Dynatrace

FEBRUARY 2, 2023

But are observability platforms—born from the collision between the demands of cloud computing and the limitations of APM and infrastructure monitoring—the best solution for managing business analytics? Metric extraction is a convenient way to create your business metrics, delivering fast, flexible, and cost-effective analytics.

Analytics 206

Analytics Metrics DevOps Storage 206

Dynatrace

SEPTEMBER 28, 2021

The emerging concepts of working with DevOps metrics and DevOps KPIs have really come a long way. DevOps metrics to help you meet your DevOps goals. Like any IT or business project, you’ll need to track critical key metrics. Here are nine key DevOps metrics and DevOps KPIs that will help you be successful.

DevOps 205

DevOps Metrics Traffic Efficiency 205

The Netflix TechBlog

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

DECEMBER 9, 2020

For example, you can get comprehensive monitoring of SAP ABAP Systems , which lowers the barrier of communication between enterprise IT operations and SAP Basis teams. Enable the Davis AI causation engine to automatically analyze every metric. Enable the Davis AI causation engine to automatically analyze every metric.

Infrastructure 205

Infrastructure Database Monitoring Metrics 205

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. In addition to tracing, observability also defines two other key concepts, metrics and logs. When software runs in a monolithic stack on on-site servers, observability is manageable enough. What is OpenTelemetry?

Metrics 185

Metrics Open Source Traffic Cache 185

Dynatrace

SEPTEMBER 18, 2020

Sure, cloud infrastructure requires comprehensive performance visibility, as Dynatrace provides , but the services that leverage cloud infrastructures also require close attention. Extend infrastructure observability to WSO2 API Manager. Looking at the key metrics of the deployment does not reveal anything out of the ordinary.

Infrastructure 192

Infrastructure Latency Metrics Analytics 192

Dynatrace

JULY 7, 2020

In Kubernetes environments, operating and successfully running your production applications and microservices requires getting additional insights into your Kubernetes infrastructure including the cluster, nodes, and pods that encapsulate and run the apps. These new features and metrics require: ActiveGate version 1.195+.

Infrastructure 203

Infrastructure Metrics Monitoring Cloud 203

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. Capturing data is critical to understanding how your applications and infrastructure are performing at any given time.

Open Source 224

Open Source Metrics Cloud Transportation 224

Dynatrace

JANUARY 12, 2021

In Part 1 we explored how you can use the Davis AI to analyze your StatsD metrics. In Part 2 we showed how you can run multidimensional analysis for external metrics that are ingested via the OneAgent Metric API. In Part 3 we discussed how the Davis AI can analyze your metrics from scripting languages like Bash or PowerShell.

Metrics 182

Metrics Open Source Monitoring Analytics 182

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 215

Metrics Innovation Strategy Monitoring 215

Dynatrace

APRIL 18, 2024

Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior. For example, an observability solution can track and analyze usage data to help engineers understand how and when to scale resources based on system demand.

DevOps 184

DevOps Engineering Artificial Intelligence Infrastructure 184

Dynatrace

AUGUST 5, 2020

Recently introduced improvements to Visually complete and new web performance metrics for Real User Monitoring are now available for Synthetic Monitoring as well. Ensure better user experience with paint-focused performance metrics. These metrics are tightly connected to the perceived load speed of your application.

Metrics 220

Metrics Monitoring Performance Benchmarking 220

Dynatrace

JUNE 3, 2022

Whenever a performance problem is flagged, Infrastructure and Operations (I&O) practitioners strive to resolve the issue as soon as possible by identifying the root cause, understanding the impact, obtaining the relevant details, and fixing the issue within the shortest possible timeframe—the meantime to resolution (MTTR). Dynatrace news.

Metrics 228

Metrics Mobile IoT Monitoring 228

Dynatrace

FEBRUARY 21, 2024

To remain competitive in today’s fast-paced market, organizations must not only ensure that their digital infrastructure is functioning optimally but also that software deployments and updates are delivered rapidly and consistently. Continuous, informed improvement : Quality gates provide consistent feedback on key metrics.

Speed 212

Speed Software Software Latency 212

Dynatrace

MAY 3, 2024

Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. Take the example of Amazon Virtual Private Cloud (VPC) flow logs, which provide insights into the IP traffic of your network interfaces. Managing this change is difficult.

Cloud 134

Cloud Lambda AWS Analytics 134

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

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. Unnecessary data transfer. On-demand payment agreement.

Best Practices 237

Best Practices Strategy Cloud AWS 237

Dynatrace

JANUARY 31, 2024

For example, a Stanford University and UC Berkeley team noted in a research study that ChatGPT behavior deteriorates over time. Using the example of a chatbot, once the user submits a natural language prompt, RAG summarizes that prompt using semantic data. Consequently, AI model drift and hallucinations emerge as primary concerns.

Cache 209

Cache Azure Infrastructure Monitoring 209

Dynatrace

AUGUST 30, 2023

Cloud-native observability for Google’s fully managed GKE Autopilot clusters demands new methods of gathering metrics, traces, and logs for workloads, pods, and containers to enable better accessibility for operations teams. These CSI pods provide a unique way of solving a handful of infrastructure problems. Agent logs security.

