Dynatrace

FEBRUARY 13, 2020

Echoing John Van Siclen’s sentiments from his Perform 2020 keynote, Steve cited Dynatrace customers as the inspiration and driving force for these innovations. “A Highlighting the company’s announcements from Perform 2020, Steve and a team of other Dynatrace product leaders introduced the audience to several of our latest innovations.

Performance 235

Performance Analytics Mobile Innovation 235

Dynatrace

NOVEMBER 11, 2021

According to Forrester Research, the COVID-19 pandemic fueled investment in “hyperscaler public clouds”—Amazon Web Services (AWS), Google Cloud Platform and Microsoft Azure. According to a data from Dimensional Research, 95% of respondents say visibility problems have prompted an application or network performance issue.

AWS 212

AWS Cloud Lambda Azure 212

Dynatrace

OCTOBER 15, 2020

Therefore, it’s imperative that you ensure the continuous availability and high performance of your applications from your end users’ point of view. With Synthetic Monitoring, you can easily check the availability and performance of your applications as well as your APIs. New Google Cloud Platform locations.

Monitoring 183

Monitoring Cloud Azure AWS 183

Brendan Gregg

FEBRUARY 28, 2023

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! Or even on a plane.

Performance 110

Performance Latency Cache Virtualization 110

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. 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.

Cache 204

Cache Azure Infrastructure Monitoring 204

Dynatrace

FEBRUARY 16, 2023

And it is making it more and more difficult for all of us to manage that wealth of data,” said Rick McConnell, CEO of Dynatrace, at the annual Perform conference in Las Vegas. “… We need automation and observability to drive and address that issue.” It is about the collection of all of those together.”

Artificial Intelligence 193

Artificial Intelligence Analytics Cloud Innovation 193

Dynatrace

OCTOBER 15, 2020

Therefore, it’s imperative that you ensure the continuous availability and high performance of your applications from your end users’ point of view. With Synthetic Monitoring, you can easily check the availability and performance of your applications as well as your APIs. New Google Cloud Platform locations.

Monitoring 130

Monitoring Cloud Azure AWS 130

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 259

Cloud Azure Analytics Open Source 259

Dynatrace

JUNE 7, 2023

” In recent years, cloud service providers such as Amazon Web Services, Microsoft Azure, IBM, and Google began offering Kubernetes as part of their managed services. The managed service runs on public clouds such as Amazon Web Services and Google Cloud. What is OpenShift? OpenShift Dedicated (OSD).

Open Source 206

Open Source Social Media Infrastructure Operating System 206

Dynatrace

NOVEMBER 2, 2023

FinOps helps engineering, development, finance, and business teams meet critical key performance indicators (KPIs) and fulfill service-level agreements. 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 195

Cloud Strategy Retail Energy 195

Dynatrace

MARCH 24, 2023

Originally created by Google, Kubernetes was donated to the CNCF as an open source project. Part of its popularity owes to its availability as a managed service through the major cloud providers, such as Amazon Elastic Kubernetes Service , Google Kubernetes Engine , and Microsoft Azure Kubernetes Service.

Infrastructure 185

Infrastructure Open Source Operating System Cloud 185

Dynatrace

MARCH 22, 2022

While many companies now enlist public cloud services such as Amazon Web Services, Google Public Cloud, or Microsoft Azure to achieve their business goals, a majority also use hybrid cloud infrastructure to accommodate traditional applications that can’t be easily migrated to public clouds. Dynatrace news.

Infrastructure 227

Infrastructure Cloud Java Azure 227

Brendan Gregg

FEBRUARY 28, 2023

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person!

Performance 52

Performance Latency Cache Virtualization 52

Dynatrace

SEPTEMBER 5, 2023

According to data cited by McConnell, Amazon Web Services, Microsoft Azure, and Google Cloud Platform grew in the last quarter, ending in June [2023] and jointly delivered almost $50 billion. Consider a financial planning company that needed to better manage its performance. Cloud modernization. Unified observability.

Cloud 222

Cloud Artificial Intelligence Innovation Azure 222

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. The report also reveals the leading programming languages practitioners use for application workloads.

Open Source 342

Open Source Java Operating System Programming 342

Dynatrace

MAY 19, 2022

This multinational information technology service and consulting company was asked to help a global automotive manufacturer with the management goal of measuring service flow performance. In this case, the customer offers a managed service that runs on Amazon Web Services, Microsoft Azure, and Google.

Automotive 270

Automotive Latency Architecture Azure 270

Dynatrace

SEPTEMBER 4, 2020

If you’re not familiar with Site Reliability Engineering (SRE) and the concepts of Service Level Indicators (SLIs), Service Level Objectives (SLOs) and Service Level Agreements (SLAs) I recommend watching the YouTube Video from Google Engineers called SLIs, SLOs, SLAs, oh my! class SRE implements DevOps) !

DevOps 246

DevOps Metrics Innovation Azure 246

Scalegrid

JANUARY 8, 2024

By analyzing real-time data, AI-based models can: Adjust the allocation of resources in response to demand Boost business performance Reduce unnecessary expenditures Lead to significant cost savings Improve scalability Operational Efficiency through Automation Automation is a significant way AI enhances cloud operations.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Scalegrid

MARCH 22, 2024

It focuses on aligning organizational needs with cloud services, balancing performance and cost, and ensuring compliance, security, and effective cost management. Pick combinations that are not just affordable but also high-performing. Find that sweet spot where the costs and performance balance out just right.

