Dynatrace

FEBRUARY 28, 2024

In the previous blog post of this series , we discussed the crucial role of Dynatrace as an orchestrator that steps in to stop the testing phase in case of any errors. In this blog post of the series, we will explore the use of Site Reliability Guardian (SRG) in more detail.

DevOps 196

DevOps Metrics Engineering Analytics 196

Dynatrace

AUGUST 26, 2020

We are proud to s hare Dynatrace has been named the winner in the “ Best Overall AI-based Analytics Company ” category, recognized for our innovation and the business-driving impact of our AI engine, Davis. . The post Dynatrace wins AI Breakthrough Award for Davis AI engine appeared first on Dynatrace blog.

Engineering 300

Engineering DevOps Innovation AWS 300

Dynatrace

FEBRUARY 18, 2020

On the other side of the organization, application owners have hired teams of analysts to dig through web analytics tools to gain insights into the customer experience. Welcome to Dynatrace Digital Business Analytics. What does this mean and how can you unlock Digital Business Analytics? Digital Business Analytics in action.

Analytics 190

Analytics Retail Metrics Mobile 190

Dynatrace

APRIL 21, 2021

Metrics that offer measurable, repeatable insight into the user experience from the moment they arrive on a website from a mobile or desktop device. Great user experiences start with Core Web Vitals (CWVs) — a set of metrics defined by Google to help measure user experience at scale. When do these metrics matter?

Metrics 133

Metrics Google Website Speed 133

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 268

Efficiency Performance Analytics DevOps 268

Dynatrace

NOVEMBER 3, 2023

address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0: Comprehensive metrics support Extensions 2.0 Reporting and analytics assets out-of-the-box Bundles offered by Extensions 2.0 Reporting and analytics assets out-of-the-box Bundles offered by Extensions 2.0

Technology 240

Technology Technology Scalability Availability 240

Dynatrace

AUGUST 10, 2023

Dynatrace business events provide precise, real-time business metrics that support fine-grained business decisions and auditable business reporting. Business data is more than metrics Dynatrace ActiveGate extensions allow you to extend Dynatrace monitoring to any remote technology that exposes an interface.

Database 220

Database Metrics Retail Analytics 220

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. Here’s a quick overview of what you can achieve now that the Dynatrace Software Intelligence Platform has been extended to ingest third-party metrics. Dynatrace news.

Open Source 250

Open Source Metrics Analytics Tuning 250

Smashing Magazine

DECEMBER 17, 2020

Search Engine Optimization Checklist (PDF). Search Engine Optimization Checklist (PDF). Search engine optimization (SEO) is an essential part of a website’s design, and one all too often overlooked. A Smashing Guide To The World Of Search Engine Optimization. Prioritizing Metrics Online metrics are almost limitless.

Engineering 130

Engineering Google Website Analytics 130

Tasktop

JANUARY 5, 2022

Flow Metrics are a major pillar of how we measure improvement in value streams. . As organizations begin to adopt Flow Metrics , our natural tendencies emerge to massage the newfound visibility to make the metrics “look good”. In this blog, we’ll review a few of the common anti-patterns about which you you should be aware. .

Metrics 98

Metrics Speed Analytics Azure 98

Dynatrace

FEBRUARY 8, 2021

Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. To connect these siloes, and to make sense out of it requires massive manual efforts including code changes and maintenance, heavy integrations, or working with multiple analytics tools.

Cloud 256

Cloud Azure Analytics AWS 256

Dynatrace

APRIL 21, 2022

In addition, they must often use disjointed database-specific tools to collaborate with engineers, database administrators, or application owners. Enrich database performance KPIs with business analytics. There’s no need to manually configure necessary metrics or build dashboards. Get started now!

Database 237

Database DevOps Analytics Servers 237

Dynatrace

JULY 25, 2022

A full list of metrics can be found here and include dimensions such as the following: Packets. When it comes to logs and metrics, the Dynatrace platform provides direct access to the log content of all mission-critical processes. Log Metrics. Check out our Power Demo: Log Analytics with Dynatrace. Resource type.

