Dynatrace

NOVEMBER 23, 2020

Today’s highly dynamic, heterogeneous, and complex software systems require organizations to establish observability for all provided cloud-native services. New OpenTelemetry metrics exporters provide the broadest language support on the market. Seamlessly export your OpenTelemetry custom metrics to Dynatrace. Dynatrace news.

Metrics 151

Metrics Open Source Tuning Analytics 151

Dynatrace

JULY 23, 2020

With the advent and ingestion of thousands of custom metrics into Dynatrace, we’ve once again pushed the boundaries of automatic, AI-based root cause analysis with the introduction of auto-adaptive baselines as a foundational concept for Dynatrace topology-driven timeseries measurements. In many cases, metric behavior changes over time.

Metrics 216

Metrics Innovation Strategy Monitoring 216

Dynatrace

MAY 17, 2022

Dynatrace Cloud Native Full Stack injection for Kubernetes, now officially released, provides unparalleled flexibility and scale for onboarding teams to AI-powered observability. From a cost perspective, internal customers waste valuable time sending tickets to operations teams asking for metrics, logs, and traces to be enabled.

Availability 322

Availability Scalability Cloud Metrics 322

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 142

Metrics Open Source Lambda Serverless 142

Dynatrace

APRIL 20, 2020

With Dynatrace Infrastructure Monitoring you get a complete solution for the monitoring of cloud platforms and virtual infrastructure, along with log monitoring and AIOps. Backing services like Kafka and ActiveMQ are perfect examples—both technologies are queueing services that are written in Java and can be monitored via JMX.

Infrastructure 151

Infrastructure Metrics Java Virtualization 151

Dynatrace

DECEMBER 5, 2023

ARM architecture, based on a processor type optimized for cloud and hyperscale computing, has become the most prevalent on the planet, with billions of ARM devices currently in use. This is a crucial factor for all data centers, cloud or managed, where power consumption and cooling costs are reflected in the total cost of ownership.

Efficiency 271

Efficiency Architecture Energy Monitoring 271

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. Therefore, the ability to view a real-time map of your applications, services, and cloud resources is key to your success. Get up to 300 new AWS metrics out of the box. Dynatrace news.

AWS 137

AWS Metrics IoT Storage 137

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. Therefore, the ability to view a real-time map of your applications, services, and cloud resources is key to your success. Get up to 300 new AWS metrics out of the box. Dynatrace news.

AWS 133

AWS Metrics IoT Storage 133

Dynatrace

FEBRUARY 10, 2021

Dynatrace launches Cloud Automation module for development, DevOps & SRE teams. Over the past few years, Dynatrace has been a keen voice in the field of DevOps and provided enterprise knowledge and expertise in the shape of Keptn, the open-source, cloud-native, lifecycle orchestration control plane developed as a CNCF sandbox project.

Cloud 171

Cloud DevOps Speed Azure 171

Percona

FEBRUARY 24, 2023

Label-based access control is a security mechanism that allows companies to control who can access specific metrics based on their labels. To simplify access management : Label-based access control can simplify access management by allowing companies to assign labels to metrics. to monitor and diagnose. +50

Metrics 104

Metrics Monitoring Database Engineering 104

Dynatrace

APRIL 25, 2023

As companies accelerate digital transformation, they implement modern cloud technologies like serverless functions. According to Flexera , serverless functions are the number one technology evaluated by enterprises and one of the top five cloud technologies in use at enterprises. And serverless support is a core capability.

Serverless 213

Serverless Lambda Azure AWS 213

Dynatrace

JANUARY 4, 2024

Great news: OpenTelemetry endpoint detection, analyzing OpenTelemetry services, and visualizing Istio service mesh metrics just got easier. As a CNCF open source incubating project, OpenTelemetry provides a standardized set of APIs, libraries, agents, instrumentation, and specifications for logging, metrics, and tracing.

Metrics 171

Metrics Open Source Tuning Infrastructure 171

Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity.

Analytics 191

Analytics Innovation Metrics Database 191

Dynatrace

NOVEMBER 17, 2020

New cloud-native technologies make observability more important than ever…. Dynatrace PurePath 4 extends automatic distributed tracing to OpenTelemetry and the latest cloud-native technologies. In this example you can see on the left side that the Envoy payment service is running on a Linux host, deployed in the Google cloud.

Analytics 159

Analytics Technology Technology Cloud 159

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. They may be used to, for example, integrate a new payment service or create a new interface for a booking platform. So please stay tuned! Dynatrace news.

Lambda 300

Lambda AWS Programming Serverless 300

Dynatrace

AUGUST 1, 2022

Famous examples include Redis , PostgreSQL , MySQL, and MongoDB. For example, let’s say you have an idea for a new social network and decide to use Kubernetes as your container management platform. You can easily integrate these types of metrics into Dynatrace for further and enhanced analysis using our unique Davis® AI.

Storage 193

Storage Database Network Metrics 193

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. We’ve just enhanced Dynatrace OneAgent with an open metric API. Here’s a quick overview of what you can achieve now that the Dynatrace Software Intelligence Platform has been extended to ingest third-party metrics. Dynatrace news.

