Dynatrace

OCTOBER 16, 2023

While customers use observability platforms to identify issues in cloud environments, the next chapter of value is removing manual work from processes and building IT automation into their organizations. Organizations need to incorporate IT automation into their processes to take action on the data they gather. Greifeneder noted.

Innovation 200

Innovation DevOps Cloud Efficiency 200

Dynatrace

MARCH 9, 2023

As organizations mature on their digital transformation journey, they begin to realize that automation – specifically, DevOps automation – is critical for rapid software delivery and reliable applications. In turn, manual approaches to identifying code issues and troubleshooting are not scalable. This statistic is despite the $9.1

DevOps 235

DevOps Infrastructure Software Software 235

Dynatrace

DECEMBER 5, 2022

Organizations are increasingly adopting DevOps to stay competitive, innovate faster, and meet customer needs. By helping teams release new software more frequently, DevOps practices are an essential component of digital transformation. Thankfully, DevOps orchestration has evolved to address these problems.

DevOps 212

DevOps Virtualization Innovation Best Practices 212

Dynatrace

JUNE 6, 2023

Just as organizations have increasingly shifted from on-premises environments to those in the cloud, development and operations teams now work together in a DevOps framework rather than in silos. But as digital transformation persists, new inefficiencies are emerging and changing the future of DevOps.

DevOps 163

DevOps Engineering Innovation Best Practices 163

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. With higher demand for innovation, IT teams are working diligently to release high-quality software faster.

Engineering 247

Engineering DevOps Innovation Storage 247

Dynatrace

MARCH 28, 2024

AI and DevOps, of course The C suite is also betting on certain technology trends to drive the next chapter of digital transformation: artificial intelligence and DevOps. According to IDC, AI technology will be inserted into the processes and products of at least 90% of new enterprise apps by 2025.

C++ 187

C++ Artificial Intelligence DevOps Innovation 187

Dynatrace

JULY 12, 2022

IT automation speeds code development. Ultimately, better infrastructure management enables organizations like Park ‘N Fly to innovate through software. To do so, organizations often succumb to a “hamster wheel” of having to release code more quickly to innovate effectively.

Innovation 221

Innovation Infrastructure DevOps Azure 221

Dynatrace

APRIL 29, 2021

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. As Deloitte reports, continuous integration (CI) streamlines the process of internal software development.

DevOps 272

DevOps Logistics Code Software 272

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. Developers want to write high-quality code and deploy it quickly. Too many SLOs create complexity for DevOps. Limits of scripting for DevOps and SRE.

Open Source 190

Open Source DevOps Cloud Metrics 190

Dynatrace

FEBRUARY 24, 2021

Cloud-native environments bring speed and agility to software development and operations (DevOps) practices. So which is it: SRE vs DevOps, or SRE and DevOps? DevOps is focused on optimizing software development and delivery, and SRE is focused on operations processes. DevOps as a philosophy.

DevOps 189

DevOps Software Engineering Speed Google 189

Dynatrace

NOVEMBER 29, 2022

Infrastructure as code is a way to automate infrastructure provisioning and management. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. Infrastructure-as-code. But how does it work in practice? Cloud Automation use cases.

Infrastructure 174

Infrastructure Code Cloud DevOps 174

Dynatrace

NOVEMBER 18, 2020

DevOps seeks to accomplish smooth and efficient software creation, delivery, monitoring, and improvement by prioritizing agility and adaptability over rigid, stage-by-stage development. What is DevOps? As DevOps pioneer Patrick Debois first described it in 2009, DevOps is not a specific technology, but a tactical approach.

DevOps 207

DevOps Infrastructure Open Source C++ 207

Dynatrace

APRIL 22, 2024

Many organizations are turning to generative artificial intelligence and automation to free developers from manual, mundane tasks to focus on more business-critical initiatives and innovation projects. Continuous integration (CI) is a software development practice that streamlines the process of creating software within an organization.

Software 170

Software Software Artificial Intelligence Development 170

Dynatrace

SEPTEMBER 21, 2023

As organizations become cloud-native and their environments more complex, DevOps teams are adapting to new challenges. Today, the platform engineer role is gaining speed as the newest byproduct of scaling DevOps in the emerging but complex cloud-native world. What is this new discipline, and is it a game-changer or just hype?

Games 238

Games Engineering DevOps Education 238

Dynatrace

MAY 2, 2024

In fact, according to the recent Dynatrace survey, “ The state of AI 2024 ,” 95% of technology leaders are concerned that using generative AI to create code could result in data leakage and improper or illegal use of intellectual property. Learn how security improves DevOps. What is generative AI? Here’s what you need to know.

Artificial Intelligence 214

Artificial Intelligence Cloud Best Practices DevOps 214

Dynatrace

OCTOBER 10, 2023

Process Improvements (50%) The allocation for process improvements is devoted to automation and continuous improvement SREs help to ensure that systems are scalable, reliable, and efficient. This improves the current project and paves the way for future innovation. Streamlining the CI/CD process to ensure optimal efficiency.

Engineering 229

Engineering DevOps Innovation Strategy 229

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.” Ensure that you get the most out of your product.

