Dynatrace

SEPTEMBER 28, 2021

You have set up a DevOps practice. As we look at today’s applications, microservices, and DevOps teams, we see leaders are tasked with supporting complex distributed applications using new technologies spread across systems in multiple locations. DevOps metrics to help you meet your DevOps goals. Dynatrace news.

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DevOps Metrics Traffic Efficiency 206

Dynatrace

DECEMBER 6, 2022

DevOps and site reliability engineering (SRE) teams aim to deliver software faster and with higher quality. What these steps have in common is that monitoring tools are not in sync with new changes in code or topology and this observability data is often siloed within different tools and teams. The role of observability within DevOps.

DevOps 224

DevOps Metrics Engineering Speed 224

Dynatrace

MARCH 17, 2021

Hops and DevOps; an unlikely pairing, but one that turns out to go very well together! Dynatrace hosted another tasting event for our community, which included some craft beers from a local brewery and the very hot topic of DevOps – one that has been omnipotent in the IT industry almost since its inception in 2009. Dynatrace news.

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DevOps Media Metrics Technology 195

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. When they check in their code, the build management system automatically creates a build and tests it.

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DevOps Logistics Code Software 275

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.

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DevOps Testing Monitoring Speed 202

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.

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DevOps Testing Monitoring Speed 207

Dynatrace

APRIL 30, 2021

Many organizations that have integrated their software development and operations into DevOps practices struggle with efficiency because they’re juggling disparate DevOps tools, or their tools aren’t meeting their needs. The status quo of the DevOps toolchain. How to approach transforming your DevOps processes.

DevOps 219

DevOps Speed Efficiency Engineering 219

Dynatrace

JUNE 10, 2022

The IT world is rife with jargon — and “as code” is no exception. “As code” means simplifying complex and time-consuming tasks by automating some, or all, of their processes. Today, the composable nature of code enables skilled IT teams to create and customize automated solutions capable of improving efficiency.

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Best Practices Infrastructure Code Speed 214

Dynatrace

FEBRUARY 9, 2022

To accomplish this, organizations have widely adopted DevOps , which encompasses significant changes to team culture, operations, and the tools used throughout the continuous development lifecycle. Key components of GitOps are declarative infrastructure as code, orchestration, and observability.

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Code Software Software DevOps 222

Dynatrace

DECEMBER 16, 2021

Service-level objectives (SLOs) are a great tool to align business goals with the technical goals that drive DevOps (Speed of Delivery) and Site Reliability Engineering (SRE) (Ensuring Production Resiliency). Below is an example of such a simple dashboard. Mobile app rating is a good example of Objective Driven Development.

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DevOps Social Media Mobile Metrics 210

Dynatrace

NOVEMBER 1, 2022

To effectively and efficiently get mobile apps out the door, monitor their performance, and manage subsequent releases, mobile DevOps practitioners can play an integral role. DevOps tasks become significantly more manageable with an all-in-one platform that offers automated instrumentation and AI capabilities out of the box.

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Mobile DevOps Monitoring Traffic 130

The Netflix TechBlog

AUGUST 22, 2019

Artisan Crafted Images In the Netflix full cycle DevOps culture the team responsible for building a service is also responsible for deploying, testing, infrastructure, and operation of that service. We now have the software and instance configuration as code. This means changes can be tracked and reviewed like any other code change.

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DevOps AWS Tuning Infrastructure 207

Dynatrace

MARCH 28, 2024

According to Markets and Markets, for example, the digital transformation market is projected to grow at a compound annual growth rate of 19.1%, from $521.5 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.

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C++ Artificial Intelligence DevOps Innovation 190

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. As a result, teams can focus on writing code and building features rather than dealing with infrastructure nuances.

Engineering 246

Engineering Development DevOps Infrastructure 246

Dynatrace

MAY 17, 2023

This is one example of the many use cases we’re exploring. For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries. It highlights the potential of GPT technology to drive “information democracy” even further.

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Innovation Software Software Artificial Intelligence 265

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.

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Engineering DevOps Innovation Storage 250

Dynatrace

DECEMBER 12, 2023

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. For example, 73% of technology leaders are investing in AI to generate insight from observability, security, and business events data.

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Artificial Intelligence DevOps Analytics Strategy 211

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. But developers need code-level visibility and code-level data.”

