Dynatrace

OCTOBER 4, 2022

Much of the software developed today is cloud native. However, cloud infrastructure has become increasingly complex. The only way to address these challenges is through observability data — logs, metrics, and traces. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost.

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Analytics Software Software Storage 187

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 182

Analytics Innovation Metrics Database 182

Dynatrace

SEPTEMBER 21, 2023

Energy efficiency is a key reason why organizations are migrating workloads from energy-intensive on-premises environments to more efficient cloud platforms. But while moving workloads to the cloud brings overall carbon emissions down, the cloud computing carbon footprint itself is growing. Certainly, this is true for us.

Energy 230

Energy Cloud Airlines Strategy 230

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Dynatrace news. Connecting data siloes requires daunting integration endeavors.

Cloud 258

Cloud Azure Analytics AWS 258

Dynatrace

JULY 11, 2023

Without native log support, overhead and complexity grow OpenTelemetry, the Cloud Native Computing Foundation (CNCF) incubating project, introduced standards that enable companies to instrument, generate, and export telemetry data. When combined with out-of-the-box correlation, such telemetry data provides context-rich observability.

Open Source 211

Open Source Analytics Metrics Cloud 211

Dynatrace

AUGUST 9, 2023

In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts. Dynatrace Grail  is a data lakehouse that provides context-rich analytics capabilities for observability, security, and business data.

Analytics 192

Analytics AWS Strategy Infrastructure 192

Dynatrace

APRIL 11, 2023

Today’s organizations face increasing pressure to keep their cloud-based applications performing and secure. Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture.

Cloud 183

Cloud DevOps Open Source Retail 183

Dynatrace

NOVEMBER 23, 2020

Today’s highly dynamic, heterogeneous, and complex software systems require organizations to establish observability for all provided cloud-native services. T o get performance insights into applications and efficiently troubleshoot and optimize them, you need precise and actionable analytics across the entire software life cycle.

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Metrics Open Source Tuning Analytics 150

Dynatrace

DECEMBER 4, 2023

Resource consumption: Observing computational resource availability and saturation, whether deployed in cloud-native environments like Kubernetes or CPU-enabled servers. OpenTelemetry has become a standard for collecting traces, metrics, and logs.

Open Source 255

Open Source Latency Metrics Java 255

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); }.

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Metrics Open Source Lambda Serverless 139

Dynatrace

MAY 17, 2023

That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags. But as more workloads are shifting to hundreds of separate cloud-based services running in containers across multiple platforms, observability has become exponentially more difficult. What is OpenTelemetry?

Metrics 177

Metrics Open Source Traffic Cache 177

Dynatrace

MARCH 16, 2022

Over the last year, Dynatrace extended its AI-powered log monitoring capabilities by providing support for all log data sources. We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks.

Metrics 210

Metrics Lambda Infrastructure Monitoring 210

Dynatrace

JUNE 6, 2023

Kubernetes has become the leading container orchestration platform for organizations adopting open source solutions to manage, scale, and automate application deployment. Kubernetes is an open source container orchestration platform for managing, automating, and scaling containerized applications. What is Kubernetes?

Open Source 189

Open Source Storage Analytics Innovation 189

Dynatrace

DECEMBER 20, 2022

In the International Services Group (ISG) 2022 Provider Lens for Cloud-native Services and Solutions report, Dynatrace has attained the top overall position for the cloud-native observability quadrant. Additionally, Dynatrace is recognized as a leader in cloud-native security for both the U.S. Cloud-native at the core.

Cloud 130

Cloud Serverless Open Source Analytics 130

Dynatrace

DECEMBER 15, 2020

OpenTelemetry metrics are useful for augmenting the fully automatic observability that can be achieved with Dynatrace OneAgent. OpenTelemetry metrics add domain specific data such as business KPIs and license relevant consumption details. Enterprise-grade observability for custom OpenTelemetry metrics from AWS. Dynatrace news.

AWS 174

AWS Metrics Analytics Government 174

Dynatrace

DECEMBER 11, 2023

It’s open source, allows for great scalability with the possibility to run workloads on the cloud and on-premises Kubernetes clusters, and is easily extensible via plugins. At Dynatrace, we measure the DORA metrics from Google. The first DORA metric is rather easy; we simply look at the throughput of the main branch.

Open Source 185

Open Source Analytics Metrics Cloud 185

Dynatrace

JANUARY 31, 2024

Removing blind spots proactively prevents security incidents and ensures that performance metrics reflect the true state of the environment. Hybrid cloud discovery Upon the first start, the app checks if there are monitored hosts in your public and private clouds and if the integrations are configured correctly.

Analytics 170

Analytics Infrastructure Monitoring Cloud 170

Dynatrace

OCTOBER 4, 2022

These technologies are poorly suited to address the needs of modern enterprises—getting real value from data beyond isolated metrics. Grail needs to support security data as well as business analytics data and use cases. This decoupling ensures the openness of data and storage formats, while also preserving data in context.

Artificial Intelligence 264

Artificial Intelligence Analytics Storage Architecture 264

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. Davis AI analyzes your StatsD metrics. In addition, Dynatrace fully integrates these metrics into Smartscape. Dynatrace news.

