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. This decoupling ensures the openness of data and storage formats, while also preserving data in context.

Artificial Intelligence 257

Artificial Intelligence Analytics Storage Architecture 257

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs).

Retail 226

Retail Storage Best Practices Architecture 226

The Netflix TechBlog

SEPTEMBER 24, 2021

As an example, cloud-based post-production editing and collaboration pipelines demand a complex set of functionalities, including the generation and hosting of high quality proxy content. The following table gives us an example of file sizes for 4K ProRes 422 HQ proxies.

Cloud 237

Cloud Media Storage Cache 237

Dynatrace

OCTOBER 4, 2022

Several pain points have made it difficult for organizations to manage their data efficiently and create actual value. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. This approach is cumbersome and challenging to operate efficiently at scale.

Analytics 223

Analytics Artificial Intelligence Storage Serverless 223

Dynatrace

APRIL 20, 2023

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 177

Analytics Infrastructure Storage Efficiency 177

Scalegrid

JUNE 7, 2024

In this article, we will explore what RabbitMQ is, its mechanisms to facilitate message queueing, its role within software architectures, and the tangible benefits it delivers in real-world scenarios. It acts as a producer that delivers these messages to the message broker, storing and waiting for consumers to retrieve and process them.

IoT 130

IoT Software Architecture Architecture Scalability 130

Dynatrace

OCTOBER 6, 2023

Buckets are similar to folders, a physical storage location. For example, a separate bucket could be used for detailed logs from Dynatrace Synthetic nodes. Debug-level logs, which also generate high volumes and have a shorter lifespan or value period than other logs, could similarly benefit from dedicated storage.

Artificial Intelligence 252

Artificial Intelligence Analytics Metrics Storage 252

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 236

AWS Efficiency Azure Cloud 236

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. Thus making it an ideal choice for businesses seeking a successful implementation of their multi-cloud strategy.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

OCTOBER 4, 2022

As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. For example, users generate user data, ecommerce sites generate business data, and service portals generate service desk tickets and call volume data. But it doesn’t stop there.

Analytics 180

Analytics Software Software Storage 180

All Things Distributed

JUNE 10, 2016

I see a tremendous interest in examples how to build such applications, and articles such as " The Serverless Start-Up - Down With Servers! If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. about teletext.io

Lambda 107

Lambda Serverless AWS Architecture 107

Dynatrace

OCTOBER 14, 2022

All this is easier said than done because: Kubernetes-based dynamic architecture is becoming the norm. This way, it‘s possible to flexibly select what confidential or sensitive information (for example, PII) is hashed or completely removed before it leaves the enterprise premises. Try it out yourself.

Storage 216

Storage Government Network Infrastructure 216

All Things Distributed

MAY 10, 2016

I see a tremendous interest in examples how to build such applications, and articles such as " The Serverless Start-Up - Down With Servers! If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. about teletext.io

Lambda 105

Lambda Serverless AWS Architecture 105

The Netflix TechBlog

OCTOBER 27, 2020

At Netflix, we also heavily embrace a microservice architecture that emphasizes separation of concerns. For example, in order to enhance our user experience, one online application fetches subscribers’ preferences data to recommend movies and TV shows. Let’s look at an example of a Bulldozer YAML configuration (Figure 3).

Latency 243

Latency Storage Big Data Tuning 243

Dynatrace

JANUARY 11, 2023

For example, uptime detection can identify database instability and help to improve mean time to restoration. Cloud storage monitoring. Teams can keep track of storage resources and processes that are provisioned to virtual machines, services, databases, and applications. Database monitoring. Website monitoring.

Cloud 214

Cloud Monitoring Best Practices Infrastructure 214

Dynatrace

SEPTEMBER 28, 2020

Before we dive into the technical implementation, let me explain the visual concept of this “Global Status Page”: Another requirement for this status page was that it has to be lightweight, with no data storage at all. Getting the problem status of all environments has to be efficient. Lightweight architecture. js framework.

Storage 198

Storage Architecture Tuning Efficiency 198

Scalegrid

MARCH 8, 2024

They should ensure alignment with operational requirements while choosing the most appropriate log format configuration to efficiently manage server activities directly or indirectly related to potential data transformations on databases under stewardship. Cloud-based platforms such as SqlBak make managing backups more straightforward.

Database 162

Database Strategy Servers Best Practices 162

Percona

AUGUST 9, 2023

MySQL 8 brought a significant architectural transformation by replacing the traditional MyISAM-based system tables with the Transaction Data Dictionary (TDD), a more efficient and reliable approach. This information is stored in transactional storage, ensuring atomicity for schema changes.

Database 77

Database Storage Scalability Games 77

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. This is where a well-architected Content Delivery Network (CDN) shines. The result?

