Dynatrace

AUGUST 11, 2022

Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. FaaS vs. monolithic architectures. Increased availability. But what is FaaS? What is FaaS?

Development 256

Development Serverless Best Practices Lambda 256

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses.

Cache 130

Cache Storage Scalability Architecture 130

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. From the beginning, Grail was built to be fast and scalable to manage massive volumes of data.

Artificial Intelligence 272

Artificial Intelligence Analytics Storage Architecture 272

Dynatrace

APRIL 7, 2023

Now, customers can use streamed responses to build more responsive applications by sending partial responses to clients as the response becomes available. Streaming raises the default 6 MB hard limit to a 20 MB soft limit, adding greater scalability and flexibility to their applications. What is a Lambda serverless function?

Lambda 221

Lambda AWS Serverless Latency 221

Dynatrace

OCTOBER 6, 2023

Table name Default bucket logs default_logs events default_events metrics default_metrics bizevents default_bizevents dt.system.events dt_system_events entities spans (in the future) The default buckets let you ingest data immediately, but you can also create additional custom buckets to make the most of Grail.

Artificial Intelligence 266

Artificial Intelligence Analytics Metrics Storage 266

The Netflix TechBlog

APRIL 27, 2023

While we were able to put out the immediate fire by disabling the newly created alerts, this incident raised some critical concerns around the scalability of our alerting system. It became clear to us that we needed to solve the scalability problem with a fundamentally different approach. OK, Results?

Storage 288

Storage Cache Metrics Database 288

Dynatrace

MAY 23, 2024

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. This significantly increases event latency.

Engineering 185

Engineering Tuning Latency Open Source 185

Dynatrace

DECEMBER 21, 2023

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Application architectures might not be conducive to rehosting. For a deeper look into these and many other recommendations, my colleagues and I wrote an eBook about performance and scalability on the topic.

Cloud 214

Cloud Energy Best Practices Cache 214

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

The Netflix TechBlog

NOVEMBER 3, 2022

The original assumptions and architectural choices were no longer viable. Overview The figure below depicts a simplified high-level architecture of a single Titus cluster (a.k.a As the number of Titus users increased over the years, the load and pressure on the system increased substantially.

Cache 224

Cache Latency Traffic Systems 224

The Netflix TechBlog

MARCH 5, 2019

The second approach is on the diagnosis side: data teams measure the impact of outages and expose patterns across their occurrence, as well as provide a connected view of micro-service-level availability. Security Events Platform See open source project such as StreamAlert and Siddhi to get some general ideas.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

The Netflix TechBlog

JUNE 7, 2021

Network Availability: The expected continued growth of our ecosystem makes it difficult to understand our network bottlenecks and potential limits we may be reaching. Flow Exporter The Flow Exporter is a sidecar that uses eBPF tracepoints to capture TCP flows at near real time on instances that power the Netflix microservices architecture.

Network 325

Network Transportation AWS Cloud 325

Dynatrace

NOVEMBER 28, 2022

The Dynatrace Software Intelligence Platform accelerates cloud operations, helping users achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability. Understand and optimize your architecture. Built for enterprise scalability. Optimize timing hotspots. Simplify error analytics.

Lambda 229

Lambda AWS Serverless Latency 229

Dynatrace

FEBRUARY 15, 2023

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Introducing Metrics on Grail Despite their many advantages, modern cloud-native architectures can result in scalability and fragmentation challenges. Grail solves this scalability issue!

Analytics 235

Analytics Social Media Metrics Efficiency 235

Dynatrace

JUNE 27, 2023

The increasing complexity of cloud service architectures requires a rock-solid understanding of the activity, health status, and security of cloud services. Logs complement out-of-the-box metrics and enable automated actions for responding to availability, security, and other service events.

AWS 204

AWS Cloud Lambda Analytics 204

Dynatrace

JULY 18, 2023

This is especially crucial in microservice architectures, where the number of components can be overwhelming. The screenshot below displays a workflow that listens for a deployment event of the easytrade service in the production stage.

Best Practices 195

Best Practices Code Infrastructure Latency 195

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. Example #2 – Deployment information events. Annotation.

Software 246

Software Software Open Source Azure 246

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. Now in Part III, we review how the framework handles some of the important MySQL failure scenarios and recovers to ensure high availability.

Availability 149

Availability Network Azure AWS 149

Dynatrace

APRIL 30, 2019

At its heart it uses Istio (for traffic control) and Knative (for event driven tool orchestration) and stores all configuration in Git – following the GitOps approach. If there is no Pitometer source implementation available for your tool no worries – check out the reference implementations of Dynatrace or Prometheus and see how easy it is.

