Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 226

Artificial Intelligence DevOps Hardware Virtualization 226

Dynatrace

MAY 2, 2024

Additionally, blind spots in cloud architecture are making it increasingly difficult for organizations to balance application performance with a robust security posture. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks. Learn how security improves DevOps.

Artificial Intelligence 251

Artificial Intelligence Cloud Best Practices DevOps 251

Dynatrace

APRIL 11, 2023

Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it.

Cloud 211

Cloud DevOps Open Source Retail 211

Dynatrace

JUNE 26, 2023

Software analytics offers the ability to gain and share insights from data emitted by software systems and related operational processes to develop higher-quality software faster while operating it efficiently and securely. It provides valuable insight into complex public, private, and hybrid cloud IT structures, systems, and frameworks.

Software 211

Software Software Analytics Big Data 211

Dynatrace

SEPTEMBER 30, 2019

When the actual land around your cities is burning, and all of your emergency services are working at full capacity, the systems that are behind those teams must be even more reliable than those on a trading floor or in an airplane. The post Keeping DevOps cool in a heated environment appeared first on Dynatrace blog.

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DevOps Traffic Website Infrastructure 161

Dynatrace

APRIL 21, 2023

Kailey Smith, application architect on the DevOps team for Minnesota IT Services (MNIT), discussed her experience with an outage that left her and her peers to play defense and fight fires. It helps our DevOps team respond and resolve systems’ problems faster,” Smith said. Dynatrace truly helps us do more with less.

Innovation 206

Innovation Speed Artificial Intelligence Government 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. There are simply too many disparate sources of information to successfully manage and monitor without automation. Learn more.

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Efficiency Performance Analytics DevOps 295

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

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AWS Lambda Artificial Intelligence Serverless 242

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 263

Engineering DevOps Government Latency 263

Dynatrace

NOVEMBER 9, 2023

Kubernetes is a widely used open source system for container orchestration. However, managing Kubernetes optimally can be a daunting task due to its complex architecture. Properly monitoring a Kubernetes cluster or any related environment can be difficult.

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Efficiency Monitoring Best Practices Open Source 298

Dynatrace

JULY 29, 2024

How observability, application security, and AI enhance DevOps and platform engineering maturity – blog Observability and AI can help ensure the reliability, security, and efficiency of DevOps and platform engineering. The following resources explore the ways in which AI makes DevSecOps more effective. Learn more in this blog.

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Analytics Government DevOps Efficiency 199

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 240

Best Practices DevOps Latency Metrics 240

Dynatrace

MARCH 29, 2024

As organizations continue to modernize their technology stacks, many turn to Kubernetes , an open source container orchestration system for automating software deployment, scaling, and management. “And as the cost is going down, we’re also monitoring to see what’s happening to application performance.”

Engineering 248

Engineering DevOps Operating System Open Source 248

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).

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DevOps Innovation Cloud Programming 237

Dynatrace

OCTOBER 14, 2022

As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. These systems are generating more data than ever, and teams simply can’t keep up with a manual approach. How exactly does it differ from machine learning? What is artificial intelligence?

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Artificial Intelligence DevOps Analytics Cloud 197

Dynatrace

NOVEMBER 14, 2023

Dynatrace product marketing director of DevOps Saif Gunja hosted the 2023 State of SRE webinar. Generative AI can also help improve root cause analysis by allowing users to ask specific questions regarding architecture and digital environments. Access to quick, reliable answers fosters rapid learning among teams.

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Best Practices Engineering DevOps Software Engineering 216

Dynatrace

MAY 19, 2022

Every organization’s goal is to keep its systems available and resilient to support business demands. A service-level objective ( SLO ) is the new contract between business, DevOps, and site reliability engineers (SREs). The monitoring team set up the dashboard, so who owns violations? Example 1: Architecture boundaries.

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Automotive Latency Architecture Azure 285

Dynatrace

JUNE 13, 2022

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. Learn how security improves DevOps. DevOps vs. DevSecOps – blog.

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Open Source DevOps Java Innovation 239

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 204

Artificial Intelligence Automotive DevOps Infrastructure 204

Dynatrace

AUGUST 25, 2023

Program staff depend on the reliable functioning of critical program systems and infrastructure to provide the best service delivery to the communities and citizens HHS serves, from newborn infants to persons requiring health services to our oldest citizens. Both can result in lost productivity for IT teams and staff in the field.

