Dynatrace

AUGUST 17, 2021

Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. Simple network calls. Microservices managed.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. Simple network calls. Microservices managed.

Architecture 246

Architecture Software Software Development 246

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? If the objective under the performance efficiency pillar is achieved, it indicates successful cost reduction for the disk size.

AWS 305

AWS Efficiency Azure Cloud 305

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. Accordingly, these platforms provide a unified, consistent DevOps and IT experience.

Infrastructure 246

Infrastructure Cloud Azure AWS 246

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 246

AWS Cloud Lambda Azure 246

Dynatrace

AUGUST 11, 2022

Cloud providers such as Google, Amazon Web Services, and Microsoft also followed suit with frameworks such as Google Cloud Functions , AWS Lambda , and Microsoft Azure Functions. Infrastructure as a service (IaaS) handles compute, storage, and network resources. How does function as a service work?

Development 279

Development Serverless Best Practices Lambda 279

Dynatrace

MARCH 24, 2023

But managing the deployment, modification, networking, and scaling of multiple containers can quickly outstrip the capabilities of development and operations teams. This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles. How does container orchestration work?

Infrastructure 246

Infrastructure Open Source Operating System Cloud 246

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. Networking. Kubernetes provides a basic networking model.

Open Source 246

Open Source Social Media Infrastructure Operating System 246

Dynatrace

MAY 19, 2022

This represents the total number of requests across the network. This refers to the load on your network and servers. In this case, the customer offers a managed service that runs on Amazon Web Services, Microsoft Azure, and Google. The “Four Golden Signals” include the following: Latency. Saturation.

Automotive 290

Automotive Latency Architecture Azure 290

Scalegrid

MAY 13, 2020

Greenplum interconnect is the networking layer of the architecture, and manages communication between the Greenplum segments and master host network infrastructure. The multi-cloud platform allows you to deploy and manage on AWS, Azure or Google Cloud (coming soon) cloud platforms, or VMware on-premise environments.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

MARCH 18, 2024

Hyperscaler cloud service providers such as AWS, Microsoft Azure, and Google Cloud Platform can do this, too. Observability tools can provide insights into resource utilization metrics, such as CPU usage, memory usage, and network throughput. They can send a notification saying, “This server is oversized.”

Best Practices 278

Best Practices Strategy Cloud AWS 278

Dynatrace

DECEMBER 8, 2021

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. The components of partitioned applications generally communicate over a network call.

Cloud 246

Cloud Serverless Hardware Operating System 246

Dynatrace

APRIL 22, 2022

Now, the team has dashboard capabilities beyond what Amazon CloudWatch provides, including network visibility, ingress and egress metrics, SLO monitoring , and individual user endpoints for synthetic monitors. “We quickly understood there was a need for automation,” Gault says.

Cloud 242

Cloud Lambda Serverless AWS 242

Dynatrace

JULY 13, 2020

Who manage s the networking aspects? I f there was any company that was positioned to understand those problems and limitations of containers before anyone else, it was Google. . ? GKE (Google Cloud Platform) . GKE (Google Cloud Platform) . AKS (Microsoft Azure) . But how will you set up the communication?

Google 173

Google DevOps Ecommerce Cloud 173

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. What are some key characteristics of securing cloud applications?

Cloud 245

Cloud Open Source Architecture Monitoring 245

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. Cloud modernization. Cloud platforms continue to deliver massive value. That’s a growth by 2x over two years,” McConnell noted. “We

Cloud 246

Cloud Artificial Intelligence Innovation Azure 246

Dynatrace

NOVEMBER 23, 2020

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. Some examples are the network (switches, routers), storage systems (especially when using thin provisioning ), and virtualization infrastructure. Conclusion.

Virtualization 237

Virtualization Infrastructure Monitoring Cloud 237

High Scalability

SEPTEMBER 28, 2018

vl : I have a hilarious story about this from Google: I wanted second 30" monitor, so I filed a ticket. . $2 billion : Pokémon GO revenue since launch; 10 : say happy birthday to StackOverflow; $148 million : Uber data breach fine; 75% : streaming music industry revenue in the US; 5.2 That's not an obvious statement at all. There more.

Internet 35

Internet Internet Scalability Blockchain 35

Dynatrace

JULY 8, 2019

When we wanted to add a location, we had to ship hardware and get someone to install that hardware in a rack with power and network. With Cloud, we are leveraging the largest cloud providers’ locations, including AWS, Azure, Alibaba and Google coming very soon. Sound easy? Try doing that in India. Hardware was outdated.

Cloud 203

Cloud Hardware Testing Logistics 203

Dynatrace

MAY 31, 2021

It automates complex tasks during the container’s life cycle, such as provisioning, deployment, networking, scaling, load balancing, and more. Who manages the networking aspects? Kubernetes forged by the rise of Google. Google has been running production workloads in containers longer than any other organization.