Architecture 125

Architecture Open Source Azure Metrics 125

Dynatrace

JULY 29, 2021

Today’s digital businesses run on heterogeneous and highly dynamic architectures with interconnected applications and microservices deployed via Kubernetes and other cloud-native platforms. Common questions include: Where do bottlenecks occur in our architecture? How can we optimize for performance and scalability? Next steps.

Analytics 246

Analytics Open Source Serverless Architecture 246

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

All Things Distributed

JUNE 10, 2016

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. Mobile Backend Serverless Reference Architecture. Real-time File Processing Serverless Reference Architecture. IoT Backend Serverless Reference Architecture.

Lambda 107

Lambda Serverless AWS Architecture 107

The Netflix TechBlog

OCTOBER 18, 2022

As Big data and ML became more prevalent and impactful, the scalability, reliability, and usability of the orchestrating ecosystem have increasingly become more important for our data scientists and the company. Motivation Scalability and usability are essential to enable large-scale workflows and support a wide range of use cases.

Java 202

Java Scalability Traffic Architecture 202

All Things Distributed

MAY 10, 2016

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. Mobile Backend Serverless Reference Architecture. Real-time File Processing Serverless Reference Architecture. IoT Backend Serverless Reference Architecture.

Lambda 105

Lambda Serverless AWS Architecture 105

The Netflix TechBlog

AUGUST 30, 2021

For example, when running tests, the state of the device will change from “available for testing” to “in test.” The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post.

Latency 213

Latency Traffic Transportation Hardware 213

O'Reilly Software

JUNE 12, 2018

The benefits of modeling data as events as a mechanism to evolve our software systems. In fact, before we even had the word microservices in our lexicon, back when it was just good old-fashioned service-oriented architecture, we were talking about data: how to access it, where it lives, who “owns” it.

Database 72

Database Cache Architecture Latency 72

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 Next generation architectures will use CXL3.0

Architecture 52

Architecture Latency Benchmarking AWS 52

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. At launch, an item’s change record is available in the stream for 24 hours after it is created.

Database 167

Database Lambda AWS IoT 167

The Netflix TechBlog

MARCH 14, 2023

Specifically, we will dive into the architecture that powers search capabilities for studio applications at Netflix. We must quickly surface the most stand-out highlights from the titles available on our service in the form of images and videos in the member experience. First, we must provide the content that will bring them joy.

Media 291

Media Innovation Energy Architecture 291

The Netflix TechBlog

MAY 4, 2023

When undertaking system migrations, one of the main challenges is establishing confidence and seamlessly transitioning the traffic to the upgraded architecture without adversely impacting the customer experience. It provides a good read on the availability and latency ranges under different production conditions.

Traffic 339

Traffic Latency Tuning Systems 339

Dynatrace

NOVEMBER 3, 2021

Organizations are depending more and more on distributed architectures to provide application services. Conventional database performance analysis is simple, though, compared with diagnosing microservice architectures with multiple components and an array of dependencies. Dynatrace news.

Monitoring 226

Monitoring Metrics DevOps Scalability 226

Dynatrace

AUGUST 25, 2023

Upgrades and modifications, if available, are complex and expensive, so it isn’t easy to keep them secure and functional. The team can also focus on developing new cloud-native apps that provide the scalability necessary to deliver reliable services, especially during times of crisis when families need HHS the most.

Government 209

Government Infrastructure Programming Cloud 209

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. For more about this ongoing conversation, see A guide to event-driven SRE-inspired DevOps. SRE focuses on automation.

Engineering 257

Engineering DevOps Government Latency 257

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

Scalegrid

JANUARY 5, 2024

Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity. Practical Applications of DBMS DBMS finds practical applications in various fields.

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

MARCH 24, 2023

This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles. Part of its popularity owes to its availability as a managed service through the major cloud providers, such as Amazon Elastic Kubernetes Service , Google Kubernetes Engine , and Microsoft Azure Kubernetes Service.

Infrastructure 191

Infrastructure Open Source Operating System Cloud 191

High Scalability

AUGUST 4, 2020

Learn to balance architecture trade-offs and design scalable enterprise-level software. Check out Educative.io 's bestselling new 4-course learning track: Scalability and System Design for Developers. Client libraries are available for Node, Ruby, Python, PHP, Go, Java and.NET. Generous free tier.

Education 115

Education AWS Scalability Java 115