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

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

APRIL 17, 2019

If you hadn’t already heard the news, the entire Dynatrace team is immensely proud to once again been positioned as a Leader in the Gartner 2019 Magic Quadrant for Application Performance Monitoring (APM). In a sea of virtualized layers of abstraction, shared services, and dependencies, the cloud has become increasingly complex.

Innovation 132

Innovation Virtualization Cloud Azure 132

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. You haven’t detected that there’s a shortage of disk space on the virtualization host (or its shared storage).

Virtualization 160

Virtualization Infrastructure Monitoring Cloud 160

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.

Azure 170

Azure AWS DevOps Cloud 170

Dynatrace

APRIL 5, 2021

What is Azure Functions? Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The growth of Azure cloud computing.

Azure 136

Azure Serverless IoT Lambda 136

The Morning Paper

MARCH 8, 2020

For such workloads, shared-nothing architectures beget high cost, inflexibility, poor performance, and inefficiency, which hurts production applications and cluster deployments. Customer data is persisted in S3 (or the equivalent services when running on Azure or GCP), and compute is handled in EC2 instances. S3 on AWS).

Storage 112

Storage Engineering Cache Serverless 112

Smashing Magazine

NOVEMBER 8, 2018

Sharing Data Among Multiple Servers Through AWS S3. Sharing Data Among Multiple Servers Through AWS S3. But since this article is about connecting an application running on the server with AWS S3, we don’t consider this solution. Leonardo Losoviz. 2018-11-08T12:30:30+01:00. 2019-04-29T18:34:58+00:00. Creating The Bucket.

AWS 44

AWS Servers Storage Cloud 44

Scalegrid

JULY 8, 2019

So many default to Amazon RDS, when MySQL performs exceptionally well on Azure Cloud. While Microsoft Azure does offer a managed solution, Azure Database, the solution has some major limitations you should know about before migrating your MySQL deployments. The Best Way to Host MySQL on Azure Cloud Click To Tweet.

Azure 219

Azure Cloud Virtualization Database 219

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Again, the benefit being that the code within your containers or virtual machines is managed by the cloud provider. No more having to worry about maintenance, patching, or scaling. Response Times. Monitoring.

Serverless 57

Serverless Monitoring Lambda Latency 57

Testsigma

JUNE 23, 2021

Testsigma offers seamless integrations with a wide range of CI/CD tools such as Jenkins, Azure DevOps, AWS DevOps, AWS Lambda, CircleCI CI/CD, Bamboo CI/CD, Travis CI/CD, CodeShip CI/CD. These test steps are used together to perform a task such as filling a Signup Form or a Login Page. Read more about it here.

Speed 52

Speed Software Software DevOps 52

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 85

Open Source Programming Database Servers 85

Dynatrace

JANUARY 26, 2021

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. 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.

Serverless 242

Serverless Efficiency Lambda Azure 242

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

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance.

Hardware 56

Hardware Latency Virtualization Cloud 56

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 179

Infrastructure Cloud Azure AWS 179

Scalegrid

MARCH 14, 2024

Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands. On-Premises Data Center A hybrid cloud architecture necessitates that an organization retains full authority over its physical or virtual infrastructure within the private cloud segment.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance.

Hardware 40

Hardware Latency Virtualization Cloud 40

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. What is Google Cloud Functions? GCF use cases. When not to use GCF.

Google 218

Google Cloud Serverless Azure 218

Dynatrace

AUGUST 24, 2020

Dynatrace AWS monitoring gives you an overview of the resources that are used in your AWS infrastructure along with their historical usage. And because Dynatrace can consume CloudWatch metrics, almost all your AWS usage information is available to you within Dynatrace. Dynatrace VMware and virtualization documentation .

Analytics 237

Analytics Infrastructure AWS Operating System 237

Scalegrid

JANUARY 12, 2024

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. This applies to both virtual machines and container-based deployments. What is workload in cloud computing?

Cloud 130

Cloud Virtualization Storage Efficiency 130

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. Cloud providers then manage physical hardware, virtual machines, and web server software management.

Development 247

Development Serverless Best Practices Lambda 247

Dynatrace

DECEMBER 2, 2021

Sometimes the Python virtual machine crashes. Fixed an issue in which the Client IP of an AWS Lambda invoked via API Gateway and monitored with OneAgent for AWS Lambda (Python, Node, Java) was additionally redundantly displayed as proxy IP. (APM-325810). Extension logs display errors. Extension-specific advisory. APM-325810).

