Dynatrace

APRIL 1, 2021

Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer. Cloud computing environments like AWS, Azure, and GCP offer a wide array of computing capabilities and capacity. They need a platform-agnostic way to monitor and manage performance across all of them seamlessly.

Azure 170

Azure AWS DevOps Cloud 170

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 136

Azure Artificial Intelligence Metrics Innovation 136

Dynatrace

APRIL 25, 2023

These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. Enable faster development and deployment cycles by abstracting away the infrastructure complexity.

Serverless 203

Serverless Lambda Azure AWS 203

Dynatrace

MARCH 18, 2024

Empowering teams to manage their FinOps practices, however, requires teams to have access to reliable multicloud monitoring and analysis data. Hyperscaler cloud service providers such as AWS, Microsoft Azure, and Google Cloud Platform can do this, too. They can send a notification saying, “This server is oversized.”

Best Practices 228

Best Practices Strategy Cloud AWS 228

Dynatrace

JANUARY 31, 2024

Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration. Estimates show that NVIDIA, a semiconductor manufacturer, could release 1.5 million AI server units annually by 2027, consuming 75.4+

Cache 201

Cache Azure Infrastructure Monitoring 201

Dynatrace

JUNE 7, 2023

This includes OpenAI as well as Azure OpenAI services, such as GPT-3, Codex, DALL-E, or ChatGPT. temperature: 0, max_tokens: 10, }); Once the AI application is started on a OneAgent-monitored server, the application is automatically detected, and the traces and metrics for all outgoing requests are collected.

Monitoring 162

Monitoring Latency Metrics Azure 162

Dynatrace

OCTOBER 30, 2023

Consolidate log management tools into a unified observability platform As businesses increasingly shift toward software-centric models, the number of specialized IT monitoring tools to manage cloud environments has proliferated. The first best practice is to consolidate log management with application monitoring in a single platform.

Best Practices 239

Best Practices Analytics Artificial Intelligence Infrastructure 239

Dynatrace

NOVEMBER 29, 2021

It also protects your development infrastructure at scale with enterprise-grade security. 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. Scale and manage infrastructure.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

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. The app offers a consolidated overview across data centers and all monitored hosts.

Engineering 179

Engineering Development Infrastructure Cloud 179

Dynatrace

APRIL 21, 2022

Log Monitoring documentation. Starting with Dynatrace version 1.239, we have restructured and enhanced our Log Monitoring documentation to better focus on concepts and information that you, the user, look for and need. Log Monitoring. Log data analysis. Legacy Log Monitoring v1 Documentation. Synthetic Monitoring.

Azure 212

Azure Metrics AWS Monitoring 212

Dynatrace

FEBRUARY 9, 2022

In addition to existing support for AWS Lambda , this support now covers Microsoft Azure Functions and Google Cloud Functions as well as managed Kubernetes environments, messaging queues, and cloud databases across all major cloud providers. This enables proactive AI-driven analysis and easy troubleshooting in serverless scenarios.

Serverless 184

Serverless Azure Lambda AWS 184

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. Dynatrace news.

Metrics 210

Metrics Lambda Infrastructure Monitoring 210

Dynatrace

MAY 19, 2021

Running workloads on top of Kubernetes is significantly valuable, not just for application teams, but for infrastructure teams as well. 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.

Innovation 234

Innovation Azure Infrastructure Cloud 234

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. Now, Dynatrace applies Davis, its AI engine, to monitor the new log sources.

Cloud 258

Cloud Azure Analytics AWS 258

Dynatrace

JUNE 20, 2023

Data is proliferating in separate silos from containers and Kubernetes to open source APIs and software to serverless compute services, such as AWS and Azure. In this case, the bank group could not rely solely on Google Cloud Trace because they needed to collect traces and monitor the applications across all their systems.

Open Source 190

Open Source Google Serverless Azure 190

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? The Site Reliability Guardian also helps keep your production environment safe and secure through automated change impact analysis.

AWS 243

AWS Efficiency Azure Cloud 243

Dynatrace

AUGUST 24, 2020

Observability and monitoring as a source of truth. To provide actionable answers monitoring systems store, baseline, and analyze telemetry data. Based on this analysis, these systems can take actions such as alerting or remediation. Monitoring your i nfrastructure. Dynatrace VMware and virtualization documentation .

Analytics 237

Analytics Infrastructure AWS Operating System 237

Dynatrace

AUGUST 21, 2023

If a microservice falls in the forest and all your monitoring solutions report it differently, can operators accurately trace what happened and automate a response? Different monitoring point solutions, such as Jaeger, Zipkin, Logstash, Fluentd, and StatsD, each have their own way of observing and recording such an event.

