The Netflix TechBlog

APRIL 12, 2022

By Alex Hutter , Falguni Jhaveri and Senthil Sayeebaba Over the past few years Content Engineering at Netflix has been transitioning many of its services to use a federated GraphQL platform. By transacting with a database which is monitored by a CDC connector that creates events, or b.

Engineering 263

Engineering Architecture Java Infrastructure 263

Dynatrace

APRIL 26, 2022

Digital experience monitoring (DEM) allows an organization to optimize customer experiences by taking into account the context surrounding digital experience metrics. What is digital experience monitoring? Primary digital experience monitoring tools.

Monitoring 209

Monitoring Social Media IoT Metrics 209

Percona

SEPTEMBER 1, 2023

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? A finely tuned database processes queries more efficiently, leading to swifter results.

Tuning 52

Tuning Database Performance Hardware 52

Dynatrace

AUGUST 12, 2020

Despite its benefits, serverless computing introduces additional monitoring challenges for developers and IT Operations, particularly in understanding dependencies and identifying issues in the end-to-end traces that flow through a complex mix of dynamic and hybrid on-premise/cloud environments. So stay tuned! Optimize timing hotspots.

Serverless 239

Serverless Azure Monitoring Lambda 239

Dynatrace

MAY 28, 2024

Logs provide answers, but monitoring is a challenge Manual tagging is error-prone Making sure your required logs are monitored is a task distributed between the data owner and the monitoring administrator. Often, it comes down to provisioning YAML configuration files and listing the files or log sources required for monitoring.

Analytics 176

Analytics Infrastructure Database Monitoring 176

Dynatrace

AUGUST 29, 2023

Google Cloud Ready – Cloud SQL recognizes the partner solutions that have met a core set of functional requirements and have been validated in collaboration with Google Cloud engineering teams. This designation can also save time in evaluating Dynatrace solutions for organizations that are not already using them.

Google 209

Google Cloud Design Programming 209

Dynatrace

JULY 2, 2019

This is especially true when Dynatrace replaces an older generation of monitoring software. Once the failure is detected, Davis our artificial intelligence engine will decide whether the issue should be reported or not. How to fine-tune failure detection. Failure detection with services. So why is this important?

Tuning 115

Tuning Artificial Intelligence Code Java 115

Dynatrace

APRIL 3, 2023

On Episode 52 of the Tech Transforms podcast, Dimitris Perdikou, head of engineering at the UK Home Office , Migration and Borders, joins Carolyn Ford and Mark Senell to discuss the innovative undertakings of one of the largest and most successful cloud platforms in the UK. Make sure to stay connected with our social media pages.

Efficiency 198

Efficiency Social Media Artificial Intelligence Cloud 198

Dynatrace

NOVEMBER 4, 2019

As Dynatrace is a leader in Cloud monitoring, we have architected our Software Intelligence Platform specifically to complement Kubernetes by providing extensive functionality to tame the complexities and prevent performance issues that can occur across the development and deployment cycles. Don’t underestimate complexity.

Monitoring 219

Monitoring Cloud Metrics Code 219

Dynatrace

JULY 6, 2022

Monitoring and logging are fundamental building blocks of observability. When monitoring tools release a stream of alerts, teams can easily identify which ones are false and assess whether an event requires human intervention. Similarly, digital experience monitoring is another ongoing process that lends itself to IT automation.

Artificial Intelligence 194

Artificial Intelligence Tuning Strategy Big Data 194

Dynatrace

AUGUST 12, 2020

Despite its benefits, serverless computing introduces additional monitoring challenges for developers and IT Operations, particularly in understanding dependencies and identifying issues in the end-to-end traces that flow through a complex mix of dynamic and hybrid on-premise/cloud environments. So stay tuned! Optimize timing hotspots.

Serverless 143

Serverless Azure Monitoring Lambda 143

DZone

JUNE 17, 2020

Does every performance engineer need to know about how memory in Java works? To completely fine-tune the java performance bottlenecks for high performance my answer is YES. It is the process of allocating new objects and removing unused objects (Garbage Collections) properly.