Open Source 258

Open Source Metrics Analytics Tuning 258

Dynatrace

APRIL 22, 2022

As a solution, teams often adopt open source observability tools like OpenTelemetry to gain situational awareness of their cloud-native environments. Open source observability tools help address cloud complexity. Using open-source tools to tame cloud complexity can lead to data silos. SAP meets OpenTelemetry.

Open Source 178

Open Source Metrics Cloud Tuning 178

Dynatrace

MAY 4, 2021

cloud service providers are now starting to add OpenTelemetry instrumentation as an out-of-the-box feature. As such, we recently opened up our platform for metric ingestion and log monitoring and built integrations for key formats in those spaces. Announcing OpenTelemetry trace ingest. TL;DR summary. Detailed use case.

Cloud 264

Cloud Java Tuning Monitoring 264

Dynatrace

OCTOBER 6, 2022

The demo application is a cloud-native e-commerce application made up of multiple microservices. Because it includes examples of 10 programming languages OpenTelemetry supports with SDKs, the application makes a good reference for developers on how to use OpenTelemetry. In this example, we will be using Dynatrace.

Open Source 177

Open Source Metrics Tuning Technology 177

Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. Serverless computing is a cloud-based, on-demand execution model where customers consume resources solely based on their application usage.

Serverless 245

Serverless Efficiency Lambda Azure 245

Dynatrace

NOVEMBER 14, 2023

DevOps practices have been established in the last decade to accomplish this goal and deal with the dynamics of modern, cloud-native software architectures. The Cloud Native Computing Foundation defines a Golden Path as a “templated composition of well-integrated code and capabilities for rapid project development.”

Government 199

Government Best Practices DevOps Engineering 199

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 193

Analytics Infrastructure Storage Efficiency 193

Dynatrace

APRIL 26, 2022

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings.

Monitoring 209

Monitoring Social Media IoT Metrics 209

Dynatrace

SEPTEMBER 29, 2021

If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices.

Open Source 307

Open Source Traffic DevOps Cloud 307

Dynatrace

AUGUST 16, 2021

Many software delivery teams share the same pain points as they’re asked to support cloud adoption and modernization initiatives. These problems are the drivers behind Dynatrace’s solution offering called Cloud Automation and this two-part blog series shows how to tackle these problems using GitHub Actions. awareness ?

Software 246

Software Software Open Source Azure 246

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

Dynatrace

FEBRUARY 9, 2022

But this is hard to achieve at scale: Development teams need specific insights into the microservices they are responsible for, reflecting particular metrics, dashboards, custom alerts, service-level objectives (SLOs), or even automatic remediation steps. , or “Did the last update cause the application issue or was it something else?”

Code 222

Code Software Software DevOps 222

Dynatrace

APRIL 21, 2022

To stay tuned, keep an eye on our release notes. You can create custom log metrics for smarter and faster troubleshooting, and you will be able to understand log data in the context of your full stack, including real user impacts. Cloud Foundry transition to Settings 2.0. The display name is now required in metric metadata.

Azure 221

Azure Metrics AWS Monitoring 221

Dynatrace

NOVEMBER 24, 2020

As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. Automatic collection of the entire set of services that publish metrics to Amazon CloudWatch. Stay tuned.

AWS 146

AWS Artificial Intelligence Best Practices Lambda 146

Dynatrace

SEPTEMBER 15, 2020

Stefano started his presentation by showing how much cost and performance optimization is possible when knowing how to properly configure your application runtimes, databases, or cloud environments: Correct configuration of JVM parameters can save up to 75% resource utilization while delivering same or better performance!

Performance 189

Performance Java Metrics Cloud 189

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 176

Metrics Monitoring Database Network 176

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 239

Java Traffic Strategy Architecture 239

Dynatrace

DECEMBER 2, 2021

For example, an SLA between a web host provider and customer can guarantee 99.95% uptime for all web services of a company over a year. For example, if the SLA for a website is 99.95% uptime, its corresponding SLO could be 99.95% availability of the login services. For example, if your SLO guarantees 99.5% What are SLOs?

Metrics 196

Metrics Best Practices DevOps Infrastructure 196

Dynatrace

JULY 16, 2021

The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. 05:00 – Quick Start – Connect Cloud Automation.

DevOps 245

DevOps Open Source Cloud Azure 245

Dynatrace

JANUARY 19, 2021

across hybrid and multi-cloud environments?. A single pane of glass to view trace information along with AWS CloudWatch metrics. For example, Amazon Alexa extensions are implemented as AWS Lambda functions. See your AWS serverless workloads in full context with customer experience and business outcome metrics. customers,?we’ve

Lambda 214

Lambda Serverless AWS Mobile 214

The Netflix TechBlog

JANUARY 13, 2022

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. For every Flink job running as part of a Keystone pipeline, we monitor the metric indicating how far the Flink consumer lags behind the Kafka producer.

Big Data 238

Big Data Infrastructure Metrics Hardware 238