Dynatrace

AUGUST 5, 2020

Dynatrace Synthetic Monitoring allows you to proactively monitor the availability of your public as well as your internal web applications and API endpoints from locations around the globe or important internal locations such as branch offices. Synthetic monitors help you find issues before they affect your customers.

Metrics 220

Metrics Monitoring Performance Benchmarking 220

CSS Wizardry

JUNE 30, 2023

I never thought I’d write an article in defence of DOMContentLoaded , but here it is… For many, many years now, performance engineers have been making a concerted effort to move away from technical metrics such as Load , and toward more user-facing, UX metrics such as Speed Index or Largest Contentful Paint. Or are they…? View unabridged.

Metrics 326

Metrics Google Monitoring Analytics 326

Dynatrace

SEPTEMBER 22, 2022

Staying ahead of customer needs requires speed and agility from all phases of the software development life cycle (SDLC). Automating tasks throughout the SDLC helps software development and operations teams collaborate while continuously improving how they design, build, test, deploy, release, and monitor software applications.

DevOps 193

DevOps Innovation Speed Monitoring 193

Dynatrace

MAY 7, 2019

This is why we’re proud to announce fully automated and AI-powered full-stack monitoring for OpenShift 4.0 Traditional monitoring systems cannot keep up with the speed of change in those highly dynamic large-scale container environments. Automated distributed tracing, deep monitoring and AI-powered answers for OpenShift 4.0

Monitoring 206

Monitoring Architecture Metrics Analytics 206

Dynatrace

DECEMBER 13, 2023

As a result, organizations need to monitor mobile app performance metrics that are meaningful and actionable by gaining adequate observability of mobile app performance. Closely monitoring mobile app performance will help ensure customer interactions via mobile apps are meeting the expectations of the customers. Proactive monitoring.

Best Practices 203

Best Practices Mobile Metrics Performance 203

Dynatrace

MAY 4, 2023

Leveraging open source code and traditional monitoring tools can also increase the risk for vulnerabilities to enter the SDLC. The Dynatrace 2022 CISO Report found that only 25% of security teams can access fully accurate and continuously updated reports of applications and code in real time.

DevOps 218

DevOps Speed Innovation Open Source 218

Percona

JANUARY 4, 2023

The following comments in the PostgreSQL code can tell the whole story. /* * pgarch_readyXlog * * Return name of the oldest xlog file that has not yet been archived. * Better monitoring of WAL archiving. This wait event monitoring can tell us what the amount of time spent on specific actions is. ArchiveCleanupCommand.

Speed 108

Speed Monitoring Availability Code 108

Percona

OCTOBER 12, 2023

It shows which code paths are more busy on the CPU in given samples. The idea behind this is to speed up cluster resources such as garbage collection, reduce image transfer over the network, and accelerate the application launch. Flame graphs are a graphical representation of function calls.

Code 108

Code Tuning C++ Benchmarking 108

Dynatrace

OCTOBER 19, 2023

Implementing vulnerability management in your application security process aids in vulnerability detection and prevention before they can enter production code. Continuously monitoring your runtime environments for vulnerabilities will also reveal security issues that may have only shown themselves during production.

Best Practices 213

Best Practices Benchmarking Speed Infrastructure 213

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 249

Engineering DevOps Innovation Storage 249

Dynatrace

APRIL 8, 2024

Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed. This enables banks to manage risk with the speed and precision mandated by their markets. Grail drives insights and decisions that preserve earnings and strengthen balance sheets. Strengthen application security with a multipronged approach.

Analytics 206

Analytics Infrastructure Efficiency Technology 206

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 280

Efficiency Performance Analytics DevOps 280

Dynatrace

AUGUST 29, 2022

Release validation is a critical DevOps practice to help ensure that code released into production is successful. While developing an application, service, or piece of code, it is critical to test the releases during defined milestones. This can become a complicated step if the application or code is complex. Dynatrace news.

DevOps 213

DevOps Benchmarking Cloud Monitoring 213

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 227

Best Practices DevOps Latency Metrics 227

Dynatrace

AUGUST 9, 2019

Commit Cycle Time refers to the average time for a code or configuration change until it’s deployed into production and accessible to users. The code is smaller, and every software engineer makes production changes on an ongoing basis. ACM Survey, Part 2: How your peers use production monitoring data to innovate faster.

Speed 115

Speed Innovation DevOps Cloud 115

Dynatrace

JUNE 1, 2022

Even robust cybersecurity tools are unable to effectively monitor the dynamic multicloud environments that containers, microservices, and cloud-based resources generate. Further, software development in multicloud environments introduces multiple coding languages and third-party libraries.

Artificial Intelligence 185

Artificial Intelligence Java Strategy Cloud 185

MachMetrics

JULY 15, 2020

However, if utilized carelessly, CSS can greatly affect our page speed. That’s good to know, but I know you’re looking for a css speed test, or techniques for optimizing your css for speed. We highly recommend continuous monitoring of your site, however, which you can do with our service – MachMetrics.

Speed 78

Speed Website Cache Google 78

Dynatrace

MARCH 22, 2023

To avoid these problems, set up automated DevSecOps release validation and security gates so that no insecure code progresses to production. Continuously monitor applications in runtime for known vulnerabilities and prioritize patching based on criticality: for example, adjacency to the internet and/or critical data.