Virtualization 182

Virtualization DevOps Infrastructure Cloud 182

High Scalability

JULY 6, 2018

ThousandEyes : The Internet is made up of thousands of autonomous networks that are interdependent on one another to deliver traffic from point to point across the globe. tyingq : This is why AWS and Azure continue to gain market share in cloud, while Google remains relativity stagnant, despite (in many cases) superior technology.

Internet 110

Internet Internet Scalability Google 110

Dynatrace

JULY 13, 2020

Who manage s the networking aspects? I f there was any company that was positioned to understand those problems and limitations of containers before anyone else, it was Google. . ? GKE (Google Cloud Platform) . GKE (Google Cloud Platform) . AKS (Microsoft Azure) . But how will you set up the communication?

Google 130

Google DevOps Ecommerce Cloud 130

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. network engineer, at >2%) and management positions (IT manager, at close to 3%; operations manager at >1%).

Cloud 144

Cloud Serverless AWS DevOps 144

Smashing Magazine

NOVEMBER 15, 2021

Mosh is a remote terminal app (or mobile shell) for interactive SSH usage that includes several useful features for those who need to do terminal-based tasks over weak WiFi, cellular networks, or other less-reliable connections. Includes support for services like Amazon S3, Google Drive, Storj, and the local file system. transfer.sh.

Development 141

Development Google Open Source Storage 141

Percona

DECEMBER 11, 2023

This is done without downtime, but replication might introduce additional load on the primary node and the network. Regional disks Regional disks are available at Azure and Google Cloud but not yet at AWS. Right now, it is possible through creating a new storage class and applying it to the new instance group.

Storage 122

Storage Strategy Cloud Azure 122

High Scalability

JUNE 22, 2018

OpenConnect, the ability to deploy the CDN directly into the internal network of these ISPs served multiple purposes--not the least of which was to expose the fact that they were holding Netflix for ransom. Eitally : there are a few critical differences between GCP and AWS or Azure.

Internet 113

Internet Internet Scalability Artificial Intelligence 113

Smashing Magazine

JULY 6, 2021

If you see authors turning to other authoring tools such as Google Docs for its commenting or suggestions capabilities, it may be a red flag as to what features you are missing. Microsoft word documents, spreadsheets, Google docs always rear their heads up when working with content authors. Editing Experience.

Cache 145

Cache Website Mobile Google 145

Scalegrid

MARCH 14, 2024

When delving into the networking aspect of a hybrid cloud deployment, complexities arise due to the requirement of linking or expanding existing on-premises network architectures into the cloud sphere. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

O'Reilly

FEBRUARY 18, 2020

But ML/AI-related topics such as natural language processing (NLP, +22% in 2019) and neural networks (+17%) recorded strong growth in usage, too. Data engineering as a task certainly isn’t in decline. Interest in data engineering probably isn’t declining, either.

Software Architecture 145

Software Architecture DevOps Data Engineering Architecture 145

Dynatrace

NOVEMBER 29, 2021

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. Key metrics here include memory requests, CPU requests, disk utilization, and network throughput.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Smashing Magazine

JUNE 1, 2022

In this case, we are not going to be talking about infrastructure services, such as a cloud computing platform like Microsoft Azure or a content distribution network like Akamai. And JavaScript can certainly make requests for additional network resources. These tools fall into several categories.

Website 138

Website Design Network Testing 138

Scalegrid

APRIL 5, 2024

ScaleGrid offers managed DBaaS solutions to simplify scaling and managing Redis deployments with features such as dynamic scaling with minimal downtime, automated backups, and high availability, suitable for cloud platforms like AWS, Azure, and Google Cloud. beyond a certain point.

Scalability 130

Scalability Java Efficiency Database 130

Scalegrid

JANUARY 12, 2024

This is sometimes referred to as using an “over-cloud” model that involves a centrally managed resource pool that spans all parts of a connected global network with internal connections between regional borders, such as two instances in IAD-ORD for NYC-JS webpage DNS routing. This also aids scalability down the line.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Brendan Gregg

FEBRUARY 28, 2023

Google and Amazon’s latest AI chips have arrived," [link] Oct 2022 - [Intel 22] Intel, "Intel® Developer Cloud," [link] accessed Dec 2022 I've taken care to cite the author names along with the talk titles and dates, including for Internet sources, instead of the common practice of just listing URLs.

Performance 103

Performance Latency Cache Virtualization 103

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

Percona

APRIL 12, 2023

This part of the actual SSPL language speaks volumes: If you make the functionality of the Program or a modified version available to third parties as a service, you must make the Service Source Code available via network download to everyone at no charge, under the terms of this License. Is MongoDB free for commercial use?

Open Source 98

Open Source Programming Database Servers 98

O'Reilly

NOVEMBER 28, 2023

While experienced AI developers are starting to leave powerhouses like Google, OpenAI, Meta, and Microsoft, not enough are leaving to meet demand—and most of them will probably gravitate to startups rather than adding to the AI talent within established companies. Microsoft, Google, IBM, and OpenAI have offered more general indemnification.

Open Source 137

Open Source Google Artificial Intelligence Infrastructure 137