Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. The architecture usually integrates several private, public, and on-premises infrastructures. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

APRIL 30, 2019

Most of the time is taken by quality or release engineers looking at test results, comparing them with previous builds or walking through a checklist of items that accumulated over the years in order to harden their release acceptance process. Bamboo, Azure DevOps, AWS CodePipeline …. Help us make better deployment decisions.

Architecture 125

Architecture Open Source Azure Metrics 125

Dynatrace

JANUARY 5, 2022

This guest blog is authored by Raphael Pionke , DevOps Engineer at T-Systems MMS. To do so we have successfully established AI-based White box load and resiliency testing with JMeter and Dynatrace, helping identify and resolve major performance and scalability problems in recent projects before deploying to production. Dynatrace news.

Testing 206

Testing Open Source Metrics Infrastructure 206

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. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 10, 2022

Many organizations today rely on cloud-native applications for their scalability and agility, among other benefits. Popular examples include AWS Lambda and Microsoft Azure Functions , but new providers are constantly emerging as this model becomes more mainstream. Serverless benefits include the following: Dynamic scalability.

Serverless 158

Serverless Infrastructure Lambda Latency 158

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

Scalegrid

APRIL 5, 2024

It enhances scalability and manages traffic surges, though it requires specific client support and limits multi-key operations to a single hash slot. It offers automatic data sharding, master-replica configurations for high availability, and a scalable and flexible architecture to maintain consistent performance.

Scalability 130

Scalability Efficiency Java Database 130

Dynatrace

FEBRUARY 16, 2023

With increased scalability, agility, and flexibility, cloud computing enables organizations to improve supply chains, deliver higher customer satisfaction, and more. That’s why, in part, major cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform are discussing cloud optimization.

Artificial Intelligence 183

Artificial Intelligence Analytics Cloud Innovation 183

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 176

Infrastructure Open Source Operating System Cloud 176

Dynatrace

AUGUST 16, 2021

Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Providing standardized self-service pipeline templates, best practices, and scalable automation for monitoring, testing, and SLO validation. SLO validation – ?Automatically Topics in this blog series.

Software 245

Software Software Open Source Azure 245

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). Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform.

Open Source 333

Open Source Java Operating System Programming 333

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

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. The only deterministic and open AI -engine for observability data.

Analytics 151

Analytics Technology Technology Cloud 151

Dynatrace

JULY 9, 2020

Our engineering and delivery teams at Dynatrace have invested a lot of time building automation into the Dynatrace Software Intelligence Platform. Automate Performance aka Performance as a Self-Service: Watch SRE-Driven Performance Engineering. the URL endpoint of a service an engineer just deployed.

Cloud 179

Cloud DevOps Azure Architecture 179

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 131

Google Ecommerce DevOps Cloud 131

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

High Scalability

NOVEMBER 25, 2019

This is a guest post by Kalpesh Patel , an Engineer, who for Egnyte from home. 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. SOA architecture based on REST APIs. This is the current architecture.

Architecture 52

Architecture Cache Azure Storage 52

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 141

Software Software Technology Technology 141

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 158

Cloud Traffic Best Practices Strategy 158

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

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.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Percona

JULY 1, 2023

These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS. Considering a Fully Managed DBaaS Offering For Your Business?

AWS 52

AWS Database Serverless Storage 52

Dynatrace

SEPTEMBER 17, 2019

MaaSS for Cloud Architects: Deployment and Architecture Validations. Validate correct architecture, configuration and deployment by looking at Service Flow! If you’re are a developer, then MaaSS for your k8s deployed containers gives you automatic feedback on where your code has performance or scalability bottlenecks.

AWS 127

AWS Monitoring Ecommerce Lambda 127

IO River

NOVEMBER 2, 2023

It’s not just limited to cloud resources like AWS and Azure; Terraform is versatile, extending its capabilities to key performance areas like Content Delivery Network (CDN) management, ensuring efficient content delivery and optimal user experience.‍Started Imagine building a high-tech car but only having access to a basic engine.

Open Source 52

Open Source DevOps AWS Infrastructure 52

ScaleOut Software

JULY 19, 2021

Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. This architecture does not apply computing resources to track the myriad data sources sending telemetry and continuously look for issues and opportunities that need immediate responses.

IoT 78

IoT Analytics Big Data Architecture 78

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

IO River

NOVEMBER 2, 2023

This means that with Terraform, you can manage resources across multiple cloud providers, including AWS, Azure, Google Cloud, and more, using a single tool.‍A Imagine building a high-tech car but only having access to a basic engine. Terraform is a revolution in the way we handle infrastructure. Hold that thought.

Open Source 40

Open Source DevOps AWS Infrastructure 40

Enprowess

JANUARY 12, 2022

Serverless Architecture. Technologies like Microsoft Bot framework, Facebook Bot Engine, and DailougeFlow open-source builds these bots. Serverless Architecture. Serverless architecture is the fastest-growing cloud computing paradigm nowadays. Single Page Applications (SPAs). Progressive web applications (PWA).

Blockchain 59

Blockchain IoT Development Serverless 59

ScaleOut Software

MAY 19, 2020

This highly scalable cloud service is designed to simultaneously and cost-effectively track telemetry from millions of data sources and provide real-time feedback in milliseconds while simultaneously performing continuous, aggregate analytics every few seconds.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

This highly scalable cloud service is designed to simultaneously and cost-effectively track telemetry from millions of data sources and provide real-time feedback in milliseconds while simultaneously performing continuous, aggregate analytics every few seconds.

Logistics 52

Logistics IoT Analytics Azure 52

Abhishek Tiwari

NOVEMBER 3, 2018

When it comes to innovation, most of CMS solutions are constrained by their legacy architecture (read strong coupling between content management and content presentation) which makes it difficult to serve content to new types of emerging channels such as apps and devices. Nonetheless, for static sites and JAMstack, CDN is essential.

Systems 63

Systems Cache Website Network 63

O'Reilly

OCTOBER 19, 2021

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. In effect, the engineer designs and builds the world wherein the software operates.

DevOps 140

DevOps Software Engineering Infrastructure Open Source 140