Dynatrace

OCTOBER 23, 2023

The platform helps companies manage corporate spending using automation, card (physical and virtual), and integrations with expense management systems and enterprise resource planning (ERP) systems, such as Netsuite, Concur, Zucchetti, and so on. “We What is security by design? We’re born in the cloud, we’re a cloud-native company.

Design 208

Design Innovation DevOps Open Source 208

Dynatrace

JANUARY 29, 2024

“Closed loop” refers to the continuous feedback loop in which the system takes actions — based on monitoring and analysis — and verifies the results to ensure complete problem remediation. The goal is to either improve or restore the system to its optimally functioning state. Improved change failure and escalation rates.

Best Practices 185

Best Practices DevOps Energy Innovation 185

Dynatrace

MAY 2, 2024

As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks. Tech Transforms podcast: It’s time to get familiar with generative AI – blog Generative AI can unlock boundless innovation. Learn how security improves DevOps. What is generative AI? What is DevSecOps?

Artificial Intelligence 221

Artificial Intelligence Cloud Best Practices DevOps 221

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. There are simply too many disparate sources of information to successfully manage and monitor without automation.

Efficiency 267

Efficiency Performance Analytics DevOps 267

Dynatrace

JANUARY 23, 2024

Enter AI observability, which uses AI to understand the performance and cost-effectiveness details of various systems in an IT environment. The goal of the practice is to reduce manual effort and redundant tasks to allow developers to spend more time innovating. How can organizations use AI observability to optimize AI costs?

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Dynatrace

JUNE 26, 2023

Software automation enables digital supply chain stakeholders — such as digital operations, DevSecOps, ITOps, and CloudOps teams — to orchestrate resources across the software development lifecycle to bring innovative, high-quality products and services to market faster. Applications and microservices monitoring. Application security.

Software 181

Software Software Analytics Big Data 181

Dynatrace

APRIL 11, 2023

Log4Shell required many organizations to take devices and applications offline to prevent malicious attackers from gaining access to IT systems and sensitive data. As a result, organizations need to be vigilant in identifying and addressing vulnerabilities to protect their systems and data.

Cloud 180

Cloud DevOps Open Source Retail 180

Dynatrace

NOVEMBER 2, 2022

Organizations have increasingly turned to software development to gain competitive edge, to innovate and to enable more efficient operations. This shift often requires more frequent software releases with built-in measures that ensure a strong digital immune system. Observability. Continuous validation.

Software 189

Software Software Artificial Intelligence DevOps 189

Dynatrace

NOVEMBER 22, 2021

Amazon Web Services (AWS) and other cloud platforms provide visibility into their own systems, but they leave a gap concerning other clouds, technologies, and on-prem resources. Its approach to serverless computing has transformed DevOps. DevOps/DevSecOps with AWS. Dynatrace is making the value of AI real. Learn more here.

AWS 223

AWS Lambda Artificial Intelligence Serverless 223

Dynatrace

JUNE 13, 2022

But with this speed, agility, and innovation come new challenges. The conference’s theme recognizes that IT collaboration, DevSecOps culture, and business resilience are mutually reinforcing the role of DevSecOps teams in addressing application security threats, system downtime, and digital user experience issues.

Open Source 215

Open Source DevOps Java Innovation 215

Dynatrace

AUGUST 26, 2020

Today, the AI Breakthrough Awards announced its 2020 winners , recognizing the leading AI innovators and solutions. All of this enables DevOps teams to spend more time on innovative, value-adding activities, as Davis continuously monitors for errors or system degradations.

Engineering 298

Engineering DevOps Innovation AWS 298

Dynatrace

FEBRUARY 15, 2022

Every year at our annual user conference, Dynatrace Perform , we recognize the most inspiring success stories from our most innovative, transformative customers and partners. DevOps: companies who shorten innovation cycles, automate their CI/CD pipelines , and improve code quality for production. These are individual awards.

