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.

Azure 184

Azure Monitoring Virtualization Metrics 184

Dynatrace

SEPTEMBER 5, 2023

Cloud observability can bring business value, said Rick McConnell, CEO at Dynatrace. Organizations have clearly experienced growth, agility, and innovation as they move to cloud computing architecture. But without effective cloud observability, they continue to experience challenges in their cloud environments.

Cloud 219

Cloud Artificial Intelligence Innovation Azure 219

Scalegrid

JANUARY 8, 2024

Exploring artificial intelligence in cloud computing reveals a game-changing synergy. This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

JUNE 15, 2023

Cloud application security is becoming more of a critical issue as cloud-based applications gain popularity. The cloud allows a modular approach to building applications, enabling development and operations teams to create and deploy feature-rich apps very quickly. What is cloud application security?

Cloud 174

Cloud Open Source Architecture Monitoring 174

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

APRIL 1, 2021

Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer. Keeping track of performance, response time, and efficiency can be cumbersome, especially when teams use a multicloud strategy that spans cloud environments and on-premises systems. The benefit is scalability.

Azure 170

Azure AWS DevOps Cloud 170

Scalegrid

JANUARY 12, 2024

What is workload in cloud computing? Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. The environments, which were previously isolated, are now working seamlessly under central control.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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. VA’s journey into the cloud.

Cloud 174

Cloud Infrastructure Innovation Monitoring 174

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. You can find the complete matrix of our support here.

Serverless 203

Serverless Lambda Azure AWS 203

Dynatrace

MARCH 18, 2024

Overseeing cloud spend and IT resource allocation has always been a priority for CIOs. Yet, in 2023, 82% of cloud decision makers reported that managing cloud spend was their top challenge, according to one source. Teams provision and purchase many cloud services that end up underused or completely unused.

Best Practices 228

Best Practices Strategy Cloud AWS 228

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.

Cloud 258

Cloud Azure Analytics AWS 258

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 22, 2022

As more organizations invest in a multicloud strategy, improving cloud operations and observability for increased resilience becomes critical to keep up with the accelerating pace of digital transformation. American Family turned to observability for cloud operations. Step 2: Instrument compute and serverless cloud technologies.

Cloud 166

Cloud Lambda Serverless AWS 166

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

JANUARY 16, 2023

Modern, cloud-native computing is impossible to separate from containers and Kubernetes adoption. Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Kubernetes moved to the cloud in 2022. Kubernetes moved to the cloud in 2022.

Open Source 340

Open Source Java Operating System Programming 340

Dynatrace

JANUARY 31, 2024

Many organizations face significant challenges in pursuing their cloud migration initiatives, which often accompany or precede AI initiatives. Worse, the costs associated with GenAI aren’t straightforward, are often multi-layered, and can be five times higher than traditional cloud services. Service reliability.

Cache 201

Cache Azure Infrastructure Monitoring 201

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

FEBRUARY 9, 2022

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. This enables proactive AI-driven analysis and easy troubleshooting in serverless scenarios. Dynatrace news. New to Dynatrace?

Serverless 184

Serverless Azure Lambda AWS 184

Dynatrace

FEBRUARY 12, 2024

Observability for infrastructure Next up, Guido Deinhammer, CPO for infrastructure observability at Dynatrace, dove into the use case for observability across infrastructure and talked through new application offerings from Dynatrace. Dynatrace® Clouds app.

Engineering 179

Engineering Development Infrastructure Cloud 179

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. Organizations need a more proactive approach to log management to tame this proliferation of cloud data.

Best Practices 239

Best Practices Analytics Artificial Intelligence Infrastructure 239

Dynatrace

FEBRUARY 10, 2021

Lots of data intended to help and aid, but instead results in too much noise and unnecessary alerts due to the lack of intelligent root-cause analysis and transparency. Dynatrace launches Cloud Automation module for development, DevOps & SRE teams. All-in-one observability and enterprise-grade control plane.

Cloud 165

Cloud DevOps Speed Azure 165

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

MAY 19, 2021

Running workloads on top of Kubernetes is significantly valuable, not just for application teams, but for infrastructure teams as well. At the core of this approach is the Dynatrace AI engine, Davis ®, which automatically delivers an in-depth analysis and precise root cause whenever anomalies arise. More about Kubernetes.

Innovation 234

Innovation Azure Infrastructure Cloud 234

Dynatrace

JANUARY 5, 2022

In recent years, customer projects have moved towards complex cloud architectures, including dozens of microservices and different technology stacks which are challenging to develop, maintain, and optimize for resiliency. Each step is automated from provisioning infrastructure to problem analysis.

Testing 214

Testing Open Source Metrics Infrastructure 214

Dynatrace

SEPTEMBER 13, 2023

If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud.

AWS 243

AWS Efficiency Azure Cloud 243

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

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. This restriction made it impossible to totally export all traces from Apigee unless the sampling rate was below the maximum, in which case they could use Google Cloud Trace.

Open Source 190

Open Source Google Serverless Azure 190

Dynatrace

APRIL 21, 2022

Log data analysis. Cloud Foundry transition to Settings 2.0. Configuration API for AWS and Azure supporting services. You can now get a list of all AWS and Azure supporting services on your cluster, by current version, using the AWS credentials API and Azure credentials API respectively. Autonomous Cloud.

Azure 212

Azure Metrics AWS Monitoring 212

Dynatrace

AUGUST 24, 2020

Based on this analysis, these systems can take actions such as alerting or remediation. But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes. Get deep Kubernetes observability with cloud application view .

Analytics 237

Analytics Infrastructure AWS Operating System 237

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 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

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

SQL Performance

DECEMBER 17, 2019

One initial, easy step to moving your SQL Server on-premises workloads to the cloud is using Azure VMs to run your SQL Server workloads in an infrastructure as a service (IaaS) scenario. Azure VM Types and Series. These constrained Azure VMs have a suffix in the name that indicates the number of active vCPUs in the VM.

Azure 72

Azure Virtualization Servers Storage 72

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. Automatically detect all applications, services, processes, and infrastructure at the start. Serverless platforms. Service mesh.

Architecture 196

Architecture Serverless Azure Programming 196

The Morning Paper

FEBRUARY 27, 2020

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., This paper describes Gandalf, the software deployment monitor in production at Microsoft Azure for the past eighteen months plus. In Azure, most catastrophic issues happen within 1 hour after the rollout.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

Dynatrace

MARCH 16, 2022

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. The parameter Billed Duration is only available in logs , so it makes sense to extract it from your logs so that you can keep an eye on your cloud costs.

Metrics 210

Metrics Lambda Infrastructure Monitoring 210

Dynatrace

AUGUST 21, 2023

It’s so big that all three major cloud providers are building OpenTelemetry into their own platforms. Using the Trace Context standard, OpenTelemetry provides agreement about the fields and data types that determine the start and end of each span of a trace among endpoints, middleware, and the cloud services that connect them.

Open Source 192

Open Source Analytics Lambda Metrics 192