DZone

MAY 12, 2021

"Employing these Metrics to excel the performance of code directly impacts the profitability of the business. So, if your goal is high reliability, readability, and efficiency in the code, you need to employ quality checks for your code. Achieving high-quality standards ultimately increases the ROI of the software.

Code 235

Code Metrics Efficiency Engineering 235

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 213

DevOps Metrics Traffic Efficiency 213

Dynatrace

APRIL 5, 2024

Consequently, the AI is founded upon the related events, and due to the detection parameters (threshold, period, analysis interval, frequent detection, etc), an issue arose. Data Explorer “test your Metric Expression” for info result coming from the above metric. By analogy, envision an apple tree where an apple drops.

Efficiency 237

Efficiency Traffic Tuning Metrics 237

Dynatrace

SEPTEMBER 14, 2022

Does that mean that reactive and exploratory data analysis, often done manually and with the help of dashboards, are dead? And so, getting simple visualization use cases done efficiently becomes far from the norm. The key lies in finding the best combination of these two worlds to yield the best insights and results.

Metrics 241

Metrics Analytics Monitoring Efficiency 241

Dynatrace

APRIL 20, 2023

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. Traditional log analysis evaluates logs and enables organizations to mitigate myriad risks and meet compliance regulations. But they struggle to store unstructured data.

Analytics 200

Analytics Infrastructure Storage Architecture 200

Dynatrace

MARCH 29, 2023

With this Google Cloud Ready integration, Dynatrace ensures that AlloyDB for PostgreSQL users can now ingest metrics along with existing Google Cloud data. The post Dynatrace announces support of Google Cloud’s AlloyDB for PostgreSQL metrics ingest appeared first on Dynatrace news.

Google 231

Google Metrics Cloud Analytics 231

DZone

JUNE 15, 2023

As one of the most popular open-source Kubernetes monitoring solutions, Prometheus leverages a multidimensional data model of time-stamped metric data and labels. The platform uses a pull-based architecture to collect metrics from various targets. These considerations include:

Open Source 298

Open Source Metrics Efficiency Architecture 298

Dynatrace

NOVEMBER 11, 2022

DevOps teams don’t need just more noise—they need smarter alerting that is automatic, accurate, and actionable with precise root cause analysis. Root cause analysis is often hampered by a lack of timely information, the involvement of multiple tools, or conflicting sources of truth. What you need to know for root cause analysis.

DevOps 193

DevOps C++ Serverless Processing 193

Dynatrace

SEPTEMBER 5, 2024

These developments open up new use cases, allowing Dynatrace customers to harness even more data for comprehensive AI-driven insights, faster troubleshooting, and improved operational efficiency. Customers have had a positive response to our native syslog implementation, noting its easy setup and efficiency.

Innovation 273

Innovation AWS Analytics Storage 273

Dynatrace

NOVEMBER 12, 2020

Recently, we simplified StatsD, Telegraf, and Prometheus observability by allowing you to capture and analyze all your custom metrics. Gain fine-grained access control for Prometheus, StatsD, and Telegraf metrics. To achieve this, you can now grant access to any single metric within a Dynatrace management zone.

Metrics 213

Metrics Retail Monitoring Analytics 213

Dynatrace

JULY 22, 2024

Observability Observability is the ability to determine a system’s health by analyzing the data it generates, such as logs, metrics, and traces. There are three main types of telemetry data: Metrics. Metrics are typically aggregated and stored in time series databases for monitoring and alerting purposes.

Latency 245

Latency Best Practices Metrics Open Source 245

Dynatrace

DECEMBER 18, 2023

To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus. Named after the Greek god who brought fire down from Mount Olympus, Prometheus metrics have been transforming observability since the project’s inception in 2012.

Metrics 190

Metrics Engineering Energy Tuning 190

Dynatrace

NOVEMBER 4, 2024

To address this, deeper analysis at the query level is necessary. Additionally, it allows you to analyze how resource consumption or performance metrics for a given query have changed over time. Statement performance analysis Expanding the query row allows you to analyze query performance over time from various perspectives.

