Dynatrace

APRIL 11, 2023

Dynatrace ‘DevSecOps Lifecycle Coverage with Snyk’ eliminates security coverage blind spots – blog DevSecOps Lifecycle Coverage with Snyk, a new app developed with Dynatrace® AppEngine, enables teams to mitigate security risks across pre-production and production environments, including runtime vulnerability detection, blocking, and remediation.

Cloud 186

Cloud DevOps Open Source Retail 186

Dynatrace

AUGUST 7, 2023

This combined approach provides reliable answers for two key purposes,” wrote Dynatrace CTO Bernd Greifeneder in a May 2023 blog post. And why runtime vulnerability detection makes the difference – blog Vulnerability management is an essential part of securing IT operations. Learn how security improves DevOps.

DevOps 185

DevOps Analytics Best Practices Java 185

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.

DevOps 231

DevOps Innovation Infrastructure Analytics 231

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 217

DevOps Big Data Cloud Innovation 217

Dynatrace

NOVEMBER 20, 2023

The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI – blog Paired with causal AI, organizations can increase the impact and safer use of ChatGPT and other generative AI technologies. What is causal AI? Enter causal AI. What is predictive AI? What is AIOps?

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

Dynatrace

NOVEMBER 22, 2021

Its approach to serverless computing has transformed DevOps. Dynatrace extends contextual analytics and AIOps for open observability. DevOps/DevSecOps with AWS. Successful DevOps is as much about tactics as it is technology. 2021 DevOps Report. Learn more here. What is AWS Lambda? What is AWS Lambda?

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

JANUARY 19, 2022

Observability vs. monitoring: What’s the difference? – Blog. Understanding the difference between observability and monitoring helps DevOps teams understand root causes and deliver better applications. Modern approaches to observability and monitoring for multicloud environments – Blog. What is DevOps?

Artificial Intelligence 179

Artificial Intelligence DevOps Performance Games 179

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. This builds on existing functionality, including configurable dashboards and business analytics via API. How to get started.

Code 217

Code Software Software DevOps 217

Dynatrace

MAY 23, 2022

As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Combined with Agile or DevOps approaches and methodologies, enterprises can accelerate their ability to deliver digital services. Hard on DevOps. Limited because of a single programming language.

Architecture 195

Architecture DevOps Monitoring Programming 195

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 265

Serverless Infrastructure Innovation DevOps 265

Dynatrace

APRIL 28, 2020

Also , in a field of fifteen vendors analy z ed by Gartner, Dynatrace received the highest scores in five of six critical capabilities use cases: CloudOps, DevOps Release, IT Operations, Application Support, and Application Development. . F or the third time in a row, we are positioned furthest in the quadrant for Completeness of Vision.

DevOps 243

DevOps Innovation Monitoring Analytics 243

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

MAY 15, 2020

For Federal, State and Local agencies to take full advantage of the agility and responsiveness of a DevOps approach to the software lifecycle, Security must also play an integral role across lifecycle stages. Modern DevOps permits high velocity development cycles resulting in weekly, daily, or even hourly software releases.

Government 225

Government DevOps Infrastructure Network 225

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 196

DevOps Metrics Best Practices Latency 196

Dynatrace

AUGUST 10, 2021

And, they got the chance to do just that at our recent event, DynatraceGo, which I’ll tell you a bit more about in this blog. Breakout Sessions on Scaling DevOps and SRE, Simplifying Kubernetes, Accelerating Cloud Native Innovation, and Delivering Perfect Experiences with Full Stack Observability. DynatraceGo! DynatraceGo!

DevOps 246

DevOps Innovation Big Data Cloud 246

Dynatrace

JULY 5, 2022

As organizations look to speed their digital transformation efforts, automating time-consuming, manual tasks is critical for IT teams. AIOps aims to provide actionable insight for IT teams that helps inform DevOps, CloudOps, SecOps, and other operational efforts. Dynatrace news. Aggregation. For example: Greater IT staff efficiency.

Artificial Intelligence 285

Artificial Intelligence Cloud Innovation Strategy 285

Dynatrace

OCTOBER 8, 2020

Serverless functions extend applications to accelerate speed of innovation. Although the adoption of serverless functions brings many benefits, including scalability, quick deployments, and updates, it also introduces visibility and monitoring challenges to CloudOps and DevOps. Support for additional deployment tools.

Lambda 294

Lambda AWS Programming Serverless 294

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. A comprehensive, modern approach to AIOps is a unified platform that encompasses observability, AI, and analytics. A huge advantage of this approach is speed.

Artificial Intelligence 212

Artificial Intelligence DevOps Innovation Metrics 212

Dynatrace

MARCH 16, 2021

Artificial intelligence operations (AIOps) is an approach to software operations that combines AI-based algorithms with data analytics to automate key tasks and suggest solutions for common IT issues, such as unexpected downtime or unauthorized data access. Here’s how. What is AIOps and what are the challenges?

Artificial Intelligence 192

Artificial Intelligence Open Source Cloud Analytics 192

Dynatrace

JANUARY 5, 2022

This guest blog is authored by Raphael Pionke , DevOps Engineer at T-Systems MMS. I, Andreas Grabner, helped to bring the blog to life! In white-box testing, we combine open-source load testing tools such as JMeter with Dynatrace’s observability and analytics capabilities. Dynatrace news.

Testing 217

Testing Open Source Metrics Infrastructure 217

Dynatrace

DECEMBER 2, 2021

SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release, and where engineers should focus their time. SLOs allow DevOps teams to predict the problems before they occur and especially before they impact customers. Help with decision making.