Performance 202

Performance Innovation DevOps Software 202

Dynatrace

NOVEMBER 9, 2021

2021 Gartner Peer Insights Voice of the Customer: Application Performance Monitoring. But the cloud is forcing a rethink of tooling, platforms, technologies, and services to power new, agile, applications and application components, that break down silos, and use AI and automation to accelerate innovation. APM to Observability.

DevOps 211

DevOps Innovation Cloud Programming 211

Dynatrace

SEPTEMBER 14, 2023

That’s because over the past several years, financial services firms have become more innovative in their use of technology. With an automatic observability platform, teams can receive alerts when the system has burned through the impact tolerance. with regulations such as PRA SS1/21.

Tuning 216

Tuning DevOps Innovation Testing 216

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. That’s why good communication between SREs and DevOps teams is important. More than one in seven outages cost more than $1 million.

Best Practices 216

Best Practices DevOps Latency Metrics 216

Dynatrace

JULY 16, 2021

The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. Quick Start: Answer-driven quality gates in 5 minutes.

DevOps 243

DevOps Open Source Cloud Azure 243

Dynatrace

NOVEMBER 6, 2023

Application observability helps IT teams gain visibility in their highly distributed systems, but what is developer observability and why is it important? In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. The DevOps people looking end-to-end.

Development 253

Development DevOps Programming Cloud 253

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 248

Engineering DevOps Government Latency 248

Dynatrace

NOVEMBER 9, 2022

For IT teams seeking agility, cost savings, and a faster on-ramp to innovation, a cloud migration strategy is critical. Cloud migration enables IT teams to enlist public cloud infrastructure so an organization can innovate without getting mired in managing IT infrastructure as the organization scales. . Successful?

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

NOVEMBER 29, 2022

Dynatrace Cloud Automation is an enterprise-grade control plane that extends intelligent observability, automation, and orchestration capabilities of the Dynatrace platform to DevOps pipelines. In response, Dynatrace introduced Monaco (Monitoring-as-code). Cloud Automation use cases. Register now!

Infrastructure 167

Infrastructure Code Cloud DevOps 167

Dynatrace

APRIL 28, 2020

Gartner just released its latest Magic Quadrant for Application Performance Monitoring (APM) , and a separate Critical Capabilities for APM report. Our employees listen carefully to our customers and innovate continuously. Gartner, Magic Quadrant for Application Performance Monitoring, Charley Rich, Federico De Silva, 22 April 2020.

DevOps 235

DevOps Innovation Monitoring Analytics 235

Dynatrace

MAY 8, 2023

With the world’s increased reliance on digital services and the organizational pressure on IT teams to innovate faster, the need for DevOps monitoring tools has grown exponentially. But when and how does DevOps monitoring fit into the process? What is DevOps monitoring? Help systems meet SLAs.

DevOps 213

DevOps Efficiency Monitoring Infrastructure 213

Dynatrace

MARCH 7, 2022

Other benefits include faster software innovation, continuously improved user experiences, and increased operational efficiency, achieved with automatic and intelligent observability. There are times [when] Dynatrace catches issues before other systems do. Dynatrace news. Other tools lack the AI that Dynatrace has. million in value.

Healthcare 216

Healthcare Innovation Efficiency DevOps 216

Dynatrace

OCTOBER 14, 2022

These systems are generating more data than ever, and teams simply can’t keep up with a manual approach. Artificial intelligence (AI) refers to a system’s ability to mimic human cognitive function. Machine learning applications may be developed standalone, but they’re often part of larger AI systems.

Artificial Intelligence 170

Artificial Intelligence DevOps Analytics Cloud 170

Dynatrace

JULY 6, 2022

Monitoring and logging are fundamental building blocks of observability. When monitoring tools release a stream of alerts, teams can easily identify which ones are false and assess whether an event requires human intervention. IT automation, DevOps, and DevSecOps go together. Monitoring automation is ongoing.

