Dynatrace

NOVEMBER 5, 2019

Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace. Do I need more than Azure Monitor? Azure Monitor features. Log Agent Installation – Collects logs from the virtual machines. Dynatrace does this by querying Azure monitor APIs to collect platform metrics.

Azure 139

Azure Artificial Intelligence Metrics Innovation 139

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. Support virtual machines and containers. Optimize critical applications’ performance.

Infrastructure 187

Infrastructure Cloud Azure AWS 187

Dynatrace

NOVEMBER 11, 2022

More organizations are adopting a hybrid IT environment, with data center and virtualized components. Instead of treating storage, server, compute, and network functions as separate entities, HCI virtualizes these resources. Popular HCI vendors include Nutanix Acropolis, NetApp HCI, Cisco HyperFlex, and Microsoft Azure Stack HCI.

Infrastructure 206

Infrastructure Storage Virtualization Network 206

Dynatrace

JANUARY 16, 2023

Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines.

Open Source 347

Open Source Java Operating System Programming 347

SQL Performance

NOVEMBER 18, 2019

Migrating an on-premises SQL Server instance to an Azure Virtual Machine (VM) is a common method to migrate to Azure. You'll see the types referenced as Family in the Azure Portal when sizing a VM. You'll see the types referenced as Family in the Azure Portal when sizing a VM. VM Types and Sizes. Generation.

Azure 76

Azure Benchmarking Storage Virtualization 76

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

JULY 30, 2021

Last week we kicked it off with a three-hour virtual hands-on workshop. The initial plan was to do it onsite in Ohio, but – I guess I don’t have to tell you why – we decided to start virtual first. Build a dashboard, the let Cloud Automation automate the analysis for you! Hands-on 2: Codify your SLOs.

Cloud 214

Cloud DevOps Azure Virtualization 214

Scalegrid

FEBRUARY 8, 2024

Amazon S3 and Microsoft Azure Blob Storage leverage distributed storage solutions. Massively Scalable Storage Services Microsoft Azure Blob Storage and Amazon S3 harness the power of distributed storage to ensure they can handle unstructured data efficiently.

Storage 130

Storage Systems Big Data Azure 130

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 227

Google Cloud Serverless Azure 227

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. For example, a virtual machine (VM) can replace containers to design and architect microservices. Serverless platforms. Service mesh.

Architecture 206

Architecture Serverless Azure Programming 206

Scalegrid

JANUARY 12, 2024

Key Takeaways A cloud workload encompasses any application or service running on a cloud infrastructure, facilitating tasks ranging from basic functions to advanced data analysis with the help of resources like databases, collaboration tools, and disaster recovery systems. This applies to both virtual machines and container-based deployments.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

AUGUST 24, 2020

Based on this analysis, these systems can take actions such as alerting or remediation. Similarly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. Dynatrace VMware and virtualization documentation . Dynatrace root cause analysis documentation .

Analytics 246

Analytics Infrastructure AWS Operating System 246

Dynatrace

JULY 10, 2019

OneAgents are optimized to send data to the Dynatrace servers with the smallest possible impact, querying the metrics every minute, and the data is a first-class citizen for the Dynatrace AI root-cause analysis. Dynatrace provides out-of-the-box support for VMware, AWS, Azure, Pivotal Cloud Foundry, and Kubernetes.

Java 140

Java Best Practices Metrics Azure 140

Dynatrace

APRIL 15, 2022

Organizations hit this cloud operations wall when replacing static virtual machines with dynamic container orchestration and expanding to multicloud environments. “We recently made great strides to improve our analysis views to give our customers even more value.” We started out by instrumenting 2,000 servers overnight.

Cloud 182

Cloud Infrastructure Innovation Monitoring 182

Dynatrace

NOVEMBER 12, 2021

What they’re missing is true causal analysis. And it has to start sending those key telemetry points and do the analysis automatically. Agencies need something that can parse billions of dependencies; something that can scale to handle tens of thousands of devices; something that can easily perform root cause analysis.

Cloud 177

Cloud Monitoring Network Azure 177

Dynatrace

SEPTEMBER 4, 2020

It’s a free virtual event so I hope you join me. Next time Keptn must evaluate SLIs/SLOs for either quality gates, performance analysis after a performance test, or during auto-remediation, it will pull the metrics from that dashboard. This approach allows every team to easily define their own dashboard for their own SLIs/SLOs.

