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. Data confirms Aggarwal’s conclusions. The research estimated a 35% increase in public cloud usage in 2021 alone.

AWS 205

AWS Cloud Lambda Azure 205

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. Like Kubernetes, it allocates resources efficiently and ensures high availability and fault tolerance. OpenShift Dedicated (OSD).

Open Source 199

Open Source Social Media Infrastructure Operating System 199

Scalegrid

JANUARY 8, 2024

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. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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. All log streams from pods in Kubernetes environments.

Cloud 256

Cloud Azure Analytics AWS 256

Dynatrace

FEBRUARY 16, 2023

That’s why, in part, major cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform are discussing cloud optimization. For the latest news from Perform, check out our “ Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI.”

Artificial Intelligence 186

Artificial Intelligence Analytics Cloud Innovation 186

Adrian Cockcroft

JULY 18, 2023

The methodology used by Amazon is the same as is used by Microsoft Azure, it’s known as the Market Method, and it is based on the energy you pay for, rather than the energy you use. Google use the Location Method, which doesn’t include the energy from their power purchases, and reports more carbon emissions than the Market Method.

AWS 52

AWS Energy Azure Google 52

Dynatrace

MARCH 24, 2023

Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services. Originally created by Google, Kubernetes was donated to the CNCF as an open source project.

Infrastructure 179

Infrastructure Open Source Operating System Cloud 179

Scalegrid

MARCH 22, 2024

Choosing the Right Cloud Services Choosing the right cloud services is crucial in developing an efficient multi cloud strategy. Adopting spot instances for less critical tasks, which are less expensive than on-demand or reserved instances, is an efficient way of managing expenses.

Strategy 130

Strategy Cloud Government Innovation 130

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia. This session revisits the pillar and its best practices.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

FEBRUARY 13, 2020

To provide customers with greater efficiency, simplicity and speed as they undergo digital transformation, our latest infrastructure monitoring module leverages the answers-first approach delivered by the AI and advanced automation capabilities at the core of our all-in-one Software Intelligence Platform. Next-gen Infrastructure Monitoring.

Performance 228

Performance Analytics Mobile Innovation 228

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 110

Performance Latency Cache Virtualization 110

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. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently. Creating a prototype (for example, on Azure ).

Serverless 241

Serverless Efficiency Lambda Azure 241

cdemi

FEBRUARY 20, 2017

Cost - Serverless Computing is more cost-efficient than having a fixed quantity of servers. Whether you choose Azure Functions or AWS Lambda, you cannot easily switch to another. Azure Functions don't have this restriction, but on AWS Lambda, functions are not allowed to run for longer than 5 minutes. Advantages. Disadvantages.

Serverless 64

Serverless Architecture Lambda Azure 64

Tasktop

JANUARY 5, 2022

This is by no means a unique phenomenon: Any marketing expert could tell you, for example, how Google Analytics can paint a very different picture depending on the selected date range. . Flow Metrics tell a story about the speed, throughput and efficiency of a value stream.

Metrics 98

Metrics Speed Analytics Azure 98

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Many organizations that have taken on DevOps methodologies still struggle with efficiency given tool fragmentation. What is cloud migration?

AWS 222

AWS Lambda Artificial Intelligence Serverless 222

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 52

Performance Latency Cache Virtualization 52

Randon ASCII

JULY 11, 2022

The best part about blogging is using a Google search to summon your previous research. As their own documentation says: Queued spin locks are a variant of spin locks that are more efficient for high contention locks on multiprocessor machines. These were just the numbers that I needed. But I digress…. of a core on zeroing memory.

Cache 105

Cache Energy Google Processing 105

Abhishek Tiwari

JULY 22, 2023

In the fast-paced world of software development, the ability to deploy applications quickly and efficiently is crucial for organizations. For instance, terraform-compliance can enforce that all AWS EC2 instances have specific tags defined or that all Google Cloud resources have encryption enabled.

AWS 52

AWS Best Practices Infrastructure Traffic 52

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). Implementation.

