Dynatrace

FEBRUARY 21, 2024

This approach supports innovation, ambitious SLOs, DevOps scalability, and competitiveness. In the context of Easytravel, one can measure the speed at which a specific page of the application responds after a user clicks on it. How to use quality gates to deliver better software at speed and scale appeared first on Dynatrace news.

Speed 200

Speed Software Software Latency 200

Dynatrace

APRIL 18, 2022

When it comes to site reliability engineering (SRE) initiatives adopting DevOps practices, developers and operations teams frequently find themselves at odds with one another. Too many SLOs create complexity for DevOps. Developers also need to automate the release process to speed up deployment and reliability. Dynatrace news.

Open Source 180

Open Source DevOps Cloud Metrics 180

Dynatrace

APRIL 21, 2023

Kailey Smith, application architect on the DevOps team for Minnesota IT Services (MNIT), discussed her experience with an outage that left her and her peers to play defense and fight fires. It helps our DevOps team respond and resolve systems’ problems faster,” Smith said. Dynatrace truly helps us do more with less.

Innovation 176

Innovation Speed Artificial Intelligence Government 176

Dynatrace

JUNE 20, 2022

In response, organizations have adopted additional security tools, such as software composition analysis, that scan code libraries for vulnerabilities. To handle the increasing complexity of open source software, software composition analysis (SCA) has become an important tool. What is software composition analysis?

Open Source 210

Open Source Software Software Code 210

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost. See how Dynatrace Log Management and Analytics enables any analysis at any time with Grail technology. Learn more.

Efficiency 268

Efficiency Performance Analytics DevOps 268

Dynatrace

APRIL 19, 2023

Over a quarter of respondents (26%) expect it to continue to speed up in the future. Difficult tradeoffs lead to speed, quality, and security issues The rate of digital transformation is increasing across the sector in line with customer demand for more connected experiences. 41% of respondents in financial services agree.

Innovation 195

Innovation DevOps Strategy Speed 195

Dynatrace

MAY 18, 2023

Additionally, nearly one quarter (24%) expect it to continue to speed up in the future. Weighing speed, quality, and security tradeoffs In addition to myriad benefits, digital transformation has brought complexities. CIOs in the software sector report their critical applications are now changing at a rapid rate.

Software 158

Software Software DevOps Innovation 158

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. CloudOps: Applying AIOps to multicloud operations.

DevOps 189

DevOps Artificial Intelligence Healthcare Innovation 189

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. By taking human analysis out of the equation, a process that might take hours or even days can become one that takes minutes or less.”

Engineering 239

Engineering DevOps Innovation Storage 239

Dynatrace

JULY 13, 2021

With the increasing adoption of agile software development, DevOps , progressive continuous delivery, and Site Reliability Engineering (SRE) practices, many companies are aiming to deliver better software faster and more safely while keeping up with customer demands. Shift left your SRE practices. How the evaluation works. What’s next.

Cloud 237

Cloud DevOps Benchmarking Speed 237

Dynatrace

MARCH 29, 2024

The most likely beneficiaries of generative AI The top three areas most likely to benefit from generative AI are IT operations (72%), cybersecurity (47%), and application development or DevOps (30%). And for DevOps, it means accelerating DevOps processes, improving agility, and speeding time to market.

Artificial Intelligence 176

Artificial Intelligence DevOps Strategy Open Source 176

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. Dynatrace news. And it’s not just the release validation.

DevOps 242

DevOps Open Source Cloud Azure 242

Dynatrace

MAY 31, 2023

Uptime Institute’s 2022 Outage Analysis report found that over 60% of system outages resulted in at least $100,000 in total losses, up from 39% in 2019. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed.

Best Practices 216

Best Practices DevOps Latency Metrics 216

Dynatrace

APRIL 6, 2022

DevOps teams can also benefit from full-stack observability. With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting. How full-stack observability enhances IT and DevOps. Here are a few ways full-stack observability can benefit your IT and DevOps teams. Watch webinar now!

DevOps 225

DevOps Innovation Infrastructure Analytics 225

Dynatrace

DECEMBER 15, 2022

This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. ITOps vs. DevOps and DevSecOps. DevOps works in conjunction with IT. Organizations are also increasingly integrating application security into their DevOps teams and processes — also known as DevSecOps. Reliability.

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

Dynatrace

OCTOBER 25, 2022

NoOps, or “no operations,” emerged as a concept alongside DevOps and the push to automate the CI/CD pipelines as early as 2010. For most teams, evolving their DevOps practices has been challenging enough. DevOps requires infrastructure experts and software experts to work hand in hand. Evolution of modern AIOps.

DevOps 210

DevOps Big Data Cloud Innovation 210

Dynatrace

MAY 9, 2023

21% expect it to continue to speed up in the future. The DevSecOps balancing act: speed, quality, and security Retailers are seeking to drive faster transformation to delight customers. In the fast-paced retail sector, teams require contextual analysis to quickly determine issues and then prioritize remediation and resolution.

Retail 175

Retail Innovation DevOps Speed 175

Dynatrace

OCTOBER 19, 2023

DevSecOps automation DevSecOps automation is a fundamental practice that combines security with the speed and agility of DevOps. This approach helps organizations deliver more secure software and infrastructure with greater efficiency and speed.

