Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 208

Analytics Monitoring Artificial Intelligence DevOps 208

Dynatrace

DECEMBER 3, 2021

The adoption of cloud computing in the federal government will accelerate in a meaningful way over the next 12 to 18 months, increasing the importance of cloud monitoring. This is welcome insight as the Cloud First and Cloud Smart initiatives continue to take root. Obstacles to cloud monitoring.

Cloud 186

Cloud Artificial Intelligence Government Analytics 186

Dynatrace

FEBRUARY 15, 2023

Cloud environments—including multicloud, hybrid, and cloud-native ecosystems—offer unmatched agility, scalability, and cost-effectiveness, though they also present new challenges and complexities that are impossible to manage manually. Evolving threats: New security threats and vulnerabilities are constantly emerging.

Cloud 172

Cloud DevOps Code Open Source 172

Dynatrace

OCTOBER 4, 2021

As a result, API monitoring has become a must for DevOps teams. So what is API monitoring? What is API Monitoring? API monitoring is the process of collecting and analyzing data about the performance of an API in order to identify problems that impact users. The need for API monitoring. Ways to monitor APIs.

Monitoring 177

Monitoring Latency Metrics Availability 177

Dynatrace

SEPTEMBER 30, 2021

More organizations than ever are undertaking cloud migration as digital transformation continues to gain momentum across every industry in every region. But what does it take to migrate your existing applications to the cloud? What is cloud migration? However, it can also mean migrating from one cloud to another.

Cloud 165

Cloud Traffic Best Practices Strategy 165

Dynatrace

JUNE 28, 2021

Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Many organizations respond by adding a proliferation of infrastructure monitoring tools, which in many cases, just adds to the noise. Dynatrace news.

Infrastructure 178

Infrastructure Monitoring Artificial Intelligence Open Source 178

Dynatrace

OCTOBER 2, 2023

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. In fact, it can be difficult to make code changes that won’t disrupt the entire system.

Architecture 231

Architecture Artificial Intelligence Cloud Open Source 231

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. This shift requires infrastructure monitoring to ensure all your components work together across applications, operating systems, storage, servers, virtualization, and more.

Infrastructure 199

Infrastructure Monitoring Virtualization Serverless 199

Dynatrace

JANUARY 13, 2022

Real user monitoring can help you catch these issues before they impact the bottom line. What is real user monitoring? Real user monitoring (RUM) is a performance monitoring process that collects detailed data about a user’s interaction with an application. Real user monitoring collects data on a variety of metrics.

Monitoring 179

Monitoring Latency Mobile Best Practices 179

Dynatrace

NOVEMBER 6, 2023

Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Modern cloud complexity is becoming nearly impossible for human beings to manage without AI and automation. Modern cloud complexity is becoming nearly impossible for human beings to manage without AI and automation.

Development 261

Development DevOps Programming Cloud 261

Dynatrace

NOVEMBER 9, 2022

Today’s organizations know they need cloud environments to stay competitive. . Indeed, according to some research, more than 90% of organizations now use cloud computing. cloud-native platforms will be the foundation ?for But many companies’ IT infrastructure doesn’t start out in the cloud. And Gartner predicts that?

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

SEPTEMBER 29, 2021

If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices.

Open Source 301

Open Source Traffic DevOps Cloud 301

Dynatrace

OCTOBER 17, 2023

The path to IT automation: Cloud migration, tool consolidation Boulogne Billancourt, France-based Odigo , for example, is using observability and IT automation to forward its mission: helping its global clients improve customer experience. We can react even before we have an incident in our systems,” Lascoux said. “We

Innovation 180

Innovation Monitoring Network Strategy 180

Dynatrace

JUNE 8, 2022

Azure provides a wide variety of cloud services with globally distributed applications. Running containers in the cloud is also a very popular use case for Azure. Because all these resources generate huge amounts of data in various locations, it makes it difficult to monitor. Observability in the cloud can be hard to achieve.

Azure 183

Azure Performance Infrastructure Cloud 183

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

APRIL 6, 2022

Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Dynatrace news.

DevOps 230

DevOps Innovation Infrastructure Analytics 230

Dynatrace

NOVEMBER 20, 2023

In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys.

AWS 208

AWS Artificial Intelligence Analytics Cloud 208

Dynatrace

JUNE 30, 2020

In my role as DevOps and Autonomous Cloud Activist at Dynatrace, I get to talk to a lot of organizations and teams, and advise them on how to speed up delivery while also increasing the delivery in order to minimize the impact on operations. We came up with list of four key questions, then answered and demoed in our recent webinar.

Lambda 174

Lambda Monitoring Cloud DevOps 174

Dynatrace

AUGUST 17, 2021

Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. Focused on delivering business value. Cultural shift.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. Focused on delivering business value. Cultural shift.

Architecture 244

Architecture Software Software Development 244

Dynatrace

SEPTEMBER 15, 2020

Stefano started his presentation by showing how much cost and performance optimization is possible when knowing how to properly configure your application runtimes, databases, or cloud environments: Correct configuration of JVM parameters can save up to 75% resource utilization while delivering same or better performance!

