Dynatrace

JANUARY 31, 2022

The DevOps approach to developing software aims to speed applications into production by releasing small builds frequently as code evolves. As part of the continuous cycle of progressive delivery, DevOps teams are also adopting shift-left and shift-right principles to ensure software quality in these dynamic environments.

DevOps 198

DevOps Testing Monitoring Speed 198

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 266

DevOps Logistics Code Software 266

Dynatrace

MAY 3, 2021

Many organizations realize their DevOps tools and practices do not sufficiently account for security. This is known as “security as code” — the constant implementation of systematic and widely communicated security practices throughout the entire software development life cycle. The security challenges of DevOps.

Code 156

Code DevOps Speed Government 156

Dynatrace

DECEMBER 12, 2023

However, most organizations are still in relatively uncharted territory with their AI adoption strategies. For example, nearly two-thirds (61%) of technology leaders say they will increase investment in AI over the next 12 months to speed software development. This means greater productivity for individual teams.

Artificial Intelligence 203

Artificial Intelligence DevOps Analytics Strategy 203

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 179

Artificial Intelligence DevOps Strategy Open Source 179

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. Everything as code: GitOps as the standard Observability as code is used to programmatically define observability and security.

Engineering 242

Engineering DevOps Innovation Storage 242

Dynatrace

APRIL 19, 2023

It is also central to helping leaders develop best-practice strategies to attract and retain new customers. Over a quarter of respondents (26%) expect it to continue to speed up in the future. Further, over a third of IT leaders (35% in banking, and 41% in financial services) confirm they are forced to sacrifice code security.

Innovation 198

Innovation DevOps Strategy Speed 198

Dynatrace

FEBRUARY 10, 2023

Further, automation has become a core strategy as organizations migrate to and operate in the cloud. More than 70% of respondents to a recent McKinsey survey now consider IT automation to be a strategic component of their digital transformation strategies. DevOps metrics and digital experience data are critical to this.

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

NOVEMBER 9, 2022

Developing a cloud application migration strategy . For IT teams seeking agility, cost savings, and a faster on-ramp to innovation, a cloud migration strategy is critical. See how to use Dynatrace in your cloud migration strategy. How to pick an application modernization strategy – blog . Successful?

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

FEBRUARY 15, 2023

Powered by Grail and the Dynatrace AutomationEngine , Site Reliability Guardian helps DevOps platform teams make better-informed release decisions by utilizing all the contextual observability and application security insights of the Dynatrace platform. This includes executing tests, running Dynatrace Synthetic checks, or creating tickets.

DevOps 215

DevOps Latency Traffic Best Practices 215

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. Causal AI is critical to feed quality data inputs to the algorithms that underpin generative AI.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

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 205

DevOps Benchmarking Cloud Monitoring 205

Dynatrace

JUNE 26, 2023

Automate DevOps pipelines to create better software faster to free up critical DevOps and IT time for new initiatives and innovation. Consider how AI-enabled chatbots such as ChatGPT and Google Bard help DevOps teams write code snippets or resolve problems in custom code without time-consuming human intervention.

Software 184

Software Software Analytics Big Data 184

Dynatrace

AUGUST 7, 2023

Developers use generative AI to find errors in code and automatically document their code. They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. Learn how security improves DevOps. DevOps vs DevSecOps: Why integrate security and DevOps?

DevOps 182

DevOps Analytics Best Practices Java 182

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 183

Cloud DevOps Open Source Retail 183

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 218

Open Source DevOps Java Innovation 218

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. DevOps: Applying AIOps to development environments. DevOps can benefit from AIOps with support for more capable build-and-deploy pipelines.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

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. Example #1 – Deploy application code to Kubernetes. 2 Confidence: .

Software 246

Software Software Open Source Azure 246

Dynatrace

NOVEMBER 22, 2021

Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. Its approach to serverless computing has transformed DevOps. With AIOps , practitioners can apply automation to IT operations processes to get to the heart of problems in their infrastructure, applications and code.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

SEPTEMBER 12, 2022

With a strategy and execution score of 4.73 The highest score in strategy was attributed to Dynatrace’s focus on self-healing and proactive automation. PurePath automatically analyzes transactions from browsers all the way down to the code and database levels. Why is Dynatrace ahead of the pack? What is trending in AIOps?

Strategy 130

Strategy DevOps Analytics Cloud 130

Testsigma

MARCH 23, 2022

Low-code/no-code tools are already becoming a mainstay for many global teams. By going no-code/low-code, teams can now fill in the gap between the accelerating demands of application delivery and team skill sets. No-code/Low-code testing tools helping Agile Teams. credits: me. credits: me.

Testing Tools 52

Testing Tools Code Testing Speed 52

Dynatrace

JULY 29, 2022

A software supply chain attack requires only one compromised application or piece of code to affect the entire supply chain. Attacks often target weaknesses in application source code, which can compromise a trusted application or software system. Learn more about how Dynatrace can help your organization with its DevSecOps strategy.

