Dynatrace

MARCH 18, 2024

Following FinOps practices, engineering, finance, and business teams take responsibility for their cloud usage, making data-driven spending decisions in a scalable and sustainable manner. Hyperscaler cloud service providers such as AWS, Microsoft Azure, and Google Cloud Platform can do this, too. ” But Dynatrace goes further.

Best Practices 238

Best Practices Strategy Cloud AWS 238

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. Infrastructure as a service (IaaS) handles compute, storage, and network resources. What is FaaS?

Development 256

Development Serverless Best Practices Lambda 256

Dynatrace

JANUARY 5, 2022

This guest blog is authored by Raphael Pionke , DevOps Engineer at T-Systems MMS. Our Application Performance Management (APM) and load test team at T-Systems MMS helps our customers reduce the risk of failed releases. Each step is automated from provisioning infrastructure to problem analysis.

Testing 223

Testing Open Source Metrics Infrastructure 223

Dynatrace

MAY 8, 2023

Today’s organizations are constantly enhancing their systems and services as new opportunities arise, inspiring new forms of collaboration while relying on open ecosystems and open source software. The key to observability in these systems is the ability to collect and integrate metrics, logs, and trace data from components.

Open Source 213

Open Source Strategy Lambda Metrics 213

Scalegrid

JANUARY 8, 2024

Key Takeaways Multi-cloud involves using services from multiple cloud providers to gain flexibility and reduce vendor lock-in, while hybrid cloud combines private and public cloud resources to balance control and scalability. What is Multi-Cloud? But what is the purpose behind this model?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

MARCH 24, 2023

Containers enable developers to package microservices or applications with the libraries, configuration files, and dependencies needed to run on any infrastructure, regardless of the target system environment. This means organizations are increasingly using Kubernetes not just for running applications, but also as an operating system.

Infrastructure 191

Infrastructure Open Source Operating System Cloud 191

Dynatrace

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. Immutable infrastructure. These APIs shift the complexity of building and configuring APIs from the user to the system.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

High Scalability

NOVEMBER 2, 2018

” David Rosenthal : The big successes in the field haven't come from consensus building around a roadmap, they have come from idiosyncratic individuals such as Brewster Kahle, Roberto di Cosmo and Jason Scott identifying a need and building a system to address it no matter what "the community" thinks.

Internet 126

Internet Internet Scalability Azure 126

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. How do you make a system observable? Dynatrace news. The architects and developers who create the software must design it to be observed.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

DECEMBER 8, 2022

They are similar to site reliability engineers (SREs) who focus on creating scalable, highly reliable software systems. Belgian engineer Patrick Debois coined the term “DevOps” in 2009 when he needed a Twitter hashtag for DevOpsDays, an agile systems administrators conference in Europe. Microsoft Azure.

DevOps 196

DevOps Engineering Testing Open Source 196

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 article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

DECEMBER 6, 2023

Traditional self-managed ones give organizations full control over their database infrastructure, such as picking the software and scaling it up. Understanding this DBaaS system might take some adjusting too similar just how traveling on cruises has its tempo which requires us to get used to optimally benefit from what it provides.

Database 130

Database Cloud Hardware Storage 130

High Scalability

JULY 20, 2018

The third wing of the architecture piece is the “domain specific system-on-chip.” tef : You can use a message broker to glue systems together, but never use one to cut systems apart. CompSciFact : 'Fancy algorithms are slow when n is small, and n is usually small.' -- Rob Pike. There are a few more quotes.

Internet 121

Internet Internet Scalability Automotive 121

Dynatrace

JULY 7, 2022

Monolithic software systems employ one large codebase, which includes collections of tools, software development kits, and associated development dependencies. Because monolithic software systems employ one large codebase repository, the service becomes a massive piece of software that is labor-intensive to manage.

Architecture 206

Architecture Serverless Azure Programming 206

Scalegrid

MARCH 22, 2024

This process thoroughly assesses factors like cost-effectiveness, security measures, control levels, scalability options, customization possibilities, performance standards, and availability expectations. Register now for free and experience the seamless operation of your databases across multi-cloud and hybrid-cloud systems.

Strategy 130

Strategy Cloud Government Innovation 130

High Scalability

JANUARY 11, 2022

The streaming data store makes the system extensible to support other use-cases (e.g. FUN FACT : In this talk , Rodrigo Schmidt, director of engineering at Instagram talks about the different challenges they have faced in scaling the data infrastructure at Instagram. System Components. Sample Queries supported by Graph Database.

Design 334

Design Media Storage Logistics 334

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. Scalability is a major feature of GCF. What is Google Cloud Functions?

Google 227

Google Cloud Serverless Azure 227

Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. What is Docker?

Open Source 307

Open Source Traffic DevOps Cloud 307

Dynatrace

SEPTEMBER 30, 2021

Cloud services platforms like AWS, Azure, and GCP are reshaping how organizations deliver value to their customers, making cloud migration an increasingly attractive option for running applications. Generally speaking, cloud migration involves moving from on-premises infrastructure to cloud-based services. Increased scalability.