Engineering 276

Engineering DevOps Best Practices Infrastructure 276

Dynatrace

DECEMBER 13, 2023

This year, they’ve been asked to do more with less, innovate faster, and tame the ever-increasing complexities of modern cloud environments. And a staggering 83% of respondents to a recent DevOps Digest survey have plans to adopt platform engineering or have already done so. No one will be around who fully understands the code.

Technology 205

Technology Technology Artificial Intelligence Analytics 205

Dynatrace

DECEMBER 14, 2023

Modern solutions like Snyk and Dynatrace offer a way to achieve the speed of modern innovation without sacrificing security. This innovative solution combines Snyk Container and Dynatrace observability data to provide comprehensive reporting—highlighting which running containers have undergone Snyk Container scans.

AWS 264

AWS Innovation Speed Efficiency 264

Dynatrace

MAY 4, 2023

But without intelligent automation, they’re running into siloed processes and reduced efficiency. 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.

DevOps 215

DevOps Speed Innovation Open Source 215

Dynatrace

JUNE 29, 2023

OSS is a faster, more collaborative, and more flexible way of driving software innovation than proprietary-only code. 1 Saves time and resources Open source can save time and resources, as developers don’t have to expend their own energies to produce code. These projects provide a range of proven benefits.

Open Source 186

Open Source Energy DevOps Innovation 186

Dynatrace

APRIL 11, 2023

For example, the open source Java library at the heart of the Log4Shell crisis in 2021 was patched within days given the pervasiveness of the code. How vulnerabilities are evaluated – platform module Learn the mechanism that Dynatrace Application Security uses to generate third-party vulnerabilities and code-level vulnerabilities.

Cloud 189

Cloud DevOps Open Source Retail 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. By automating workflows, teams throughout the organization can eliminate manual processes and improve outcomes. What is a data lakehouse?

Efficiency 278

Efficiency Performance Analytics DevOps 278

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. Teams face siloed processes and toolsets, vast volumes of data, and redundant manual tasks.

Performance 188

Performance DevOps Innovation Artificial Intelligence 188

Dynatrace

JUNE 26, 2023

This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. Automate DevOps pipelines to create better software faster to free up critical DevOps and IT time for new initiatives and innovation. Automate DevSecOps processes at scale.

Software 190

Software Software Analytics Big Data 190

Dynatrace

OCTOBER 17, 2019

And with today’s increasing financial, availability, performance and innovation requirements meaning applications need to be geographically dispersed to constantly changing dynamic powerhouses, it has become simply not possible to provision, update, monitor and decommissions them by only leveraging manual processes.

Code 109

Code Infrastructure DevOps Serverless 109

Dynatrace

MARCH 29, 2024

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. 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.

Artificial Intelligence 185

Artificial Intelligence DevOps Strategy Open Source 185

Dynatrace

SEPTEMBER 20, 2022

A DevSecOps approach advances the maturity of DevOps practices by incorporating security considerations into every stage of the process, from development to deployment. DevSecOps practices build on DevOps, ensuring that security concerns are top of mind as developers build code. Release validation. Cultural issues.

Best Practices 264

Best Practices DevOps Education Serverless 264

Dynatrace

JUNE 28, 2022

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. DevOps best practices include testing within the CI/CD pipeline, also known as shift-left testing.

Monitoring 203

Monitoring Software Software DevOps 203

Dynatrace

FEBRUARY 21, 2024

Organizations can customize quality gate criteria to validate technical service-level objectives (SLOs) and business goals, ensuring early detection and resolution of code deficiencies. Ultimately, quality gates safeguard code viability as it advances through the delivery pipeline. But how do they function in practice?

Speed 209

Speed Software Software Latency 209

Dynatrace

APRIL 6, 2022

Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. Not just infrastructure connections, but the relationships and dependencies between containers, microservices , and code at all network layers. Dynatrace news.

DevOps 233

DevOps Innovation Infrastructure Analytics 233

Dynatrace

FEBRUARY 16, 2023

The goal is to turn more data into insights so the whole organization can make data-driven decisions and automate processes. Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity.

Analytics 188

Analytics Innovation Metrics Database 188

Dynatrace

FEBRUARY 23, 2022

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. Increased adoption of Infrastructure as code (IaC). Dynatrace news.

Serverless 267

Serverless Infrastructure Innovation DevOps 267

Dynatrace

JULY 25, 2022

The DevOps playbook has proven its value for many organizations by improving software development agility, efficiency, and speed. This method known as GitOps would also boost the speed and efficiency of practicing DevOps organizations. Development teams use GitOps to specify their infrastructure requirements in code.

DevOps 227

DevOps Infrastructure Speed Cloud 227

Dynatrace

FEBRUARY 28, 2024

Validation stage overview The validation stage is a crucial step in the CI/CD (Continuous Integration/Continuous Deployment) process. These prolonged processes not only strain resources but also introduce delays within the CI/CD pipeline, hampering the timely release of new features to end-users.

DevOps 205

DevOps Metrics Engineering Analytics 205

Dynatrace

JUNE 13, 2022

But with this speed, agility, and innovation come new challenges. Open source code, for example, has generated new threat vectors for attackers to exploit. Considering open source software (OSS) libraries now account for more than 70% of most applications’ code base, this threat is not going anywhere anytime soon.

Open Source 224

Open Source DevOps Java Innovation 224

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. This can become a complicated step if the application or code is complex.

DevOps 211

DevOps Benchmarking Cloud Monitoring 211