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 175

Metrics Engineering Energy Tuning 175

Dynatrace

SEPTEMBER 28, 2021

Now, with the hard work done, you can sit back, relax, and witness the collaboration between your Dev and Ops teams as they deliver better quality software faster. 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.

DevOps 196

DevOps Metrics Traffic Efficiency 196

Dynatrace

OCTOBER 4, 2022

Several pain points have made it difficult for organizations to manage their data efficiently and create actual value. Still, it is critical to collect, store, and make easily accessible these massive amounts of log data for analysis. This approach is cumbersome and challenging to operate efficiently at scale.

Analytics 231

Analytics Artificial Intelligence Storage Serverless 231

Dynatrace

SEPTEMBER 14, 2022

As an industry leader, Dynatrace promotes primarily using software and AI to deal with this complexity at scale instead of just putting data on dashboards. Does that mean that reactive and exploratory data analysis, often done manually and with the help of dashboards, are dead?

Metrics 225

Metrics Analytics Monitoring Efficiency 225

DZone

MAY 12, 2021

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

Code 226

Code Metrics Efficiency Engineering 226

DZone

NOVEMBER 9, 2021

After several outages which could have been prevented by trivial monitoring/alerting/analysis, you start treating your monitoring as a first-class citizen.nn> manual testingnnYeap. Metrics abstract you away from all details. As soon as some process (like gathering metrics) becomes a goal (vs.

Software 245

Software Software Code Energy 245

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

OCTOBER 4, 2022

Software and data are a company’s competitive advantage. That’s because every company is now a software company. As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. That’s exactly what a software intelligence platform does.

Analytics 187

Analytics Software Software Storage 187

Dynatrace

MAY 6, 2024

This way, disruptions are minimized, MTTR is significantly decreased, and DevSecOps and SREs collaborate efficiently to boost productivity. Problem remediation is too time-consuming According to the DevOps Automation Pulse Survey 2023 , on average, a software engineer takes nine hours to remediate a problem within a production application.

DevOps 282

DevOps Software Engineering Games Java 282

Dynatrace

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. However, these practices cannot stand alone.

DevOps 187

DevOps Engineering Artificial Intelligence Infrastructure 187

Dynatrace

NOVEMBER 2, 2022

Why organizations are turning to software development to deliver business value. Digital immunity has emerged as a strategic priority for organizations striving to create secure software development that delivers business value. Software development success no longer means just meeting project deadlines. Autonomous testing.

Software 192

Software Software Artificial Intelligence DevOps 192

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 200

DevOps Metrics Engineering Analytics 200

Dynatrace

NOVEMBER 23, 2020

Today’s highly dynamic, heterogeneous, and complex software systems require organizations to establish observability for all provided cloud-native services. T o get performance insights into applications and efficiently troubleshoot and optimize them, you need precise and actionable analytics across the entire software life cycle.

Metrics 150

Metrics Open Source Tuning Analytics 150

Dynatrace

FEBRUARY 1, 2024

Any problem, such as a simple software update overburdening a critical database, can cause a ripple effect that degrades the performance of dependent services or applications. To overcome these complex issues, teams must quickly find root causes among numerous alerts and metrics.

Infrastructure 178

Infrastructure Metrics Network Monitoring 178

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 243

AWS Efficiency Azure Cloud 243

Dynatrace

AUGUST 17, 2023

Some years ago, I worked closely with the Spring Framework team as a product manager at Pivotal Software. Spring also introduced Micrometer, a vendor-agnostic metric API with rich instrumentation options. Soon after, Dynatrace built a registry for exporting Micrometer metrics. This also led to improvements in our ingest API.

Metrics 194

Metrics Analytics Speed Java 194

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. 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

JANUARY 31, 2024

Removing blind spots proactively prevents security incidents and ensures that performance metrics reflect the true state of the environment. Efficient service discovery and automatic recommendations As soon as OneAgent is deployed on previously unmonitored hosts, it shows all findings gathered with lightweight eBPF Service Discovery.

Analytics 170

Analytics Infrastructure Monitoring Cloud 170

Dynatrace

MAY 3, 2024

Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. Their job is to find out the root cause of any SLO violations, ensure visibility into the application landscape to fix problems efficiently and minimize production costs by reducing errors.

