Dynatrace

DECEMBER 18, 2020

App architecture. First, let’s explore the architecture of these apps: BizOpsConfigurator. Now we have performance and errors all covered: Business Analytics. Digital Business Analytics can help answer those questions. Sales Engineers) usage. Agentless RUM, OpenKit, and Metric ingest to the rescue!

Analytics 137

Analytics Metrics IoT Monitoring 137

Dynatrace

APRIL 19, 2024

In this blog post, we explore real-life scenarios shared by our customers, partners, and internal users at Dynatrace, offering inspiration to kickstart your own journey with custom solutions powered by AppEngine. With Automation Engine, they were able to call the cloud provider’s API to trigger the desired resizing action.

AWS 226

AWS Analytics Cloud Monitoring 226

Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. Grail architectural basics. Work with different and independent data types.

Artificial Intelligence 272

Artificial Intelligence Analytics Storage Architecture 272

DZone

OCTOBER 11, 2022

Making Google’s CalDAV and CardDAV APIs available for everyone ( Google Developers Blog). Simpler UI Testing with CasperJS ( Architects Zone – Architectural Design Patterns & Best Practices). Using MongoDB as a cache store ( Architects Zone – Architectural Design Patterns & Best Practices). Hacker News).

Java 244

Java Best Practices Google Analytics 244

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 281

Efficiency Performance Analytics DevOps 281

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. Greenplum Advantages.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Uber Engineering

SEPTEMBER 2, 2021

One … The post Streaming Real-Time Analytics with Redis, AWS Fargate, and Dash Framework appeared first on Uber Engineering Blog. The team transforms Uber’s ideas into agile, global solutions by designing and implementing scalable solutions.

Analytics 142

Analytics AWS Programming Scalability 142

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 159

Analytics Technology Technology Cloud 159

Dynatrace

JANUARY 23, 2024

Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. How can organizations use AI observability to optimize AI costs? What is explainable AI?

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

The Netflix TechBlog

JANUARY 10, 2024

This introductory blog focuses on an overview of our journey. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. This architecture shift greatly reduced the processing latency and increased system resiliency. divide the input video into small chunks 2.

Processing 229

Processing Media Latency Innovation 229

Uber Engineering

JANUARY 15, 2020

Uber leverages real-time analytics on aggregate data to improve the user experience across our products, from fighting fraudulent behavior on Uber Eats to forecasting demand on our platform. .

Engineering 115

Engineering Analytics Big Data Database 115

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. To connect these siloes, and to make sense out of it requires massive manual efforts including code changes and maintenance, heavy integrations, or working with multiple analytics tools.

Cloud 261

Cloud Azure Analytics AWS 261

Dynatrace

APRIL 21, 2022

With a growing number of cloud-native applications built on containers and microservices-based architectures, the number and variety of databases become complex and difficult to manage at scale. In addition, they must often use disjointed database-specific tools to collaborate with engineers, database administrators, or application owners.

Database 243

Database DevOps Analytics Servers 243

Dynatrace

JUNE 15, 2021

The fact is, Reliability and Resiliency must be rooted in the architecture of a distributed system. The path to “Architected for Resiliency” is long, but it clearly pays off in the long run, especially when outages occur, as I want to show you in this blog post. Fact #4: Multi-node, multi-availability zone deployment architecture.

AWS 195

AWS Traffic Architecture Azure 195

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Figure 1: Sample RAG architecture While this approach significantly improves the response quality of GenAI applications, it also introduces new challenges.

Cache 209

Cache Azure Infrastructure Monitoring 209

Dynatrace

JULY 18, 2022

More than 20 leading cloud and operations analytics vendors have added support to their products — including Dynatrace, which is one of the top contributors to the project. OpenTelemetry was purposely conceived to complement — and not compete with — existing analytical tools. The other option is semi-automatic instrumentation.

Artificial Intelligence 198

Artificial Intelligence Open Source Analytics Monitoring 198

Dynatrace

DECEMBER 9, 2020

Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Heterogeneous cloud-native microservice architectures can lead to visibility gaps in distributed traces. Dynatrace news. Deep-code execution details.

Java 239

Java Traffic Strategy Architecture 239

The Netflix TechBlog

JANUARY 13, 2022

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. This blog will explore these two systems and how they perform auto-diagnosis and remediation across our Big Data Platform and Real-time infrastructure.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

All Things Distributed

NOVEMBER 15, 2016

The reality is that many traditional BI solutions are built on top of legacy desktop and on-premises architectures that are decades old. They require teams of data engineers to spend months building complex data models and synthesizing the data before they can generate their first report. How you can get started.

Analytics 152

Analytics Availability Media Social Media 152

Uber Engineering

OCTOBER 9, 2017

These insights range from in-the-moment traffic conditions that provide guidance on trip routes to the Estimated Time of Delivery (ETD) of an UberEATS … The post Introducing AthenaX, Uber Engineering’s Open Source Streaming Analytics Platform appeared first on Uber Engineering Blog.

