Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. What is the difference between monitoring and observability? Is observability really monitoring by another name? What is observability? In short, no.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

MARCH 16, 2022

Over the last year, Dynatrace extended its AI-powered log monitoring capabilities by providing support for all log data sources. We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks.

Metrics 203

Metrics Lambda Infrastructure Monitoring 203

Dynatrace

APRIL 25, 2023

As companies accelerate digital transformation, they implement modern cloud technologies like serverless functions. According to Flexera , serverless functions are the number one technology evaluated by enterprises and one of the top five cloud technologies in use at enterprises.

Serverless 196

Serverless Lambda Azure AWS 196

Dynatrace

MAY 20, 2020

Dynatrace collects a huge number of metrics for each OneAgent-monitored host in your environment. Depending on the types of technologies you’re running on individual hosts, the average number of metrics is about 500 per computational node. Creating customized metric reports. GET /metrics.

Metrics 216

Metrics Operating System Tuning Monitoring 216

Dynatrace

NOVEMBER 5, 2019

With the increase in the adoption of cloud technologies, there’s now a huge demand for monitoring cloud-native applications, including monitoring both the cloud platform and the applications themselves. Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace.

Azure 134

Azure Artificial Intelligence Metrics Innovation 134

Dynatrace

JULY 6, 2020

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. Azure Batch. Azure DB for MariaDB. Azure DB for MySQL.

Azure 144

Azure Cloud Big Data Virtualization 144

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 198

Analytics Monitoring Artificial Intelligence DevOps 198

Dynatrace

MARCH 18, 2024

FinOps aligns technology initiatives with business objectives while maintaining financial transparency and accountability to reduce unnecessary cloud spend and lower costs. Empowering teams to manage their FinOps practices, however, requires teams to have access to reliable multicloud monitoring and analysis data.

Best Practices 221

Best Practices Strategy Cloud AWS 221

Dynatrace

JUNE 7, 2023

This includes OpenAI as well as Azure OpenAI services, such as GPT-3, Codex, DALL-E, or ChatGPT. It shows critical SLOs for latency and availability, as well as the most important OpenAI generative AI service metrics, such as response time, error count, and the overall number of requests.

Monitoring 157

Monitoring Latency Metrics Azure 157

Dynatrace

JANUARY 31, 2024

It requires specialized talent, a new technology stack to manage and deploy models, an ample budget for rising compute costs, and end-to-end security. For production models, this provides observability of service-level agreement (SLA) performance metrics, such as token consumption, latency, availability, response time, and error count.

Cache 196

Cache Azure Infrastructure Monitoring 196

Dynatrace

NOVEMBER 29, 2021

Self-hosted Kubernetes installations or services — such as Amazon EKS, Azure Kubernetes Service, or the Google Kubernetes Engine — make it possible for enterprises to select and implement best-fit functions. is built on the most popular Linux container technology, Docker. OpenShift key features and benefits. OpenShift 3.0

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. New cloud-native technologies make observability more important than ever….

Analytics 151

Analytics Technology Technology Cloud 151

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Dynatrace news. Connecting data siloes requires daunting integration endeavors.

Cloud 254

Cloud Azure Analytics AWS 254

Dynatrace

JANUARY 26, 2021

The phrase “serverless computing” appears contradictory at first, but for years now, successful companies have understood the benefit of using serverless technologies to streamline operations and reduce costs. Inefficiencies cost technology companies up to $100 billion per year. Dynatrace news.

Serverless 239

Serverless Efficiency Lambda Azure 239

Dynatrace

SEPTEMBER 13, 2023

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? Workflows are powered by a core platform technology of Dynatrace called the AutomationEngine.

AWS 236

AWS Efficiency Azure Cloud 236

Dynatrace

JANUARY 23, 2024

At this year’s Perform, we are thrilled to have our three strategic cloud partners, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), returning as both sponsors and presenters to share their expertise about cloud modernization and observability of generative AI models.

Cloud 201

Cloud Artificial Intelligence Performance AWS 201

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 189

Architecture Serverless Azure Programming 189

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 163

Metrics Monitoring Database Network 163

Dynatrace

APRIL 22, 2022

When American Family Insurance took the multicloud plunge, they turned to Dynatrace to automate Amazon Web Services (AWS) event ingestion, instrument compute and serverless cloud technologies, and create a single workflow for unified event management. Step 1: Automate AWS metrics ingestion with Dynatrace.

Cloud 161

Cloud Lambda Serverless AWS 161

Dynatrace

DECEMBER 2, 2021

Symptoms : No data is provided for affected metrics on dashboards, alerts, and custom device pages populated by the affected extension metrics. Infrastructure Monitoring. Settings > Maintenance windows > Monitoring, alerting and availability. Infrastructure Monitoring. Log Monitoring. Dashboards.