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Open Source Metrics Analytics Tuning 253

Dynatrace

FEBRUARY 10, 2023

Increasingly, organizations are turning to modern observability platforms to address the complexity of, and gain visibility into, cloud environments. Further, automation has become a core strategy as organizations migrate to and operate in the cloud. Check out the guide from last year’s event. What is a data lakehouse?

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

AUGUST 21, 2023

OpenTelemetry is an open source framework that provides agents, APIs, and SDKs that automatically instrument, generate, and gather telemetry data. It’s so big that all three major cloud providers are building OpenTelemetry into their own platforms. What is OpenTelemetry? It’s also being built into Kubernetes.”

Open Source 192

Open Source Analytics Lambda Metrics 192

Dynatrace

JULY 18, 2022

The OpenTelemetry project was created to address the growing need for artificial intelligence-enabled IT operations — or AIOps — as organizations broaden their technology horizons beyond on-premises infrastructure and into multiple clouds. OpenTelemetry was purposely conceived to complement — and not compete with — existing analytical tools.

Artificial Intelligence 189

Artificial Intelligence Open Source Analytics Monitoring 189

Dynatrace

MARCH 6, 2024

The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs. ” Because of their versatility, teams can use IDPs for all types of software engineering projects, not just those in cloud-native scenarios.

Engineering 237

Engineering Development DevOps Infrastructure 237

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 165

Metrics Open Source Tuning Infrastructure 165

Dynatrace

NOVEMBER 7, 2023

The old saying in the software development community, “You build it, you run it,” no longer works as a scalable approach in the modern cloud-native world. Open source logs and metrics take precedence in the monitoring process. Monitoring-as-code can also be configured in GitOps fashion.

Engineering 270

Engineering DevOps Best Practices Infrastructure 270

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 298

Open Source Traffic DevOps Cloud 298

DZone

JUNE 11, 2020

TiDB is an open-source, distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It's challenging to troubleshoot issues in a distributed database because the information about the system is scattered in different machines. Before version 4.0,

Database 246

Database Open Source Analytics Architecture 246

Dynatrace

JULY 11, 2023

Dynatrace introduced the Dynatrace Operator, built on the open source project Operator Framework, in late 2018. IBM Power servers enable customers to respond faster to business demands, protect data from core to cloud, and streamline insights and automation. Captures metrics, traces, logs, and other telemetry data in context.

Architecture 167

Architecture Availability Infrastructure Metrics 167

Dynatrace

APRIL 6, 2022

Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Dynatrace news.

DevOps 228

DevOps Innovation Infrastructure Analytics 228

Dynatrace

FEBRUARY 9, 2022

Modern infrastructure needs to be elastic and GitOps approaches are used to automate the provisioning of infrastructure and applications using Git, an open-source control system that provides the change processes including reviews and approvals. Dynatrace enables software intelligence as code.

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Code Software Software DevOps 213

Scalegrid

JUNE 11, 2019

Ready to transition from a commercial database to open source, and want to know which databases are most popular in 2019? Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Cloud Infrastructure Analysis : Public Cloud vs. On-Premise vs. Hybrid Cloud.

Open Source 55

Open Source Database Cloud Infrastructure 55

Dynatrace

NOVEMBER 22, 2021

These challenges make AWS observability a key practice for building and monitoring cloud-native applications. Like general observability , AWS observability is the capacity to measure the current state of your AWS environment based on the data it generates, including its logs, metrics, and traces. AWS: A service for everything.

Best Practices 208

Best Practices AWS Monitoring Serverless 208

Dynatrace

JANUARY 5, 2022

In recent years, customer projects have moved towards complex cloud architectures, including dozens of microservices and different technology stacks which are challenging to develop, maintain, and optimize for resiliency. It automatically sends JMeter metrics to the Dynatrace cluster via the Metrics Ingest API.

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Testing Open Source Metrics Infrastructure 214

Dynatrace

SEPTEMBER 22, 2021

Application performance monitoring involves tracking key software application performance metrics using monitoring software and telemetry data. Application performance monitoring has a strong focus on specific metrics and measurements. Application performance management.

Innovation 201

Innovation Open Source Monitoring Infrastructure 201

Dynatrace

JULY 6, 2020

With cloud deployments growing rapidly during the past few years and enterprise multi-cloud environments becoming the norm, new challenges have emerged, including: Cloud dynamics make it hard to keep up with autoscaling, where services come and go based on demand. Dynatrace news. Deeper visibility and more precise answers.

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Azure Cloud Big Data Virtualization 146

Dynatrace

FEBRUARY 12, 2024

When releasing into production, Gardner said it’s important to think beyond performance metrics. Because of this, it’s critical for organizations to have end-to-end visibility across on-premises, cloud, and hybrid deployments. Dynatrace® Clouds app.

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Engineering Development Infrastructure Cloud 179

Dynatrace

NOVEMBER 22, 2021

In fact, Gartner predicts that cloud-native platforms will serve as the foundation for more than 95% of new digital initiatives by 2025 — up from less than 40% in 2021. These modern, cloud-native environments require an AI-driven approach to observability. At AWS re:Invent 2021 , the focus is on cloud modernization.

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AWS Lambda Artificial Intelligence Serverless 225