Open Source 85

Open Source Analytics Traffic Engineering 85

The Netflix TechBlog

MARCH 10, 2023

In this blog, we will be focusing on how we utilize Elasticsearch for indexing and search the assets. This is the layer we’d like to focus on in this blog. And finally, we have an Apache Iceberg layer which stores assets in a denormalized fashion to help answer heavy queries for analytics use cases. Net, Ruby, Perl etc.).

Strategy 258

Strategy Cache Analytics Storage 258

Adrian Cockcroft

MAY 6, 2023

They state in the blog that this was quick to build, which is the point. A real-time user experience analytics engine for live video, that looked at all users rather than a subsample. When you are exploring how to construct something, building a prototype in a few days or weeks is a good approach.

Serverless 145

Serverless Lambda Best Practices Traffic 145

The Netflix TechBlog

JANUARY 25, 2023

All data should be also available for offline analytics in Hive/Iceberg. Marken architecture Above picture represents the block diagram of the architecture for our service. Our architecture makes it possible to easily onboard and ingest data from Media algorithms. zookeeper service, internationalization service etc.

Scalability 283

Scalability Latency Media Architecture 283

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” Simplify error analytics. Understand and optimize your architecture. Dynatrace news. So stay tuned!

Serverless 239

Serverless Azure Monitoring Lambda 239

Dynatrace

DECEMBER 9, 2021

Applications are a common source of security breaches but the prevalence of cloud-native architectures, open source, third-party libraries, and container runtime environments makes the management of modern IT environments complex. The post Dynatrace introduces automatic vulnerability management for PHP appeared first on Dynatrace blog.

Social Media 192

Social Media Open Source Media Cloud 192

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 233

AWS Lambda Artificial Intelligence Serverless 233

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. a Jenkinsfile.

Testing 223

Testing Open Source Metrics Infrastructure 223

Dynatrace

JANUARY 19, 2022

Over the past 18 months, the need to utilize cloud architecture has intensified. As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to the activity in their multi-cloud environments. Observability vs. monitoring: What’s the difference? – Blog.

Artificial Intelligence 184

Artificial Intelligence DevOps Performance Games 184

Uber Engineering

JULY 22, 2021

As Uber’s business grew, we scaled our Apache Hadoop (referred to as ‘Hadoop’ in this article) deployment to 21000+ hosts in 5 years, to support the various analytical and machine learning use cases. We built a team with varied … The post Containerizing Apache Hadoop Infrastructure at Uber appeared first on Uber Engineering Blog.

Infrastructure 145

Infrastructure Analytics Engineering Architecture 145

Dynatrace

APRIL 8, 2022

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. Detailed performance analysis for better software architecture and resource allocation. First and foremost, both approaches equally enrich Kubernetes logs with metadata for enhanced analytics.

Metrics 184

Metrics Analytics Software Architecture Open Source 184

Strategic Tech

FEBRUARY 19, 2020

I remember as a young, naive software developer, I assumed there would be structured processes and patterns similar to those used for designing a software architecture. I crave structure and analytical thinking patterns to design optimal solutions. Arbitrarily choosing team boundaries based on what appeared to be their gut instinct.

Architecture 64

Architecture Strategy Design Software Architecture 64

Dynatrace

NOVEMBER 24, 2020

As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. these metrics are also automatically analyzed by Dynatrace’s AI engine, Davis ).

AWS 146

AWS Artificial Intelligence Best Practices Lambda 146

Dynatrace

DECEMBER 15, 2022

In this blog, we share three log ingestion strategies from the field that demonstrate how building up efficient log collection can be environment-agnostic by using our generic log ingestion application programming interface (API). Yet observability into syslog data on Dynatrace would help you monitor and troubleshoot infrastructure.

Strategy 185

Strategy AWS Open Source Transportation 185

Dynatrace

JANUARY 19, 2021

Actionable analytics across the?entire Serverless architectures help developers innovate more efficiently and effectively by removing the burden of managing underlying infrastructure. The Dynatrace AI engine, Davis,?automatically – Robert Trueman, Head of Software Engineering at CDL. deterministic AI engine,?Davis,?to

Lambda 214

Lambda Serverless AWS Mobile 214

The Netflix TechBlog

MARCH 5, 2019

Netflix’s engineering culture is predicated on Freedom & Responsibility, the idea that everyone (and every team) at Netflix is entrusted with a core responsibility and they are free to operate with freedom to satisfy their mission. All these micro-services are currently operated in AWS cloud infrastructure.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

JULY 6, 2022

As organizations continue to adopt multicloud strategies, the complexity of these environments grows, increasing the need to automate cloud engineering operations to ensure organizations can enforce their policies and architecture principles. appeared first on Dynatrace blog. Big data automation tools. Read eBook now!

Artificial Intelligence 194

Artificial Intelligence Tuning Strategy Big Data 194

The Netflix TechBlog

NOVEMBER 20, 2023

It also improves the engineering productivity by simplifying the existing pipelines and unlocking the new patterns. In this blog post, we talk about the landscape and the challenges in workflows at Netflix. Note that the backfill support is skipped in this blog. Users configure the workflow to read the data in a window (e.g.

Processing 210

Processing Big Data Efficiency Engineering 210