Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. You’re getting all the architectural benefits of Grail—the petabytes, the cardinality—with this implementation,” including the three pillars of observability: logs, metrics, and traces in context.

Analytics 246

Analytics Innovation Metrics Database 246

Dynatrace

JULY 12, 2022

Several team members had to pore through logs, metrics, and other data to identify issues. “We Ultimately, better infrastructure management enables organizations like Park ‘N Fly to innovate through software. To do so, organizations often succumb to a “hamster wheel” of having to release code more quickly to innovate effectively.

Innovation 246

Innovation Infrastructure DevOps Azure 246

Dynatrace

AUGUST 17, 2021

To keep pace with the need for innovation and increasing demand, developers need to divvy up resources into “microservices” based on requirements and distribute applications accordingly — as opposed to maintaining a monolithic codebase and resource pool. Understanding monolithic architectures. Dynatrace news.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

To keep pace with the need for innovation and increasing demand, developers need to divvy up resources into “microservices” based on requirements and distribute applications accordingly — as opposed to maintaining a monolithic codebase and resource pool. Understanding monolithic architectures. Dynatrace news.

Architecture 246

Architecture Software Software Development 246

Dynatrace

OCTOBER 15, 2021

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. OpenTelemetry reference architecture. Logs, metrics, and traces make up the bulk of all telemetry data. What is telemetry data?

Open Source 246

Open Source Metrics Cloud Transportation 246

Dynatrace

JULY 11, 2024

This traditional approach presents key performance metrics in an isolated and static way, providing little or no insight into the business impact or progress toward the goals systems support. Often, these metrics are unable to even identify trends from past to present, never mind helping teams to predict future trends.

Monitoring 264

Monitoring Retail Energy Cloud 264

The Netflix TechBlog

FEBRUARY 18, 2022

Motivation With the rapid growth in Netflix member base and the increasing complexity of our systems, our architecture has evolved into an asynchronous one that enables both online and offline computation. Architecture As shown in the diagram above, the RENO service can be broken down into the following components.

Systems 334

Systems Traffic Architecture Mobile 334

Dynatrace

SEPTEMBER 4, 2020

While an SLI is just a metric, an SLO just a threshold you expect your SLI to be in and SLA is just the business contract on top of an SLO. Thanks to its event-driven architecture, Keptn can pull SLIs (=metrics) from different data sources and validate them against the SLOs. Together we can drive even more innovation.

DevOps 326

DevOps Metrics Innovation Azure 326

Dynatrace

MARCH 3, 2020

The IDC FutureScape: Worldwide IT Industry 2020 Predictions highlights key trends for IT industry-wide technology adoption for the next five years and includes these predictions: Hasten to innovation. By 2024, over 50% of all IT spending will be directly put towards digital transformation and innovation (up from 31% in 2018).

Performance 314

Performance Education Innovation Software Architecture 314

Dynatrace

JULY 11, 2023

We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power architecture (ppc64le). Captures metrics, traces, logs, and other telemetry data in context.

Architecture 189

Architecture Availability Infrastructure Metrics 189

Dynatrace

DECEMBER 23, 2020

As legacy monolithic applications give way to more nimble and portable services, the tools once used to monitor their performance are unable to serve the complex cloud-native architectures that now host them. Metrics: Numeric representation of data measured over a set period. Where traditional methods struggle.

Infrastructure 246

Infrastructure Cloud Monitoring Metrics 246

Dynatrace

JULY 24, 2024

As we did with IBM Power , we’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Z and LinuxONE architecture (s390x).

Availability 279

Availability Infrastructure Metrics Hardware 279

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. Manual troubleshooting is painful, hurts the business, and slows down innovation.

Cloud 264

Cloud Azure Analytics Open Source 264

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 246

Cloud Serverless Innovation Architecture 246

Dynatrace

APRIL 30, 2019

Introducing Pitometer: Metrics-based Deployment Validation in your CI/CD. The following shows how to evaluate a deployment score based on metrics from Prometheus and Dynatrace. If you want to automate deployment validation based on metrics or data from tools that you already use in your CI/CD pipeline give Pitometer a try.

Architecture 149

Architecture Open Source Azure Metrics 149

Dynatrace

DECEMBER 23, 2020

As legacy monolithic applications give way to more nimble and portable services, the tools once used to monitor their performance are unable to serve the complex cloud-native architectures that now host them. Metrics: Numeric representation of data measured over a set period. Where traditional methods struggle.

Infrastructure 225

Infrastructure Cloud Monitoring Metrics 225

Dynatrace

FEBRUARY 10, 2022

Today, businesses are racing ever faster to accommodate customer demands and innovate without sacrificing product quality or security. As they increase the speed of product innovation and software development, organizations have an increasing number of applications, microservices and cloud infrastructure to manage.

Artificial Intelligence 260

Artificial Intelligence Performance Innovation Speed 260

Dynatrace

FEBRUARY 10, 2023

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. DevOps metrics and digital experience data are critical to this. That’s where a data lakehouse can help. Learn more.

Efficiency 306

Efficiency Performance Analytics DevOps 306

Dynatrace

OCTOBER 23, 2023

In a recent conversation at Dynatrace Innovate in Barcelona, Spain, with Liisa Tallinn, product manager of application security at Dynatrace, Domenella explained how it works. We also use Dynatrace to create the priorities for this migration because of the time it takes to fix the vulnerabilities in the old architecture.”

