InfoQ

JULY 14, 2023

Mei-Chin Tsai, Vinod discuss the internal architecture of Azure Cosmos DB and how it achieves high availability, low latency, and scalability. By Mei-Chin Tsai, Vinod Sridharan

Latency 52

Latency Azure Availability Scalability 52

Dynatrace

MARCH 8, 2022

At the conference, Dynatrace made several announcements to empower its game-changing community of engineers, developers and security pros. Dynatrace Delivers Most Complete Observability for Multicloud Serverless Architectures. At Dynatrace Perform 2022 in February, the theme was “Empowering the game changers.”.

Code 186

Code Software Software Serverless 186

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. Suboptimal architecture design. This awareness is important when the goal is to drive cost-conscious engineering.

Best Practices 237

Best Practices Strategy Cloud AWS 237

Dynatrace

JANUARY 31, 2024

Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications.

Cache 208

Cache Azure Infrastructure Monitoring 208

Testsigma

NOVEMBER 18, 2021

George Ukkuru is a seasoned technocrat and AVP of quality engineering, DevOps, and SRE @Marlabs Inc. He has also authored a number of books on quality engineering and test automation. Engineers should also integrate and execute API-based performance tests and SAST/DAST scans to the DevOps pipeline. Work towards improving them.

Engineering 104

Engineering Social Media DevOps Azure 104

Dynatrace

NOVEMBER 2, 2023

Spiraling cloud architecture and application costs have driven the need for new approaches to cloud spend. FinOps helps engineering, development, finance, and business teams meet critical key performance indicators (KPIs) and fulfill service-level agreements. There are some challenges with implementing FinOps.

Cloud 200

Cloud Strategy Retail Energy 200

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. Now, Dynatrace applies Davis, its AI engine, to monitor the new log sources.

Cloud 261

Cloud Azure Analytics AWS 261

Dynatrace

OCTOBER 10, 2022

Popular examples include AWS Lambda and Microsoft Azure Functions , but new providers are constantly emerging as this model becomes more mainstream. Serverless architecture makes it possible to host code anywhere, rather than relying on an origin server. Architectural complexity. Reduced latency. Difficult to monitor.

Serverless 169

Serverless Infrastructure Lambda Latency 169

Dynatrace

MAY 19, 2022

A service-level objective ( SLO ) is the new contract between business, DevOps, and site reliability engineers (SREs). Example 1: Architecture boundaries. First, they took a big step back and looked at their end-to-end architecture (Figure 2). SLO dashboard defined by architectural boundary. So, what did they do?

Automotive 274

Automotive Latency Architecture Azure 274

Dynatrace

MARCH 24, 2023

Docker Swarm First introduced in 2014 by Docker, Docker Swarm is an orchestration engine that popularized the use of containers with developers. The Docker file format is used broadly for orchestration engines, and Docker Engine ships with Docker Swarm and Kubernetes frameworks included. The post What is container orchestration?

Infrastructure 190

Infrastructure Open Source Operating System Cloud 190

InfoQ

JULY 20, 2023

Microsoft recently announced the general availability (GA) of Azure Managed Lustre, a managed file system for high-performance computing (HPC) and AI workloads. By Steef-Jan Wiggers

Azure 40

Azure Availability Systems Performance 40

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. Traditional cloud monitoring methods can no longer scale to meet organizations’ demands, as multicloud architectures continue to expand.

Artificial Intelligence 198

Artificial Intelligence Analytics Cloud Innovation 198

The Morning Paper

MARCH 8, 2020

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. For such workloads, shared-nothing architectures beget high cost, inflexibility, poor performance, and inefficiency, which hurts production applications and cluster deployments.

Storage 112

Storage Engineering Cache Serverless 112

High Scalability

JANUARY 11, 2022

Machine Learning Engineer at Amazon and has led several machine-learning initiatives across the Amazon ecosystem. Architecture. 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. High Level Design.

Design 334

Design Media Storage Logistics 334

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? These workflows also utilize Davis® , the Dynatrace causal AI engine, and all your observability and security data across all platforms, in context, at scale, and in real-time.

AWS 251

AWS Efficiency Azure Cloud 251

Dynatrace

AUGUST 16, 2021

Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Kubernetes deployments can be managed using a combination of both the open-source Azure Kubernetes set context Action and Kubernetes deployment GitHub Action. SLO validation – ?Automatically Try it yourself.

Software 246

Software Software Open Source Azure 246

SQL Server According to Bob

FEBRUARY 15, 2018

Microsoft engineering is actually sending quite a few folks over the Atlantic to come talk about SQL Server 2017, SQL Server on Linux, GDPR, Performance, Security, Azure Data Lake, Azure SQL Database, Azure SQL Data Warehouse, and Azure CosmosDB. SELECT * FROM Azure Cosmos DB – Andrew Liu.