Open Source 192

Open Source Analytics Lambda Metrics 192

Scalegrid

JUNE 9, 2020

The open source model is not only popular with the developer market, but also enterprise companies looking to modernize their infrastructure and reduce spend. ScaleGrid’s advanced performance and broader feature set make it a compelling alternative for developers looking to run their database infrastructure on DigitalOcean.

Availability 227

Availability Open Source Benchmarking Database 227

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. Using GCF within a video analysis workflow. What is Google Cloud Functions? GCF use cases.

Google 218

Google Cloud Serverless Azure 218

Dynatrace

JANUARY 5, 2022

Therefore, we implemented Dynatrace in almost all major applications for our customers to gain visibility from end-user to code-level and to reduce time with problem fixing and pro-active scalability optimizations by using Dynatrace’s AI-based root cause analysis. Each step is automated from provisioning infrastructure to problem analysis.

Testing 214

Testing Open Source Metrics Infrastructure 214

Scalegrid

FEBRUARY 8, 2024

By integrating distributed storage solutions into their infrastructure, organizations can effectively manage increased data storage demands while maintaining optimal performance levels – a characteristic intrinsic to these systems’ design, enabling effortless scaling for handling greater quantities of stored content.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. What is the difference between monitoring and observability? Is observability really monitoring by another name? In short, no.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

APRIL 15, 2022

As organizations expand their cloud footprints, they are combining public, private, and on-premises infrastructures. But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. “We used Dynatrace to monitor that large increase in servers. Dynatrace news.

Cloud 174

Cloud Infrastructure Innovation Monitoring 174

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 174

Cloud Open Source Architecture Monitoring 174

Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. This is essential for operators to understand the health and behavior of the container infrastructure as well as the applications running in it. Built-in monitoring.

Open Source 298

Open Source Traffic DevOps Cloud 298

Dynatrace

FEBRUARY 13, 2020

Next-gen Infrastructure Monitoring. Next up, Steve introduced enhancements to our infrastructure monitoring module. Davis now automatically provides thresholds and baselining algorithms for all infrastructure performance and reliability metrics to easily scale infrastructure monitoring without manual configuration.

Performance 232

Performance Analytics Mobile Innovation 232

Dynatrace

JULY 23, 2020

With the advent and ingestion of thousands of custom metrics into Dynatrace, we’ve once again pushed the boundaries of automatic, AI-based root cause analysis with the introduction of auto-adaptive baselines as a foundational concept for Dynatrace topology-driven timeseries measurements. Synthetic monitor metrics. Dynatrace news.

Metrics 207

Metrics Innovation Strategy Monitoring 207

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

APRIL 22, 2022

At Dynatrace Perform 2022 , Technology Services Manager Thomas Janik and AWS Monitoring SME Matt Gault, both from American Family, explain how they boosted their cloud operations to increase resilience. American Family turned to Dynatrace to help them monitor complex environments without the hassle.

Cloud 166

Cloud Lambda Serverless AWS 166

Dynatrace

NOVEMBER 20, 2023

 Using fault-tree analysis, this kind of AI provides critical detail about how its models arrive at a given conclusion. Cloud migration to AWS and other cloud environments enables IT teams to enlist public cloud infrastructure so they can innovate without getting entrenched in managing IT infrastructure as the organization scales.

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Dynatrace

MAY 17, 2023

With that, we could make use of the full set of OpenTelemetry’s features to instrument and monitor our applications in the Dynatrace back end, including traces with spans and metrics. OneAgent is the native telemetry data collector and monitoring solution of Dynatrace.

Metrics 168

Metrics Monitoring Database Network 168

Dynatrace

OCTOBER 4, 2022

Data lakehouses take advantage of low-cost object stores like AWS S3 or Microsoft Azure Blob Storage to store and manage data cost-effectively. A dynamic map of interactions and relationships between applications and the underlying infrastructure also helps to zoom in and out of an issue at different stages of analysis.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

Dynatrace

SEPTEMBER 5, 2023

They need solutions such as cloud observability — the ability to measure a system’s current state based on the data it generates—to help them tame cloud complexity and better manage their applications, infrastructure, and data within their IT landscapes. According to a recent Forbes articles, Internet users are creating 2.5

Cloud 219

Cloud Artificial Intelligence Innovation Azure 219

Scalegrid

JANUARY 8, 2024

AI-driven cloud solutions like ScaleGrid offer a diverse range of database hosting options, robust infrastructure optimized for scalability and security, and enable significant cost reductions, supporting businesses in efficient growth and improved ROI.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

AUGUST 24, 2020

Observability and monitoring as a source of truth . To provide actionable answers monitoring systems store, baseline, and analyze telemetry data. Based on th is analysis , these systems can take actions such as alerting or remediation. Monitoring your i nfrastructure . OneAgent and its Operator .

Analytics 134

Analytics Infrastructure AWS Operating System 134

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Mobile apps, websites, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148