Software 186

Software Software Open Source DevOps 186

Dynatrace

FEBRUARY 6, 2020

Three waves of DevOps leading to Autonomous Cloud. At Dynatrace, we have been very proud and vocal about our own DevOps transformation story that we started when we incubated what is now known as the Dynatrace Software Intelligence Platform (formerly Ruxit). DevOps Transformation at Dynatrace enacted live on stage at Perform 2017!

Cloud 184

Cloud DevOps Engineering Speed 184

Dynatrace

JUNE 1, 2022

Further, software development in multicloud environments introduces multiple coding languages and third-party libraries. As a result, these code sources compound opportunities for vulnerabilities to enter the software development lifecycle (SDLC). DevSecOps key to mature vulnerability management strategy.

Artificial Intelligence 177

Artificial Intelligence Java Strategy Cloud 177

Dynatrace

SEPTEMBER 12, 2019

So, we jumped on that need to transform our own development and product monitoring strategy in order to embrace these new environments and maintain and expand the company’s market leadership. Dynatrace embraced a “shift-left“ strategy and built automated quality gates for feedback at each step in the dev cycle.

Games 159

Games Cloud Best Practices Innovation 159

Dynatrace

MAY 23, 2022

Above all, companies modernize and adopt a multicloud strategy to innovate, scale, and increase efficiency. Software intelligence as code enables tailored observability, AIOps, and application security at scale – blog. AIOps strategy central to proactive multicloud managemen t – blog.

Strategy 221

Strategy Innovation Cloud Serverless 221

Dynatrace

NOVEMBER 29, 2021

OpenShift, DevOps, and CI/CD. The emergence of DevOps and continuous integration (CI) and continuous development (CD) pipelines has fundamentally changed the nature of software design, development, and deployment. Enhances DevOps productivity. Speeds up development. How OpenShift enhances Kubernetes.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Dynatrace

OCTOBER 8, 2020

This means, you don’t need to change even a single line of code in the serverless functions themselves. Serverless functions extend applications to accelerate speed of innovation. Why you need end-to-end observability for your AWS Lambda functions. Serverless functions and services are highly dynamic and ephemeral.

Lambda 291

Lambda AWS Programming Serverless 291

Dynatrace

AUGUST 29, 2019

It feels like just yesterday DevOps was all the rage, and everything had to be “Cloud” in order to be modern. These days, most organizations have embraced the benefits of DevOps and are running one or more of their applications on somebody else’s computer. Dynatrace news. Where to next?

Cloud 135

Cloud DevOps Strategy Monitoring 135

Dynatrace

DECEMBER 8, 2020

In our increasingly digital world, the speed of innovation is key to business success. Teams are embracing new technologies and continuously deploying code. As a result, e xisting application security approaches can’t keep up with this speed and vari ability of modern development processes. . Dynatrace news.

Cloud 287

Cloud Open Source Internet Internet 287

IO River

NOVEMBER 2, 2023

‍Before we dive into what Terraform is, let's begin with a real-world example of how Terraform code looks and works:‍# Challenge requests coming from known Tor exit nodes.‍‍In It enables DevOps teams to manage, configure, and automate infrastructure in a streamlined fashion. ‍Why Manage Infrastructure by Code?‍‍If

Open Source 52

Open Source DevOps AWS Azure 52

Dynatrace

SEPTEMBER 13, 2023

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy.

AWS 243

AWS Efficiency Azure Cloud 243

Dynatrace

MARCH 28, 2022

Security blind spots pose a significant threat to an effective DevSecOps strategy and leave organizations vulnerable to attack—in some cases when applications are already live. To be effective, Berger argues, modern application security requires speed and precision. Three key runtime security questions for DevSecOps.

Strategy 179

Strategy Cloud Speed Network 179

Dotcom-Montior

MAY 21, 2020

Well, there are many DevOps and monitoring tools available in the market today, and we’ll talk about two of the most widely used – synthetic monitoring and APM stack trace tools. Is my website speed good? APM stack trace tools provide useful information to developers and DevOps teams about internal infrastructure and code.

Monitoring 94

Monitoring DevOps Infrastructure Network 94

Testsigma

APRIL 4, 2022

Here are some of the possible quality attributes: Reliability Speed Usability Scalability Maintainability Testability Documentability Trainability Functionality Supportability. Any fool can write code that a computer can understand. Good programmers write code that humans can understand.”. Martin Fowler. Test Automation !=

Testing 95

Testing Open Source IoT Programming 95

Abhishek Tiwari

JULY 22, 2023

However, amidst the drive for speed, ensuring policy compliance is often overlooked, leading to potential security vulnerabilities and compliance risks. Pre-deployment policy compliance, supported by policy as code frameworks such as Sentinel, Open Policy Agent (OPA), Conftest, etc. Checkov: Checkov is a static code analysis tool.

AWS 52

AWS Best Practices Infrastructure Traffic 52

Tasktop

AUGUST 12, 2022

A good integration strategy drives flow . Time wasted on duplicate data entry in multiple Agile and DevOps tools . One-way event-triggered integrations from DevOps tools like GitHub to Jira . The most important aspect to consider when creating your integration strategy is the method of integration.

Software 52

Software Software DevOps Strategy 52