Best Practices 202

Best Practices Benchmarking Speed Infrastructure 202

Dynatrace

APRIL 19, 2021

Dynatrace scored highest across 4 of 5 use cases, DevOps/AppDev, SRE/CloudOps, IT Operations, and Digital Experience Monitoring, and second highest in the Application Owner/Line of Business use case. We anticipated the industry’s move to dynamic multicloud environments and DevOps processes. We are grateful for this recognition.

DevOps 256

DevOps Innovation Speed Infrastructure 256

Scalegrid

DECEMBER 21, 2023

This Command Line Interface (CLI) can be used for basic activity metrics and offers powerful real-time data analysis tools, giving you more control over the performance of your servers. Command-Line Analysis Commanding the Redis CLI efficiently requires knowledge of every command’s function and how to decipher its output.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

MAY 4, 2023

Moreover, the demand for rapid software delivery is putting additional stress on DevOps teams. Overall, 36% of respondents agreed that the silos among DevOps and security teams leads to a resistance to collaboration. Two factors play a role in this challenge: specificity and speed. Even more worrisome?

DevOps 205

DevOps Speed Innovation Open Source 205

Dynatrace

SEPTEMBER 20, 2022

This approach enables teams to focus on speed and agility in software development without compromising security. A DevSecOps approach advances the maturity of DevOps practices by incorporating security considerations into every stage of the process, from development to deployment. The education of employees about security awareness.

Best Practices 255

Best Practices DevOps Education Serverless 255

Dynatrace

JANUARY 31, 2024

The rise of data observability in DevOps Data forms the foundation of decision-making processes in companies across the globe. This not only underscores the universal significance of data, it also hints at its pivotal role within DevOps.

DevOps 189

DevOps Analytics Airlines Metrics 189

Dynatrace

NOVEMBER 9, 2021

Data from all these sources is collected and analyzed by Dynatrace’s AI engine, Davis, that’s built into the core of the platform (not bolted on) to drive intelligent and definitive problem identification and root-cause analysis. Figure 4 How Dynatrace enriches metrics, traces, and logs to identify problems with precise root cause analysis.

DevOps 210

DevOps Innovation Cloud Programming 210

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 176

Cloud DevOps Strategy Monitoring 176

Dynatrace

JULY 30, 2021

Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. For easy access to all configuration files relevant for Dynatrace Cloud Automation, we start by setting an upstream git to our own GitHub, GitLab, Bitbucket, Azure DevOps, or any other git compliant version control system.

Cloud 212

Cloud DevOps Azure Virtualization 212

Dynatrace

OCTOBER 14, 2022

In a machine learning model, a statistical analysis of current metrics, events, and alerts helps build a multidimensional model of a system to provide possible explanations for observed behavior. Causality techniques are then used to derive the right context for analysis. Why deterministic AIOps is essential for DevOps — and beyond.

Artificial Intelligence 169

Artificial Intelligence DevOps Analytics Cloud 169

Dynatrace

AUGUST 5, 2022

Organizations are also finding that these security tools are not up to par with the increasing speed of software delivery. Building on DevOps culture and practices, it integrates security into every step of the software development lifecycle (SDLC). DevSecOps automation and the importance of observability.

DevOps 200

DevOps Cloud Best Practices Open Source 200

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. The five elements of digital immunity.

Software 188

Software Software Artificial Intelligence DevOps 188

Dynatrace

OCTOBER 14, 2021

Here, we’ll discuss the AIOps landscape as it stands today and present an alternative approach that truly integrates artificial intelligence into the DevOps process. Disparate interfaces still require manual intervention and analysis, and in this way, traditional AIOps solutions have essentially become event monitoring tools.

Artificial Intelligence 205

Artificial Intelligence DevOps Innovation Metrics 205

Dynatrace

JANUARY 21, 2022

A modern approach to vulnerability management uses runtime analysis and contextual intelligence to automatically identify threats and prioritize them —using AI and automation to scale across large complex multicloud environments. Real-time analysis of dependencies to enable automatic risk scoring.

Strategy 214

Strategy Cloud DevOps Open Source 214

Dynatrace

FEBRUARY 10, 2021

Software companies who have already been following and adopting DevOps and site reliability engineering (SRE) practices alongside their shared ancestry in agile concepts came out on top – especially if they adopted those practices across the whole organization and customer value stream.

Cloud 162

Cloud DevOps Speed Metrics 162

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

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 257

Serverless Infrastructure Innovation DevOps 257

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. “Logging” is the practice of generating and storing logs for later analysis. Dynatrace news. billion in 2020 to $4.1 What is log monitoring?

Analytics 202

Analytics Monitoring Artificial Intelligence DevOps 202

Dynatrace

JULY 29, 2022

This is also known as root-cause analysis. Peak performance analysis. As development and site reliability engineering (SRE) teams strive to release software faster, log analytics can provide key insight into software quality as part of a broader DevOps observability and automation initiative. Poor root-cause analysis.

Analytics 207

Analytics Storage Retail Monitoring 207

Dynatrace

NOVEMBER 22, 2021

Its approach to serverless computing has transformed DevOps. The following resources demonstrate how Dynatrace’s causation-based AI is changing the game for AIOps to bring real-time root-cause analysis to your AWS environment and beyond.?. DevOps/DevSecOps with AWS. Successful DevOps is as much about tactics as it is technology.

AWS 222

AWS Lambda Artificial Intelligence Serverless 222