Dynatrace

NOVEMBER 20, 2023

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up. What is causal AI?

AWS 217

AWS Artificial Intelligence Analytics Cloud 217

Dynatrace

AUGUST 8, 2019

This short blog post is a follow up to the announcement we made on May 6, 2019: OneAgent for Windows—Enhancements to *.msi-based One of our design principles is to make sure that Dynatrace is as easy to set up and use as possible. Dynatrace news. msi-based deployment. These aren’t just empty words.

Efficiency 118

Efficiency Network Storage Architecture 118

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.

Processing 229

Processing Media Latency Innovation 229

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. GitHub actions profiler: Analyze data generated by GitHub action workflows and get insights into their performance and efficiency.

AWS 229

AWS Analytics Cloud Monitoring 229

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

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 212

Cache Azure Infrastructure Monitoring 212

Dynatrace

OCTOBER 4, 2022

Grail architectural basics. The aforementioned principles have, of course, a major impact on the overall architecture. A data lakehouse addresses these limitations and introduces an entirely new architectural design. It’s based on cloud-native architecture and built for the cloud. But what does that mean?

Artificial Intelligence 275

Artificial Intelligence Analytics Storage Architecture 275

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. What is explainable AI? Enter causal AI.

Performance 195

Performance DevOps Innovation Artificial Intelligence 195

Dynatrace

OCTOBER 7, 2021

To get a better understanding of AWS serverless, we’ll first explore the basics of serverless architectures, review AWS serverless offerings, and explore common use cases. Serverless architecture: A primer. Serverless architecture shifts application hosting functions away from local servers onto those managed by providers.

Serverless 289

Serverless AWS Lambda Storage 289

SQL Performance

JULY 8, 2021

I want to talk about UI design choices that lead to data access patterns that are awkward to implement using SQL Server. Consider this design: The data behind this example requires counting and processing the entire dataset in order to report the number of results. It can also be very difficult to pull off efficiently using SQL Server.

Design 92

Design Software Architecture Database Servers 92

The Netflix TechBlog

SEPTEMBER 24, 2021

Our previous tech blog Packaging award-winning shows with award-winning technology detailed our packaging technology deployed on the streaming side. Table 1: Movie and File Size Examples Initial Architecture A simplified view of our initial cloud video processing pipeline is illustrated in the following diagram.

Cloud 237

Cloud Media Storage Cache 237

Dynatrace

MAY 24, 2023

Dynatrace is proud to provide deep monitoring support for Azure Linux as a container host operating system (OS) platform for Azure Kubernetes Services (AKS) to enable customers to operate efficiently and innovate faster. Microsoft initially designed the OS for internal use to develop and manage Azure services. What is Azure Linux?

Azure 233

Azure Monitoring Operating System Virtualization 233

Dynatrace

FEBRUARY 15, 2023

Introducing Metrics on Grail Despite their many advantages, modern cloud-native architectures can result in scalability and fragmentation challenges. For more complex cloud-native architectures, adding more services and applications leads to a massive increase in the volume of collected traces.

Analytics 238

Analytics Social Media Metrics Efficiency 238

The Netflix TechBlog

MARCH 4, 2024

In this blog post, we present our project on Auto Remediation, which integrates the currently used rule-based classifier with an ML service and aims to automatically remediate failed jobs without human intervention. the retry success probability) and compute cost efficiency (i.e., Multi-objective optimizations.

Tuning 210

Tuning Efficiency Big Data Engineering 210

Adrian Cockcroft

JANUARY 20, 2023

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. Next generation architectures will use CXL3.0

Architecture 52

Architecture Latency Benchmarking AWS 52

Dynatrace

MAY 23, 2022

Cloud environment toolkits —microservices, Kubernetes, and serverless platforms — deliver business agility, but also create complexity for which many security solutions weren’t designed. As a result, while cloud architecture has enabled organizations to develop applications iteratively, it also increased exposure to vulnerabilities.

Strategy 232

Strategy Innovation Cloud Serverless 232

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. Grail is designed for scalability, with no technical prerequisites or additional hosting and storage costs as ingestion rates increase. Beware, you might be surprised how cost-efficient most of the queries are! Transparency. Smart defaults.

Retail 245

Retail Storage Best Practices Architecture 245

Dynatrace

APRIL 6, 2022

Previously, developers would provision APIs and API gateways in order to configure all the desired lambda function settings making for longer setup times and decreased efficiency. Increased efficiency for Lambda function configurations. Opportunities to optimize your architecture. Lambda Function URLs benefits.

Lambda 173

Lambda AWS Serverless Infrastructure 173

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. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 256

AWS Efficiency Azure Cloud 256

Strategic Tech

AUGUST 10, 2020

If every significant architecture decision has business consequences, then knowing the business model and which trade-offs to choose is maybe the most important skill of architects. But what is the actual relationship between a business model and a software architecture? It’s not just about business models and architecture, though.