Architecture 52

Architecture Performance Internet Internet 52

Dynatrace

JUNE 7, 2023

Kubernetes also gives developers freedom of choice when selecting operating systems, container runtimes, storage engines, and other key elements for their Kubernetes environments. Like Kubernetes, it allocates resources efficiently and ensures high availability and fault tolerance. OpenShift Dedicated (OSD).

Open Source 195

Open Source Social Media Infrastructure Operating System 195

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. Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient. Dynatrace news. What are logs?

Analytics 198

Analytics Monitoring Artificial Intelligence DevOps 198

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. This is where a well-architected Content Delivery Network (CDN) shines. The result?

Architecture 52

Architecture Performance Internet Internet 52

Dynatrace

MAY 26, 2021

In the keynote by Christina Yakomin and Steve Prazenica from Vanguard, the presenters recounted their journey from a monolith with alert-based incident reporting and no positive health signals to an observable microservice architecture. Trace-based sampling can help you save storage costs. We second that.

AWS 201

AWS Strategy Storage Metrics 201

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. You’re getting all the architectural benefits of Grail—the petabytes, the cardinality—with this implementation,” including the three pillars of observability: logs, metrics, and traces in context.

Analytics 176

Analytics Innovation Metrics Database 176

The Netflix TechBlog

APRIL 26, 2022

Figure 1: Netflix ML Architecture Fact: A fact is data about our members or videos. An example of data about members is the video they had watched or added to their My List. An example of video data is video metadata, like the length of a video. Time is a critical component of Axion? However, Spark query execution remained slow.

Storage 187

Storage Design Scalability Latency 187

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?

Performance 176

Performance DevOps Innovation Artificial Intelligence 176

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency.

Strategy 130

Strategy Monitoring Latency DevOps 130

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). Set up the configuration on the same port as specified for source data, in this example 5140.

Strategy 171

Strategy AWS Open Source Transportation 171

Dynatrace

FEBRUARY 15, 2023

Here are some examples: IT infrastructure and operations. Why traditional monitoring approaches fail to deliver an exploratory analytics platform Traditional approaches to cloud monitoring cannot keep pace as organizations’ use of multicloud and cloud-native architectures expand.

Analytics 130

Analytics Storage Cloud DevOps 130

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. Andrew Chien rightfully raises awareness of the challenges of reducing operational carbon.

Energy 98

Energy Architecture Hardware Metrics 98

Dynatrace

NOVEMBER 10, 2020

These capabilities enable deeper insights into all areas of GCP environments, which in turn allows businesses to quickly troubleshoot performance issues, optimize container workloads, and efficiently scale cloud operations. Cloud Function is just an example on how out-of-the-box dashboards can help you. Google Cloud Storage.

Google 209

Google Cloud Serverless Innovation 209

Dynatrace

MAY 26, 2021

In the keynote by Christina Yakomin and Steve Prazenica from Vanguard, the presenters recounted their journey from a monolith with alert-based incident reporting and no positive health signals to an observable microservice architecture. Trace-based sampling can help you save storage costs. We second that.

AWS 147

AWS Strategy Storage Metrics 147

KeyCDN

FEBRUARY 22, 2023

Chatbots and virtual assistants Chatbots and virtual assistants are becoming more common on websites and web applications as they provide an efficient and convenient way for users to interact with a business. The main benefits of serverless architecture are cost savings and scalability.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Smashing Magazine

SEPTEMBER 28, 2022

For example, in Next.js, you can load a student list writing: export default function Home({ studentList }) { return ( <Layout home> <ul> {studentList.map(({ id, name, age }) => ( <li key={id}> {name} <br /> {age} </li> ))} </ul> </Layout> ); }. Common Websocket Architecture.

Performance 127

Performance Cache Servers Social Media 127

The Netflix TechBlog

NOVEMBER 2, 2021

For example, when we design a new version of VMAF, we need to effectively roll it out throughout the entire Netflix catalog of movies and TV shows. The Reloaded system is a well-matured and scalable system, but its monolithic architecture can slow down rapid innovation. via bug fixes). We call this system Cosmos.

Media 171

Media Innovation Metrics Latency 171

The Netflix TechBlog

MARCH 10, 2023

are stored in secure storage layers. Amsterdam is built on top of three storage layers. These applications are built on a microservices architecture, and the Asset Management Platform provides asset management to those dozens of services for various asset types. The first layer, Cassandra , is the source of truth for us.

Strategy 258

Strategy Cache Analytics Storage 258

The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. While this abundance of dashboards and information is by no means unique to Netflix, it certainly holds true within our microservices architecture. What is Edgar?

Latency 296

Latency Transportation Engineering Traffic 296