Database 194

Database Performance Metrics Monitoring 194

Scalegrid

JANUARY 25, 2024

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Redis returns a big list of database metrics when you run the info command on the Redis shell. You can pick a smart selection of relevant metrics from these.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

NOVEMBER 23, 2020

As the application owner of an e-commerce application, for example, you can enrich the source code of your application with domain-specific knowledge by adding actionable semantics to collected performance or business metrics. New OpenTelemetry metrics exporters provide the broadest language support on the market.

Metrics 152

Metrics Open Source Tuning Analytics 152

Dynatrace

NOVEMBER 20, 2024

Combined with Microsoft Sentinel, Dynatrace automation and AI capabilities provide SecOps teams with deeper intelligence to detect attacks, vulnerabilities, audit logs, and problem events based on metrics, logs, and traces it collects from monitored environments. Runtime vulnerability analysis.

Best Practices 278

Best Practices Innovation Azure Cloud 278

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. However, AIOps makes it possible to automate key tasks, such as error detection, alert analysis, and event reporting. For example: Greater IT staff efficiency.

Artificial Intelligence 298

Artificial Intelligence Cloud Innovation Strategy 298

Dynatrace

DECEMBER 12, 2024

I realized that our platforms unique ability to contextualize security events, metrics, logs, traces, and user behavior could revolutionize the security domain by converging observability and security. Collect observability and security data user behavior, metrics, events, logs, traces (UMELT) once, store it together and analyze in context.

Analytics 214

Analytics Government Efficiency Innovation 214

Dynatrace

MARCH 22, 2021

As a Network Engineer, you need to ensure the operational functionality, availability, efficiency, backup/recovery, and security of your company’s network. As you might know, we recently simplified observability for all custom metrics by making it possible to ingest hundreds of custom data sources into Dynatrace. Events and alerts.

Metrics 246

Metrics Network Infrastructure Traffic 246

The Netflix TechBlog

SEPTEMBER 10, 2024

Traditional performance analysis tools such as perf can introduce significant overhead, risking further performance degradation. Continuous instrumentation is critical to catching such matters as they emerge, and eBPF, with its hooks into the Linux scheduler with minimal overhead, enabled us to monitor run queue latency efficiently.

Latency 251

Latency Metrics Programming Monitoring 251

Dynatrace

MARCH 29, 2023

Stay ahead of the curve with the OS Services extension for monitored hosts The new Dynatrace OS Services monitoring capability for Windows and Linux hosts (Systemd is required) ensures that your systems run efficiently and potential problems are addressed as soon as they arise. We’re always interested in your feedback.

Efficiency 130

Efficiency Monitoring Metrics Virtualization 130

Dynatrace

SEPTEMBER 8, 2023

In part 2, we’ll show you how to retrieve business data from a database, analyze that data using dashboards and ad hoc queries, and then use a Davis analyzer to predict metric behavior and detect behavioral anomalies. Dynatrace users typically use extensions to pull technical monitoring data, such as device metrics, into Dynatrace.

Database 279

Database Artificial Intelligence Metrics Monitoring 279

Dynatrace

NOVEMBER 3, 2020

A few months ago we wrote about how you can scale your API operations with our version 2 APIs , by showing off the Dynatrace Metrics API v2 and the Monitored entities API v2. Define SLOs and KPIs for your services by fetching root cause details across the Problems, Metrics, and Events API endpoints.

Metrics 246

Metrics Monitoring Efficiency Availability 246

Dynatrace

MAY 6, 2024

This way, disruptions are minimized, MTTR is significantly decreased, and DevSecOps and SREs collaborate efficiently to boost productivity. Davis AI root cause analysis is used to pinpoint the problem, entity, and root cause. Executing corrective actions. Keeping relevant stakeholders in the loop. In-context topology identification.

DevOps 295

DevOps Software Engineering Games Java 295

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 259

AWS Efficiency Azure Cloud 259

Dynatrace

NOVEMBER 9, 2023

Efficient coordination among resource usage, requests, and allocation is critical. It’s important to choose the right metrics to track based on your objective. As every container has defined requests for CPU and memory, these indicators are well-suited for efficiency monitoring.

