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 174

Architecture Availability Infrastructure Monitoring 174

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 245

Architecture Software Software Development 245

Strategic Tech

JANUARY 22, 2024

Architecture modernization initiatives are strategic efforts involving many teams, usually for many months or years. An AMET is an architecture Enabling Team that helps to coordinate and upskill all teams and stakeholders involved in a modernization initiative. The organization needs to innovate faster to become more competitive.

Architecture 98

Architecture Metrics Logistics Strategy 98

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 224

Open Source Metrics Cloud Transportation 224

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 223

Design Innovation DevOps Open Source 223

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 209

Cache Azure Infrastructure Monitoring 209

Dynatrace

MARCH 18, 2024

In a Dynatrace Perform 2024 session, Kristof Renders, director of innovation services, discussed how a stronger FinOps strategy coupled with observability can make a significant difference in helping teams to keep spiraling infrastructure costs under control and manage cloud spending. Suboptimal architecture design.

Best Practices 238

Best Practices Strategy Cloud AWS 238

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 229

Lambda AWS Serverless Latency 229

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. The architecture usually integrates several private, public, and on-premises infrastructures. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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 125

Architecture Open Source Azure Metrics 125

Dynatrace

JANUARY 23, 2024

What will the new architecture be? Session attendees will learn first-hand how Dynatrace natively integrates into the AWS Migration Hub to provide a full topology of on-prem workloads and dependencies in order to generate the ideal cloud-based architecture in the AWS cloud. What can we move?

Cloud 217

Cloud Artificial Intelligence Performance AWS 217

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

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 281

Efficiency Performance Analytics DevOps 281

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 261

Cloud Azure Analytics AWS 261

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 240

Analytics Artificial Intelligence Storage Serverless 240

Dynatrace

APRIL 7, 2023

The latest Amazon Lambda innovation, Lambda Response Streaming has day-one support from Dynatrace without interruption allowing users to continue to take advantage of all the platform features. Organizations will also benefit from the visibility of new metrics directly from the Lambda Stream such as the following: StreamedOutboundBytes.

Lambda 221

Lambda AWS Serverless Latency 221

Dynatrace

NOVEMBER 2, 2023

Spiraling cloud architecture and application costs have driven the need for new approaches to cloud spend. A McKinsey & Company FinOps study indicated that “enterprises often don’t develop at-scale FinOps capabilities until their spending on cloud architecture reaches $100 million per year.”

Cloud 201

Cloud Strategy Retail Energy 201

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 211

Infrastructure Cloud Monitoring Metrics 211

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 245

Cloud Serverless Innovation Architecture 245

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 223

DevOps Innovation Cloud Programming 223

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. The short answer: The three pillars of observability—logs, metrics, and traces—concentrated in a data lakehouse. What is predictive AI?

AWS 214

AWS Artificial Intelligence Analytics Cloud 214

Strategic Tech

OCTOBER 13, 2021

If I can capture key information earlier, that gives me a good understanding of key elements of the business’s architecture, we can get to valuable conversations sooner. I’ve been using the Lean Innovation Portfolio for years. The template can be viewed as a Miro board and is shared under a Creative Commons license.

Architecture 52

Architecture Innovation Strategy Website 52

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

AUGUST 21, 2023

A traditional log management solution uses an often manual and siloed approach, which limits scalability and ultimately hinders organizational innovation. To stay ahead of the curve, organizations should focus on strategic, proactive innovation and optimization. Free IT teams to focus on and support product innovation.

Analytics 147

Analytics Innovation Infrastructure Scalability 147

Tasktop

OCTOBER 18, 2021

Speaking about DevOps and OKRs, Mik shared some of his “lessons learned” from large-scale transformations that leveraged OKRs and Flow Metrics to create an end-to-end, organization-wide feedback loop, as well as pitfalls that snapped some organizations back into the waterfall ways of measuring delivery. Take a Course in Flow Metrics.

DevOps 52

DevOps Metrics Virtualization Innovation 52

The Netflix TechBlog

NOVEMBER 2, 2021

In particular, the VMAF metric lies at the core of improving the Netflix member’s streaming video quality. As VMAF evolves and is integrated with more encoding and streaming workflows within Netflix, we need scalable ways of fostering video quality innovations. All three requested quality metrics will be calculated for each chunk.

Media 171

Media Innovation Metrics Latency 171

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 189

Artificial Intelligence Performance Innovation Speed 189

Dynatrace

FEBRUARY 16, 2023

Modern observability allows organizations to eliminate data silos, boost cloud operations, innovate faster, and improve business results. “As Traditional cloud monitoring methods can no longer scale to meet organizations’ demands, as multicloud architectures continue to expand.

Artificial Intelligence 199

Artificial Intelligence Analytics Cloud Innovation 199

Dynatrace

MAY 31, 2023

As a result, site reliability has emerged as a critical success metric for many organizations. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed. The following three metrics are commonly used to measure success: Service-level agreements (SLAs).

Best Practices 228

Best Practices DevOps Latency Metrics 228

Dynatrace

AUGUST 16, 2023

For most organizations, online service reliability that balances innovation and uptime is a primary goal. SLOs are specifically processed metrics that help businesses balance breakthroughs with reliability. This metrics-based approach to SLO monitoring helps organizations plan and adjust before problems escalate into outages.

Monitoring 190

Monitoring DevOps Metrics Innovation 190

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 227

Cloud Monitoring Best Practices Infrastructure 227

Dynatrace

APRIL 11, 2023

Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it.

Cloud 192

Cloud DevOps Open Source Retail 192

The Netflix TechBlog

JANUARY 11, 2022

Here we describe the role of Experimentation and A/B testing within the larger Data Science and Engineering organization at Netflix, including how our platform investments support running tests at scale while enabling innovation. but that would slow down our overall pace of innovation. Curious to learn more?

Innovation 243

Innovation Metrics Engineering Testing 243

Dynatrace

OCTOBER 4, 2022

As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. The only way to address these challenges is through observability data — logs, metrics, and traces. Your key business objectives will drive your strategy and metrics.

Analytics 196

Analytics Software Software Storage 196

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 148

Infrastructure Cloud Monitoring Metrics 148

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 215

Metrics Architecture Infrastructure Innovation 215