Dynatrace

NOVEMBER 3, 2021

Dynatrace news. This trend is prompting advances in both observability and monitoring. But exactly what are the differences between observability vs. monitoring? Monitoring and observability provide a two-pronged approach. Monitoring vs. observability.

Monitoring 220

Monitoring Metrics DevOps Scalability 220

Dynatrace

DECEMBER 22, 2021

Dynatrace news. That’s why IT teams need both observability tools and an observability platform. To understand the distinction between observability tools and an observability platform, let’s start by defining observability. What is observability?

Artificial Intelligence 177

Artificial Intelligence Metrics Architecture DevOps 177

Dynatrace

DECEMBER 14, 2021

Dynatrace news. This revolutionary new mode of operations is like a self-flying managed Kubernetes aircraft.? Dynatrace’s automatic and intelligent observability naturally co-fly with GKE Autopilot. Hands-free fully managed Kubernetes. Prioritize anomalies and automatically determine the exact root-cause.

DevOps 221

DevOps Infrastructure Innovation Google 221

Dynatrace

MAY 26, 2021

Dynatrace news. From May 17 to May 18, 2021, the Open-Source Engineering team at Dynatrace attended the virtual observability conference, o11yfest. This blog dives into what we learned by listening to experts in the field and the key takeaways we gathered from the talks. SRE is becoming a key component of observability.

AWS 147

AWS Strategy Storage Metrics 147

Dynatrace

SEPTEMBER 13, 2023

But how can you ensure that your applications meet these pillars and deliver the best outcomes for your business? And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks?

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

OCTOBER 4, 2022

Existing observability and monitoring solutions have built-in limitations when it comes to storing, retaining, querying, and analyzing massive amounts of data. This goal isn’t limited to observability efforts. A data lakehouse addresses these limitations and introduces an entirely new architectural design.

Artificial Intelligence 267

Artificial Intelligence Analytics Storage Architecture 267

Dynatrace

OCTOBER 17, 2023

Over the past decade, observability vendors have built cost models that have not accounted for the explosive rise in data required by customers. Achieving customer-centric pricing: Answer-centric vs. ingest-centric pricing Today’s observability market primarily offers two pricing models: ingest-centric and answer-centric.

Retail 236

Retail Storage Best Practices Architecture 236

Dynatrace

NOVEMBER 29, 2021

Dynatrace news. In this post, we’ll review what this option means to you and how you continue to get the same automatic and intelligent end-to-end observability of AWS Lambda functions whether you choose x86 or Graviton2. How does Graviton2 compare to x86? With Graviton2, you can reduce execution duration.

Lambda 213

Lambda AWS Serverless Metrics 213

Dynatrace

NOVEMBER 17, 2020

Dynatrace news. New cloud-native technologies make observability more important than ever…. To quickly deploy new high-quality releases that deliver outstanding customer experiences and achieve your intended business outcomes, observability across all these technologies with distributed tracing is key.

Analytics 156

Analytics Technology Technology Cloud 156

Dynatrace

AUGUST 28, 2020

Dynatrace news. IT operations, application, infrastructure, and development teams all look to the topic of observability as the silver bullet to solve their problems. IT operations, application, infrastructure, and development teams all look to the topic of observability as the silver bullet to solve their problems.

IoT 160

IoT Infrastructure Monitoring Innovation 160

Dynatrace

JUNE 28, 2021

Dynatrace news. Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Many organizations respond by adding a proliferation of infrastructure monitoring tools, which in many cases, just adds to the noise.

Infrastructure 178

Infrastructure Monitoring Artificial Intelligence Open Source 178

Dynatrace

NOVEMBER 22, 2021

Dynatrace news. When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. These modern, cloud-native environments require an AI-driven approach to observability. In the following AWS re:Invent guide, we explore the benefits of observability through applied AI on AWS and other cloud environments.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

OCTOBER 15, 2020

Dynatrace news. The Dynatrace Software Intelligence Platform has long provided the industry’s first auto-instrumenting monitoring solution for Go. Improve cloud platform management with deeper insights into platform metrics. Improve cloud platform management with deeper insights into platform metrics.

Transportation 184

Transportation Monitoring Metrics Code 184

Dynatrace

MAY 23, 2022

Dynatrace news. As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. 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.

Architecture 194

Architecture DevOps Monitoring Programming 194

Dynatrace

JUNE 1, 2021

Dynatrace news. Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

APRIL 2, 2020

Dynatrace news. For two decades, Dynatrace NAM—Network Application Monitoring, formerly known as DC RUM—has been successfully monitoring the user experience of our customers’ enterprise applications. Read on to see how we at Dynatrace learn from the past so that we can improve the future.

Network 166

Network Traffic Monitoring Java 166