Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Azure Functions in a nutshell. Dynatrace news.

Serverless 142

Serverless Azure Monitoring Lambda 142

Dynatrace

SEPTEMBER 5, 2023

Organizations have clearly experienced growth, agility, and innovation as they move to cloud computing architecture. As a result, many IT teams have turned to cloud observability platforms to reduce blind spots in their cloud architecture, to resolve problems rapidly, and to deliver better customer experience.

Cloud 223

Cloud Artificial Intelligence Innovation Azure 223

Dynatrace

JUNE 29, 2022

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. To drive better outcomes using hybrid cloud architectures, it helps to understand their benefits—and how to orchestrate them seamlessly. What is hybrid cloud architecture?

Infrastructure 182

Infrastructure Cloud Azure AWS 182

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. Modern observability allows organizations to eliminate data silos, boost cloud operations, innovate faster, and improve business results. “As But it is also about process automation.

Artificial Intelligence 194

Artificial Intelligence Analytics Cloud Innovation 194

Dynatrace

FEBRUARY 12, 2024

The various presenters in this session aligned platform engineering use cases with the software development lifecycle. Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability. Real-time detection for fast remediation.

Engineering 182

Engineering Development Infrastructure Cloud 182

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. Manual troubleshooting is painful, hurts the business, and slows down innovation.

Cloud 260

Cloud Azure Analytics AWS 260

Dynatrace

APRIL 30, 2019

Validating Deployments still seems to be a semi-automated task for most software delivery teams. OpenSource project which is part of keptn and it provides a good solution to automate the validation of a software deployment based on a list of indicators resulting in an overall deployment score. Bamboo, Azure DevOps, AWS CodePipeline ….

Architecture 125

Architecture Open Source Azure Metrics 125

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. Many customers try to use traditional tools to monitor and observe modern software stacks, but they struggle to deal with the dynamic and changing nature of cloud environments.

Cloud 227

Cloud Serverless Hardware Operating System 227

Dynatrace

NOVEMBER 11, 2021

Increasingly, organizations see IT modernization as their on-ramp to product innovation and cost reduction. According to Forrester Research, the COVID-19 pandemic fueled investment in “hyperscaler public clouds”—Amazon Web Services (AWS), Google Cloud Platform and Microsoft Azure. Dynatrace news. at Venetian Delfino 4006.

AWS 213

AWS Cloud Lambda Azure 213

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 Cloud 363

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

JUNE 15, 2023

Incorporating cloud application security practices is an effective way for organizations to avoid application security risks, ensure a smoothly running software development lifecycle (SDLC), and establish an overall strong security posture. However, open source software is often a vector for security vulnerabilities.

Cloud 177

Cloud Open Source Architecture Monitoring 177

Scalegrid

FEBRUARY 8, 2024

Distributed Storage Architecture Distributed storage systems are designed with a core framework that includes the main system controller, a data repository for the system, and a database. Amazon S3 and Microsoft Azure Blob Storage leverage distributed storage solutions.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

MARCH 24, 2023

Within every industry, organizations are accelerating efforts to modernize IT capabilities that increase agility, reduce complexity, and foster innovation. By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management. Why containers?

Infrastructure 186

Infrastructure Open Source Operating System Cloud 186

Dynatrace

APRIL 10, 2023

shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. These range from the simple lift-and-shift re-hosting approach to the significant architectural changes involved in refactoring. We also couldn’t compromise on performance and availability.”

Cloud 172

Cloud Ecommerce Performance Retail 172

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. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys. So, what is artificial intelligence?

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

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 229

AWS Lambda Artificial Intelligence Serverless 229

Scalegrid

MARCH 22, 2024

Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in. Yet it reveals a migration trajectory favoring multi-cloud models as companies wake up to advantages such as heightened innovation potential tied with these varied service structures.

Strategy 130

Strategy Cloud Government Innovation 130

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. New cloud-native technologies make observability more important than ever….