Government 227

Government Infrastructure Programming Cloud 227

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 199

Engineering DevOps Government Latency 199

Dynatrace

DECEMBER 27, 2022

As more organizations embrace microservices-based architecture to deliver goods and services digitally, maintaining customer satisfaction has become exponentially more challenging. SLOs enable DevOps teams to predict problems before they occur and especially before they affect customer experience. SLOs minimize downtime. Availability.

Software 286

Software Software Benchmarking Latency 286

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? And how do DevOps monitoring tools help teams achieve DevOps efficiency?

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DevOps Efficiency Monitoring Infrastructure 238

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. 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.

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Performance DevOps Innovation Artificial Intelligence 210

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.

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Artificial Intelligence Tuning Strategy Big Data 213

Dynatrace

MAY 3, 2022

To adapt, many are turning to AIOps and other automation technologies to solve the complex issues that accompany cloud-native architecture. While shifting to a multicloud model offers many advantages, the change also introduces more data and systems to track and a complex matrix of systems to manage.

Cloud 201

Cloud DevOps Architecture Technology 201

Dynatrace

SEPTEMBER 17, 2019

Kubernetes (k8s) provides basic monitoring through the Kubernetes API and you can find instructions like Top 9 Open Source Tools for Monitoring Kubernetes as a “do it yourself guide”. End-user monitoring. MaaSS for Cloud Architects: Deployment and Architecture Validations. Dynatrace news. Full-stack observability.

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AWS Monitoring Ecommerce Lambda 130

Dynatrace

JUNE 15, 2023

It also entails secure development practices, security monitoring and logging, compliance and governance, and incident response. Cloud application security practices enable organizations to follow secure coding practices, monitor and log activities for detection and response, comply with regulations, and develop incident response plans.

Cloud 200

Cloud Open Source Architecture Monitoring 200

Dynatrace

OCTOBER 28, 2021

But with the complexity that comes with digital transformation and cloud-native architecture, teams need a way to make sure applications can withstand the “chaos” of production. Because it can touch many systems, chaos engineering can have broad implications, affecting groups and stakeholders across the organization.

Engineering 248

Engineering Entertainment Cloud Infrastructure 248

Dynatrace

SEPTEMBER 9, 2022

According to IBM , application modernization takes existing legacy applications and modernizes their platform infrastructure, internal architecture, or features. Similarly, you may need to further develop DevOps and DevSecOps practices to ensure the healthy and proper lifecycles of an application modernization strategy.

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Strategy Benchmarking Serverless Cloud 249

Dynatrace

AUGUST 16, 2021

Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Successful DevOps teams have figured out that “delivering more with less” requires careful management of release risks and automation to scale. Topics in this blog series. Kubernetes pod attributes.

Software 246

Software Software Open Source Azure 246

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. 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. What’s next. Seeing is believing .

Cloud 264

Cloud Azure Analytics Open Source 264

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.

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Lambda AWS Serverless Hardware 198

Dynatrace

OCTOBER 14, 2022

Achieving this from a typical enterprise’s various apps, systems, and configurations is the beginning of the observability journey and, therefore, critical to get right. All this is easier said than done because: Kubernetes-based dynamic architecture is becoming the norm.

Storage 251

Storage Government Network Infrastructure 251

Dynatrace

JULY 12, 2022

It’s all part of a continuous deployment architecture,” Schirrmacher says. “We Park ‘N Fly turned to Dynatrace’s observability platform and AIOps to accelerate this code development and continuously monitor infrastructure. To me, AIOps is like having your DevOps people in more automated fashion,” Schirrmacher says.

Innovation 238

Innovation Infrastructure DevOps Azure 238

Dynatrace

AUGUST 2, 2022

Malicious attackers have gotten increasingly adept at identifying vulnerabilities and launching attacks to exploit these weak points in IT systems. But they also need a better strategy to address these attacks if they have IT systems and live applications that are already compromised. DevSecOps: Integrating security into DevOps.

DevOps 130

DevOps Strategy Open Source Java 130

Dynatrace

OCTOBER 15, 2021

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. OpenTelemetry reference architecture. Monitoring begins here. To appreciate what OTel does, it helps to understand observability.

Open Source 238

Open Source Metrics Cloud Transportation 238