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 214

Testing Open Source Metrics Infrastructure 214

Dynatrace

AUGUST 2, 2021

Hyperscale is the ability of an architecture to scale appropriately as increased demand is added to the system. Hyperscalers are often organizations that provide seamless delivery to build a robust and scalable cloud. appeared first on Dynatrace blog. What is hyperscale? Some examples include Amazon, Microsoft, and Google.

Azure 262

Azure Cloud Google AWS 262

Dynatrace

AUGUST 16, 2021

These problems are the drivers behind Dynatrace’s solution offering called Cloud Automation and this two-part blog series shows how to tackle these problems using GitHub Actions. Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Topics in this blog series.

Software 246

Software Software Open Source Azure 246

InfoQ

APRIL 8, 2019

In a recent blog post, Microsoft introduced the general availability (GA) of Azure Front Door (AFD), a scalable and secure entry point for web applications.

Azure 40

Azure Scalability Technology Technology 40

Dynatrace

OCTOBER 6, 2023

Custom data buckets for faster queries, increased control, and custom retention periods The first layer in the Grail data model consists of buckets and tables (and views for entities, which is outside this blog post’s scope). Special thanks to Dominik Punz and Christian Kiesewetter for their contributions to this blog post.

Artificial Intelligence 258

Artificial Intelligence Analytics Metrics Storage 258

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. Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. The Greenplum Architecture.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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. What is causal AI? What is AIOps?

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

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

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. Technical scalability without limits.

Analytics 154

Analytics Technology Technology Cloud 154

Dynatrace

JULY 9, 2020

We have talked about these four steps in several blog posts , conference talks, YouTube tutorials and also provide an Autonomous Cloud Service Engagement to help your improve MTTI and MTTR. Keptn can integrate with other monitoring and observability platforms thanks to our event-driven architecture.

Cloud 185

Cloud DevOps Azure Architecture 185

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 143

Software Software Technology Technology 143

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. . ? Containers and Microservices: R evolution in the architecture of distributed systems . ? How do you make it scalable? . AKS (Microsoft Azure) .

Google 132

Google Ecommerce DevOps Cloud 132

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. Increased scalability. But what does it take to migrate your existing applications to the cloud? Reduced cost. Inconsistent performance.

Cloud 163

Cloud Traffic Best Practices Strategy 163

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. . ? Containers and Microservices: R evolution in the architecture of distributed systems . ? How do you make it scalable? . AKS (Microsoft Azure) .

Google 130

Google Ecommerce DevOps Cloud 130

Dynatrace

NOVEMBER 29, 2021

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. Microservices architecture combines loosely-coupled functions to create high-performing applications. The post What is OpenShift?

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

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. Containers and microservices: A revolution in the architecture of distributed systems. How do you make it scalable?

Virtualization 132

Virtualization DevOps Infrastructure Cloud 132

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. These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. What are the differences between Aurora and RDS?

AWS 52

AWS Database Serverless Storage 52

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

Dynatrace

SEPTEMBER 17, 2019

Robert allowed me to take a couple of screenshots from their Dynatrace environment and with that, in this blog I try to explain how Dynatrace gives them MaaSS for Developers, Operators, DevOps as well as Business. MaaSS for Cloud Architects: Deployment and Architecture Validations. PostgreSQL & Elastic for data storage.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Tasktop

JULY 21, 2020

Ideas that start in Jira Align are executed in work management tools like Jira , Azure DevOps , and Rally ; tested in tools like Tosca , qTest , Micro Focus ALM and SmartBear ; and supported in ITSM tools like ServiceNow , Jira Service Desk a nd BMC Remedy. . appeared first on Tasktop Blog. Subscribe now.

Azure 52

Azure DevOps Programming Scalability 52

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. Scalability.

Serverless 57

Serverless Monitoring Lambda Latency 57

cdemi

DECEMBER 4, 2016

Maximizing Scalability : Number of Queues and Services can be varied to meet Demand. In a later blog post, I discussed the Competing Consumer Pattern , which helps in scaling your applications by running multiple instances of a service, each of which act as a message consumer from the load-leveling queue.

Design 47

Design Azure Scalability Latency 47

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

ScaleOut Software

AUGUST 19, 2014

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. The Need to Keep It Simple.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

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. The Need to Keep It Simple.

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. An adaptable, scalable and reliable Flow Metrics solution is not just a nice to have add-on. On average, you will need at least nine full-time(!) Subscribe now.

Metrics 52

Metrics Healthcare Automotive Innovation 52

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. An adaptable, scalable and reliable Flow Metrics solution is not just a nice to have add-on. On average, you will need at least nine full-time(!) Subscribe now.

Metrics 40

Metrics Healthcare Automotive Innovation 40

ScaleOut Software

AUGUST 25, 2020

This blog post explains how a software application built with a new software construct called real-time digital twins makes this possible. See a recent blog post which describes how to simplify debugging and testing using a mock environment prior to deployment in the cloud.) Tracking Employees Using Real-Time Digital Twins.

Airlines 52

Airlines Mobile Analytics C++ 52

ScaleOut Software

AUGUST 25, 2020

This blog post explains how a software application built with a new software construct called real-time digital twins makes this possible. See a recent blog post which describes how to simplify debugging and testing using a mock environment prior to deployment in the cloud.) Tracking Employees Using Real-Time Digital Twins.

Airlines 52

Airlines Mobile Analytics C++ 52

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. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. SOA architecture based on REST APIs. Google cloud.

Architecture 52

Architecture Cache Azure Storage 52