Lambda 183

Lambda Azure Metrics Monitoring 183

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. Avoid lock-in with open-source technologies. What is Google Cloud Functions?

Google 211

Google Cloud Serverless Azure 211

Dynatrace

NOVEMBER 20, 2023

While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up. It’s being recognized around the world as a transformative technology for delivering productivity gains. What is artificial intelligence?

AWS 200

AWS Artificial Intelligence Analytics Cloud 200

Dynatrace

MAY 19, 2022

Organizations have multiple stakeholders and almost always have different teams that set up monitoring, operate systems, and develop new functionality. The monitoring team set up the dashboard, so who owns violations? The metrics behind the four signals vary by row. A world of misunderstandings.

Automotive 260

Automotive Latency Architecture Azure 260

Dynatrace

JUNE 28, 2019

As a full stack monitoring platform, Dynatrace collects a huge number of metrics for each OneAgent monitored host in your environment. Depending on the types of technologies you’re running on your individual hosts, the average number of metrics is about 500 per computational node. Dynatrace news.

Metrics 101

Metrics Efficiency Monitoring Azure 101

Dynatrace

JUNE 29, 2022

Five available hybrid cloud platforms from the top public cloud providers include the following: Azure Stack : Consumers can access different Azure cloud services from their own data center and build applications for Azure cloud. Automate observability and monitoring. Optimize critical applications’ performance.

Infrastructure 172

Infrastructure Cloud Azure AWS 172

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. In a nutshell, they are complementary and, in part, overlapping technologies to create, manage, and operate containers. Dynatrace news. But first, some background.

Open Source 290

Open Source Traffic DevOps Cloud 290

Dynatrace

AUGUST 24, 2020

Observability and monitoring as a source of truth. To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. To provide actionable answers monitoring systems store, baseline, and analyze telemetry data.

Analytics 231

Analytics Infrastructure AWS Operating System 231

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. Teams can become leading experts on the technologies they develop.

Architecture 246

Architecture Software Software Development 246

Dynatrace

FEBRUARY 16, 2023

That’s why, in part, major cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform are discussing cloud optimization. Traditional cloud monitoring methods can no longer scale to meet organizations’ demands, as multicloud architectures continue to expand. But it is also about process automation.

Artificial Intelligence 183

Artificial Intelligence Analytics Cloud Innovation 183

Dynatrace

AUGUST 16, 2021

Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Automating lifecycle orchestration including monitoring, remediation, and testing across the entire software development lifecycle (SDLC). Topics in this blog series. Kubernetes pod attributes.

Software 245

Software Software Open Source Azure 245

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. Teams can become leading experts on the technologies they develop.

Architecture 241

Architecture Software Software Development 241

Dynatrace

FEBRUARY 12, 2024

With Dynatrace, organizations can easily define everything pertaining to observability, security, ownership, synthetic monitoring, and automation workflows using simple configuration files, which also ensure a persistent configuration state. These standards can be custom for specific teams, technologies, or criticalities.

Engineering 172

Engineering Development Infrastructure Cloud 172

Dynatrace

JULY 30, 2021

With all the technology changes through the past three years, with the world moving to K8s, the rise of GitOps, everything as code, event-driven automation, and many new open standards in the cloud-native space, it was time to update our workshop. Last week we kicked it off with a three-hour virtual hands-on workshop.

Cloud 211

Cloud DevOps Azure Virtualization 211

Dynatrace

MAY 19, 2021

However, while Kubernetes can help teams monitor the health of their environments and restart failed applications, the platform has limited visibility into the internal state of those applications. Importantly, Kubernetes also enables developers to build, deliver, and update microservices-based applications flexibly, reliably, and quickly.

Innovation 229

Innovation Azure Infrastructure Cloud 229

Dynatrace

FEBRUARY 13, 2020

With this announcement: Davis now automatically ingests additional Kubernetes events and metrics, including state changes, workload changes and critical events across clusters, containers and runtimes. Next-gen Infrastructure Monitoring. Next up, Steve introduced enhancements to our infrastructure monitoring module.

Performance 224

Performance Analytics Mobile Innovation 224

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. Their technology stack looks like this: Spring Boot-based Microservices. Dynatrace news. Full-stack observability.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Dynatrace

NOVEMBER 2, 2023

Establish a FinOps culture that supports buy-in from all stakeholders, as well as metrics that all teams understand and use. Public, private, and hybrid cloud computing platforms such as Microsoft Azure and Google Cloud provide access, development, and management of cloud applications and services.

Cloud 184

Cloud Strategy Retail Energy 184