Scalegrid

FEBRUARY 24, 2025

Implementing clustering and quorum queues in RabbitMQ significantly improves load distribution and data redundancy, ensuring high availability and fault tolerance for messaging services. This decoupling is crucial in modern architectures where scalability and fault tolerance are paramount.

Best Practices 147

Best Practices Traffic Strategy Scalability 147

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 327

Network Transportation AWS Cloud 327

The Netflix TechBlog

MAY 4, 2023

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. It helps expose memory leaks, deadlocks, caching issues, and other system issues.

Traffic 347

Traffic Latency Tuning Systems 347

The Netflix TechBlog

NOVEMBER 12, 2024

Both categories share common requirements, such as high throughput and high availability. Eventually Consistent Global Counter While some users may accept the limitations of a Best-Effort counter, others opt for precise counts, durability and global availability.

Latency 251

Latency Cache Infrastructure Strategy 251

Scalegrid

MARCH 23, 2020

It supports high-availability, provides automated load balancing, and has the intelligence to balance load between masters and slaves so write loads are always directed at masters, while read loads are directed to slaves. Check out the Pgpool-II architecture that supports all of its features, and learn how the connection pooler works.

Cache 264

Cache Servers Architecture Processing 264

Dynatrace

AUGUST 8, 2019

We’re happy to announce the Early Adopter Release of OneAgent full-stack monitoring for Linux on the IBM Z platform, sometimes informally referred to as Z/Linux (available with OneAgent version 1.173 and Dynatrace version 1.174). For details on available metrics, see our help page on host performance monitoring. Dynatrace news.

Availability 34

Availability Hardware Java Tuning 34

Dynatrace

APRIL 17, 2024

With the availability of Linux on IBM Z and LinuxONE, the IBM Z platform brings a familiar host operating system and sustainability that could yield up to 75% energy reduction compared to x86 servers. You can now install OneAgent on Linux with s390 architecture. Next, set up log ingest.

Operating System 246

Operating System Energy Infrastructure Architecture 246

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. Recovery time of the latency p90. However, we noticed that GPT 3.5

Engineering 245

Engineering Tuning Latency Open Source 245

Dynatrace

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. So, what is cloud-native architecture, exactly? What is cloud-native architecture? The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

AUGUST 14, 2023

The digital experiences that enable IT teams to do their best work — the experiences that are smooth, available, and fast — stem from the application development level. Want to learn more about how zero trust architecture can improve government user experiences? Tune in to the full episode to hear more from Gross on UX Ops.

Development 246

Development Serverless Government Open Source 246

Dynatrace

JANUARY 14, 2022

However, setting the right parameters for Kubernetes clusters to ensure application availability, performance, and resilience while avoiding overspending isn’t a walk in the park. Tuning thousands of parameters has become an impossible task to achieve via a manual and time-consuming approach. The Akamas approach. Additional resources.

Latency 246

Latency Tuning Efficiency AWS 246

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 299

Media Innovation Energy Architecture 299

Dynatrace

FEBRUARY 9, 2022

AI-powered automation and deep, broad observability for serverless architectures. This, in turn, helps DevOps teams to pinpoint common problem patterns in their serverless functions rather than in an event-driven architecture. Stay tuned for updates. 2 Automatic detected queues anomaly by AI engine Davis. New to Dynatrace?

Serverless 246

Serverless Azure Lambda AWS 246

The Netflix TechBlog

FEBRUARY 18, 2022

Motivation With the rapid growth in Netflix member base and the increasing complexity of our systems, our architecture has evolved into an asynchronous one that enables both online and offline computation. Architecture As shown in the diagram above, the RENO service can be broken down into the following components.

Systems 334

Systems Traffic Architecture Mobile 334

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Dynatrace is thrilled to announce the General Availability of support for both the 2.x It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” So stay tuned!

Serverless 246

Serverless Azure Monitoring Lambda 246

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. What’s next?

Java 264

Java Traffic Architecture Strategy 264

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Explore your logs in multicloud environments and analyze them in the context of your architecture. All Dynatrace enhancements mentioned in this blog post will be available to all Dynatrace customers within the next 90 days.

Cloud 264

Cloud Azure Analytics Open Source 264

Dynatrace

JANUARY 26, 2021

Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently. Every time the trigger executes, the function runs on an available resource.

Serverless 246

Serverless Efficiency Lambda AWS 246

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. Highest availability and security out-of-the-box.

Analytics 236

Analytics Technology Technology Cloud 236

Dynatrace

MARCH 11, 2021

I wanted to understand how I could tune Dynatrace’s problem detection, but to do that I needed to understand the situation first. For this visualization I used the same backend architecture as for the real-time visualization I presented previously. The raw event data is available via API just like the problem data as well.

Tuning 264

Tuning Architecture Monitoring Big Data 264

Dynatrace

FEBRUARY 1, 2020

On the application overview page you have an error overview available that shows you the errors of a particular web application over time, split by type, occurrence context, and origin. Stay tuned for Part 2. How to fix HTTP errors in 3 easy steps with Dynatrace. Step 1: Quantify the errors.