Java 305

Java Performance Testing Performance Testing 305

Dynatrace

APRIL 16, 2019

The GA version of private synthetic HTTP monitoring was so well received that we expanded beyond Linux-based environment ActiveGates to now additionally support Windows-based environment ActiveGates. Why use synthetic HTTP monitors? Private HTTP monitors, being very lightweight, are great for: API testing (both internal and external).

Availability 103

Availability Monitoring Operating System Tuning 103

Dynatrace

NOVEMBER 14, 2023

To bring these practices to life within an organization at scale, the discipline of platform engineering has gained popularity. From a high-level point of view, platform engineering aims to: Reduce the cognitive load on development teams. Improve reliability and resiliency of products that rely on platform capabilities.

Government 199

Government Best Practices DevOps Engineering 199

Dynatrace

MARCH 15, 2024

Syslog is the go-to protocol that delivers infrastructure administrators, network engineers, and security team logs that tell them all they need to know about their systems’ delivery, performance, availability, and security. Dynatrace OTel Collector was released in Preview in January and is available generally from March 2024.

Open Source 206

Open Source Infrastructure Network Government 206

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

JULY 23, 2019

The OneAgent SDK enables you to extend Dynatrace, including our AI-based root cause analysis , Smartscape , and service flow , to monitor Python-based applications. The application I want to monitor is called Flaskr. I would like to monitor that functionality as a separate service. Defining custom request attributes. fetchone().

Monitoring 136

Monitoring Software Software Database 136

Dynatrace

OCTOBER 7, 2020

With this announcement, Dynatrace brings the value of its AI engine, the scale, security, and automation of Dynatrace OneAgent and the scale of our platform (which can handle 50,000 hosts) to open source technologies so that you get the best of both worlds. Dynatrace unlocks over 200 new technology integrations.

Open Source 258

Open Source Metrics Analytics Tuning 258

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. “It’s quite a big scale,” said an engineer at the financial services group.

Analytics 193

Analytics Infrastructure Storage Efficiency 193

Dynatrace

MARCH 15, 2024

It removes the burden of managing retries, batching, and sampling from monitored applications, which can reduce the CPU and memory requirements of applications. So, stay tuned. The configuration is highly flexible in solving various user needs. A collector is also a powerful component for data processing.

Open Source 288

Open Source Best Practices Infrastructure Tuning 288

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? To be fair, that is also true with PostgreSQL; it hasn’t been tuned either, and it, too, can also perform much better.

Tuning 135

Tuning Cache Servers Benchmarking 135

The Netflix TechBlog

NOVEMBER 9, 2021

The Client and UI Engineering team built a certification test with these streams to analyze both the device logs as well as the pictures rendered on the screen. The Encoding Technologies team took a first stab at this problem by fine-tuning the encoding recipe. Challenge 4: How do we continuously monitor AV1 streaming?

Media 246

Media Open Source Efficiency Software Engineering 246

Dynatrace

FEBRUARY 8, 2021

Organizations struggle to effectively use logs for monitoring business-critical data and troubleshooting. Legacy monitoring, observability-only, and do-it-yourself approaches leave it up to digital teams to make sense of this data. Now, Dynatrace applies Davis, its AI engine, to monitor the new log sources.

Cloud 261

Cloud Azure Analytics AWS 261

Dynatrace

FEBRUARY 9, 2022

Engineers often choose best-of-breed services from multiple sources to create a single application. 2 Automatic detected queues anomaly by AI engine Davis. Stay tuned for updates. This enables proactive AI-driven analysis and easy troubleshooting in serverless scenarios. 3 End-to-end distributed trace including Azure Functions.