Efficiency 287

Efficiency Monitoring Best Practices Open Source 287

Dynatrace

DECEMBER 2, 2024

Part of the problem is technologies like cloud computing, microservices, and containerization have added layers of complexity into the mix, making it significantly more challenging to monitor and secure applications efficiently. With AIOps, it is possible to detect anomalies automatically with root-cause analysis and remediation support.

Artificial Intelligence 190

Artificial Intelligence DevOps Architecture Cloud 190

Dynatrace

NOVEMBER 1, 2022

DevOps and ITOps teams rely on incident management metrics such as mean time to repair (MTTR). These metrics help to keep a network system up and running?, Other such metrics include uptime, downtime, number of incidents, time between incidents, and time to respond to and resolve an issue. So, what is MTTR?

DevOps 219

DevOps Artificial Intelligence Metrics Network 219

DZone

JUNE 15, 2023

In order to gain insight into these problems, we gather a range of metrics and logs to monitor the utilization of system resources such as CPU, memory, and application-specific latencies. It is worth noting that this data collection process does not impact the performance of the application.

Latency 253

Latency Storage Strategy Metrics 253

The Netflix TechBlog

JUNE 13, 2023

By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. The results are then evaluated using specific metrics to determine whether the hypothesis is valid.

Traffic 287

Traffic Metrics Systems Strategy 287

The Netflix TechBlog

JUNE 7, 2021

The Flow Exporter also publishes various operational metrics to Atlas. These metrics are visualized using Lumen , a self-service dashboarding infrastructure. The data is also used by security and other partner teams for insight and incident analysis. So how do we ingest and enrich these flows at scale ?

Network 327

Network Transportation AWS Cloud 327

Dynatrace

SEPTEMBER 3, 2020

Before diving into further details, I wanted to highlight that there are in fact two different categories of AIOps: traditional AIOps approaches are known for just cutting through the noise – i.e. reducing alerts through correlation that has little to nothing to do with the root-cause analysis. Lost and rebuilt context.

Software 264

Software Software Artificial Intelligence Metrics 264

Dynatrace

FEBRUARY 28, 2024

SRG is a potent tool that automates the analysis of release impacts, ensuring validation of service availability, performance, and capacity objectives throughout the application ecosystem by examining the effect of advanced test suites executed earlier in the testing phase.

DevOps 216

DevOps Metrics Engineering Analytics 216

Dynatrace

OCTOBER 17, 2024

The newly introduced Network devices and Details view within Hosts provide comprehensive health status information, relevant networking signals, and machine metrics—all analyzed and provided by the industry-leading combination of Dynatrace Grail™ data lakehouse and Davis ® AI. Overview of a cloud-hosted frontend web application.

Infrastructure 217

Infrastructure Network DevOps Metrics 217

Dynatrace

OCTOBER 4, 2022

These technologies are poorly suited to address the needs of modern enterprises—getting real value from data beyond isolated metrics. This starts with a highly efficient ingestion pipeline that supports adding hundreds of petabytes daily. So, there was a need to do something revolutionary. Thus, Grail was born.

Artificial Intelligence 278

Artificial Intelligence Analytics Storage Architecture 278

The Netflix TechBlog

NOVEMBER 11, 2022

Data analysis and machine learning techniques are great candidates to help secure large-scale streaming platforms. Although model-based anomaly detection approaches are more scalable and suitable for real-time analysis, they highly rely on the availability of (often labeled) context-specific data.

C++ 323

C++ Metrics Tuning Strategy 323

Dynatrace

FEBRUARY 1, 2024

Centralization brings all the critical metrics and logs into one place, providing a holistic perspective over your cloud environment. Logs and metrics in context The Clouds app simplifies cloud operations by providing detailed logs and metrics in context. Metrics charts are available for each selected resource.

Cloud 217

Cloud Strategy Metrics Government 217