Analytics 156

Analytics Technology Technology Cloud 156

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. All rights reserved. ** The Forrester Observability Reference Architecture: Putting It Into Practice, Forrester Research, Inc.,

Best Practices 244

Best Practices Analytics Artificial Intelligence Infrastructure 244

Dynatrace

JULY 9, 2020

Besides our early adopter success stories, from avodag AG or amasol , we have seen lots of great innovation from Christian Heckelmann at eResearchTechnology (ERT), who integrated Keptn Quality Gates into their GitLab Pipeline which automates up to 90% of otherwise manual build approval tasks.

Cloud 188

Cloud DevOps Azure Architecture 188

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Application architecture to gain insights into how application architecture changes impact performance and user experience. Increased time spent on innovation.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

MAY 31, 2021

The bold organizations were building distributed environments using service-oriented architecture (SOA) and trying to implement enterprise service busses (ESBs) to facilitate application-to-application communication. DevOps and continuous delivery: A revolution in processes, and the way people and software delivery teams work.

Virtualization 133

Virtualization DevOps Infrastructure Cloud 133

Tasktop

APRIL 29, 2020

If you want to continuously increase the business value of your software portfolio, you need to focus on measuring the end-to-end flow of work across your software delivery value streams. Software Delivery isn’t an Assembly Line. This work upstream (before a release) is long, unpredictable and unmeasured.

DevOps 69

DevOps Azure Network Efficiency 69

ScaleOut Software

JUNE 22, 2020

Harnessing the power of in-memory computing requires software platforms that can make in-memory computing’s scalability readily available to applications using APIs while hiding the complexity of its implementation. The post The Amazing Evolution of In-Memory Computing appeared first on ScaleOut Software.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

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. Saturday Sessions.

Engineering 40

Engineering Azure Best Practices Servers 40

ScaleOut Software

JUNE 22, 2020

Harnessing the power of in-memory computing requires software platforms that can make in-memory computing’s scalability readily available to applications using APIs while hiding the complexity of its implementation.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Enprowess

JANUARY 12, 2022

Serverless Architecture. Technology helps companies offer their software services to customers quickly, creating personalized experiences. Voice optimization for apps and websites and voice-activated self-standing devices are the latest innovations in web development. Serverless Architecture. AI-powered Chatbots.

Blockchain 59

Blockchain IoT Development Serverless 59

Tasktop

JUNE 20, 2019

That’s why the continued focus on connecting development to the business and all other stages of the software delivery value stream is absolutely crucial to any digital transformation. An Agile organization’s biggest architectural blindspot? Its toolchain. Requirements defined in Jama flow are synchronized as Stories to Jira.

Development 45

Development DevOps Google Innovation 45

Tasktop

MARCH 16, 2021

What if we could provide them with everything they need to practice data-driven value stream management (VSM) to measure and analyze the flow of customer value across their software portfolio? . Like cooking, software delivery is an art form. Can you really afford to add even more costs and complexity to your software environment?

Metrics 52

Metrics Healthcare Automotive Innovation 52

Tasktop

MARCH 16, 2021

What if we could provide them with everything they need to practice data-driven value stream management (VSM) to measure and analyze the flow of customer value across their software portfolio? . Like cooking, software delivery is an art form. Can you really afford to add even more costs and complexity to your software environment?

Metrics 40

Metrics Healthcare Automotive Innovation 40

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. Architecture An explanatory description of Amazon Aurora’s architecture can be found in Vadim’s post written a few years ago. Want to learn more? Contact us today.

AWS 52

AWS Database Serverless Storage 52

O'Reilly

FEBRUARY 18, 2020

Software architecture, infrastructure, and operations are each changing rapidly. The shift to cloud native design is transforming both software architecture and infrastructure and operations. Trends in software architecture, infrastructure, and operations.

Software Architecture 136

Software Architecture DevOps Data Engineering Architecture 136

ScaleOut Software

APRIL 3, 2020

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

JUNE 15, 2020

An innovative new software technique called “ real-time digital twins ” leverages in-memory computing technology to turn the Lambda model for streaming analytics on its head and enable each data source to be independently tracked and responded to in real time. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

An innovative new software technique called “ real-time digital twins ” leverages in-memory computing technology to turn the Lambda model for streaming analytics on its head and enable each data source to be independently tracked and responded to in real time. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52