Cloud 214

Cloud Lambda AWS Analytics 214

Dynatrace

JULY 11, 2023

By leveraging the Dynatrace Operator and Dynatrace capabilities on Red Hat OpenShift on IBM Power, customers can accelerate their modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes.

Architecture 167

Architecture Availability Infrastructure Metrics 167

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 204

DevOps Artificial Intelligence Metrics Network 204

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 226

Analytics Social Media Metrics Efficiency 226

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. A truly modern AIOps solution also serves the entire software development lifecycle to address the volume, velocity, and complexity of multicloud environments.

Artificial Intelligence 282

Artificial Intelligence Cloud Innovation Strategy 282

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Metrics, logs , and traces make up three vital prongs of modern observability. Most infrastructure and applications generate logs.

Systems 183

Systems Cloud Analytics DevOps 183

Dynatrace

NOVEMBER 14, 2023

Upon gathering these metrics, engineers may then demonstrate how the implementation of strong, enterprise-wide SRE practices can help reduce toil, employee burnout, operational expenses, and the number of unaccomplished SLOs. By recognizing small wins, teams can avoid becoming overwhelmed by the thought of reaching larger objectives.

Best Practices 188

Best Practices Engineering DevOps Software Engineering 188

Dynatrace

FEBRUARY 28, 2024

Department of Veterans Affairs (VA) is packaging application code along with its libraries and dependencies within an executable software unit. Dynatrace container monitoring supports customers as they collect metrics, traces, logs, and other observability-enabled data to improve the health and performance of containerized applications. “In

Monitoring 179

Monitoring Artificial Intelligence Performance Healthcare 179

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. Automate cloud operations and trigger remediation workflow to enhance efficiency. Log Metrics.

AWS 214

AWS Transportation Network Traffic 214

Dynatrace

FEBRUARY 9, 2021

The Dynatrace Software Intelligence Hub helps enterprises easily apply AI to all technologies and data sources and unlock automation at scale. You don’t even have to know which technologies are running to get information beyond observability plus automatic anomaly detection and root cause analysis.

Software 143

Software Software Technology Technology 143

Dynatrace

JULY 29, 2022

This is also known as root-cause analysis. It’s also common for teams, as part of their log monitoring practice, to write business metrics to a log that can then be tracked on a dashboard or trigger an alert. Peak performance analysis. If an application fails, log analytics can trace the error back to its source.

Analytics 211

Analytics Storage Retail Monitoring 211

Dynatrace

OCTOBER 4, 2022

How does a data lakehouse—the combination of a data warehouse and a data lake—together with software intelligence, bring data insights to life? Achieving the ideal state with aggregated, centralized log data, metrics, traces , and other metadata is challenging—particularly for multicloud environments.

Analytics 217

Analytics Storage Infrastructure Metrics 217

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. Organizations that miss out on implementing AI risk falling behind their competition in an age where software delivery speed, agility, and security are crucial success factors.

Artificial Intelligence 182

Artificial Intelligence Analytics Efficiency Database 182

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 279

Traffic Metrics Systems Strategy 279

Dynatrace

APRIL 21, 2022

Most monitoring tools for migrations, development, and operations focus on collecting and aggregating the three pillars of observability— metrics, traces, and logs. Getting precise root cause analysis when dealing with several layers of virtualization in a containerized world. Performance efficiency. Operational excellence.

Azure 184

Azure Monitoring Virtualization Metrics 184

Dynatrace

OCTOBER 17, 2022

Thus, modern AIOps solutions encompass observability, AI, and analytics to help teams automate use cases related to cloud operations (CloudOps), software development and operations (DevOps), and securing applications (SecOps). This second solution picks up at data collection, aggregation, and analysis, preparing it for execution.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

Dynatrace

AUGUST 21, 2023

But, as Justin Scherer, senior software engineer from Northwestern Mutual found, OpenTelemetry by itself is not a panacea. Based on the W3C open standard Trace Context , OpenTelemetry standardizes telemetry data from multiple sources, so organizations have the capacity to deeply analyze software behavior and performance.

Open Source 192

Open Source Analytics Lambda Metrics 192

Dynatrace

OCTOBER 17, 2023

Customers experience delayed time to value from the data they’re ingesting as they must take additional steps to make the data useful for troubleshooting and analysis, such as re-indexing. Customers find themselves confined to models that limit their ability to leverage the volume of data they possess for practical analysis.

Retail 233

Retail Storage Best Practices Architecture 233