Dynatrace

JANUARY 22, 2025

As more organizations embrace DevOps and CI/CD pipelines, GitHub-hosted runners and GitHub Actions have emerged as powerful tools for automating workflows. This awareness allows teams to allocate and scale resources more effectively, reducing costs while ensuring CI/CD pipelines operate smoothly and efficiently.

Monitoring 242

Monitoring DevOps Metrics Virtualization 242

Dynatrace

FEBRUARY 10, 2023

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. Further, automation has become a core strategy as organizations migrate to and operate in the cloud.

Efficiency 306

Efficiency Performance Analytics DevOps 306

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 276

DevOps Artificial Intelligence Metrics Network 276

Dynatrace

NOVEMBER 2, 2023

As a result, organizations are investing in DevOps automation to meet the need for faster, more reliable innovation. Automation is a crucial aspect of achieving DevOps excellence. But according to the 2023 DevOps Automation Pulse , only 56% of end-to-end DevOps processes are automated.

DevOps 246

DevOps Benchmarking Azure Innovation 246

Dynatrace

OCTOBER 1, 2021

As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments. 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.

Metrics 363

Metrics Open Source Monitoring Cloud 363

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 246

DevOps Engineering Artificial Intelligence Infrastructure 246

Dynatrace

APRIL 9, 2025

The need for application and DevOps modernization to deliver on business outcomes has never been greater. Dynatrace OneAgent allows teams to observe Google Kubernetes Engine pods , nodes, clusters, and workload metrics, events, and logs, in addition to automated distributed tracing for applications and microservices.

Google 195

Google Cloud Infrastructure Analytics 195

Dynatrace

DECEMBER 6, 2022

DevOps and site reliability engineering (SRE) teams aim to deliver software faster and with higher quality. We refer to this culture and practice as observability-driven DevOps and SRE automation. The role of observability within DevOps. The results of observability-driven DevOps speak for themselves.

DevOps 246

DevOps Metrics Engineering Speed 246

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. Though the industry champions observability as a vital component, it’s become clear that teams need more than data on dashboards to overcome persistent DevOps challenges.

DevOps 246

DevOps Traffic Efficiency Servers 246

DZone

MARCH 11, 2021

A highly efficient Kubernetes setup generates innumerable new metrics every day, making monitoring cluster health quite challenging. You might find yourself sifting through several different metrics without being entirely sure which ones are the most insightful and warrant utmost attention.

Metrics 263

Metrics Monitoring Efficiency DevOps 263

Dynatrace

APRIL 5, 2024

Data Explorer “test your Metric Expression” for info result coming from the above metric. Following the previous metric (above) used for the SLO, the threshold employed is an average of 100 ms for the Key Performance Indicator (KPI) of DOM Interactive. Interested in learning more? Contact us for a free demo.

Efficiency 264

Efficiency Traffic Tuning Metrics 264

Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently.

Serverless 246

Serverless Efficiency Lambda Azure 246

Dynatrace

NOVEMBER 7, 2023

Centralization of platform capabilities improves efficiency of managing complex, multi-cluster infrastructure environments According to research findings from the 2023 State of DevOps Report , “36% of organizations believe that their team would perform better if it was more centralized.” All important health signals are highlighted.

Engineering 306

Engineering DevOps Best Practices Infrastructure 306

Dynatrace

APRIL 6, 2022

A full-stack observability solution uses telemetry data such as logs, metrics, and traces to give IT teams insight into application, infrastructure, and UX performance. DevOps teams can also benefit from full-stack observability. With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting.

DevOps 303

DevOps Innovation Infrastructure Cloud 303

DZone

MAY 25, 2023

AIOps (Artificial Intelligence for IT Operations) is a cutting-edge solution that combines AI, ML, and automation to enhance DevOps practices and streamline IT operations. This helps DevOps teams make informed decisions, proactively detect and resolve issues, and improve overall operational efficiency.

Artificial Intelligence 173

Artificial Intelligence DevOps Games Metrics 173

Dynatrace

NOVEMBER 3, 2023

Many consider it an effective solution for improving efficiency and overall satisfaction for developers across a variety of organizations and industries. DevOps and the platform engineer role In the world of DevOps, the role of platform engineers is relatively new. To some extent, the two practices complement each other.

Engineering 264

Engineering DevOps Software Engineering Scalability 264

Dynatrace

SEPTEMBER 8, 2022

Metrics, logs , and traces make up three vital prongs of modern observability. Together with metrics, three sources of data help IT pros identify the presence and causes of performance problems, user experience issues, and potential security threats. This enables IT teams to quickly and efficiently find the answers they need.

Cloud 260

Cloud Systems Analytics DevOps 260

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 333

Efficiency Monitoring Best Practices Open Source 333

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs.

Engineering 264

Engineering Development DevOps Infrastructure 264

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Not just logs, metrics and traces. Its approach to serverless computing has transformed DevOps. DevOps/DevSecOps with AWS.