AWS 210

AWS Transportation Network Traffic 210

Dynatrace

AUGUST 10, 2023

Dynatrace business events provide precise, real-time business metrics that support fine-grained business decisions and auditable business reporting. Business data is more than metrics Dynatrace Extensions enable the expansion of Dynatrace monitoring to encompass any technology that provides an interface.

Database 130

Database Metrics Retail Analytics 130

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications.

Cache 199

Cache Azure Infrastructure Monitoring 199

Dynatrace

APRIL 26, 2022

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. Expanding on the traditional observability pillars of metrics, logs, and traces, DEM collects user experience data to complete the end-to-end picture.

Monitoring 196

Monitoring Social Media IoT Metrics 196

Dynatrace

DECEMBER 9, 2020

HANA maintains all the business and analytics data that your business runs on. However, if you’re an operations engineer who’s been tasked with migrating to HANA from a legacy database system, you’ll need to get up to speed quickly. Enable the Davis AI causation engine to automatically analyze every metric.

Infrastructure 192

Infrastructure Database Monitoring Metrics 192

Dynatrace

SEPTEMBER 23, 2021

To solve this problem, Dynatrace automatically analyzes AWS Distribution for OpenTelemetry data, adds topological context, and makes it easy to find the root cause of problems using Dynatrace Davis®, our AI causation engine. AI-powered analytics —Automatic root cause detection . Ingest OpenTelemetry metrics. Get started today.

AWS 216

AWS Lambda Serverless Metrics 216

Dynatrace

FEBRUARY 13, 2020

With this announcement: Davis now automatically ingests additional Kubernetes events and metrics, including state changes, workload changes and critical events across clusters, containers and runtimes. Ability to create custom metrics and events from log data, extending Dynatrace observability to any application, script or process.

Performance 228

Performance Analytics Mobile Innovation 228

Dynatrace

NOVEMBER 22, 2021

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. The post AWS observability: AWS monitoring best practices for resiliency appeared first on Dynatrace blog. And why it matters. Watch demo now!

Best Practices 204

Best Practices AWS Monitoring Serverless 204

The Netflix TechBlog

JANUARY 13, 2022

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. This blog will explore these two systems and how they perform auto-diagnosis and remediation across our Big Data Platform and Real-time infrastructure.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

Dynatrace

SEPTEMBER 18, 2020

By leveraging the Dynatrace Davis AI causation engine to watch for unforeseen changes in underlying API responsiveness, Dynatrace automatically identifies slowdowns in the performance of your API manager and points you to their root cause. Looking at the key metrics of the deployment does not reveal anything out of the ordinary.

Infrastructure 190

Infrastructure Latency Metrics Analytics 190

Dynatrace

JANUARY 13, 2022

As organizations started learning about Log4Shell from news feeds, blogs, and social media, the Dynatrace security team—and Dynatrace Application Security—kicked into action. Each engineering team had dedicated security team members as points of contact in case of questions, necessary advice, and status updates.

Social Media 218

Social Media Strategy Media Java 218

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. The Dynatrace platform approach to managing your cloud initiatives provides insights and answers to not just see what could go wrong but what could go right.

AWS 240

AWS Efficiency Azure Cloud 240

Dynatrace

APRIL 28, 2020

In addition to APM , th is platform offers our customers infrastructure monitoring spanning logs and metrics, digital business analytics, digital experience monitoring, and AIOps capabilities. T he Dynatrace Software Intelligence Platform includes multiple modules, underpinned by a common data model.

DevOps 236

DevOps Innovation Monitoring Analytics 236

Dynatrace

NOVEMBER 8, 2021

APM solutions track key software application performance metrics using monitoring software and telemetry data. These solutions provide performance metrics for applications, with specific insights into the statistics, such as the number of transactions processed by the application or the response time to process such transactions.

