DZone

SEPTEMBER 21, 2023

In today’s rapidly evolving technological landscape, organizations are increasingly embracing cloud-native architectures and leveraging the power of Kubernetes for application deployment and management. In this blog post, we will learn why a multi-cluster setup is needed? How does Istio Service Mesh work on multi-clusters?

Azure 193

Azure Games AWS Cloud 193

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Figure 1: Sample RAG architecture While this approach significantly improves the response quality of GenAI applications, it also introduces new challenges.

Cache 204

Cache Azure Infrastructure Monitoring 204

Dynatrace

FEBRUARY 9, 2022

AI-powered automation and deep, broad observability for serverless architectures. In addition to existing support for AWS Lambda , this support now covers Microsoft Azure Functions and Google Cloud Functions as well as managed Kubernetes environments, messaging queues, and cloud databases across all major cloud providers. recent blogs.

Serverless 187

Serverless Azure Lambda AWS 187

Dynatrace

AUGUST 11, 2022

This enables teams to quickly develop and test key functions without the headaches typically associated with in-house infrastructure management. 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.

Development 250

Development Serverless Best Practices Lambda 250

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. Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud.

Serverless 243

Serverless Efficiency Lambda Azure 243

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. AI-powered answers and additional context for apps and infrastructure, at scale.

Cloud 259

Cloud Azure Analytics AWS 259

ACM Sigarch

OCTOBER 10, 2022

Although, only recently the security attacks on quantum computers have begun to be demonstrated, this brings to the forefront the need to consider security of quantum computer architectures as a first-class design objective. Why Research Security of Quantum Computers?

Architecture 72

Architecture Hardware Programming Cloud 72

Dynatrace

JANUARY 5, 2022

This guest blog is authored by Raphael Pionke , DevOps Engineer at T-Systems MMS. I, Andreas Grabner, helped to bring the blog to life! T-Systems MMS provides a modern white box testing approach to validating release readiness for complex cloud architectures. Dynatrace news. The white box load testing project setup.

Testing 217

Testing Open Source Metrics Infrastructure 217

Dynatrace

NOVEMBER 11, 2021

As a result, reliance on cloud computing for infrastructure and application development has increased during the pandemic era. According to Forrester Research, the COVID-19 pandemic fueled investment in “hyperscaler public clouds”—Amazon Web Services (AWS), Google Cloud Platform and Microsoft Azure.

AWS 213

AWS Cloud Lambda Azure 213

Dynatrace

MAY 19, 2021

Running workloads on top of Kubernetes is significantly valuable, not just for application teams, but for infrastructure teams as well. Learn more about the Kubernetes architecture, options for running Kubernetes across a host of environments and the adoption patterns of cloud native infrastructure and tools.

Innovation 236

Innovation Azure Infrastructure Cloud 236

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. IT operations teams need ways to monitor infrastructure, even if it’s not within their data centers and under their direct management.

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

Dynatrace

JULY 12, 2022

AIOps and observability for infrastructure management. This kind of IT automation “ingests data from every layer in the stack — from the infrastructure layer to the application layer and even user experience data,” says Bipin Singh, director of product marketing at Dynatrace. And then we never see these issues manifest again.

Innovation 219

Innovation Infrastructure DevOps Azure 219

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. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

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. In contrast to modern software architecture, which uses distributed microservices, organizations historically structured their applications in a pattern known as “monolithic.”

Cloud 226

Cloud Serverless Hardware Operating System 226

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. The Greenplum Architecture. The Greenplum Architecture. In order to get a good understanding of the Greenplum architecture, let’s first look at what an MPP database is.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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? The Dynatrace platform approach to managing your cloud initiatives provides insights and answers to not just see what could go wrong but what could go right.

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

APRIL 22, 2022

This gives organizations visibility into their hybrid and multicloud infrastructures , providing teams with contextual insights and precise root-cause analysis. With a single source of truth, infrastructure teams can refocus on innovating, improving user experiences, transforming faster, and driving better business outcomes.

Cloud 168

Cloud Lambda Serverless AWS 168

Dynatrace

APRIL 7, 2021

But your infrastructure teams don’t see any issue on their AWS or Azure monitoring tools, your platform team doesn’t see anything too concerning in Kubernetes logging, and your apps team says there are green lights across the board. This scenario has become all too common as digital infrastructure has grown increasingly complex.

Cloud 157

Cloud Monitoring Latency Games 157

Dynatrace

NOVEMBER 29, 2021

It also protects your development infrastructure at scale with enterprise-grade security. 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. Scale and manage infrastructure.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Dynatrace

JULY 13, 2020

The bold ones were building distributed architectures using SOA, trying to implement ESBs and this all looked good on paper but ended up being difficult to implement. . ? Cloud: A utomation of infrastructure and services on-demand, pay as you use model . AKS (Microsoft Azure) . Cloud Native DevOps with Kubernetes : .