Artificial Intelligence 182

Artificial Intelligence Tuning Strategy Big Data 182

Dynatrace

OCTOBER 19, 2023

Organizations should adopt comprehensive practices that encompass a wide range of potential vulnerabilities and apply them across all their IT systems. By incorporating automated vulnerability scans within the software development lifecycle (SDLC), developers can expedite the release of innovative software features.

Best Practices 201

Best Practices Benchmarking Speed Infrastructure 201

Dynatrace

AUGUST 13, 2020

Kubernetes at scale in the enterprise is complex with systems constantly changing and data that quickly grows beyond human scale making traditional approaches to observability hard and ineffective. Old approaches to monitoring Kubernetes quickly fail, leaving customers to think about DIY approaches. .

Cloud 262

Cloud DevOps Innovation Monitoring 262

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 170

Engineering DevOps Government Latency 170

Dynatrace

FEBRUARY 21, 2024

By actively monitoring metrics such as error rate, success rate, and CPU load, quality gates instill confidence in teams during software releases. This approach supports innovation, ambitious SLOs, DevOps scalability, and competitiveness. This mechanism significantly boosts the likelihood of optimal functioning upon deployment.

Speed 199

Speed Software Software Latency 199

Dynatrace

JULY 30, 2021

Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. All it takes is putting two tags ( keptn_managed and keptn_service ) on the monitored Dynatrace service we want to enable a quality gate for. Last week we kicked it off with a three-hour virtual hands-on workshop.

Cloud 210

Cloud DevOps Azure Virtualization 210

Dynatrace

JULY 7, 2022

AIOps and observability—or artificial intelligence as applied to IT operations tasks, such as cloud monitoring—work together to automatically identify and respond to issues with cloud-native applications and infrastructure. The system then turns these insights into automatable actions in real time. Think’ with artificial intelligence.

Artificial Intelligence 174

Artificial Intelligence Automotive DevOps Infrastructure 174

Dynatrace

APRIL 5, 2021

It also enables DevOps teams to connect to any number of AWS services or run their own functions. But with the benefits also come concerns about observability, and how to monitor and manage ever-expanding cloud software stacks. Tasks like API requests, database calls, and file system management are perfect candidates for this service.

Lambda 174

Lambda AWS Serverless Hardware 174

Dynatrace

OCTOBER 28, 2021

The science has spawned specialized chaos engineers who dedicate themselves to disrupting cloud software and the on-prem systems they interact with to make them resilient. Chaos engineering generally originates from small teams within DevOps , often involving applications running in both pre-production and production environments.

Engineering 217

Engineering Entertainment Cloud Infrastructure 217

Dynatrace

MARCH 2, 2023

At Perform 2023, Dynatrace’s annual conference, Hightower once again joined DevOps activist Andreas Grabner onstage to discuss the role of AI in today’s cloud environments. You can’t reverse-engineer what you don’t understand Grabner observed that Kubernetes enables developers to innovate and deploy freely, which created a sort of Wild West.

Best Practices 209

Best Practices Internet Internet Cloud 209

Dynatrace

MARCH 3, 2020

The IDC FutureScape: Worldwide IT Industry 2020 Predictions highlights key trends for IT industry-wide technology adoption for the next five years and includes these predictions: Hasten to innovation. By 2024, over 50% of all IT spending will be directly put towards digital transformation and innovation (up from 31% in 2018).

Performance 235

Performance Education Innovation Software Architecture 235

Dynatrace

FEBRUARY 8, 2021

They are required to understand the full story of what happened in a system. Organizations struggle to effectively use logs for monitoring business-critical data and troubleshooting. Legacy monitoring, observability-only, and do-it-yourself approaches leave it up to digital teams to make sense of this data.

Cloud 255

Cloud Azure Analytics AWS 255

Dynatrace

MAY 23, 2022

Because of their flexibility, dynamic, ephemeral environments are more difficult to monitor in real time than traditional on-premises infrastructure. Above all, companies modernize and adopt a multicloud strategy to innovate, scale, and increase efficiency. Monitoring multicloud environments and identifying security vulnerabilities.

Strategy 218

Strategy Innovation Cloud Serverless 218