Dynatrace

OCTOBER 21, 2020

Observability has become a hot topic these days in the world of monitoring. In this video series, Nancy Gohring, Senior Analyst at 451 Research , answers your questions about observability and application monitoring. What is observability and how is it different from traditional monitoring? Blog post: What is? OpenTelemetry??Everything

Strategy 246

Strategy Monitoring Cloud Infrastructure 246

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.

Google 218

Google Cloud Serverless Azure 218

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 205

Analytics Monitoring Artificial Intelligence DevOps 205

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 163

Cloud Traffic Best Practices Strategy 163

Dynatrace

SEPTEMBER 8, 2022

Most infrastructure and applications generate logs. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. This is critical to ensure high performance, security, and a positive user experience for cloud-native applications and services.

Systems 183

Systems Cloud Analytics DevOps 183

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.

AWS 130

AWS Cloud Serverless DevOps 130

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 175

Monitoring Latency Metrics Availability 175

Dynatrace

APRIL 21, 2023

In the recent webinar, Good to great: Case studies in excellence on state and local government transformations, Tammy Zbojniewicz, enterprise monitoring and service delivery owner within Michigan’s Department of Technology, Management, and Budget (DTMB), illustrates that meeting both objectives is possible.

Government 159

Government Infrastructure Innovation Monitoring 159

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 180

Azure Performance Infrastructure Cloud 180

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 176

Monitoring Latency Mobile Best Practices 176

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.

Cloud 170

Cloud DevOps Code Open Source 170

Dynatrace

DECEMBER 14, 2023

Dynatrace provides powerful AI-based observability, putting all your infrastructure, applications, and events in context. Combining Dynatrace, Snyk, and AWS creates a robust ecosystem for developing, deploying, monitoring, and securing modern applications. It’s a one-stop-shop for enhancing your cloud security,” he said.

AWS 258

AWS Innovation Speed Efficiency 258

Percona

FEBRUARY 24, 2023

If you’re using PostgreSQL in the cloud, there’s a good chance you’re spending more than you need in order to get the results you need for your business. Usage reduction: What to look for to reduce PostgreSQL cloud costs The first step in cost reduction is to use what you need and not more. Don’t pay for capacity you don’t use or need.

Cloud 123

Cloud Serverless AWS Storage 123

Dynatrace

FEBRUARY 2, 2022

Dynatrace SaaS availability on Azure helps the world’s largest organizations achieve this through enabling faster cloud adoption and more effective digital transformation. This enables organizations to tame cloud complexity, minimize risk, and reduce manual effort so teams can focus on driving innovation.

Azure 319

Azure Availability Hardware Innovation 319

Dynatrace

JULY 11, 2023

IBM Power servers enable customers to respond faster to business demands, protect data from core to cloud, and streamline insights and automation. Full stack observability: Gain comprehensive observability across the entire stack, including Kubernetes clusters, applications, and underlying infrastructure.

Architecture 167

Architecture Availability Infrastructure Metrics 167

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 228

DevOps Innovation Infrastructure Analytics 228

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 298

Open Source Traffic DevOps Cloud 298

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. However, the move to microservices comes with its own challenges and complexities.

Architecture 228

Architecture Artificial Intelligence Cloud Open Source 228

Dynatrace

JANUARY 25, 2020

This means that you should ask the following: Does your monitoring solution work with SAP both on-premise and within cloud infrastructure ? How about SAP hosted on private and public clouds ? Cover all your monitoring needs across your entire SAP product portfolio with Dynatrace.

Monitoring 142

Monitoring Performance C++ Infrastructure 142

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

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 258

Development DevOps Programming Cloud 258

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 206

AWS Artificial Intelligence Analytics Cloud 206

Dynatrace

APRIL 21, 2023

As an application architect, Smith noted it was challenging to ensure software quality and performance when making large-scale changes, including a cloud infrastructure migration and front-end modernization to their unemployment insurance application. Register to listen to the webinar. The stakes were high.

Government 201

Government Strategy Cloud Traffic 201

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

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. AIOps and observability for infrastructure management. It’s not easy to see what’s going on within your environment.”

Innovation 216

Innovation Infrastructure DevOps Azure 216

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 182

Performance DevOps Innovation Artificial Intelligence 182

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 184

Azure Monitoring Virtualization Metrics 184

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 176

Artificial Intelligence DevOps Performance Games 176

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 221

Engineering Entertainment Cloud Infrastructure 221

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. Additional complexity and monitoring challenges. As part of that complexity, monitoring microservices can become a challenge.

Architecture 196

Architecture Serverless Azure Programming 196

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 180

DevOps Analytics Storage Metrics 180

Dynatrace

NOVEMBER 20, 2020

Other strengths include microservices, transaction, and customer experience (CX) monitoring, and intelligent analytics. Machine learning models also take time to build, which makes it difficult for them to pivot and scale with dynamic cloud-native environments. A radically different approach to AIOps.

Artificial Intelligence 246

Artificial Intelligence Serverless Analytics Innovation 246

Dynatrace

SEPTEMBER 30, 2020

The most successful organizations know that developing and deploying strategic workloads to the cloud in an efficient and effective manner is a great place to start innovating. Yet, migrating to the cloud at faster speeds without the right amount of visibility is similar to driving a sports car at midnight in a storm with no headlights!

Innovation 149

Innovation Speed Virtualization Infrastructure 149

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

OCTOBER 15, 2021

As a Cloud Native Computing Foundation (CNCF) incubating project, OTel aims to provide unified sets of vendor-agnostic libraries and APIs — mainly for collecting data and transferring it somewhere. Capturing data is critical to understanding how your applications and infrastructure are performing at any given time. Watch webinar now!

Open Source 216

Open Source Metrics Cloud Transportation 216

Dynatrace

MAY 21, 2021

If you are wondering what a service mesh is and whether you would benefit from having one, you likely have a mature Kubernetes environment running large cloud-native applications. A service mesh is a dedicated infrastructure layer built into an application that controls service-to-service communication in a microservices architecture.

Traffic 238

Traffic DevOps Infrastructure Network 238

Dynatrace

AUGUST 9, 2023

Likewise, operation specialists can prioritize their efforts on monitoring the highest-risk tactics, and executives can better communicate the business risk. Falco is an open-source, cloud-native security tool that utilizes the Linux kernel technology  eBPF , to generate fine-grained networking, security, and observability events.

Analytics 192

Analytics AWS Strategy Infrastructure 192