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?

Cloud 177

Cloud Open Source Architecture Monitoring 177

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

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? This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem.

AWS 246

AWS Efficiency Azure Cloud 246

High Scalability

JANUARY 11, 2022

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. Sending and receiving messages from other users. High Level Design. When the server receives a request for an action (post, like etc.)

Design 334

Design Media Storage Logistics 334

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

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

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. By following key log analytics and log management best practices, teams can get more business value from their data.

Best Practices 243

Best Practices Analytics Artificial Intelligence Infrastructure 243

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

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 137

Azure Serverless IoT Lambda 137

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

Scalegrid

MARCH 14, 2024

Key Takeaways A hybrid cloud platform combines private and public cloud providers with on-premises infrastructure to create a flexible, secure, cost-effective IT environment that supports scalability, innovation, and rapid market response. The architecture usually integrates several private, public, and on-premises infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

ScaleOut Software

JUNE 22, 2020

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. Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

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. Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

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. So, what is cloud-native architecture, exactly? What is cloud-native architecture? Immutable infrastructure.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

MARCH 6, 2024

Platform engineering creates and manages a shared infrastructure and set of tools, such as internal developer platforms (IDPs) , to enable software developers to build, deploy, and operate applications more efficiently. As a result, teams can focus on writing code and building features rather than dealing with infrastructure nuances.

Engineering 241

Engineering Development DevOps Infrastructure 241

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

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This is simply not possible with conventional architectures. Query language.

Artificial Intelligence 208

Artificial Intelligence Analytics Storage Government 208

The Morning Paper

FEBRUARY 27, 2020

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., This paper describes Gandalf, the software deployment monitor in production at Microsoft Azure for the past eighteen months plus. In Azure, most catastrophic issues happen within 1 hour after the rollout.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

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. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. The Greenplum Architecture.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

FEBRUARY 12, 2024

Observability for infrastructure Next up, Guido Deinhammer, CPO for infrastructure observability at Dynatrace, dove into the use case for observability across infrastructure and talked through new application offerings from Dynatrace. The app offers a consolidated overview across data centers and all monitored hosts.

Engineering 182

Engineering Development Infrastructure Cloud 182

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

JANUARY 5, 2022

In recent years, customer projects have moved towards complex cloud architectures, including dozens of microservices and different technology stacks which are challenging to develop, maintain, and optimize for resiliency. Each step is automated from provisioning infrastructure to problem analysis. a Jenkinsfile.

Testing 217

Testing Open Source Metrics Infrastructure 217

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. Traditional self-managed ones give organizations full control over their database infrastructure, such as picking the software and scaling it up.

Database 130

Database Cloud Hardware Storage 130

O'Reilly

MAY 19, 2020

O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. All told, we received 1,283 responses. .

Cloud 141

Cloud Serverless AWS Architecture 141

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

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

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. 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

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

Smashing Magazine

JUNE 1, 2022

These services use requests to external hosts (not servers you control) to deliver JavaScript framework libraries, custom fonts, advertising content, marketing analytics trackers, and more. It might also not work well with a tag manager system if that’s a part of your architecture.

Website 131

Website Design Network Best Practices 131

High Scalability

NOVEMBER 25, 2019

Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. Infrastructure Optimization. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Recommendations.

Architecture 52

Architecture Cache Azure Storage 52