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 234

Engineering Development DevOps Infrastructure 234

Dynatrace

APRIL 29, 2021

To compete, organizations have to achieve both speed and reliability when bringing new products and services to market. To meet this demand, organizations are adopting DevOps practices , such as continuous integration and continuous delivery, and the related practice of continuous deployment, referred to collectively as CI/CD.

DevOps 263

DevOps Logistics Code Software 263

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 202

Analytics Monitoring Artificial Intelligence DevOps 202

Dynatrace

NOVEMBER 7, 2023

Provide self-service platform services with dedicated UI for development teams to improve developer experience and increase speed of delivery. Furthermore, a centralized Kubernetes management view offers extended centralized monitoring and alerting capabilities, particularly for node failure incidents.

Engineering 267

Engineering DevOps Best Practices Infrastructure 267

Dynatrace

OCTOBER 30, 2023

Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing. Digital transformation continues surging forward. But this task has become challenging. Everything is ‘as code’ in Dynatrace,” said Reitbauer.

Engineering 239

Engineering DevOps Innovation Storage 239

Dynatrace

JANUARY 23, 2024

‘Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. Check back here throughout the event for the latest news, insights, and announcements.

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Dynatrace

MAY 24, 2024

These criteria include operational excellence, security and data privacy, speed to market, and disruptive innovation. But as a company with a mission to “ Do It Right ” and be a relentless ally for customers and communities, the high-cost monitoring solutions it was using provided only limited insights into end-user experiences.

Technology 209

Technology Technology Analytics Innovation 209

Dynatrace

OCTOBER 17, 2022

While the benefits of AIOps are plentiful — including increased automation, improved event prioritization and incident response, and accelerated digital transformation — applying AIOps use cases to an organization’s real-world operations issues can be challenging. CloudOps includes processes such as incident management and event management.

DevOps 189

DevOps Artificial Intelligence Healthcare Innovation 189

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. Check out the guide from last year’s event. A data lakehouse eliminates team silos and delivers faster, high-quality insights.

Efficiency 269

Efficiency Performance Analytics DevOps 269

Dynatrace

NOVEMBER 9, 2021

Amplify PowerUP, our half-yearly global event to update our partner community, covered a lot of ground including key Partner Program announcements, Q2 earnings and partner contribution, market growth and momentum, Dynatrace platform capabilities, and the partner services offering the platform powers. It’s a different concept from monitoring.

DevOps 211

DevOps Innovation Cloud Programming 211

Dynatrace

JULY 30, 2021

Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. All it takes is putting two tags ( keptn_managed and keptn_service ) on the monitored Dynatrace service we want to enable a quality gate for. Last week we kicked it off with a three-hour virtual hands-on workshop.

Cloud 212

Cloud DevOps Azure Virtualization 212

Dynatrace

JANUARY 19, 2022

Teams can no longer effectively manage and secure today’s multicloud environments using traditional monitoring tools. While conventional monitoring scans the environment using correlation and statistics, it provides little contextual information for remediating performance or security issues. Modern observability vs. monitoring.

Artificial Intelligence 174

Artificial Intelligence DevOps Performance Games 174

Dynatrace

AUGUST 16, 2021

Part 1 of this series starts will cover the key ingredients needed for successful DevOps use to deliver better software faster, followed by a short overview of GitHub Actions and example use cases related to deployment and release monitoring. Component levels information events such as releases and configuration changes.

Software 246

Software Software Open Source Azure 246

Dynatrace

JUNE 1, 2023

As organizations digitally transform, they’re also accelerating the speed of software delivery. Serving as agreed-upon targets to meet service-level agreements (SLAs), SLOs can help organizations avoid downtime, improve software quality, and promote automation in the DevOps lifecycle. for the workout video playback feature.

Latency 171

Latency Website Traffic Virtualization 171

Dynatrace

DECEMBER 14, 2023

In today’s rapidly evolving business and technology landscape, organizations often prioritize the speed of development over security. Modern solutions like Snyk and Dynatrace offer a way to achieve the speed of modern innovation without sacrificing security. Bottom line : Continuous delivery needs continuous security.

AWS 255

AWS Innovation Speed Efficiency 255

Dynatrace

NOVEMBER 2, 2022

As a result, many organizations have turned to DevOps (the alignment of development and operations teams) and DevSecOps (the alignment of development, security and operations teams) methodologies to enable more efficient and high-quality software development. Teams can also identify issues for users through digital experience monitoring.

Software 189

Software Software Artificial Intelligence DevOps 189

Dynatrace

MAY 4, 2023

Moreover, the demand for rapid software delivery is putting additional stress on DevOps teams. Leveraging open source code and traditional monitoring tools can also increase the risk for vulnerabilities to enter the SDLC. Two factors play a role in this challenge: specificity and speed.

DevOps 206

DevOps Speed Innovation Open Source 206

Dynatrace

DECEMBER 15, 2022

The roles and responsibilities of ITOps team members include the following: A system administrator configures servers, installs applications, monitors the health of the system, and fixes and upgrades hardware. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. ITOps vs. DevOps and DevSecOps.

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

Dynatrace

JUNE 1, 2023

Measuring application performance is increasingly important because as organizations digitally transform, they’re also accelerating the speed of software delivery. In this post, I’ll lay out five SLO examples that every DevOps and SRE team should consider. The ultimate result is that customers enjoy an exceptional user experience.