Cloud 169

Cloud Traffic Best Practices Strategy 169

Dynatrace

NOVEMBER 29, 2021

It offers automated installation, upgrades, and life cycle management throughout the container stack — the operating system, Kubernetes and cluster services, and applications — on any cloud. It also protects your development infrastructure at scale with enterprise-grade security. Scale and manage infrastructure. OpenShift 3.0

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Tasktop

JANUARY 13, 2021

Tasktop integrated the organization’s ITSM tool— ServiceNow —to its Agile development tools— Atlassian Jira and Microsoft Azure DevOps —to optimize its ability to resolve users’ problems faster across all systems. Some teams use Jira, and others use Azure DevOps depending on the product value stream.

Azure 52

Azure DevOps Healthcare Metrics 52

Dynatrace

NOVEMBER 20, 2023

Cloud migration to AWS and other cloud environments enables IT teams to enlist public cloud infrastructure so they can innovate without getting entrenched in managing IT infrastructure as the organization scales. But, as resources move off premises, IT teams can lose visibility into system performance and security issues.

AWS 214

AWS Artificial Intelligence Analytics Cloud 214

Dynatrace

JULY 13, 2020

Cloud: A utomation of infrastructure and services on-demand, pay as you use model . Containers and Microservices: R evolution in the architecture of distributed systems . ? How do you make this system resilient and fault-tolerant? How do you make it scalable? . Cloud Native DevOps with Kubernetes : .

Google 132

Google Ecommerce DevOps Cloud 132

Scalegrid

MAY 13, 2020

Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. The MPP system leverages a shared-nothing architecture to handle multiple operations in parallel. Typically an MPP system has one leader node and one or many compute nodes. At a glance – TLDR. Greenplum Advantages.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

JULY 13, 2020

Cloud: A utomation of infrastructure and services on-demand, pay as you use model . Containers and Microservices: R evolution in the architecture of distributed systems . ? How do you make this system resilient and fault-tolerant? How do you make it scalable? . Cloud Native DevOps with Kubernetes : .

Google 130

Google Ecommerce DevOps Cloud 130

Dynatrace

MAY 31, 2021

Although Kubernetes simplifies application development while increasing resource utilization, it is a complex system that presents its own challenges. However, these highly dynamic and distributed environments require a new approach to monitoring Kubernetes infrastructure and applications. How do you make it scalable?

Virtualization 133

Virtualization DevOps Infrastructure Cloud 133

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. Configuring storage in Kubernetes is more complex than using a file system on your host. The Kubernetes experience.

Virtualization 162

Virtualization Infrastructure Monitoring Cloud 162

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. This gives users all of the capabilities of the ScaleOut Digital Twin Streaming Service with complete infrastructure control.

IoT 52

IoT Azure Analytics Healthcare 52

IO River

NOVEMBER 2, 2023

The code is declarative, which means you specify what you want the final configuration to look like, and Terraform ensures the infrastructure matches that desired state.‍So, ‍Terraform is a revolution in the way we handle infrastructure. Background‍The idea of managing infrastructure through code wasn't initiated by HashiCorp.

Open Source 52

Open Source DevOps AWS Azure 52

O'Reilly

OCTOBER 19, 2021

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. The applications must be integrated to the surrounding business systems so ideas can be tested and validated in the real world in a controlled manner.

DevOps 137

DevOps Software Engineering Infrastructure Open Source 137

Particular Software

JULY 18, 2022

Apache Kafka is a partitioned log and is a similar product in architecture to Azure Event Hubs or Amazon Kinesis. While Kafka can deal with high traffic volumes, the right partition strategy is a key factor and will have a major impact on the scalability and elasticity of the whole system. What is Kafka?

Transportation 98

Transportation Azure Processing Systems 98

Dynatrace

MAY 17, 2023

Think about items such as general system metrics (for example, CPU utilization, free memory, number of services), the connectivity status, details of our web server, or even more granular in-application tasks like database queries. DNS query time indicates the average response times of DNS requests across the system.

Metrics 176

Metrics Monitoring Database Network 176

Dynatrace

FEBRUARY 10, 2021

Critical success factors – velocity, resilience, and scalability. Resilience : Critical production business systems must not fail. Stay tuned for another blog post demonstrating how Dynatrace Cloud Automation addresses velocity, resilience, and scalability from a practitioner’s point of view.

Cloud 171

Cloud DevOps Speed Azure 171

KeyCDN

FEBRUARY 22, 2023

Cloud-based development and deployment One of the main advantages of cloud-based development and deployment is scalability. With cloud-based infrastructure, organizations can easily scale their web applications to handle increased traffic or demand without the need for expensive hardware upgrades.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

IO River

NOVEMBER 2, 2023

The code is declarative, which means you specify what you want the final configuration to look like, and Terraform ensures the infrastructure matches that desired state.‍So, What Exactly is Terraform?‍Terraform Terraform is a revolution in the way we handle infrastructure. This level of granularity is not found in UI-managed systems.

Open Source 40

Open Source DevOps AWS Azure 40

ScaleOut Software

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times.

Ecommerce 52

Ecommerce Cache Scalability IoT 52