Big Data 57

Big Data Analytics Latency Azure 57

Scalegrid

MARCH 14, 2024

In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently. Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

AUGUST 2, 2021

Some examples include Amazon, Microsoft, and Google. Increase operational efficiency : Hyperscale reduces the layers of control, making it easier to manage modern computer operations. Dynatrace is a partner with the hyperscalers you use most, with deep innovative integrations with AWS , Azure , Google , and many more.

Azure 260

Azure Cloud Google AWS 260

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. Managed orchestration uses solutions such as Kubernetes or Azure Service Fabric to provide greater container control and customization. million in 2020. Managed orchestration. Serverless container services.

Serverless 214

Serverless Azure Hardware Transportation 214

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. The “scheduler” determines the placement of new containers so compute resources are used most efficiently. What is Docker? Docker is more than containers, though.

Open Source 294

Open Source Traffic DevOps Cloud 294

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. To fully answer “What are microservices?”

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. To fully answer “What are microservices?”

Architecture 242

Architecture Software Software Development 242

Dynatrace

MAY 17, 2019

Especially in dynamic microservices architectures, distributed tracing is an essential component of efficient monitoring, application optimization, debugging, and troubleshooting. Along with Microsoft, Google, and others, Dynatrace is a co-editor of the W3C Trace Context standard. End-to-end tracing through cloud services.

Azure 148

Azure Open Source Transportation IoT 148

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Examples include associations with Google Docs, Facebook chat group interactions, streaming live forex market feeds, and managing trading notices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

OCTOBER 30, 2023

The resulting vast increase in data volume highlights the need for more efficient data handling solutions. Moreover, by applying causal AI and topological mapping , a unified observability platform includes all the necessary data in context, making troubleshooting significantly more efficient and effective.

Best Practices 236

Best Practices Analytics Artificial Intelligence Infrastructure 236

Dynatrace

JULY 13, 2020

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) . S ome of the most popular Kubernetes distributions include: . IKS (IBM Cloud) .

Google 131

Google Ecommerce DevOps Cloud 131

Dynatrace

JULY 13, 2020

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) . S ome of the most popular Kubernetes distributions include: . IKS (IBM Cloud) .

Google 130

Google Ecommerce DevOps Cloud 130

Dynatrace

JULY 7, 2022

In fact, giants like Google and Microsoft once employed monolithic architectures almost exclusively. 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. Serverless platforms.

Architecture 192

Architecture Serverless Azure Programming 192

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. The post What is cloud-native architecture?

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

MAY 31, 2021

This virtualization makes it possible to efficiently deploy and securely run a container independently of the hosting infrastructure. Kubernetes forged by the rise of Google. If there was any company positioned to understand the problems and limitations of containers before anyone else, it was Google.

Virtualization 132

Virtualization DevOps Infrastructure Cloud 132

Dynatrace

JULY 8, 2019

Each of these factors impacted data quality, time to market, and slowed down our ability to innovate efficiently for our customers. With Cloud, we are leveraging the largest cloud providers’ locations, including AWS, Azure, Alibaba and Google coming very soon. Cloud effectively solves each of these major issues.

Cloud 200

Cloud Hardware Testing Logistics 200

Dotcom-Montior

OCTOBER 19, 2021

Golang, or Go, is an open-source programming language created by Google in 2009 that is used to create software programs. Additionally, containerization technology lends itself to CI/CD, allowing developers to continuously update code and deploy applications quicker and more efficiently. Kubernetes.

Engineering 86

Engineering Open Source Programming Monitoring 86

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 Imagine building a high-tech car but only having access to a basic engine.

Open Source 52

Open Source DevOps AWS Azure 52

Scalegrid

MAY 13, 2020

Greenplum has a uniquely designed data pipeline that can efficiently stream data from the disk to the CPU, without relying on the data fitting into RAM memory, as explained in their Greenplum Next Generation Big Data Platform: Top 5 reasons article. Query Optimization. So who’s using Greenplum today?

Big Data 321

Big Data Database Artificial Intelligence Open Source 321