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 317

Azure Availability Hardware Innovation 317

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. Metrics, logs , and traces make up three vital prongs of modern observability. Why log management matters for your organization.

Systems 180

Systems Cloud Analytics DevOps 180

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. Capturing data is critical to understanding how your applications and infrastructure are performing at any given time. Watch webinar now!

Open Source 212

Open Source Metrics Cloud Transportation 212

Dynatrace

SEPTEMBER 28, 2021

The emerging concepts of working with DevOps metrics and DevOps KPIs have really come a long way. DevOps metrics to help you meet your DevOps goals. Like any IT or business project, you’ll need to track critical key metrics. Here are nine key DevOps metrics and DevOps KPIs that will help you be successful.

DevOps 192

DevOps Metrics Traffic Efficiency 192

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 167

Cloud DevOps Code Open Source 167

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 255

Development DevOps Programming Cloud 255

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. These challenges make Azure observability critical for building and monitoring cloud-native applications. Observability in the cloud can be hard to achieve.

Azure 177

Azure Performance Infrastructure Cloud 177

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 118

Cloud Serverless AWS Storage 118

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. Watch webinar now!

DevOps 225

DevOps Innovation Infrastructure Analytics 225

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 164

Architecture Availability Infrastructure Metrics 164

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. Register to listen to the webinar.

Government 156

Government Infrastructure Innovation Monitoring 156

Dynatrace

NOVEMBER 3, 2023

The practice of platform engineering has evolved alongside the increasing complexity of cloud environments. The result is a cloud-native approach to software delivery. A platform encompasses a set of tools, services, and infrastructure that enables developers to build, test, and deploy software applications.

Engineering 204

Engineering DevOps Software Engineering Scalability 204

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 294

Open Source Traffic DevOps Cloud 294

Dynatrace

AUGUST 11, 2022

Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. Cloud providers then manage physical hardware, virtual machines, and web server software management.

Development 243

Development Serverless Best Practices Lambda 243

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 224

Architecture Artificial Intelligence Cloud Open Source 224

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 212

Innovation Infrastructure DevOps Azure 212

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 203

AWS Artificial Intelligence Analytics Cloud 203

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 177

DevOps Analytics Storage Metrics 177

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 202

Analytics Monitoring Artificial Intelligence DevOps 202

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. Cost optimization. Operational excellence.

Azure 181

Azure Monitoring Virtualization Metrics 181

Dynatrace

JULY 7, 2022

Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions. Monitoring and alerting tools and protocols help simplify observability for all custom metrics. Serverless platforms. Service mesh.

Architecture 192

Architecture Serverless Azure Programming 192

Dynatrace

DECEMBER 2, 2021

These can include business metrics, such as conversion rates, uptime, and availability; service metrics, such as application performance; or technical metrics, such as dependencies to third-party services, underlying CPU, and the cost of running a service. Watch webinar now! What are SLIs? Why are SLOs important?

Metrics 184

Metrics Best Practices DevOps Infrastructure 184

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 234

Traffic DevOps Infrastructure Network 234

Dynatrace

NOVEMBER 20, 2020

That embedded intelligence layer is what cuts through cloud complexity to automatically pinpoint an anomaly in a serverless app, Kubernetes pod, or cloud instance, and provides answers that are accurate and reliable enough to trigger auto-remediation procedures before users are affected.

Artificial Intelligence 242

Artificial Intelligence Serverless Analytics Innovation 242

Dynatrace

FEBRUARY 15, 2023

Especially when seamless end-to-end solutions are needed, it’s necessary to add relevant business context to data to unlock the value of insights that are hidden in the vast amount of observability, security, and business data derived from modern clouds, and overcome the challenges of data that’s locked in organizational silos.

Government 159

Government Serverless Analytics Metrics 159

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 149

Infrastructure Cloud Metrics Code 149

Dynatrace

MAY 27, 2021

CD is the next step in the process that automates the delivery of applications to selected infrastructure environments, such as a development environment for a related feature, or testing environments to verify feature functionality and proper integration with other parts of the software. What are the benefits of continuous delivery?

Best Practices 130

Best Practices DevOps Open Source Cloud 130

Dynatrace

DECEMBER 22, 2021

Observability is made up of three key pillars: metrics, logs, and traces. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Observability tools, such as metrics monitoring, log viewers, and tracing applications, are relatively small in scope.

Artificial Intelligence 171

Artificial Intelligence Metrics Architecture DevOps 171

Dynatrace

JANUARY 13, 2022

Real user monitoring collects data on a variety of metrics. For example, data collected on load actions can include navigation start, request start, and speed index metrics. Real user monitoring works by injecting code into an application to capture metrics while the application is in use. Watch webinar now!

Monitoring 173

Monitoring Latency Mobile Best Practices 173

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

NOVEMBER 15, 2021

But cloud transformation makes detecting the epicenter of a failure much more challenging, as outages can be caused by your cloud provider, a third party helping deliver personalized experiences, your content delivery network (CDN), and many other services you may be leveraging. No constraints in form input fields. Break down silos.

Mobile 210

Mobile Social Media Monitoring Metrics 210

Dynatrace

OCTOBER 4, 2021

API monitoring captures and analyzes metrics that describe the vital aspects of an application’s performance, which can help developers gain a deeper understanding of the health and efficiency of the APIs they’re utilizing. Watch webinar now! The need for API monitoring. Ways to monitor APIs.

Monitoring 171

Monitoring Latency Metrics Availability 171

Dynatrace

AUGUST 9, 2023

In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts. 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 188

Analytics AWS Strategy Infrastructure 188

Dynatrace

MAY 21, 2023

Log forensics—investigating security incidents based on log data—has become more challenging as organizations adopt cloud-native technologies. Organizations are increasingly turning to these cloud environments to stay competitive, remain agile, and grow. Without visibility, application performance and security are easily compromised.

Analytics 224

Analytics Metrics Cloud Systems 224

Dynatrace

DECEMBER 16, 2021

In the workshop, I also answered the question: How can we measure those metrics (=SLIs) that are behind our objectives? Whether its our Metrics Ingest API or building a Dynatrace Extension. For our SLO the only thing we need is the default Mobile Crash Rate metric. In Dynatrace that’s easy: App Adoption Rate. App Rating.

DevOps 197

DevOps Social Media Mobile Metrics 197

Tasktop

APRIL 11, 2022

The biggest organizations in the world are pivoting to a product-centric operating model,” opens Charles Betz , Principal Analyst at Forrester, on a recent webinar. How do you transform an infrastructure functional team into a platform team? Watch the full webinar. Two very different levels of investment.

Design 52

Design Infrastructure Metrics Innovation 52

Dynatrace

OCTOBER 14, 2021

Modern AIOps: Modern AIOps solutions are built for dynamic clouds and software delivery life cycle (SDLC) automation because they combine full-stack observability with a deterministic AI engine that can yield precise, continuous, and actionable insights in real time. The deviating metric is response time. Why is AIOps needed?

Artificial Intelligence 205

Artificial Intelligence DevOps Innovation Metrics 205