Metrics 191

Metrics Best Practices DevOps Infrastructure 191

Tasktop

JANUARY 5, 2022

This is by no means a unique phenomenon: Any marketing expert could tell you, for example, how Google Analytics can paint a very different picture depending on the selected date range. . In this blog, we’ll review a few of the common anti-patterns about which you you should be aware. . Be content with the speed of completed work .

Metrics 98

Metrics Speed Analytics Azure 98

Dynatrace

MAY 27, 2022

Each piece of the AIOps triumvirate plays a crucial role in the automation process to speed innovation. For example, a typical use case involves a web server running an analytics and reporting system. The post AIOps automates DevSecOps workflows to enable self-healing IT appeared first on Dynatrace blog.

Artificial Intelligence 186

Artificial Intelligence Innovation Servers Database 186

Tasktop

JUNE 25, 2019

Introduction to value streams (with Brian Ashcraft): This two-hour training course enables you on the fundamentals of getting started with a VSM initiative, including common attributes, an improvement methodology, analytical methods, and a tooling assessment. Learn more. Learn more.

Speed 40

Speed Software Software DevOps 40

Smashing Magazine

OCTOBER 24, 2023

Analytics is a good example. Writing a hand-spun analytics tracking dashboard isn’t what my clients really want to pay me for, so I’ll drop in the ol’ Google Analytics script and maybe never think of it again. Large preview ) That’s a nice big view and is a good illustration of TBT’s impact on page speed.

Google 91

Google Analytics Traffic Metrics 91

Dynatrace

JULY 30, 2021

Progressive Delivery enables speeding up while managing the risk of software deployments and configuration changes. The post How to automate Canary Release decisions with Dynatrace appeared first on Dynatrace blog. Dynatrace news. Step 3: SLOs. Dynatrace has been supporting SLOs for a while now.

Cloud 232

Cloud Metrics Strategy Monitoring 232

Dynatrace

DECEMBER 8, 2020

In our increasingly digital world, the speed of innovation is key to business success. As a result, e xisting application security approaches can’t keep up with this speed and vari ability of modern development processes. . Dynatrace news. Organizations are rushing towards cloud-native application stacks for agility.

Cloud 290

Cloud Open Source Internet Internet 290

Testsigma

JUNE 26, 2021

Also, teams with agile or DevOps culture are more collaborative, and testing isn’t a tester’s responsibility alone; developers, product managers, testers work together in ensuring a high-quality product. For instance, Testsigma — a codeless automation testing tool lets you write automated tests at 5x speed. Signup Now.

Testing 57

Testing Testing Tools Automotive Scalability 57

Dotcom-Montior

MAY 21, 2020

In an era of cloud infrastructure, the goal is to integrate all your web services into one place: CDN, DNS, third-party API services, QA tools, analytics tools, and any other component you can think of, are working with each other to make your services function. Is my website speed good? So how do you deal with that?

Monitoring 94

Monitoring DevOps Infrastructure Network 94

Dynatrace

DECEMBER 9, 2020

Our customers are increasingly transitioning to agile software development, DevOps, and progressive continuous delivery to deliver business value faster. To speed up release frequency, they’re investing in delivery-pipeline automation. Dynatrace news.

Metrics 151

Metrics Engineering Google Monitoring 151

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

MAY 5, 2021

Establishing clear, consistent, and effective quality gates that are automatically validated at each phase of the delivery pipeline is essential for improving software quality and speeding up delivery. Automating quality gates creates reliable checks and balances and speeds up the process by avoiding manual intervention.

Benchmarking 182

Benchmarking Latency Speed Software 182

Testsigma

JULY 3, 2021

Honestly, this is not time-effective at all if you’re aiming for efficiency and speed. People : With on-premise testing, you’ve got to set up a dedicated team of people that includes DevOps specialists, testers, developers, the IT team, and anyone involved to maintain, upgrade, install, and monitor the tools.

Cloud 57

Cloud Testing Storage DevOps 57

Testsigma

JUNE 15, 2021

Globally businesses have evolved from the conventional Waterfall model to the modern Agile and DevOps, thereby embracing digital transformation. In-sprint test automation works best for agile and DevOps teams or even teams that use hybrid methodologies. Evolution is perhaps the most common norm in the world of software development.

Testing 52

Testing DevOps Mobile Testing Tools 52

Testsigma

AUGUST 26, 2021

We’re sure you’ve heard your DevOps team often talk about test orchestration. You can also leverage various tools such as automated testing tools, project management tools, DevOps tools, etc., 100% continuous testing: For agile and DevOps teams, this is a blessing in disguise. appeared first on Testsigma Blog.

Testing 52

Testing Strategy DevOps Testing Tools 52

Testsigma

OCTOBER 15, 2021

Parallel test execution: With parallel test execution, there’s guaranteed speed. Because of this feature, you can automate with speed, and also fetch results quickly, which further helps in cutting down feedback cycles. Analytics & reports: Testsigma’s reports and analytics dashboard is highly customizable.

Testing 52

Testing Testing Tools Analytics Website 52

Tasktop

FEBRUARY 24, 2021

That’s virtually impossible without real-time systems data and analytics. . Speed without quality creates re-work that actually negatively impacts time-to-market. “In Companies gain speed by eliminating rework, which requires a test-first approach.” . But reality tells a different story. What Does Under-Resourced QA Look Like?

Healthcare 52

Healthcare Retail Metrics Innovation 52