DevOps 249

DevOps Metrics Innovation Azure 249

Scalegrid

JANUARY 8, 2024

Artificial intelligence can automate tasks ranging from: data analysis resource provisioning system maintenance decision-making natural language processing This not only improves accuracy and reliability but also frees up valuable time for IT teams to focus on strategic tasks, such as resource management on platforms like Google Cloud.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

NOVEMBER 23, 2020

Nevertheless, there are related components and processes, for example, virtualization infrastructure and storage systems (see image below), that can lead to problems in your Kubernetes infrastructure. Such analysis must provide actionable answers with anomaly root-cause detection and automated remediation actions based on collected data.

Virtualization 162

Virtualization Infrastructure Monitoring Cloud 162

Dynatrace

MAY 28, 2020

Now, while we’ve been pushing these concepts in Keptn we haven’t explained well enough how to level-up your existing load testing scripts for better SLI monitoring and how to integrate them with Dynatrace in order to reap all the benefits of SLI-based Performance Analysis. This is what this blog is all about.

Engineering 195

Engineering Performance Metrics Best Practices 195

O'Reilly

FEBRUARY 18, 2020

Along with R , Python is one of the most-used languages for data analysis. there’s a Python library for virtually anything a developer or data scientist might need to do. In the generic software architecture topic, usage in the containers topic increased in our 2019 analysis, growing by 17%. Cloud continuing to climb.

Software Architecture 132

Software Architecture DevOps Data Engineering Architecture 132

Dynatrace

AUGUST 24, 2020

Based on th is analysis , these systems can take actions such as alerting or remediation. Similar ly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. . Dynatrace VMware and virtualization documentation . OneAgent and its Operator .

Analytics 135

Analytics Infrastructure AWS Operating System 135

O'Reilly

MAY 19, 2020

AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. It encompasses private clouds, the IaaS cloud—also host to virtual private clouds (VPC)—and the PaaS and SaaS clouds.

Cloud 141

Cloud Serverless AWS Architecture 141

Dynatrace

APRIL 17, 2019

In a sea of virtualized layers of abstraction, shared services, and dependencies, the cloud has become increasingly complex. Our platform needed a full-stack approach, including virtual network infrastructure, containers, applications, and users. We knew APM was critical but no longer enough. We needed to go beyond APM.

Innovation 137

Innovation Virtualization Cloud Azure 137

Brendan Gregg

FEBRUARY 28, 2023

## References I've reproduced the references from my SREcon22 keynote below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 110

Performance Latency Cache Virtualization 110

Dynatrace

JUNE 1, 2021

Root-cause and impact analysis of application performance problems and business outcomes for faster, more reliable incident resolution. Business KPIs and user journey analysis (for example, login to check out) to optimize user experiences and provide transparency into how changes impact KPIs. These capabilities extend into many areas.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

O'Reilly

SEPTEMBER 15, 2021

Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. As we’ll see later, cloud certifications (specifically in AWS and Microsoft Azure) were the most popular and appeared to have the largest effect on salaries. Many respondents acquired certifications.

Azure 145

Azure Social Media Programming AWS 145

Brendan Gregg

FEBRUARY 28, 2023

References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 52

Performance Latency Cache Virtualization 52

Adrian Cockcroft

APRIL 5, 2023

This would open up opportunities to leverage existing performance monitoring tools and dashboards, extend optimization tools like autoscalers and schedulers, and to build new kinds of carbon analysis and optimization tools and services. Carbon measurements are by their nature imprecise and based on estimates and models that include variation.

Energy 52

Energy Metrics Cloud Operating System 52

O'Reilly

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Data analysis showed a similar pattern: 70% total; 32% using AI, 38% experimenting with it. Using generative AI tools for tasks related to programming (including data analysis) is nearly universal.

Open Source 106

Open Source Artificial Intelligence Google Infrastructure 106

ScaleOut Software

JULY 19, 2021

This data is also periodically uploaded to a data lake for offline batch analysis that calculates key statistics and looks for big trends that can help optimize operations. Hosted on a cluster of physical or virtual servers, it maintains memory-based state information about the history and dynamically evolving state of every data source.

IoT 78

IoT Analytics Big Data Architecture 78

Adrian Cockcroft

NOVEMBER 13, 2023

However if you have a containerized workload that you are measuring with Kepler , or a cloud instance based workload that is running in virtual machines, you measure your carbon footprint based on how many and how big the containers and instances are, and how busy their CPUs are. they are never really idle.

Energy 52

Energy Cloud Traffic Transportation 52

SQL Server According to Bob

JULY 13, 2016

Over the years this product has grown into a complete data platform including Reporting Services, Analysis Services, Integration Services, more tools, Replication, R Services, and much more. In addition, the Download Media option includes a link to create a virtual machine in Azure for SQL Server 2016. One other important note.

Servers 40

Servers Media Engineering Virtualization 40