AWS 246

AWS Lambda Artificial Intelligence Serverless 246

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 306

DevOps Software Engineering Games Java 306

Dynatrace

MAY 3, 2024

Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. Amazon Data Firehose helps stream logs to the right destination But your SREs and DevOps engineers know CloudWatch is not the terminal destination for data but rather an intermediate station.

Cloud 279

Cloud Lambda AWS Analytics 279

Dynatrace

SEPTEMBER 5, 2023

Predictive AI empowers site reliability engineers (SREs) and DevOps engineers to detect anomalies and irregular patterns in their systems long before they escalate into critical incidents. Through predictive analytics, SREs and DevOps engineers can accurately forecast resource needs based on historical data. Capacity planning.

Artificial Intelligence 279

Artificial Intelligence DevOps Analytics Engineering 279

Dynatrace

JULY 22, 2024

If you work in software development, SRE, or DevOps, you’ve likely heard the terms observability, telemetry, and tracing. 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.

Latency 264

Latency Best Practices Metrics Open Source 264

Dynatrace

MAY 4, 2022

Cloud-native applications now dominate IT as DevOps teams respond to growing demands to deliver functionality faster and more securely. As DevOps teams are pivoting to cloud-native technologies, IT environments have become increasingly complex. Dynatrace news. Improving cross-team collaboration improves cloud-native success.

Cloud 246

Cloud DevOps Strategy Monitoring 246

Dynatrace

MARCH 20, 2024

In this article, we’ll explore these challenges in detail and introduce Keptn, an open source project that addresses these issues, enhancing Kubernetes observability for smoother and more efficient deployments. Insufficient CPU and memory allocation to pods can lead to resource contention and stop Pods from being created.

Open Source 299

Open Source Hardware DevOps Infrastructure 299

Dynatrace

FEBRUARY 28, 2024

This view seamlessly correlates crucial events across all affected components, eliminating the manual effort of sifting through various monitoring tools for infrastructure, process, or service metrics. By using JavaScript and DQL, these dashboards can help generate reports on the current DORA metrics.

DevOps 264

DevOps Metrics Engineering Analytics 264

Dynatrace

MARCH 29, 2024

As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency. Organizations are turning to AI to automate manual tasks and see immediate benefits in IT operations, cybersecurity, and application development or DevOps.

Artificial Intelligence 246

Artificial Intelligence DevOps Strategy Open Source 246

Dynatrace

OCTOBER 23, 2023

At financial services company, Soldo, efficiency and security by design are paramount goals. Since 2015, the Soldo business spend management platform has provided companies with a simple and efficient way to better spend and control company money. to be efficient and fast at what we do,” Domenella said.

Design 264

Design Innovation DevOps Open Source 264

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). DevOps: Applying AIOps to development environments. The deviating metric is response time.

DevOps 246

DevOps Artificial Intelligence Healthcare Innovation 246

Dynatrace

NOVEMBER 2, 2022

Organizations have increasingly turned to software development to gain competitive edge, to innovate and to enable more efficient operations. With logs, metrics, traces as well as user data and context, a modern observability platform can identify an issue or anomaly and, in some cases, automatically address the issue.

Software 246

Software Software Artificial Intelligence DevOps 246

Dynatrace

SEPTEMBER 29, 2021

The time and effort saved with testing and deployment are a game-changer for DevOps. Rather than individually managing each container in a cluster, a DevOps team can instead tell Kubernetes how to allocate the necessary resources in advance. In production, containers are easy to replicate. Networking. Observability.

Open Source 334

Open Source DevOps Traffic Cloud 334

DZone

AUGUST 20, 2020

The widespread use of containers in DevOps allows dev teams to increase their efficiency in application development and enables them to bypass the barrier of different computing environments for their apps. Container monitoring allows you to track all of the metrics and states of your containers.

Monitoring 214

Monitoring DevOps Metrics Efficiency 214

Dynatrace

NOVEMBER 15, 2021

DevOps teams often use a log monitoring solution to ingest application, service, and system logs so they can detect issues at any phase of the software delivery life cycle (SDLC). Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient. More automation.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

Dynatrace

APRIL 1, 2021

Behind the scenes working to meet this demand are DevOps teams, spinning up multicloud IT environments to accelerate digital transformation so their organizations can sustain growth at this new pace. Although these environments use fewer resources, they enable DevOps teams to deliver greater capabilities on a wider scale.

Azure 252

Azure AWS DevOps Cloud 252

Dynatrace

FEBRUARY 15, 2023

In addition, they can automatically route precise answers about performance and security anomalies to relevant teams to ensure action in a timely and efficient manner. This helps organizations chart a path to automation, improving efficiency and reducing the risk of errors or inconsistencies.

Code 264

Code DevOps Cloud Analytics 264

Dynatrace

APRIL 28, 2020

Also , in a field of fifteen vendors analy z ed by Gartner, Dynatrace received the highest scores in five of six critical capabilities use cases: CloudOps, DevOps Release, IT Operations, Application Support, and Application Development. . F or the third time in a row, we are positioned furthest in the quadrant for Completeness of Vision.

DevOps 264

DevOps Innovation Monitoring Analytics 264