Design 264

Design Innovation DevOps Open Source 264

The Netflix TechBlog

SEPTEMBER 10, 2019

ABlaze: The standard view of analyses in the XP UI Suppose you’re running a new video encoding test and theorize that the two new encodes should reduce play delay, a metric describing how long it takes for a video to play after you press the start button. Getting Data with the Metrics Repo 2. Not at Netflix.

Metrics 221

Metrics Architecture Infrastructure Innovation 221

Dynatrace

NOVEMBER 10, 2020

With its improved GCP capabilities, Dynatrace helps you move workloads to the cloud, build great applications, and drive innovation in hybrid and multi-cloud environments. The installation process and architecture are well documented and described in the GitHub repository. Google Cloud Datastore. Google Cloud Load Balancing.

Google 264

Google Cloud Serverless Innovation 264

Dynatrace

NOVEMBER 9, 2021

But the cloud is forcing a rethink of tooling, platforms, technologies, and services to power new, agile, applications and application components, that break down silos, and use AI and automation to accelerate innovation. And for observability to be successful, it requires much more than just logs, metrics, and traces.

DevOps 246

DevOps Innovation Cloud Programming 246

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 264

Analytics Artificial Intelligence Storage Serverless 264

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. The latest Amazon Lambda innovation, Lambda SnapStart, has day one support from Dynatrace. Understand and optimize your architecture.

Lambda 246

Lambda AWS Serverless Latency 246

Dynatrace

JANUARY 11, 2023

These next-generation cloud monitoring tools present reports — including metrics, performance, and incident detection — visually via dashboards. This type of monitoring tracks metrics and insights on server CPU, memory, and network health, as well as hosts, containers, and serverless functions. Cloud monitoring types and how they work.

Cloud 295

Cloud Monitoring Best Practices Infrastructure 295

Dynatrace

JULY 29, 2021

Today’s digital businesses run on heterogeneous and highly dynamic architectures with interconnected applications and microservices deployed via Kubernetes and other cloud-native platforms. Common questions include: Where do bottlenecks occur in our architecture? Dynatrace news. How can we optimize for performance and scalability?

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

JANUARY 19, 2021

A single pane of glass to view trace information along with AWS CloudWatch metrics. Serverless can accelerate innovation (and introduce blind spots). Serverless architectures help developers innovate more efficiently and effectively by removing the burden of managing underlying infrastructure. the metrics you’ll?find

Lambda 264

Lambda Serverless AWS Mobile 264

Dynatrace

SEPTEMBER 3, 2024

In many ways, the shift to cloud computing and the adoption of cloud-native architectures have enabled organizations to realize greater resiliency alongside scalability. Powered by AI and automation, Dynatrace observability and security enable teams throughout an enterprise to eliminate silos, make better decisions, and innovate faster.

Infrastructure 290

Infrastructure Innovation Monitoring Software Performance 290

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Understand and optimize your architecture. Dynatrace news.

Serverless 246

Serverless Azure Monitoring Lambda 246

Dynatrace

JANUARY 31, 2024

Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications.

Cache 276

Cache Azure Infrastructure Monitoring 276

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.

AWS 221

AWS Artificial Intelligence Best Practices Lambda 221

Dynatrace

MAY 6, 2021

AI is driving big innovation in IT operations, with an ever-increasing demand to detect anomalies faster, sooner, and more accurately. Increasingly, organizations are turning to observability solutions to get visibility into their dynamic container-based architectures and hybrid-cloud environments. Dynatrace news.

Games 244

Games Metrics Monitoring Cloud 244

Dynatrace

NOVEMBER 1, 2021

Within the pre-packaged starter set for Windchill, all background queue metrics familiar to PTC administrators are automatically included. With Dynatrace OneAgent , gathering Windchill metrics is done in just a few clicks. With all this data, OneAgent provides instant answers with precise causation for dynamic architectures.

Innovation 246

Innovation Monitoring Servers Infrastructure 246

Dynatrace

OCTOBER 2, 2024

Davis AI contextually aligns all relevant data points—such as logs, traces, and metrics—enabling teams to act quickly and accurately while still providing power users with the flexibility and depth they desire and need. The Clouds app provides a view of all available cloud-native services.

Analytics 304

Analytics AWS DevOps Cloud 304

Dynatrace

OCTOBER 14, 2021

A full-featured deterministic AIOps solution should lead to faster, higher-quality innovation, increased IT staff efficiency, and vastly improved business outcomes. When all these areas are as automated as possible, developers and operations teams can focus on innovation rather than performing endless administrative tasks.

Artificial Intelligence 246

Artificial Intelligence DevOps Innovation Metrics 246

Dynatrace

JUNE 28, 2021

Between multicloud environments, container-based architecture, and on-premises infrastructure running everything from the latest open-source technologies to legacy software, achieving situational awareness of your IT environment is getting harder to achieve. The challenge? Stage 2: Service monitoring. Stage 3: Diagnostics.

Infrastructure 257

Infrastructure Monitoring Artificial Intelligence Open Source 257

Dynatrace

DECEMBER 2, 2020

As more organizations transition to distributed services, IT teams are experiencing the limitations of traditional monitoring tools, which were designed for yesterday’s monolithic architectures. Where traditional monitoring falls flat. These outcomes can damage an organization’s reputation and its bottom line.

DevOps 231

DevOps Monitoring Cloud Artificial Intelligence 231