Performance 185

Performance Java Metrics Cloud 185

Dynatrace

APRIL 21, 2023

It helps our DevOps team respond and resolve systems’ problems faster,” Smith said. With observability eliminating the siloed views of the system and establishing a common means to observe, measure, and act on insights, agencies can boost cloud operations, innovate faster, and improve results. Register to listen to the webinar.

Innovation 182

Innovation Speed Artificial Intelligence Government 182

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. Chaos engineering answers this need so organizations can deliver robust, resilient cloud-native applications that can stand up under any conditions.

Engineering 224

Engineering Entertainment Cloud Infrastructure 224

Dynatrace

JULY 7, 2022

While microservices vs. monolithic architecture is a common debate, organizations have other considerations, like service-oriented architecture (SOA), tools, monitoring solutions, and potential migration issues. Additionally, a massive codebase can suffer from instability issues and bugs that directly affect other shared systems.

Architecture 199

Architecture Serverless Azure Programming 199

Dynatrace

JANUARY 19, 2022

Technology that helps teams securely regain control of complex, dynamic, ever-expanding cloud environments can be game-changing. Managing cloud complexity becomes critical as organizations continue to digitally transform. Over the past 18 months, the need to utilize cloud architecture has intensified.

Artificial Intelligence 179

Artificial Intelligence DevOps Performance Games 179

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments.

Performance 185

Performance DevOps Innovation Artificial Intelligence 185

Dynatrace

NOVEMBER 11, 2022

HCI typically includes an on-premises component that gives companies direct control over key aspects of their IT infrastructure, including cloud-based services. For organizations managing a hybrid cloud infrastructure , HCI has become a go-to strategy. Hyperconverged vs. cloud: Consider the differences.

Infrastructure 200

Infrastructure Storage Virtualization Network 200

Dynatrace

NOVEMBER 14, 2023

Dynatrace product marketing director of DevOps Saif Gunja hosted the 2023 State of SRE webinar. Joining Gunja for the webinar were SREs Danne Aguiar from Kyndryl, Hilliary Lipsig from Red Hat, and Stephen Townshend from SquaredUp.

Best Practices 191

Best Practices Engineering DevOps Software Engineering 191

Dynatrace

JULY 12, 2022

We pride ourselves on customer care and clean, safe facilities,” says Ken Schirrmacher, chief technology officer at Park ‘N Fly, during a webinar on the role of IT automation, AIOps, and observability at the company. We had lost some of the visibility [in moving to the cloud],” Schirrmacher recalls. “We Schirrmacher asks rhetorically.

Innovation 218

Innovation Infrastructure DevOps Azure 218

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. Cloud complexity leads to data silos Most organizations are battling cloud complexity.

DevOps 183

DevOps Analytics Storage Metrics 183

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. Monitoring begins here. Watch webinar now! Logs, metrics, and traces make up the bulk of all telemetry data.

Open Source 218

Open Source Metrics Cloud Transportation 218

Dynatrace

APRIL 21, 2022

As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. To guide organizations through their cloud migrations, Microsoft developed the Azure Well-Architected Framework. Understanding resource utilization for cost management.

Azure 187

Azure Monitoring Virtualization Metrics 187

Dynatrace

NOVEMBER 20, 2020

Other strengths include microservices, transaction, and customer experience (CX) monitoring, and intelligent analytics. Reference customers liked the flexibility of the system and the embedded intelligence layer.”. A radically different approach to AIOps.

Artificial Intelligence 249

Artificial Intelligence Serverless Analytics Innovation 249

Dynatrace

JUNE 15, 2021

Software reliability and resiliency don’t just happen by simply moving your software to a modern stack, or by moving your workloads to the cloud. The fact is, Reliability and Resiliency must be rooted in the architecture of a distributed system. There are several ways Dynatrace monitors and alerts on the impact of service disruption.

AWS 188

AWS Traffic Architecture Azure 188

Dynatrace

OCTOBER 22, 2020

Dynatrace automatically discovers all the subcomponents and dependencies across the cloud stack in real time, from applications and microservices to all components in the underlying infrastructure, pinpointing the root-cause of any issues, prioritizing by business impact, and providing precise, AI-driven answers. Let us show you.

Infrastructure 150

Infrastructure Cloud Metrics Code 150

Dynatrace

DECEMBER 23, 2021

This lack of precision can delay a team’s response and force them to use a best-guess approach and spend valuable time investigating, verifying, and prioritizing which systems are the most critical to patch first. A modern cloud observability platform with integrated AIOps offers a more holistic approach. At what scale?

Internet 212

Internet Internet Energy Open Source 212

Particular Software

JULY 18, 2017

I remember the first time I deployed a system into production. Once the system was deployed, I wanted to see if everything was working properly, so I ran through a simple checklist: Is my database up? (Yes/No) Yes/No) If the answers to these questions were all yes, then the system was working correctly.

Systems 56

Systems Monitoring Website Virtualization 56