Lambda 190

Lambda Azure Metrics Monitoring 190

Dynatrace

JULY 10, 2019

With this approach, you can add any relevant metric(s) from your process to Dynatrace, and then chart it, alert on it, or correlate it with your process’ performance. Dynatrace provides out-of-the-box support for VMware, AWS, Azure, Pivotal Cloud Foundry, and Kubernetes. A special case of a OneAgent plugin is the JMX plugin.

Java 136

Java Best Practices Metrics Azure 136

Dynatrace

JULY 7, 2022

It’s easy to see why, with benefits such as better testing, easier deployment, faster performance, and more. 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. Dynatrace news.

Architecture 196

Architecture Serverless Azure Programming 196

Dynatrace

JULY 13, 2020

Two years later, I came across that same customer at the AWS re:Invent conference , who then told me they were in the midst of a big project, moving their eCommerce to AWS , targeting running a big chunk of it in Kubernetes next year. . AKS (Microsoft Azure) . Kubernetes managed by cloud service providers ? .

Google 132

Google Ecommerce DevOps Cloud 132

Dynatrace

JULY 13, 2020

Two years later, I came across that same customer at the AWS re:Invent conference , who then told me they were in the midst of a big project, moving their eCommerce to AWS , targeting running a big chunk of it in Kubernetes next year. . AKS (Microsoft Azure) . Kubernetes managed by cloud service providers ? .

Google 130

Google Ecommerce DevOps Cloud 130

Dynatrace

AUGUST 24, 2020

Dynatrace AWS m onitoring gives you an overview of the resources that are used in your AWS infrastructure along with their historical usage. And b ecause Dynatrace can consume CloudWatch metrics, almost all your AWS usage information is a vailable to you with in Dynatrace. . OneAgent and its Operator .

Analytics 134

Analytics Infrastructure AWS Operating System 134

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

IO River

NOVEMBER 2, 2023

It’s not just limited to cloud resources like AWS and Azure; Terraform is versatile, extending its capabilities to key performance areas like Content Delivery Network (CDN) management, ensuring efficient content delivery and optimal user experience.‍Started Hold that thought. Migrating isn't as simple as 'copy-paste'.‍Even

Open Source 52

Open Source DevOps AWS Azure 52

O'Reilly

FEBRUARY 18, 2020

there’s a Python library for virtually anything a developer or data scientist might need to do. The most popular CM tools are DevOps focused, and, like DevOps itself, they’re declining: usage in the CM topic dropped significantly (-18%) in 2019, as did virtually all CM tools. Interestingly, R itself continues to decline.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

Dynatrace

NOVEMBER 10, 2022

Although redesigning applications sounds daunting, understanding how these architectures work will enable your organization to reap the performance and cost benefits of cloud hyperscalers. These loosely coupled, lightweight services typically perform a single function and can be chained together into an application. Microservices.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

NOVEMBER 12, 2021

A new generation of automated solutions — designed to provide end-to-end observability of assets, applications, and performance across legacy and cloud systems — make that job easier, says Federal Chief Technology Officer Willie Hicks at Dynatrace. Observability means taking application performance management (APM) to the next level.

Cloud 169

Cloud Monitoring Network Azure 169

IO River

NOVEMBER 2, 2023

In fact, Amazon Web Services (AWS) paved the way with its service, CloudFormation, which introduced the concept of Infrastructure as Code (IaC). Taking inspiration from AWS's CloudFormation, HashiCorp introduced Terraform with a broader vision. As businesses grow and demand fluctuates, infrastructure needs to adapt. Hold that thought.

Open Source 40

Open Source DevOps AWS Azure 40

KeyCDN

FEBRUARY 22, 2023

Chatbots and virtual assistants Chatbots and virtual assistants are becoming more common on websites and web applications as they provide an efficient and convenient way for users to interact with a business. This allows developers to create a website with optimal performance and user experience.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Application performance management.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

KeyCDN

MARCH 14, 2019

Major cloud providers like AWS, Microsoft Azure, and Google Cloud all support serverless services. TensorFlow is an excellent tool for making your own machine learning models using just JavaScript, but you can also use services like AWS Rekognition to add image recognition capabilities to your projects with relative ease.

Development 101

Development Blockchain Serverless Social Media 101