Dynatrace

NOVEMBER 10, 2022

Lifting and shifting applications from the data center to the cloud delivers only marginal benefits. Because cloud computing breaks application functions into many microservices, porting monolithic applications to the cloud unchanged can slow them down. So, what is cloud-native architecture, exactly? Declarative APIs.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

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 226

Google Cloud Serverless Azure 226

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. The benefit is scalability.

Azure 174

Azure AWS DevOps Cloud 174

Dynatrace

NOVEMBER 5, 2019

With the increase in the adoption of cloud technologies, there’s now a huge demand for monitoring cloud-native applications, including monitoring both the cloud platform and the applications themselves. Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace.

Azure 138

Azure Artificial Intelligence Metrics Innovation 138

Dynatrace

NOVEMBER 11, 2022

More organizations are adopting a hybrid IT environment, with data center and virtualized components. Therefore, they need an environment that offers scalable computing, storage, and networking. For organizations managing a hybrid cloud infrastructure , HCI has become a go-to strategy.

Infrastructure 205

Infrastructure Storage Virtualization Network 205

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Amazon S3 and Microsoft Azure Blob Storage leverage distributed storage solutions.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. Container as a service is a cloud-based service that allows companies to manage and deploy containers at scale. This, in turn, drove the creation of cloud-based services that further automated this function.

Serverless 221

Serverless Azure Hardware Transportation 221

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. The FaaS model of cloud computing debuted in 2014 with startups like hook.io.

Development 255

Development Serverless Best Practices Lambda 255

Dynatrace

JANUARY 16, 2023

Modern, cloud-native computing is impossible to separate from containers and Kubernetes adoption. As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes moved to the cloud in 2022. Kubernetes moved to the cloud in 2022.

Open Source 346

Open Source Java Operating System Programming 346

Dynatrace

DECEMBER 8, 2022

As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. They are similar to site reliability engineers (SREs) who focus on creating scalable, highly reliable software systems. Automated DevOps throughout AWS hybrid-cloud environments.

DevOps 196

DevOps Engineering Testing Open Source 196

Dynatrace

AUGUST 25, 2023

Kubernetes workload management is easier with a centralized observability platform When deploying applications with Kubernetes, the configuration is flexible and declarative, allowing for scalability. To properly monitor Kubernetes clusters and containers, it’s necessary to have access to relevant logs.

Serverless 227

Serverless Analytics AWS Azure 227

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

MARCH 24, 2023

By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management. Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services.

Infrastructure 190

Infrastructure Open Source Operating System Cloud 190

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.

Architecture 205

Architecture Serverless Azure Programming 205

Dynatrace

MAY 31, 2021

According to the 2020 Cloud Native Computing Foundation (CNCF) survey , 92 percent of organizations are using containers in production, and 83 percent of these use Kubernetes as their preferred container management solution. This simplifies orchestration in cloud-native environments. Dynatrace news.

Virtualization 133

Virtualization DevOps Infrastructure Cloud 133

Dynatrace

JULY 13, 2020

Cloud Native DevOps with Kubernetes : . Cloud: A utomation of infrastructure and services on-demand, pay as you use model . Cloud-native? refers to cloud-based, containerized, distributed systems, made up of cooperating microservices, dynamically managed by automated infrastructure as code. . ?

Google 132

Google Ecommerce DevOps Cloud 132

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. Cloud-based development and deployment One of the main advantages of cloud-based development and deployment is scalability.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Dynatrace

JULY 13, 2020

Cloud Native DevOps with Kubernetes : . Cloud: A utomation of infrastructure and services on-demand, pay as you use model . Cloud-native? refers to cloud-based, containerized, distributed systems, made up of cooperating microservices, dynamically managed by automated infrastructure as code. . ?

Google 130

Google Ecommerce DevOps Cloud 130

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. When designing and running modern, scalable, and distributed applications, Kubernetes seems to be the solution for all your needs.

Virtualization 162

Virtualization Infrastructure Monitoring Cloud 162

High Scalability

OCTOBER 3, 2019

ScaleGrid, a rapidly growing leader in the Database-as-a-Service (DBaaS) space, has just launched their new fully managed Redis on Azure service. “Cloud reliability has never been so important,” says Dharshan Rangegowda, Founder and CEO of ScaleGrid.

Azure 23

Azure Cloud Open Source Cache 23

ScaleOut Software

AUGUST 19, 2014

Cloud-based applications enjoy the unique elasticity that cloud infrastructures provide. As more computing resources are needed to handle a growing workload, virtual servers (also called cloud “ instances ”) can be added to take up the slack. Deploying an IMDG in the Cloud. IMDGs Help Scale Applications.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

Cloud-based applications enjoy the unique elasticity that cloud infrastructures provide. As more computing resources are needed to handle a growing workload, virtual servers (also called cloud “ instances ”) can be added to take up the slack. Deploying an IMDG in the Cloud. IMDGs Help Scale Applications.

Cloud 40

Cloud Azure Virtualization Scalability 40

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 As businesses grow and demand fluctuates, infrastructure needs to adapt.

Open Source 52

Open Source DevOps AWS Azure 52

Percona

APRIL 12, 2023

They came up with a horizontally scalable NoSQL database. The company also releases MongoDB Atlas, promoting it as the most cost-effective way to run MongoDB in the Cloud. Some might say this marked the beginning of MongoDB’s “cloud push” escalation.) 2017: MongoDB goes public, trading as MDB.

Open Source 83

Open Source Programming Database Servers 83

IO River

NOVEMBER 2, 2023

Unlike CloudFormation, which was confined to AWS resources, Terraform was designed with a multi-cloud approach in mind. This means that with Terraform, you can manage resources across multiple cloud providers, including AWS, Azure, Google Cloud, and more, using a single tool.‍A

Open Source 40

Open Source DevOps AWS Azure 40

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. Scalability. Focus on Application Development. Response Times.

Serverless 57

Serverless Monitoring Lambda Latency 57

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. The “Public Private Cloud” folks.

Hardware 56

Hardware Latency Virtualization Cloud 56

ScaleOut Software

JULY 19, 2021

Let’s take a closer look at today’s conventional streaming analytics architectures, which can be hosted in the cloud or on-premises. 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

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. The “Public Private Cloud” folks.

Hardware 40

Hardware Latency Virtualization Cloud 40