Artificial Intelligence 226

Artificial Intelligence Monitoring Infrastructure Cloud 226

Dynatrace

JANUARY 28, 2021

To effectively address such warning signs, organizations need to focus on putting observability data into context—mapping and visualizing relationships and dependencies within all collected telemetry data—not only traces, metrics, and logs. Such monitoring data is critical to providing satisfying digital experiences and services to customers.

Traffic 161

Traffic Open Source Servers Cloud 161

Dynatrace

NOVEMBER 22, 2021

Not just logs, metrics and traces. Dynatrace extends contextual analytics and AIOps for open observability. To achieve that strategic advantage, teams turn to AI and AIOps, the discipline of applying AI and advanced analytics to IT operations. 9 key DevOps metrics for success. And how to to achieve observability?

AWS 222

AWS Lambda Artificial Intelligence Serverless 222

Percona

JUNE 22, 2023

In this blog, we will explore various MySQL KPIs that are basic and essential to track using monitoring tools like PMM. This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index.

Performance 105

Performance Monitoring Traffic Database 105

Dynatrace

DECEMBER 2, 2021

These can include business metrics, such as conversion rates, uptime, and availability; service metrics, such as application performance; or technical metrics, such as dependencies to third-party services, underlying CPU, and the cost of running a service. What are SLIs? For example, if your SLO is to deliver 99.5%

Metrics 184

Metrics Best Practices DevOps Infrastructure 184

Dynatrace

NOVEMBER 17, 2020

With the arrival of this release candidate (RC), the community’s focus now shifts to providing tracing RC component releases, as well as producing a metrics specification RC. My name is Armin Ruech, I’m a Software Engineer at Dynatrace and I started as a software developer around 3.5 Dynatrace fully embraces OpenTelemetry. years ago.

Open Source 151

Open Source Software Engineering Government Java 151

Dynatrace

MAY 27, 2022

This automatic analysis enables engineers to spend more time innovating and improving business operations. For example, a typical use case involves a web server running an analytics and reporting system. Logs show when Linux servers were restarted, and operations engineers can dig into the steps that started the process.

Artificial Intelligence 180

Artificial Intelligence Innovation Servers Database 180

Dynatrace

NOVEMBER 5, 2019

Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace. Application Insights – Collects performance metrics of the application code. Dynatrace does this by querying Azure monitor APIs to collect platform metrics. Do I need more than Azure Monitor?

Azure 135

Azure Artificial Intelligence Metrics Innovation 135

Dynatrace

MAY 7, 2019

These enhancements include: Integration of the new Kubernetes/OpenShift cluster metrics with custom charting. Native integration of Kubernetes/OpenShift node events with the Davis AI causation engine. Universal container-level metrics for resource contention analytics. appeared first on Dynatrace blog.

Monitoring 199

Monitoring Architecture Metrics Analytics 199

Percona

JANUARY 3, 2024

A couple of weeks ago, we announced the first GA release of the PMM Dump : a new support tool that dumps Percona Monitoring and Management (PMM) metrics and Query Analytics (QAN) data to transfer to the expert engineer for review and performance suggestions. That blog introduced a command-line interface.

Monitoring 91

Monitoring Open Source Database Servers 91

Percona

MARCH 17, 2023

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. Please note that the focus of these tests was around standard metrics gathering and display, we’ll use a future blog post to benchmark some of the more intensive query analytics (QAN) performance numbers.

Monitoring 100

Monitoring Scalability Cache Database 100

The Netflix TechBlog

JULY 30, 2019

and beyond By Anoop Panicker and Kishore Banala Conductor is a workflow orchestration engine developed and open-sourced by Netflix. Many of the Netflix Content and Studio Engineering services rely on Conductor for efficient processing of their business flows. The Netflix Media Database (NMDB) is one such example.

Lambda 189

Lambda Media Open Source Metrics 189