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

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

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 209

Latency Tuning Efficiency AWS 209

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 171

Metrics Open Source Tuning Infrastructure 171

The Netflix TechBlog

NOVEMBER 9, 2020

Netflix is known for its loosely coupled and highly scalable microservice architecture. From the time a TV show or a movie is pitched to when it’s available on Netflix, a lot happens behind the scenes. The product teams solved for this with two architectural patterns. 1) Single-use aggregation layers?—?Due

Architecture 359

Architecture Engineering Scalability Open Source 359

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 192

Serverless Azure Lambda AWS 192

Dynatrace

APRIL 5, 2024

For instance, consider how fine-tuned failure rate detection can provide insights for comprehensive understanding. Please refer to How to fine-tune failure detection (dynatrace.com) for further information. Let’s assume we created a service-availability SLO, monitoring the request failure count against the overall request counts.

Efficiency 230

Efficiency Traffic Tuning Metrics 230

Dynatrace

NOVEMBER 14, 2023

DevOps practices have been established in the last decade to accomplish this goal and deal with the dynamics of modern, cloud-native software architectures. Allow for flexibility Custom query variables are available to fine-tune guardian objectives and maintain flexibility in fetching data from Grail.

Government 199

Government Best Practices DevOps Engineering 199

Percona

APRIL 7, 2023

If we were to select the most important MySQL setting, if we were given a freshly installed MySQL or Percona Server for MySQL and could only tune a single MySQL variable, which one would it be? MySQL comes pre-configured to be conservative instead of making the most of the resources available in the server. Why is that?

Tuning 133

Tuning Cache Servers Benchmarking 133

The Netflix TechBlog

AUGUST 29, 2023

Since there were no existing solutions available, we needed to build them ourselves. To improve availability, we designed systems where components could fail separately and avoid single points of failure. In this architecture, service to service communication no longer goes through the single point of failure of a load balancer.

Traffic 220

Traffic Latency Cloud C++ 220

Scalegrid

DECEMBER 19, 2019

pgBouncer Architecture | Source. PgBouncer, while a great connection pooler, does not support automated load balancing or high-availability. It recommends using other common linux tools like HAProxy to create an architecture which does support these features. And that is it! You can be up and running very quickly with PgBouncer.

Cache 246

Cache Database Architecture Servers 246

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 138

Processing Performance Scalability Best Practices 138

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

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

The Netflix TechBlog

MAY 26, 2020

Network Availability: The expected continued growth of our ecosystem makes it difficult to understand our network bottlenecks and potential limits we may be reaching. It is easier to tune a large Spark job for a consistent volume of data. And in order to gain visibility into these logs, we need to somehow ingest and enrich this data.

Network 150

Network Tuning AWS Big Data 150

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 239

Serverless Azure Monitoring Lambda 239

Dynatrace

JULY 18, 2023

This is especially crucial in microservice architectures, where the number of components can be overwhelming. Stay tuned for more examples and easy-to-adopt automations provided in our public Github project. Furthermore, increasing the frequency of releases requires additional product lifecycle automation and setup.

Best Practices 195

Best Practices Code Infrastructure Latency 195

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 245

Serverless Efficiency Lambda Azure 245

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 261

Cloud Azure Analytics Open Source 261

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 210

Monitoring Tuning Traffic Metrics 210

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 133

Java Hardware Tuning Metrics 133

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 238

Java Traffic Strategy Architecture 238

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 191

Analytics Innovation Metrics Database 191

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

OCTOBER 23, 2020

The shortest possible time to value offered by Dynatrace is one of the most important reasons that our customers select Dynatrace over other monitoring solutions available on the market. The Ansible OneAgent collection is available from two primary sources: Directly from Dynatrace. Set up easy deployment of OneAgent via Ansible.

Tuning 130

Tuning Monitoring Availability Architecture 130

The Netflix TechBlog

JUNE 15, 2022

By Alex Hutter , Falguni Jhaveri , and Senthil Sayeebaba In a previous post , we described the indexing architecture of Studio Search and how we scaled the architecture by building a config-driven self-service platform that allowed teams in Content Engineering to spin up search indices easily.

Engineering 183

Engineering Architecture Availability Tuning 183

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 272

Processing Transportation Entertainment Tuning 272

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 192

Best Practices Open Source Tuning Infrastructure 192

Scalegrid

JANUARY 11, 2024

Key Takeaways Cloud security monitoring is a comprehensive approach involving both manual and automated processes to oversee servers, applications, platforms, and websites, using tools that are customized to fit unique cloud architectures. This includes servers, applications, software platforms, and websites.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

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 263

Engineering Architecture Java Infrastructure 263

Dynatrace

AUGUST 16, 2021

Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Since becoming General Availability in the fall of 2019 , GitHub Actions has helped teams automate continuous integration and continuous delivery (CI/CD) workflows for code builds, tests, and deployments.

Software 246

Software Software Open Source Azure 246

Percona

MARCH 23, 2023

When it comes to enterprise-level databases, there are several options available in the market, but PostgreSQL stands out as one of the most popular and reliable choices. This makes it an excellent choice for mission-critical applications that require high availability.

Database 113

Database Open Source Traffic Small Business 113

The Netflix TechBlog

AUGUST 17, 2023

Each algorithm needed a process of evaluation and tuning to get great results in AVA Discovery View. Technical Architecture Discovery View Plugin Architecture Discovery View Plugin Architecture We built Discovery View as a pluggable feature that could quickly be extended to support more algorithms and other types of suggestions.

Media 169

Media Scalability Architecture Strategy 169

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 196

Metrics Best Practices DevOps Infrastructure 196

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 159

Analytics Technology Technology Cloud 159

The Netflix TechBlog

OCTOBER 18, 2022

Meson was based on a single leader architecture with high availability. Figure 1 shows the high-level architecture. Maestro high level architecture In Maestro, a workflow is a DAG (Directed acyclic graph) of individual units of job definition called Steps. With the high growth of workflows in the past few years?

Java 202

Java Scalability Traffic Architecture 202

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 252

Traffic Metrics Infrastructure Architecture 252