Strategy 130

Strategy Cloud Government Innovation 130

Dynatrace

JUNE 15, 2023

If your app runs in a public cloud, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), the provider secures the infrastructure, while you’re responsible for security measures within applications and configurations.

Cloud 176

Cloud Open Source Architecture Monitoring 176

Alex Podelko

JUNE 12, 2019

If we talk about commercial vendors targeting the corporate market, I guess only Neotys remains independent and active (I mean contributing into the performance testing ecosystem – innovation, publishing content, participating in events, etc). Microfocus acquired both LoadRunner from HP and Silk Performer (as a part of Borland).

Testing 243

Testing Open Source Testing Tools Performance Testing 243

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 221

Google Cloud Serverless Azure 221

cdemi

FEBRUARY 20, 2017

Whether you choose Azure Functions or AWS Lambda, you cannot easily switch to another. Performance - Serverless Functions that are used less frequently may suffer from warmup response latency, where the infrastructure needs some time to deploy the function. On Public Clouds: Microsoft: Azure Functions. Disadvantages.

Serverless 64

Serverless Architecture Lambda Azure 64

High Scalability

JUNE 22, 2018

Each drone is rated with a game mechanic and gets special privileges based on performance (just kidding). Eitally : there are a few critical differences between GCP and AWS or Azure. Hey, it's HighScalability time: 4 th of July may never be the same. China creates stunning non- polluting drone swarm firework displays.

Internet 113

Internet Internet Scalability Artificial Intelligence 113

Randon ASCII

JULY 11, 2022

While investigating some performance mysteries in Chrome I discovered that Microsoft had parallelized how they zero memory, and in some cases this was making it a lot slower. The best part about blogging is using a Google search to summon your previous research. These were just the numbers that I needed. But I digress….

Cache 105

Cache Energy Google Processing 105

Dynatrace

NOVEMBER 23, 2020

As an application developer, you want to instrument your code to understand how your services communicate with each other and where bottlenecks cause performance degradations. When using managed environments like Google Kubernetes Engine (GKE) , Amazon Elastic Kubernetes (EKS) , or Azure Kubernetes Service it’s easy to spin up a new cluster.

Virtualization 160

Virtualization Infrastructure Monitoring Cloud 160

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. For workloads that require high performance, organizations would be better suited by purchasing their own servers. Response Times. Monitoring. You can’t just set it and forget it.

Serverless 57

Serverless Monitoring Lambda Latency 57

Percona

APRIL 12, 2023

We are really pleased with our Q1 performance and see it as continued validation of the massive market we are pursuing, our strong product market fit, and our ability to execute.” Atlas revenue grew 82% year-over-year, representing 60% of revenue. ” Nothing nefarious there. Just a positive outlook for investors.

Open Source 78

Open Source Programming Database Servers 78

Dynatrace

SEPTEMBER 17, 2019

If you’re an IT or cloud administrator, make sure to check out Dynatrace’s capabilities on monitoring k8s clusters , AWS , VMWare , OpenStack , Azure , Google GCP , OpenShift , CloudFoundry. 2: Automate Quality aka “Performance as a Self-Service”. Best data to start your optimization! 2: Distributed code optimization.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Scalegrid

NOVEMBER 25, 2019

In fact, according to ScyllaDB’s performance benchmark report, their 99.9 So this type of performance has to come at a cost, right? cost reduction compared to running Cassandra, as they can achieve this performance with only 10% of the nodes. Google Cloud. Azure followed in third place representing 17.4%

Big Data 187

Big Data Database Open Source Azure 187

Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. Performing updates, installing software, and resolving hardware issues requires up to 17 hours of developer time every week.

Serverless 243

Serverless Efficiency Lambda Azure 243

The Morning Paper

SEPTEMBER 8, 2019

We have implemented support for query time sampling in production big-data clusters at Microsoft: these clusters consist of tens of thousands of multi-core, multi-disk servers and are used by developers from many different businesses including Bing, Azure, and Windows. ICDE’16 (PowerDrill is a Google internal system). in the paper).

Big Data 57

Big Data Analytics Latency Azure 57

Dynatrace

SEPTEMBER 29, 2021

Just as people use Xerox as shorthand for paper copies and say “Google” instead of internet search, Docker has become synonymous with containers. These mechanisms are often compared to a conductor directing an orchestra to perform elaborate symphonies and juicy operas for our enjoyment. What is Docker? Container deployment.

Open Source 301

Open Source Traffic DevOps Cloud 301

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. Optimize critical applications’ performance. Key capabilities of hybrid architecture.

Infrastructure 181

Infrastructure Cloud Azure AWS 181

Scalegrid

DECEMBER 16, 2019

While you may assume a great majority of the cloud database deployments are run on AWS, Azure, or Google Cloud Platform, small to medium-sized businesses in particular are gravitating towards the developer-friendly cloud provider, DigitalOcean , for their hosting for MongoDB® needs. DigitalOcean Advantages for MongoDB.

Azure 187

Azure AWS Latency Database 187

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. Consider a monolithic application, for example, designed to perform a host of functions.

Development 250

Development Serverless Best Practices Lambda 250

Dynatrace

NOVEMBER 22, 2021

Deterministic AI, or causal AI, automatically reveals precise links between cause and effect in real time—and takes action on these root causes before they result in performance or user experience problems downstream.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228