Software Architecture 69

Software Architecture Architecture Software Software 69

The Netflix TechBlog

NOVEMBER 20, 2023

In this blog post, we talk about the landscape and the challenges in workflows at Netflix. We will show how we are building a clean and efficient incremental processing solution (IPS) by using Netflix Maestro and Apache Iceberg. The incremental processing solution (IPS) described here has been designed to address the above problems.

Processing 210

Processing Big Data Efficiency Engineering 210

Dynatrace

APRIL 21, 2022

As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. The Azure Well-Architected Framework is a set of guiding tenets organizations can use to evaluate architecture and implement designs that will scale over time.

Azure 197

Azure Monitoring Virtualization Metrics 197

Dynatrace

JANUARY 26, 2021

This includes custom, built-in-house apps designed for a single, specific purpose, API-driven connections that bridge the gap between legacy systems and new services, and innovative apps that leverage open-source code to streamline processes. appeared first on Dynatrace blog. Development. Environmental forces.

DevOps 277

DevOps Best Practices Open Source Tuning 277

The Netflix TechBlog

DECEMBER 11, 2020

Our Journey so Far Over the past year, we’ve implemented the core infrastructure pieces necessary for a federated GraphQL architecture as described in our previous post: Studio Edge Architecture The first Domain Graph Service (DGS) on the platform was the former GraphQL monolith that we discussed in our first post (Studio API).

Architecture 249

Architecture Best Practices Engineering Open Source 249

The Netflix TechBlog

MARCH 25, 2019

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

ACM Sigarch

AUGUST 3, 2023

(Editor’s Note: This post was submitted as a rebuttal to Andrew Chien’s July 24 SIGARCH Blog Post ) The recent post “ Why Embodied Carbon is a poor Architecture Design metric, and Operational Carbon remains an important Problem ” by Prof. Unlike Prof. Chien’s argument: It costs only $1.4B Therefore, the $1.4B

Energy 98

Energy Architecture Hardware Metrics 98

Dynatrace

APRIL 6, 2022

Previously, developers would provision APIs and API gateways in order to configure all the desired lambda function settings making for longer setup times and decreased efficiency. Increased efficiency for Lambda function configurations. Opportunities to optimize your architecture. Lambda Function URLs benefits.

Lambda 130

Lambda AWS Serverless Infrastructure 130

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. AWS 5-pillars. Fully conceptualizing capacity requirements. Common findings. How to get started.

AWS 147

AWS Artificial Intelligence Best Practices Lambda 147

DZone

FEBRUARY 27, 2021

This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language. So much for my blog title :-) So when these titans are pit against each other in real-time, considering all aspects of memory and execution time — Java is floored.

Java 207

Java C++ Benchmarking Programming 207

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. Special thanks to Dominik Punz and Christian Kiesewetter for their contributions to this blog post.

Artificial Intelligence 268

Artificial Intelligence Analytics Metrics Storage 268

Dynatrace

MAY 3, 2022

To adapt, many are turning to AIOps and other automation technologies to solve the complex issues that accompany cloud-native architecture. The machine-learning approach is designed to find patterns and correlations in data. Cloud observability is fast becoming an imperative as more organizations adopt multicloud IT strategies.

Cloud 186

Cloud DevOps Architecture Technology 186

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. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

JUNE 2, 2022

While increasing automation is a key goal, organizations will lose their derived efficiency if enablement is arduous and time-consuming. If SRE teams don’t identify a more efficient approach to DevOps from day one, they will undoubtedly find more of their time drained in the future. A shift to SRE-driven engineering takes hold.

DevOps 147

DevOps Innovation Engineering Benchmarking 147

Dynatrace

MAY 26, 2021

This blog dives into what we learned by listening to experts in the field and the key takeaways we gathered from the talks. After all, it’s key to sample and store traces efficiently while not missing out on important events. OTel is designed to ensure flexibility and stability. So, the design of OTel allows for flexibility.

AWS 221

AWS Strategy Storage Metrics 221

Strategic Tech

MAY 24, 2019

Over the past few years I have focused much of my learning and work choices around learning about the design of sociotechnical systems?—?how how to design software architectures and organise teams around them. As part of good design, we should consider the effects of changing all of these variables.

Design 45

Design Software Architecture Strategy Technology 45

The Netflix TechBlog

NOVEMBER 14, 2023

In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! By the end of this series, we hope you will gain an understanding of how Psyberg transformed our data processing, making our pipelines more efficient, accurate, and timely.

Data Engineering 264

Data Engineering Engineering Processing Games 264

Percona

APRIL 17, 2023

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. The swap issue is explained in the excellent article by Jeremy Cole at the Swap Insanity and NUMA Architecture. There is an issue with this, which causes the OS to swap even with memory available.

Best Practices 52

Best Practices Design Tuning Database 52