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. They are required to understand the full story of what happened in a system.

Cloud 254

Cloud Azure Analytics AWS 254

Scalegrid

MARCH 14, 2024

Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. The architecture usually integrates several private, public, and on-premises infrastructures. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JANUARY 31, 2024

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. Figure 1: Sample RAG architecture While this approach significantly improves the response quality of GenAI applications, it also introduces new challenges.

Cache 196

Cache Azure Infrastructure Monitoring 196

Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. These services are tailored to meet various business requirements.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

APRIL 10, 2023

Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. Rural lifestyle retail giant Tractor Supply Co. ” Three years ago, Tractor Supply Co.

Cloud 163

Cloud Ecommerce Performance Retail 163

Dynatrace

OCTOBER 6, 2023

Suppose a single Grail environment is central storage for pre-production and production systems. Record-level permissions and security context As covered in the previously linked blog post about access management, Dynatrace Grail brings a new architecture to permissions management.

Artificial Intelligence 252

Artificial Intelligence Analytics Metrics Storage 252

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. But, as resources move off premises, IT teams can lose visibility into system performance and security issues. What is predictive AI?

AWS 200

AWS Artificial Intelligence Analytics Cloud 200

Dynatrace

APRIL 19, 2023

When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration. Enterprise data stores grow with the promise of analytics and the use of data to enable behavioral security solutions, cognitive analytics, and monitoring and supervision.

Design 181

Design Storage Programming Analytics 181

Dynatrace

JUNE 15, 2021

The fact is, Reliability and Resiliency must be rooted in the architecture of a distributed system. The email walked through how our Dynatrace self-monitoring notified users of the outage but automatically remediated the problem thanks to our platform’s architecture. Fact #2: No significant impact on Dynatrace Users.

AWS 179

AWS Traffic Architecture Azure 179

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks?

AWS 236

AWS Efficiency Azure Cloud 236

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. But what is observability? Why is it important, and what can it actually help organizations achieve? What is observability?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

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. Credits on content go to him and the work he has been doing around performance & resiliency testing automation.

Testing 206

Testing Open Source Metrics Infrastructure 206

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 176

Infrastructure Open Source Operating System Cloud 176

Dynatrace

JUNE 15, 2023

If your app runs in a public cloud, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), the provider secures the infrastructure, while you’re responsible for security measures within applications and configurations. What are some key characteristics of securing cloud applications? Read report now!

Cloud 168

Cloud Open Source Architecture Monitoring 168

High Scalability

JANUARY 11, 2022

Architecture. The streaming data store makes the system extensible to support other use-cases (e.g. System Components. The system will comprise of several micro-services each performing a separate task. Sending and receiving messages from other users. High Level Design. Streaming Data Model. a new like, comment, etc.).

Design 334

Design Media Storage Logistics 334

The Morning Paper

FEBRUARY 27, 2020

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., Modern software systems at scale are incredibly complex ever changing environments. This paper describes Gandalf, the software deployment monitor in production at Microsoft Azure for the past eighteen months plus.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

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 219

AWS Lambda Artificial Intelligence Serverless 219

Dynatrace

APRIL 22, 2022

“Dynatrace is enterprise-ready, including automated deployment and support for the latest cloud-native architectures with role-based governance,” Nalezi?ski After American Family completed its initial conversion to Dynatrace, they needed to automate how their system ingested Amazon CloudWatch metrics. ski explains.

Cloud 161

Cloud Lambda Serverless AWS 161

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

Scalegrid

DECEMBER 6, 2023

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. The great thing about this is that it provides companies with an unprecedented level of freedom when configuring their system.

Database 130

Database Cloud Hardware Storage 130

High Scalability

NOVEMBER 25, 2019

He and his colleagues spend their productive hours scaling large distributed file systems. Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data.

Architecture 52

Architecture Cache Azure Storage 52

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 simplifies the installation process and ensures portability across operating systems.

IoT 52

IoT Azure Analytics Healthcare 52

O'Reilly

MAY 19, 2020

AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. Technical leads and architects (about 11%) are next, followed by software and systems architects (9+%).

Cloud 141

Cloud Serverless AWS Architecture 141

Dynatrace

JUNE 1, 2021

Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Even a conflict with the operating system or the specific device being used to access the app can degrade an application’s performance. APM’s many forms.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. MaaSS for Cloud Architects: Deployment and Architecture Validations. Validate correct architecture, configuration and deployment by looking at Service Flow! Full-stack observability. End-to-end code-level tracing. Service mash insights. End-user monitoring. 1 Validate Deployment.

AWS 127

AWS Monitoring Ecommerce Lambda 127

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Unfortunately, other than cost advantage Wordpress and Drupal have similar deficiencies i.e. legacy monolith architecture.

Systems 63

Systems Cache Website Network 63

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 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. From Distributed Caches to Real-Time Digital Twins.

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. From Distributed Caches to Real-Time Digital Twins.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

SEPTEMBER 25, 2020

Check out this new video which depicts the challenges in using conventional tools for streaming analytics to track and respond to thousands of data sources in a live system. Here’s how to learn more: To learn more about the value of real-time digital twins in streaming analytics, click here.

Entertainment 52

Entertainment Analytics Software Software 52

ScaleOut Software

SEPTEMBER 25, 2020

Check out this new video which depicts the challenges in using conventional tools for streaming analytics to track and respond to thousands of data sources in a live system. Here’s how to learn more: To learn more about the value of real-time digital twins in streaming analytics, click here.

Software 52

Software Software Entertainment Analytics 52