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Development DevOps Programming Cloud 267

O'Reilly

OCTOBER 19, 2021

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments. Why: Data Makes It Different.

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DevOps Software Engineering Infrastructure Open Source 137

Dynatrace

OCTOBER 24, 2019

Davis has the unique ability to precisely identify code-level findings, such as resource consumption during the span of an individual transaction. Why code-level context is important. Without such detailed information, it simply isn’t possible to identify the real code-level cause of a software problem.

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Code DevOps Infrastructure Processing 119

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?

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Speed Software Software Latency 212

Dynatrace

DECEMBER 13, 2023

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. No one will be around who fully understands the code.

Technology 208

Technology Technology Artificial Intelligence Analytics 208

Dynatrace

MARCH 20, 2024

Changes in application code or configurations can impact performance metrics, affecting user experience and application functionality. Conclusion Keptn empowers DevOps teams to conquer the Kubernetes deployment challenge confidently, ensuring smoother and more efficient deployments.

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Open Source Hardware DevOps Infrastructure 273

Dynatrace

JUNE 13, 2022

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. Consider, for example, the recent Log4Shell and Spring4Shell vulnerabilities.

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Open Source DevOps Java Innovation 227

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.

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Artificial Intelligence DevOps Strategy Open Source 188

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.

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DevOps Infrastructure Speed Cloud 230

Dynatrace

JUNE 28, 2022

It negatively affects the lead time for changes (LT) , a DORA metric 1 that DevOps teams use to measure platform and team performance. Utilizing a collection of tools for synthetic CI/CD testing can identify an issue while still leaving DevOps and SRE teams responsible for root cause analysis, which they often have to perform manually.

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Monitoring Software Software DevOps 206

Dynatrace

MAY 17, 2023

To ensure high standards, it’s essential that your organization establish automated validations in an early phase of the software development process—ideally when code is written. How Dynatrace uses Site Reliability Guardian In each of these Dynatrace examples, insight is made in a production-like environment.

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DevOps Traffic Latency Best Practices 192

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 192

Cloud DevOps Open Source Retail 192

Dynatrace

NOVEMBER 14, 2023

DevOps practices have been established in the last decade to accomplish this goal and deal with the dynamics of modern, cloud-native software architectures. The Cloud Native Computing Foundation defines a Golden Path as a “templated composition of well-integrated code and capabilities for rapid project development.”

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Government Best Practices DevOps Engineering 199

Dynatrace

MAY 2, 2024

With the ability to generate new content—such as images, text, audio, and other data—based on patterns and examples taken from existing data, organizations are rushing to capitalize on the AI model. blog Generative AI is an artificial intelligence model that can generate new content—text, images, audio, code—based on existing data.

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Artificial Intelligence Cloud Best Practices DevOps 235

DZone

JULY 3, 2022

I will also refer the reader to the latest version of the Unified Observability in Grafana Workshop that has just been published which demonstrates the principles, provides code and configuration examples, etc. All of the code for the workshop can also be found at the [link] repos (specifically in the observability directory).

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Metrics DevOps Database Code 246

Dynatrace

MAY 21, 2021

Although you can code the logic that governs communication directly into the microservices, a service mesh abstracts that logic into a parallel layer of infrastructure using a proxy called a sidecar, which runs alongside each service. A service mesh enables DevOps teams to manage their networking and security policies through code.

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Traffic DevOps Infrastructure Network 247

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. Their concerns are valid.

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Open Source Energy DevOps Innovation 189

Alex Podelko

NOVEMBER 21, 2018

From load testing to DevOps. The importance of the transformation is stressed in the subtitle of the book, From load testing to DevOps , moving from standalone load testing, a mere step at the end of software development cycle, to performance testing fully integrated into DevOps.

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DevOps Testing Testing Tools Performance Testing 113

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.

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DevOps Latency Traffic Best Practices 224

Dynatrace

FEBRUARY 15, 2023

Every automated workflow consists of easy configuration, extensive trigger options, out-of-the-box actions and integrations, and unprecedented extensibility by leveraging webhooks, JavaScript code, and application actions powered by AppEngine. Example workflow for event-driven vulnerability reporting and escalation.

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Cloud DevOps Code Open Source 178