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. Unified observability and security in the development process are crucial to defining ownership in the development process.

Engineering 242

Engineering DevOps Innovation Storage 242

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. 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.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

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. IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost. Learn more.

Efficiency 272

Efficiency Performance Analytics DevOps 272

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. Cloud-native is the preferred way of delivering applications.

Cloud 179

Cloud DevOps Strategy Monitoring 179

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.

Software 192

Software Software Artificial Intelligence DevOps 192

Dynatrace

AUGUST 29, 2022

Release validation is a critical DevOps practice to help ensure that code released into production is successful. DevOps practices have become key for organizations looking to scale, stay competitive, and keep up with customer demand. Monitor post-release validation: Validation monitoring is not yet finished, even after fixes.

DevOps 205

DevOps Benchmarking Cloud Monitoring 205

Dynatrace

MAY 4, 2023

Moreover, the demand for rapid software delivery is putting additional stress on DevOps teams. In response to these industry shifts, more organizations are integrating security earlier in the software development lifecycle. Security teams are stretched thin, and development and operations teams aren’t far behind.

DevOps 209

DevOps Speed Innovation Open Source 209

Dynatrace

MAY 31, 2023

The practice uses continuous monitoring and high levels of automation in close collaboration with agile development teams to ensure applications are highly available and perform without friction. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed.

Best Practices 219

Best Practices DevOps Latency Metrics 219

Dynatrace

DECEMBER 15, 2022

We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. Computer operations manages the physical location of the servers — cooling, electricity, and backups — and monitors and responds to alerts. ITOps vs. DevOps and DevSecOps. What is ITOps?

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

Dynatrace

SEPTEMBER 20, 2022

DevSecOps brings development, operations, and security teams together in the software development lifecycle (SDLC). This approach enables teams to focus on speed and agility in software development without compromising security. What is DevSecOps and what is a DevSecOps maturity model?

Best Practices 258

Best Practices DevOps Education Serverless 258

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. As organizations develop new applications, vulnerabilities will continue to emerge.

Cloud 183

Cloud DevOps Open Source Retail 183

Dynatrace

OCTOBER 19, 2023

By incorporating automated vulnerability scans within the software development lifecycle (SDLC), developers can expedite the release of innovative software features. This eliminates the additional burden of manual vulnerability scans, enabling teams to identify and address vulnerabilities during the development phase.

Best Practices 205

Best Practices Benchmarking Speed Infrastructure 205

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater.

Monitoring 196

Monitoring Serverless Programming Speed 196

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater.

Monitoring 195

Monitoring Serverless Programming Speed 195

Dynatrace

JUNE 13, 2022

They can develop software applications rapidly and gain access to extensible cloud resources without having to sink costs into IT plumbing or managing this infrastructure themselves. But with this speed, agility, and innovation come new challenges. Cloud operations and observability boost resilience for American Family – blog.

Open Source 218

Open Source DevOps Java Innovation 218

Dynatrace

AUGUST 5, 2022

Organizations are also finding that these security tools are not up to par with the increasing speed of software delivery. DevSecOps is a methodology that brings development, security and operations teams closer together to ensure high-quality, secure application code. DevSecOps is short for development, security, and operations.

DevOps 203

DevOps Cloud Best Practices Open Source 203

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 244

DevOps Open Source Cloud Azure 244

Dynatrace

JUNE 26, 2023

Software automation enables digital supply chain stakeholders — such as digital operations, DevSecOps, ITOps, and CloudOps teams — to orchestrate resources across the software development lifecycle to bring innovative, high-quality products and services to market faster. Applications and microservices monitoring.

Software 184

Software Software Analytics Big Data 184

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. Adding to the complexity are containers–tools for cloud development—which can be ephemeral. Learn more here. What is AWS Lambda? What is AWS Lambda?

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

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 252

Engineering DevOps Government Latency 252

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. 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.

Analytics 211

Analytics Storage Retail Monitoring 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. Hands-on 4: Integrate into your existing DevOps automation.

Cloud 213

Cloud DevOps Azure Virtualization 213

Official Blog - World Web Technology

DECEMBER 4, 2023

You cannot leave SDLC unnoticed when you are into software development. How does it contribute to the software development process ? This article will explain why most companies and their software developers use SDLC to manage their development process. SDLC means Software Development Life Cycle. What is SDLC?

