Dynatrace

FEBRUARY 15, 2023

Now we’re adding Smartscape to DQL and two new data sources to Grail: Metrics on Grail and Traces on Grail. Introducing Metrics on Grail Despite their many advantages, modern cloud-native architectures can result in scalability and fragmentation challenges. Grail solves this scalability issue!

Analytics 238

Analytics Social Media Metrics Efficiency 238

Dynatrace

MARCH 22, 2022

That’s why hybrid cloud architecture is a key tool in the arsenal for organizations striving to grow, modernize, and innovate. In a presentation at the Perform 2022 conference, Huetter uses the IBM Z platform to expand on the benefits of using an observability platform to manage hybrid cloud infrastructure.

Infrastructure 235

Infrastructure Cloud Java Azure 235

Dynatrace

JANUARY 31, 2024

While off-the-shelf models assist many organizations in initiating their journeys with generative AI (GenAI), scaling AI for enterprise use presents formidable challenges. Figure 1: Sample RAG architecture While this approach significantly improves the response quality of GenAI applications, it also introduces new challenges.

Cache 212

Cache Azure Infrastructure Monitoring 212

Dynatrace

JUNE 9, 2023

Data scale and silos present challenges to DevOps maturity DevOps teams often run into problems trying to drive better data-driven decisions with observability and security data. Research has found that 99% of organizations have embraced a multicloud architecture.

DevOps 192

DevOps Analytics Storage Metrics 192

Dynatrace

MAY 23, 2024

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. Recovery time of the throughput metric.

Engineering 189

Engineering Tuning Latency Open Source 189

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. – Dr. Mik Kersten.

DevOps 52

DevOps Metrics Virtualization Innovation 52

Dynatrace

JANUARY 23, 2024

At this year’s Perform, we are thrilled to have our three strategic cloud partners, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), returning as both sponsors and presenters to share their expertise about cloud modernization and observability of generative AI models. What will the new architecture be?

Cloud 221

Cloud Artificial Intelligence Performance AWS 221

Scalegrid

MARCH 14, 2024

The architecture usually integrates several private, public, and on-premises infrastructures. Key Components of Hybrid Cloud Infrastructure A hybrid cloud architecture usually merges a public Infrastructure-as-a-Service (IaaS) platform with private computing assets and incorporates tools to manage these combined environments.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

OCTOBER 4, 2022

But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. Achieving the ideal state with aggregated, centralized log data, metrics, traces , and other metadata is challenging—particularly for multicloud environments. Cost-effective architecture.

Analytics 230

Analytics Storage Infrastructure Metrics 230

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. Website monitoring.

Cloud 230

Cloud Monitoring Best Practices Infrastructure 230

Dynatrace

NOVEMBER 30, 2022

Since then, the extensions’ capabilities have been substantially improved, not just for data but also in the presentation layer and topological model. You can also extract a metric from any trap event attribute and track it as a regular metric or set up an alert. Device-centric SNMP Trap overview. SNMP Trap event details.

Network 232

Network Infrastructure Metrics Monitoring 232

Dynatrace

DECEMBER 22, 2021

Observability is made up of three key pillars: metrics, logs, and traces. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. They are particularly important in distributed systems, such as microservices architectures.

Artificial Intelligence 186

Artificial Intelligence Metrics Architecture DevOps 186

Strategic Tech

JUNE 2, 2021

Modernizing an architecture usually take years. This presents technology leaders with one of the most difficult modernization challenges: where to start and in which order to modernize? In the Architecture Modernization Sequencing Grid, this is the bottom right corner. Starting with something brand new defers these discoveries.

Architecture 52

Architecture Infrastructure Technology Technology 52

Dynatrace

APRIL 5, 2024

This implies that when the status is unfavorable, implementing sophisticated alerting methods like error budget burn rate alerting presents challenges and is therefore not applicable. Data Explorer “test your Metric Expression” for info result coming from the above metric.

Efficiency 234

Efficiency Traffic Tuning Metrics 234

Dynatrace

SEPTEMBER 4, 2020

This is a mouthful of buzzwords” is how I started my recent presentations at the Online Kubernetes Meetup as well as the DevOps Fusion 2020 Online Conference when explaining the three big challenges we are trying to solve with Keptn – our CNCF Open Source project: Automate build validation through SLI/SLO-based Quality Gates. Dynatrace news.

DevOps 250

DevOps Metrics Innovation Azure 250

Dynatrace

OCTOBER 6, 2022

OpenTelemetry demo application architecture diagram. Jaeger and Prometheus backends for displaying the collected traces and metrics, but you can easily configure alternative backends. is the custom metrics ingest endpoint that is used by the collector to export metrics. Dynatrace metrics exporter ? DT_API_TOKEN ?is

Open Source 180

Open Source Metrics Tuning Technology 180

CSS Wizardry

JULY 23, 2023

The Core Web Vitals Metrics Generally, I approve of the Core Web Vitals metrics themselves ( Largest Contentful Paint , First Input Delay , Cumulative Layout Shift , and the nascent Interaction to Next Paint ). All user-centric Core Web Vitals metrics will be represented in the dataset.

Engineering 246

Engineering Google Speed Mobile 246

Dynatrace

FEBRUARY 12, 2024

The various presenters in this session aligned platform engineering use cases with the software development lifecycle. When releasing into production, Gardner said it’s important to think beyond performance metrics. Organizations get end-to-end observability from code to production with the right data in context.