Traffic 173

Traffic Latency Website Virtualization 173

Dynatrace

NOVEMBER 6, 2023

In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. DevOps, SREs, developers… everyone will ask questions. The DevOps people looking end-to-end. Why is developer observability important for engineers? Observability is about answering.”

Development 255

Development DevOps Programming Cloud 255

Dynatrace

JANUARY 31, 2024

Data observability involves monitoring and managing the internal state of data systems to gain insight into the data pipeline, understand how data evolves, and identify any issues that could compromise data integrity or reliability. This not only underscores the universal significance of data, it also hints at its pivotal role within DevOps.

DevOps 190

DevOps Analytics Airlines Metrics 190

Dynatrace

OCTOBER 19, 2023

Continuously monitoring your runtime environments for vulnerabilities will also reveal security issues that may have only shown themselves during production. DevSecOps automation DevSecOps automation is a fundamental practice that combines security with the speed and agility of DevOps. Download the free 2023 CISO Report.

Best Practices 202

Best Practices Benchmarking Speed Infrastructure 202

Dynatrace

JULY 16, 2021

The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. And it’s not just the release validation.

DevOps 243

DevOps Open Source Cloud Azure 243

Dynatrace

JULY 29, 2022

Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. Unfortunately, many organizations have dozens of siloed data collection and monitoring tools and teams. This is also known as root-cause analysis.

Analytics 208

Analytics Storage Retail Monitoring 208

Dynatrace

NOVEMBER 22, 2021

As organizations move workloads and software development to multicloud environments to operate more efficiently and flexibly, traditional monitoring tools often fall short. Its approach to serverless computing has transformed DevOps. DevOps/DevSecOps with AWS. Successful DevOps is as much about tactics as it is technology.

AWS 223

AWS Lambda Artificial Intelligence Serverless 223

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” This means data sources typically come from disparate infrastructure monitoring tools and second-generation APM solutions.

Artificial Intelligence 205

Artificial Intelligence DevOps Innovation Metrics 205

Dynatrace

NOVEMBER 9, 2022

This struggle may be because cloud modernization is a process, not a singular event—or a “lift and shift”—in which applications are ported to the cloud without being redesigned. IT operations teams need ways to monitor infrastructure, even if it’s not within their data centers and under their direct management. Successful?

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

APRIL 11, 2023

The focus on bringing various organizational teams together—such as development, business, and security teams — makes sense as observability data, security data, and business event data coalesce in these cloud-native environments. This includes collecting metrics, logs, and traces from all applications and infrastructure components.

Cloud 180

Cloud DevOps Open Source Retail 180

Dynatrace

JULY 29, 2022

Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. Unfortunately, many organizations have dozens of siloed data collection and monitoring tools and teams. This is also known as root-cause analysis.

Analytics 175

Analytics Storage Retail Monitoring 175

Dynatrace

FEBRUARY 4, 2021

.” As more organizations expand services via the cloud and demand for digital services increases, SRE practices are essential to meet up-time service level agreements, and to meet the continuous-integration/continuous-delivery (CI/CD) demands of DevOps and DevSecOps teams. SRE bridges the gap between Dev and Ops teams.

Engineering 250

Engineering DevOps Government Latency 250

Dynatrace

FEBRUARY 23, 2022

In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. That can be difficult when the business climate can prioritize speed.

Serverless 258

Serverless Infrastructure Innovation DevOps 258

Dynatrace

MAY 15, 2020

For Federal, State and Local agencies to take full advantage of the agility and responsiveness of a DevOps approach to the software lifecycle, Security must also play an integral role across lifecycle stages. Modern DevOps permits high velocity development cycles resulting in weekly, daily, or even hourly software releases.

Government 219

Government DevOps Infrastructure Network 219

Dynatrace

JULY 5, 2022

As organizations look to speed their digital transformation efforts, automating time-consuming, manual tasks is critical for IT teams. AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. Dynatrace news.

Artificial Intelligence 278

Artificial Intelligence Cloud Innovation Strategy 278

Dynatrace

OCTOBER 4, 2022

These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. Lining up traces, logs, and metrics based on user events and timestamps provides the most complete picture of full-stack dependencies.

Analytics 214

Analytics Storage Infrastructure Metrics 214

Dynatrace

FEBRUARY 12, 2024

Each use case provides its own unique value and impact, and whoever sees value in the use cases can adopt it—whether they are a platform engineer, DevOps engineer, performance engineer, or a site reliability engineer (SRE). And that’s where lifecycle events come in. Configuration as code is easy to use, update, and understand.

Engineering 176

Engineering Development Infrastructure Cloud 176

Dynatrace

OCTOBER 14, 2022

AI applies advanced analytics and logic-based techniques to interpret data and events, support and automate decisions, and even take intelligent actions. Why deterministic AIOps is essential for DevOps — and beyond. Artificial intelligence (AI) refers to a system’s ability to mimic human cognitive function. Enhanced visibility.

Artificial Intelligence 170

Artificial Intelligence DevOps Analytics Cloud 170

Dynatrace

FEBRUARY 28, 2024

Challenges to exploratory data analytics Among the challenges analysts face are multiple heterogeneous data sources, noisy or incomplete data, insufficient causal reasoning (faulty connections between event cause and effect), and untrustworthy AI , according to an article from the Columbia University Data Science Institute.

Analytics 203

Analytics Metrics Media Monitoring 203