Processing 64

Processing Software Software Development 64

Dynatrace

MAY 8, 2023

With the world’s increased reliance on digital services and the organizational pressure on IT teams to innovate faster, the need for DevOps monitoring tools has grown exponentially. But when and how does DevOps monitoring fit into the process? And how do DevOps monitoring tools help teams achieve DevOps efficiency?

DevOps 216

DevOps Efficiency Monitoring Infrastructure 216

Dynatrace

NOVEMBER 9, 2022

Developing a cloud application migration strategy . IT operations teams need ways to monitor infrastructure, even if it’s not within their data centers and under their direct management. Plan, execute, and monitor your cloud migration for sustained success – eBook . Optimizing DevOps with cloud automation .

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. 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.

Analytics 178

Analytics Storage Retail Monitoring 178

Dynatrace

AUGUST 9, 2019

The faster your team promotes the source code from one environment to the next (development > quality assurance > production), the faster your organization delivers business value to its customers. Innovators assign issues to developers much faster. So, what separates the innovators from the laggards? The risk is smaller, too.

Speed 115

Speed Innovation DevOps Cloud 115

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. Developing a shared language of service level objectives (SLOs). 2 Confidence: .

Software 246

Software Software Open Source Azure 246

Dynatrace

APRIL 28, 2020

Gartner just released its latest Magic Quadrant for Application Performance Monitoring (APM) , and a separate Critical Capabilities for APM report. Gartner, Magic Quadrant for Application Performance Monitoring, Charley Rich, Federico De Silva, 22 April 2020. Dynatrace news. Before 2015, Dynatrace was listed as Compuware.

DevOps 240

DevOps Innovation Monitoring Analytics 240

Dynatrace

JUNE 13, 2022

Our focus on delivering precise answers and intelligent automation from the enormous amount of data that emanates from these environments has enabled our customers to do their clouds right, minimizing cloud complexity, accelerating adoption of cloud-native technologies, and speeding digital transformation.”. Everything is automated.

Innovation 198

Innovation Cloud Open Source Monitoring 198

Dynatrace

OCTOBER 14, 2022

Machine learning applications may be developed standalone, but they’re often part of larger AI systems. Machine learning algorithms make it possible for AI tools to develop their intelligence over time and improve the reliability of their outcomes. Why deterministic AIOps is essential for DevOps — and beyond.

Artificial Intelligence 172

Artificial Intelligence DevOps Analytics Cloud 172

Dynatrace

FEBRUARY 2, 2022

This demand creates an increasing need for DevOps teams to maintain the performance and reliability of critical business applications. As such, it’s important when creating your SLOs to avoid these common mistakes that can cause more headaches for your DevOps teams. Dynatrace news. Today, online services require near 100% uptime.

DevOps 192

DevOps Metrics Best Practices Latency 192

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 173

Engineering DevOps Government Latency 173

Dynatrace

FEBRUARY 6, 2020

Autonomous Cloud is what enables our globally distributed development teams at Dynatrace to deliver better software faster following our NoOps approach: Fully Autonomous and as a Self-Service! Three waves of DevOps leading to Autonomous Cloud. DevOps Transformation at Dynatrace enacted live on stage at Perform 2017!

Cloud 184

Cloud DevOps Engineering Speed 184

Dynatrace

SEPTEMBER 29, 2021

Part one also provided an overview of Dynatrace’s Cloud Automation solution, Microsoft’s GitHub Actions , and open-source examples you can use and extend related to deployment and release monitoring. Example #3 – Automate Monitoring configuration as code. Monitoring as Code workflow example. Blog series use cases.

Software 197

Software Software Open Source DevOps 197

Dynatrace

JULY 29, 2022

And as organizations hasten software development cycles to remain competitive, security vulnerabilities can make their way into live applications, because developers simply don’t have time to find and fix them. Further, the pace of software development can also make it difficult for companies to remediate events.

Software 186

Software Software Open Source DevOps 186

Dynatrace

OCTOBER 28, 2021

As software performance degrades or fails, the chaos engineers’ findings enable developers to add resiliency into the code, so the application remains intact in an emergency. The discoveries form inputs into the software development and delivery process, so new software and microservices will better stand up to unforeseeable events.

Engineering 221

Engineering Entertainment Cloud Infrastructure 221