Open Source 203

Open Source Artificial Intelligence Internet Internet 203

Dynatrace

AUGUST 10, 2021

To be ready to deal with crashes, you need a monitoring solution that alerts you to critical events, provides you with an overview of crash events, and enables you to quickly resolve issues that contribute to crashes. Working effectively with speed and accuracy. You want to focus on crashes that matter. See what your users see.

Mobile 246

Mobile Retail Hardware Games 246

Dynatrace

JANUARY 23, 2024

Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. Check back here throughout the event for the latest news, insights, and announcements.

Performance 190

Performance DevOps Innovation Artificial Intelligence 190

Dynatrace

JULY 29, 2022

Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. Better-quality code. Unfortunately, many organizations have dozens of siloed data collection and monitoring tools and teams.

Analytics 219

Analytics Storage Retail Monitoring 219

Dynatrace

NOVEMBER 6, 2023

But developers need code-level visibility and code-level data.” With traditional monitoring tools, the granular data that developers require typically involves manual preparation. That’s not how I envision code-level observability,” Laifenfeld said. KubeCon North America is this week. “Then, I add a breakpoint.

Development 266

Development DevOps Programming Cloud 266

Dynatrace

JUNE 26, 2023

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. DevSecOps and ITOps teams can then perform tasks with accuracy at the speed a business requires. Applications and microservices monitoring.

Software 192

Software Software Analytics Big Data 192

Dynatrace

AUGUST 28, 2023

While digital experience has many facets, transaction speed usually ranks among the most important. From first to lasting impressions But there’s more to digital experience than speed. How Dynatrace can help Recent platform innovations have made monitoring end-to-end business processes such as order fulfillment easier.

Retail 207

Retail Logistics Innovation Analytics 207

Dynatrace

MAY 23, 2022

Because of their flexibility, dynamic, ephemeral environments are more difficult to monitor in real time than traditional on-premises infrastructure. However, using traditional monitoring approaches with these technologies only compounds these vulnerability blind spots. Automation for application security.

Strategy 229

Strategy Innovation Cloud Serverless 229

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 226

Open Source DevOps Java Innovation 226

Dynatrace

NOVEMBER 9, 2021

2021 Gartner Peer Insights Voice of the Customer: Application Performance Monitoring. Observability provides deeper technical insights into what’s happening within cloud environments, in comparison to APM and/or traditional monitoring methods. Observability isn’t simply a new name for application performance monitoring (APM).

DevOps 222

DevOps Innovation Cloud Programming 222

Dynatrace

JULY 29, 2022

Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. Better-quality code. Unfortunately, many organizations have dozens of siloed data collection and monitoring tools and teams.

Analytics 185

Analytics Storage Retail Monitoring 185

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: . GitHub and GitHub Actions.

Software 246

Software Software Open Source Azure 246

Dynatrace

MAY 27, 2022

At Dynatrace Perform 2022 , David Walker, a Lockheed Martin Fellow, and William Swofford, a full-stack engineer at Lockheed Martin, discuss how to create a self-diagnosing and self-healing IT server environment using this AIOps combination for auto-baselining, auto-remediation, monitoring as code, and more. End-to-end self-healing IT.

Artificial Intelligence 191

Artificial Intelligence Innovation Servers Database 191

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. Example #3 – Automate Monitoring configuration as code.

Software 206

Software Software Open Source DevOps 206

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. That’s because participants in the supply chain are more interconnected than ever.

Software 194

Software Software Open Source DevOps 194

Dynatrace

JULY 30, 2021

With all the technology changes through the past three years, with the world moving to K8s, the rise of GitOps, everything as code, event-driven automation, and many new open standards in the cloud-native space, it was time to update our workshop. Speed up your delivery processes by automating your quality gates into your Jenkins, GitLab, ….

Cloud 214

Cloud DevOps Azure Virtualization 214

Dynatrace

AUGUST 9, 2023

Extending application security protection to Security Analytics With Dynatrace Runtime Vulnerability Analytics , Dynatrace customers have reduced the amount of time and effort spent on identifying and prioritizing vulnerabilities in both custom code and third-party code.

Analytics 223

Analytics Metrics Database Storage 223

Dynatrace

FEBRUARY 10, 2022

As they increase the speed of product innovation and software development, organizations have an increasing number of applications, microservices and cloud infrastructure to manage. Further, many organizations—more than 90%—have turned to cloud computing to navigate the highwire act of balancing speed and quality.

Artificial Intelligence 189

Artificial Intelligence Performance Innovation Speed 189

Dynatrace

SEPTEMBER 13, 2023

Using an interactive no/low code editor, you can create workflows or configure them as code. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond  Beyond efficiency, validating performance thresholds is also crucial for revenues.

AWS 251

AWS Efficiency Azure Cloud 251

Dynatrace

JULY 16, 2021

We have seen users who joined our preview program “speed up their release validation by 90%”. You have automated tests as part of delivery, monitored by Dynatrace, and you want to automatically validate to speed up your delivery pipeline (Lead Time). GitOps: Cloud automation as code. Expand to more use cases.

DevOps 245

DevOps Open Source Cloud Azure 245