Google 132

Google Ecommerce DevOps Cloud 132

Dynatrace

JULY 13, 2020

The bold ones were building distributed architectures using SOA, trying to implement ESBs and this all looked good on paper but ended up being difficult to implement. . ? Cloud: A utomation of infrastructure and services on-demand, pay as you use model . AKS (Microsoft Azure) . Cloud Native DevOps with Kubernetes : .

Google 130

Google Ecommerce DevOps Cloud 130

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. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

MAY 31, 2021

However, these highly dynamic and distributed environments require a new approach to monitoring Kubernetes infrastructure and applications. Containers and microservices: A revolution in the architecture of distributed systems. This simplifies orchestration in cloud-native environments. But on their own, containers are not sufficient.

Virtualization 133

Virtualization DevOps Infrastructure Cloud 133

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.

Cloud 165

Cloud Traffic Best Practices Strategy 165

Dynatrace

JUNE 1, 2021

Automatic discovery and mapping of application and its infrastructure components to maintain real-time awareness in dynamic environments. Integration and automation with service management tools and third-party sources to keep pace with an expanding and evolving infrastructure. Improved infrastructure utilization.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

FEBRUARY 9, 2021

The devil is in the detail, though because of the sheer number, breadth, and volatility of technologies used in modern architectures and the immense volume, velocity, and variety of data they produce. The Hub includes the most prominent platforms like Kubernetes and Red Hat OpenShift as well as public cloud vendors like AWS, GCP, and Azure.

Software 144

Software Software Technology Technology 144

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. In serverless architecture, when applications are developed, they are typically composed of many different services. Other benefits to serverless architecture include the following: Cost. Monitoring.

Serverless 57

Serverless Monitoring Lambda Latency 57

Tasktop

APRIL 29, 2020

In this blog, I will be talking about reviewing toolchain data fragmentation to get to the ground truth of the flow of work between the software delivery teams building and supporting your software products. Make sure you subscribe to receive the blog directly to your inbox when published. Multiple frameworks and measurements.

DevOps 69

DevOps Azure Network Efficiency 69

High Scalability

APRIL 16, 2019

In this three-part blog series, we introduced a High Availability (HA) Framework for MySQL hosting in Part I, and discussed the details of MySQL semisynchronous replication in Part II. This concludes our 3-part blog series on the MySQL High Availability (HA) framework using semisynchronous replication and the Corosync plus Pacemaker stack.

Availability 149

Availability Network Azure AWS 149

Testsigma

MAY 19, 2021

DevOps is not a single system, rather it is a combination of many processes – testing, deployment, production, etc – thus, it’s better termed as a ‘distributed infrastructure’. Cloud-based solutions are extremely cheap when compared to building and maintaining a DevOps infrastructure on-premise. Source: FileFlex.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

Percona

JULY 1, 2023

In this blog, we will answer all of these important questions and provide a general overview comparing the two database services, Aurora vs RDS. Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. How do I choose which one to use?

AWS 52

AWS Database Serverless Storage 52

Enprowess

JANUARY 12, 2022

To make it easier for you, in this blog, we will discuss the latest web development trends that will evolve in 2022. Serverless Architecture. Serverless Architecture. Serverless architecture is the fastest-growing cloud computing paradigm nowadays. List of Top Web Development Trends to Track in 2022. AI-powered Chatbots.

Blockchain 59

Blockchain IoT Development Serverless 59

The Symphonia

JUNE 19, 2018

I was fortunate to be both presenting a 2-day workshop (on AWS Serverless Architectures and Continuous Deployment) as well as hosting a full-day Serverless track of talks. Donna Malayeri gave a wonderful talk at a Serverless conference in New York last year, showing a sequence of surprising capabilities of Microsoft Azure.

Serverless 40

Serverless AWS DevOps Open Source 40

ScaleOut Software

AUGUST 19, 2014

Cloud-based applications enjoy the unique elasticity that cloud infrastructures provide. They also offer a powerful computing platform for analyzing live data as it changes and generating immediate feedback or “operational intelligence;” for example, see this blog post describing the use of real-time analytics in a retail application.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

Cloud-based applications enjoy the unique elasticity that cloud infrastructures provide. They also offer a powerful computing platform for analyzing live data as it changes and generating immediate feedback or “operational intelligence;” for example, see this blog post describing the use of real-time analytics in a retail application.

Cloud 40

Cloud Azure Virtualization Scalability 40

Tasktop

MARCH 16, 2021

roles to build a solution for just one product value stream, as well as laying the architectural foundations to scale across multiple value streams in your portfolio. Infrastructure Costs. The same goes for your IT infrastructure. On average, you will need at least nine full-time(!) Subscribe now.

Metrics 52

Metrics Healthcare Automotive Innovation 52