Engineering 40

Engineering Azure Best Practices Servers 40

Dynatrace

SEPTEMBER 4, 2020

If you’re not familiar with Site Reliability Engineering (SRE) and the concepts of Service Level Indicators (SLIs), Service Level Objectives (SLOs) and Service Level Agreements (SLAs) I recommend watching the YouTube Video from Google Engineers called SLIs, SLOs, SLAs, oh my! Shifting-left SRE to automate Quality Gates.

DevOps 248

DevOps Metrics Innovation Azure 248

Dynatrace

JANUARY 16, 2023

Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines.

Open Source 346

Open Source Java Operating System Programming 346

Dynatrace

JULY 12, 2022

After moving to Microsoft Azure for many of its production-stage applications, Park ‘N Fly’s IT teams experienced blind spots. “We If a node is encountering performance-level issues, Davis [the Dynatrace AI engine] will pinpoint them,” Schirrmacher says. It’s all part of a continuous deployment architecture,” Schirrmacher says. “We

Innovation 224

Innovation Infrastructure DevOps Azure 224

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. Platform engineering: Build for self-service Self-service deployment is a key attribute of platform engineering. “It makes them more productive.

Engineering 245

Engineering Development DevOps Infrastructure 245

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. According to the Kubernetes in the Wild 2023 report, “Kubernetes is emerging as the operating system of the cloud.” OpenShift Dedicated (OSD).

Open Source 211

Open Source Social Media Infrastructure Operating System 211

Adrian Cockcroft

NOVEMBER 26, 2023

The Pantheon in Rome — Extremely sustainable architecture — photo by Adrian I wrote a medium post after AWS re:Invent 2022 summarizing the (lack of) news and all the talks related to Sustainability. Google Cloud and Microsoft Azure released Scope 3 data in 2021. You must bring your laptop to participate.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

MAY 13, 2022

This extension provides fully app-centric Cassandra performance monitoring for Azure Managed Instance for Apache Cassandra. Because of its scalability and distributed architecture, thousands of companies trust it to run their cloud and hybrid-based workloads at high availability without compromising performance.

Azure 239

Azure Latency Metrics Infrastructure 239

SQL Performance

APRIL 26, 2019

If so, you may have heard about the Azure SQL Database DTU calculator , and you may have also read about how it has been reverse engineered by Andy Mallon. He has been working with and supporting SQL Server predominantly in healthcare since 2008 in an administration, architecture, development, and BI capacity.

Azure 40

Azure Database Metrics Servers 40

Dynatrace

APRIL 5, 2021

What is Azure Functions? Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The growth of Azure cloud computing.

Azure 138

Azure Serverless IoT Lambda 138

Dynatrace

FEBRUARY 12, 2024

When it comes to platform engineering, not only does observability play a vital role in the success of organizations’ transformation journeys—it’s key to successful platform engineering initiatives. The various presenters in this session aligned platform engineering use cases with the software development lifecycle.

Engineering 186

Engineering Development Infrastructure Cloud 186

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 232

AWS Lambda Artificial Intelligence Serverless 232

Dynatrace

AUGUST 17, 2021

This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. ” it helps to understand the monolithic architectures that preceded them. Understanding monolithic architectures. Microservices benefits.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. ” it helps to understand the monolithic architectures that preceded them. Understanding monolithic architectures. Microservices benefits.

Architecture 245

Architecture Software Software Development 245

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. x runtime versions of Azure Functions running in an Azure App Service plan. Azure Functions in a nutshell. Azure Functions is the serverless computing offering from Microsoft Azure.

Serverless 239

Serverless Azure Monitoring Lambda 239

Dynatrace

APRIL 21, 2022

As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. To guide organizations through their cloud migrations, Microsoft developed the Azure Well-Architected Framework. What is the Azure Well-Architected Framework?

Azure 193

Azure Monitoring Virtualization Metrics 193

Dynatrace

SEPTEMBER 17, 2019

MaaSS for Cloud Architects: Deployment and Architecture Validations. Validate correct architecture, configuration and deployment by looking at Service Flow! Within our organization, and with some of our customers, we’ve seen that having data accessible as a self-service enables a cultural shift towards more engineering autonomy.

AWS 128

AWS Monitoring Ecommerce Lambda 128

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. Because cloud architectures are more distributed and dynamic resources come and go as needed, performance can be varied.

Cloud 169

Cloud Traffic Best Practices Strategy 169

Dynatrace

JULY 7, 2022

Many organizations are taking a microservices approach to IT architecture. However, in some cases, an organization may be better suited to another architecture approach. Therefore, it’s critical to weigh the advantages of microservices against its potential issues, other architecture approaches, and your unique business needs.

Architecture 205

Architecture Serverless Azure Programming 205

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? Each truck periodically sends telemetry messages about its location, speed, engine parameters, and cargo status (for example, trailer temperature) to a real-time monitoring application at a central location.

Analytics 69

Analytics Azure Processing Speed 69

ScaleOut Software

AUGUST 20, 2020

To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source. Digital twin models used in product lifecycle management (PLM) or in IoT device modeling (for example, Azure Digital Twins ) just describe the properties of physical entities, usually to allow querying by business processes.

Cloud 52

Cloud Development Analytics Azure 52