Google 225

Google Cloud Innovation Infrastructure 225

Dynatrace

MARCH 20, 2024

Infrastructure health The underlying infrastructure’s health directly impacts application availability and performance. Changes in application code or configurations can impact performance metrics, affecting user experience and application functionality.

Open Source 272

Open Source Hardware DevOps Infrastructure 272

The Netflix TechBlog

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding. ETL workflows), as well as downstream (e.g.

Systems 226

Systems Media Cache Open Source 226

Dynatrace

NOVEMBER 6, 2023

As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. In this case, Davis finds that a Java Spring Micrometer metric called Failed deliveries is highly correlated with CPU spikes.

Retail 264

Retail Analytics Storage Cloud 264

Dynatrace

DECEMBER 27, 2022

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time.

Software 269

Software Software Benchmarking Latency 269

Dynatrace

MARCH 29, 2024

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. Grail, alongside Dynatrace Davis AI, enables organizations to move beyond simple event correlation and to identify the root cause of problems in their applications and infrastructure.

Artificial Intelligence 188

Artificial Intelligence DevOps Strategy Open Source 188

Dynatrace

APRIL 13, 2023

Log auditing—and its investigative partner, log forensics—are becoming essential practices for securing cloud-native applications and infrastructure. As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging.

Analytics 190

Analytics Java Infrastructure Cloud 190

Dynatrace

JUNE 5, 2023

By analyzing metric anomalies between hosts and load balancers, Davis AI can quickly resolve problems, thus expediting the process. Integration with SNMP Traps An effective way to receive alerts is through SNMP trap integration, which allows F5 devices to send notifications instead of setting thresholds on Dynatrace metrics.

Traffic 199

Traffic Virtualization Metrics Monitoring 199

Dynatrace

FEBRUARY 2, 2023

For example, to monitor non-compute resources in Azure, many solutions require special components configured separately or even hosted by the customer. Not to mention, hosting parts of their cloud infrastructure locally isn’t something customers expect from their cloud solution.

Azure 229

Azure Cloud Monitoring Metrics 229

DZone

FEBRUARY 22, 2023

The concept of observability involves understanding a system’s internal states through the examination of logs, metrics, and traces. One well-known example is PhonePe, which experienced a 2000% growth in its data infrastructure and a 65% reduction in data management costs with the implementation of a data observability solution.

Development 199

Development Testing Infrastructure Metrics 199

Dynatrace

MAY 31, 2023

As a result, site reliability has emerged as a critical success metric for many organizations. How site reliability engineering affects organizations’ bottom line SRE applies the disciplines of software engineering to infrastructure management, both on-premises and in the cloud. Service-level objectives (SLOs). availability.

Best Practices 227

Best Practices DevOps Latency Metrics 227

Dynatrace

MARCH 5, 2021

For example, you might be using: any of the 60+ StatsD compliant client libraries to send metrics from various programming languages directly to Dynatrace; any of the 200+ Telegraf plugins to gather metrics from different areas of your environment; Prometheus, as the dominant metric provider and sink in your Kubernetes space.

Metrics 218

Metrics Network Monitoring Infrastructure 218

Dynatrace

APRIL 28, 2023

Optimize cost and availability while staying compliant Observability data like logs and metrics provide automated answers, root cause detection, and security issues. For example, suppose data has to be retained for a longer period because of legal or business reasons.

Analytics 218

Analytics Storage Infrastructure Metrics 218

Dynatrace

JULY 25, 2023

This expansion of Davis AI complements the proven Dynatrace predictive AI model (for example, forecasting and anomalies) and our causal AI model (for example, determination of a problem’s root cause, security risks, user impact, and steering automation), which are at the core of the Dynatrace platform.

Best Practices 237

Best Practices Analytics Metrics Code 237

Dynatrace

NOVEMBER 6, 2023

When an incident occurs, developers need to know what data to look at, where the incident occurred, and other relevant metrics. They also care about infrastructure: SREs require system visibility and incident management. In Grabner’s example, he understood that there was an increased Java error rate on the front end of the application.

Development 267

Development DevOps Programming Cloud 267

Dynatrace

SEPTEMBER 9, 2022

Based on IDC’s research, 83% of enterprises are rationalizing, or optimizing, their technology infrastructure. According to IBM , application modernization takes existing legacy applications and modernizes their platform infrastructure, internal architecture, or features. What is application modernization?

Strategy 232

Strategy Benchmarking Serverless Infrastructure 232

Dynatrace

JANUARY 22, 2024

For example, machine learning can identify correlations in data and generate predictions, while causal AI determines which ones are the true drivers. For example, causal AI can help public health officials better understand the effects of environmental factors, healthcare policies, and social factors on health outcomes. Government.

Artificial Intelligence 212

Artificial Intelligence Healthcare Retail Government 212

Dynatrace

JUNE 7, 2023

Container orchestration allows an organization to digitally transform at a rapid clip without getting bogged down by slow, siloed development, difficult scaling, and high costs associated with optimizing application infrastructure. For example , a namespace in Kubernetes is typically referred to as a project in OpenShift. Networking.

Open Source 212

Open Source Social Media Infrastructure Operating System 212

Dynatrace

APRIL 25, 2023

For example, to handle traffic spikes and pay only for what they use. These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. Scale automatically based on the demand and traffic patterns.

Serverless 213

Serverless Lambda Azure AWS 213