new serverless app,” Grabner noted.

Engineering 241

Engineering Development DevOps Infrastructure 241

Dynatrace

FEBRUARY 23, 2022

Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. But increased speed creates a tradeoff: According to another study, nearly half of organizations consciously deploy vulnerable code because of time pressure. Increased adoption of Infrastructure as code (IaC).

Serverless 265

Serverless Infrastructure Innovation DevOps 265

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 294

Lambda AWS Programming Serverless 294

Dynatrace

NOVEMBER 17, 2020

Technical complexity has shifted from the actual code to the interdependencies between services. 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. Automatic topology analysis.

Analytics 156

Analytics Technology Technology Cloud 156

Adrian Cockcroft

MAY 6, 2023

They were able to re-use most of their working code by combining it into a single long running microservice that is horizontally scaled using ECS, and which is invoked via a lambda function. This is only one of many microservices that make up the Prime Video application.

Serverless 145

Serverless Lambda Best Practices Traffic 145

Dynatrace

JANUARY 12, 2021

Observability is the new standard of visibility and monitoring for cloud-native architectures. Requirements to achieve multicloud observability and monitoring. Environments with multiple cloud service providers that deploy microservices, containers, and Kubernetes systems require a more dynamic, modern approach to monitoring.

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

Azure 137

Azure Serverless IoT Lambda 137

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

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. From code to app to code Apps built with Dynatrace AppEngine can take different forms.

Government 164

Government Serverless Analytics Metrics 164

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.

Cloud 244

Cloud Serverless Innovation Architecture 244

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. Deep-code execution details. Dynatrace news. Heterogeneous cloud-native microservice architectures can lead to visibility gaps in distributed traces.

Java 233

Java Traffic Strategy Architecture 233

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. But before that new code can be deployed, it needs to be tested and reviewed from a security perspective. Analyze the data. Execute an action plan.

DevOps 196

DevOps Artificial Intelligence Healthcare Innovation 196

Dynatrace

NOVEMBER 10, 2022

The service mesh adds a layer of monitoring into the application to complement a microservices architecture. This infrastructure is a type of cloud computing service — also known as infrastructure-as-as-service — that teams replace rather than change using automation software and declarative code. Service mesh.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

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. Multicloud observability enables IT teams to focus on what matters most.

Cloud 168

Cloud Lambda Serverless AWS 168

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

Smashing Magazine

SEPTEMBER 24, 2021

Vercel and Netlify also use serverless functions for the Server Side Rendering, which is the most efficient way to scale out. The code you write visualizes instantly in your browser and productivity goes through the sky. The smallest changes in your code can lead to a drop in performance and other Core Web Vitals. Challenges.

Website 114

Website Code Servers Analytics 114

Dynatrace

MAY 23, 2022

IDC predicted, by 2022, 90% of all applications will feature microservices architectures that improve the ability to design, debug, update, and use third-party code. Monolithic architecture is development where an application is built on a single codebase, and the code is unilateral. Less code and stack lock-in. Better testing.

Architecture 195

Architecture DevOps Monitoring Programming 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

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

All Things Distributed

JUNE 21, 2018

Developers rely on the functionality of the relational database (not the application code) to enforce the schema and preserve the referential integrity of the data within the database. Developers can persist data using the same document model format that they use in their application code.

Database 167

Database AWS Games Latency 167

Smashing Magazine

AUGUST 3, 2023

HTML Processing Once a web page’s HTML file has been downloaded, the browser begins to process the contents line by line, translating code into the visual website that users interact with. We can then forward this data to a custom analytics service. Everything in one single 528-pages book. Here’s how we do it at Bookaway.

Performance 74

Performance Cache Traffic Metrics 74