Engineering 190

Engineering Development Infrastructure Cloud 190

The Netflix TechBlog

AUGUST 24, 2022

A typical slate recommender system We are interested in settings where the user is presented with a slate of recommendations. The recommender system presents a one dimensional slate (a list) of K items and the user examines the slate sequentially from top to bottom. If the discount factor ? =0, Therefore q with ? =

Metrics 178

Metrics Systems Architecture Processing 178

Dynatrace

APRIL 18, 2022

One particular use case for Austrian banking software developer Raiffeisen involves using Keptn to automate the production release and readiness validation of all its products using scoring metrics. Bringing SLOs back into development also gives developers production-stage feedback on critical metrics that may later impact business SLOs.

Open Source 196

Open Source DevOps Cloud Metrics 196

Dynatrace

MAY 6, 2021

Increasingly, organizations are turning to observability solutions to get visibility into their dynamic container-based architectures and hybrid-cloud environments. For predictive AIOps, Dynatrace detects anomalies using high-dimensional data derived from metrics in context. “If

Games 180

Games Metrics Monitoring Cloud 180

O'Reilly Software

OCTOBER 23, 2018

I should start by saying this section does not offer a treatise on how to do architecture. Vitruvius and the principles of architecture. Architecture begins when someone has a nontrivial problem to be solved. Everyone who goes to architecture school learns his work. It must be beautiful, like Venus, inspiring love.

Strategy 100

Strategy Architecture Technology Technology 100

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” Understand and optimize your architecture. Dynatrace news. Azure Functions in a nutshell.

Serverless 241

Serverless Azure Monitoring Lambda 241

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. The sheer volume of a modern enterprise’s data presents a challenge to those tasked with monitoring it, says Gartner.

DevOps 156

DevOps Monitoring Cloud Artificial Intelligence 156

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

SEPTEMBER 28, 2020

I wanted to present as much information as possible. This is where the consolidated API, which I presented in my last post , comes into play. Lightweight architecture. Real-time problem visualization of lots of environments. Everybody should be able to understand what’s going on without a long introduction or user manual.

Storage 214

Storage Architecture Tuning Efficiency 214

Dynatrace

AUGUST 21, 2023

” But, he continues, ” Today’s environments present a completely different picture. Dynatrace for unified, AI-powered log management and analytics Dynatrace enables teams to analyze logs, metrics, and events in the context of traces, topology, and user sessions, with no schemas or storage tiers to manage.

Analytics 148

Analytics Innovation Infrastructure Scalability 148

Dynatrace

OCTOBER 14, 2021

Here, we’ll discuss the AIOps landscape as it stands today and present an alternative approach that truly integrates artificial intelligence into the DevOps process. AIOps is often presented as a way to reduce the noise of countless alerts, but it can and should be more than that. Two approaches to AIOps. AIOps use cases.

Artificial Intelligence 221

Artificial Intelligence DevOps Innovation Metrics 221

Tasktop

MARCH 16, 2021

Which got me thinking, what if we could send our own DIY kit for our Flow Metrics tool— Tasktop Viz —to our Fortune 500 customers across major industries such as automotive, manufacturing, healthcare and finance? . Typically, you will require a: Product Manager: Manages the build and maintenance of the value stream metrics product.

Metrics 52

Metrics Healthcare Automotive Innovation 52

Dynatrace

NOVEMBER 15, 2021

Because of everything that can go wrong, it’s imperative for organizations to constantly track metrics that indicate user satisfaction and have a robust complaint resolution model in place. Without agreeing on the single source of truth, you’ll end up in meetings arguing about metrics instead of helping your users.

Mobile 225

Mobile Social Media Monitoring Metrics 225

The Netflix TechBlog

FEBRUARY 9, 2021

Plus, the architecture of the Edge tier was evolving to a PaaS (platform as a service) model, and we had some tough decisions to make about how, and where, to handle identity token handling. The system architecture now takes the form of: Notice that tokens never traverse past the Edge gateway / EAS boundary. We are serving over 2.5

Architecture 221

Architecture Latency Servers Website 221

Dynatrace

OCTOBER 5, 2020

The challenge with ASP.NET Web Service Observability, Diagnostics and Performance Optimization is that most monitoring & diagnostic tools only provide global Service Level Indicators metrics (SLIs) such as response time, failure rate, and throughput, but not metrics for each individual service endpoint.

Performance 153

Performance Best Practices Architecture Monitoring 153

Dynatrace

JUNE 8, 2021

You’ll learn how to create production SLOs, to continuously improve the performance of services, and I’ll guide you on how to become a champion of your sport by: Creating calculated metrics with the help of multidimensional analysis. Metric 2: number of requests in error. Let’s start by creating a dashboard to follow our metrics.

Metrics 173

Metrics Tuning Programming Systems 173

Dynatrace

MAY 26, 2021

In the keynote by Christina Yakomin and Steve Prazenica from Vanguard, the presenters recounted their journey from a monolith with alert-based incident reporting and no positive health signals to an observable microservice architecture. A recurring theme was Site Reliability Engineering.

AWS 221

AWS Strategy Storage Metrics 221

Scalegrid

JANUARY 11, 2024

Key Takeaways Cloud security monitoring is a comprehensive approach involving both manual and automated processes to oversee servers, applications, platforms, and websites, using tools that are customized to fit unique cloud architectures. Nevertheless, this integration can present certain challenges to organizations.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

JANUARY 16, 2023

The immense growth of Kubernetes presents new security challenges in runtime and increased complexity in hardening CI/CD pipelines in development. In general, metrics collectors and providers are most common, followed by log and tracing projects. Note: The survey excluded all commercial observability offerings, including Dynatrace.

Open Source 349

Open Source Java Operating System Programming 349

The Netflix TechBlog

MARCH 13, 2020

The teams have been working closely on SVT-AV1 development, discussing architectural decisions, implementing new tools, and improving compression efficiency. Architectural features One of Intel’s goals for SVT-AV1 development was to create an AV1 encoder that could offer performance and scalability.

Open Source 154

Open Source Efficiency C++ Speed 154