Tuning 241

Tuning Monitoring Network Best Practices 241

The Netflix TechBlog

AUGUST 13, 2020

You’re half awake and wondering, “Is there really a problem or is this just an alert that needs tuning? Telltale learns what constitutes typical health for an application, no alert tuning required. Intelligent Monitoring Every service operator knows the difficulty of alert tuning. By Andrei U., A metric crossed a threshold.

Monitoring 219

Monitoring Tuning Traffic Metrics 219

Dynatrace

MAY 1, 2020

Other distributions like Debian and Fedora are available as well, in addition to other software like VMware, NGINX, Docker, and, of course, Java. We anticipate massive growth in the popularity of this architecture in the coming quarters, driven additionally by companies’ push for cost reductions. Stay tuned for more details.

Java 182

Java Hardware Metrics Tuning 182

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Dynatrace is thrilled to announce the General Availability of support for both the 2.x It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” So stay tuned!

Serverless 217

Serverless Azure Monitoring Lambda 217

The Netflix TechBlog

SEPTEMBER 18, 2024

Central to this infrastructure is our use of multiple online distributed databases such as Apache Cassandra , a NoSQL database known for its high availability and scalability. Data Model At its core, the KV abstraction is built around a two-level map architecture.

Latency 260

Latency Storage Cache Servers 260

The Netflix TechBlog

MARCH 5, 2024

In fact, we’ve found for our services and architecture that there is no such trade off. Operational simplicity Service owners often reach out to us with questions about excessive pause times and for help with tuning. No explicit tuning has been required to achieve these results.

Latency 237

Latency Java Tuning Efficiency 237

Dynatrace

JUNE 8, 2021

Observability is a topic at the top of mind for all architects, Site Reliability Engineers (SREs), and more – each wanting to use observability to proactively detect issues and guarantee the best experience and availability to users. Metric 2 (Number of requests in error): It’s already available in the Dynatrace built-in metric.

Metrics 242

Metrics Tuning Programming Systems 242

The Netflix TechBlog

NOVEMBER 2, 2020

High level playback architecture with priority throttling and chaos testing Building a request taxonomy We decided to focus on three dimensions in order to categorize request traffic: throughput, functionality, and criticality. The computation is done as a first step so that it is available for the rest of the request lifecycle.

Traffic 261

Traffic Metrics Infrastructure Architecture 261

Dynatrace

JANUARY 4, 2024

This context switching makes it hard for teams to effectively connect the dots when it comes to integrating the service-specific insights with surrounding architecture components such as service-mesh data. A unified platform approach also makes OpenTelemetry data available to more teams across the organization for more diversified analysis.

Metrics 242

Metrics Open Source Tuning Infrastructure 242

DZone

SEPTEMBER 6, 2019

The performance characteristics of the application are determined by its architecture and design. No amount of code fine-tuning can disguise the performance implications resulting from bad architecture or design decisions. Applications must be architected and designed with sound principles and best practices.

Processing 147

Processing Performance Scalability Best Practices 147

Dynatrace

DECEMBER 2, 2021

As organizations adopt microservices-based architecture , service-level objectives (SLOs) have become a vital way for teams to set specific, measurable targets that ensure users are receiving agreed-upon service levels. availability of a website over a year, your error budget is.05%. Dynatrace news. What are error budgets?

Metrics 246

Metrics Best Practices DevOps Infrastructure 246

Dynatrace

FEBRUARY 16, 2023

Now, that same full-spectrum value is available at the massive scale of the Dynatrace Grail data lakehouse. 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 246

Analytics Innovation Metrics Database 246

Strategic Tech

FEBRUARY 15, 2023

This article was co-authored by Eduardo da Silva and Nick Tune based on our individual and collective experiences. FThis article describes a pattern we have observed and applied in multi-team-scope architecture modernization initiatives, the Architecture Modernization Enabling Team (AMET).

Architecture 97

Architecture Innovation Airlines Technology 97

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 analysis can reveal potential bottlenecks and inefficient configurations so teams can fine-tune system performance. Dynatrace news. What are logs?

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

Dynatrace

JULY 6, 2022

With the self-service features and an everything-as-code architecture, labor requirements will significantly decrease and SRE best practices will emerge. Design, implement, and tune effective SLOs. By removing physical dependencies, automation can help perform SRE at scale. Automate as much as possible.

Best Practices 246

Best Practices Open Source Tuning Infrastructure 246

The Netflix TechBlog

AUGUST 1, 2022

The catalog of available DB connectors is growing (CockroachDB, Cassandra for example) More Processing patterns such as filter, projection, union, join, etc. Overall Architecture The Data Mesh system can be divided into the control plane (Data Mesh Controller) and the data plane (Data Mesh Pipeline). Please stay tuned!

Processing 273

Processing Transportation Entertainment Tuning 273

The Netflix TechBlog

APRIL 12, 2022

Sample GraphQL Schema Once entities like the above are available in the graph, it’s very common for folks to want to query for a particular entity based on attributes of related entities, e.g. give me all movies that are currently in photography with Ryan Reynolds as an actor. Data Mesh streams are schematized with Avro.

Engineering 271

Engineering Architecture Java Infrastructure 271