Serverless 193

Serverless Azure Lambda AWS 193

Brendan Gregg

DECEMBER 31, 2017

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Our team looks after the BaseAMI, kernel tuning, OS performance tools and profilers, and self-service tools like Vector. We help where we can. html [Introducing Nitro]: [link]

Tuning 61

Tuning AWS Best Practices Network 61

The Morning Paper

JULY 7, 2019

Software engineering for machine learning: a case study Amershi et al., More specifically, we’ll be looking at the results of an internal study with over 500 participants designed to figure out how product development and software engineering is changing at Microsoft with the rise of AI and ML. ICSE’19. A general process.

Software Engineering 92

Software Engineering Engineering Software Software 92

The Netflix TechBlog

JUNE 14, 2023

By the summer of 2020, many UI engineers were ready to move to GraphQL. The GraphQL shim enabled client engineers to move quickly onto GraphQL, figure out client-side concerns like cache normalization, experiment with different GraphQL clients, and investigate client performance without being blocked by server-side migrations.

Traffic 353

Traffic Latency Cache Metrics 353

Dynatrace

JULY 18, 2023

Efficient environment configuration at scale One of software engineers’ most significant challenges is managing the numerous tools and technologies required for the software product lifecycle. Stay tuned for more examples and easy-to-adopt automations provided in our public Github project.

Best Practices 195

Best Practices Code Infrastructure Latency 195

Dynatrace

NOVEMBER 4, 2019

As Dynatrace is a leader in Cloud monitoring, we have architected our Software Intelligence Platform specifically to complement Kubernetes by providing extensive functionality to tame the complexities and prevent performance issues that can occur across the development and deployment cycles. Don’t underestimate complexity.

Monitoring 100

Monitoring Cloud Metrics Code 100

Brendan Gregg

DECEMBER 30, 2017

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Our team looks after the BaseAMI, kernel tuning, OS performance tools and profilers, and self-service tools like Vector. We help where we can. html [Introducing Nitro]: [link]

Tuning 52

Tuning AWS Best Practices Network 52

Dynatrace

SEPTEMBER 29, 2021

Running containers : Docker Engine is a container runtime that runs in almost any environment: Mac and Windows PCs, Linux and Windows servers, the cloud, and on edge devices. Docker Engine is built on top containerd , the leading open-source container runtime, a project of the Cloud Native Computing Foundation (DNCF). Kubernetes.

Open Source 307

Open Source Traffic DevOps Cloud 307

Dynatrace

NOVEMBER 24, 2020

Do we have the right monitoring to understand the health and validation of architecture decisions and delivering on business expectations? through our AWS integrations and monitoring support. these metrics are also automatically analyzed by Dynatrace’s AI engine, Davis ). Stay tuned. How to get started.

AWS 146

AWS Artificial Intelligence Best Practices Lambda 146

Dynatrace

OCTOBER 8, 2020

We’ve worked closely with our partner AWS to deliver a complete, end-to-end picture of your cloud environment that includes monitoring support for all AWS services. By leveraging the AWS Lambda Extensions API , Dynatrace brings the unique value of its Davis AI-engine for fully automatic root cause analysis to AWS Lambda.

Lambda 300

Lambda AWS Programming Serverless 300

Dynatrace

MAY 17, 2022

A team looking for metrics, traces, and logs no longer needs to file a ticket to get their app monitored in their own environments. Using this new mode of injection means organizations can take advantage of everything Kubernetes has to offer, without worrying about monitoring outages, or disruptions in service. A look to the future.

Availability 322

Availability Scalability Cloud Metrics 322

Dynatrace

JULY 16, 2021

Many of our users are performance engineers using Cloud Automation Quality Gates to automate the analysis of their performance and load tests – saving hours of analysis time for each test they run. You run load tests monitored with Dynatrace and you want to automatically validate to eliminate the manual analysis effort.

DevOps 245

DevOps Open Source Cloud Azure 245

The Netflix TechBlog

JANUARY 13, 2022

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. Pensive relies on a regular expression based rules engine that has been curated over time. What’s Next? But our job is nowhere near done.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

Dynatrace

AUGUST 18, 2020

However, if you take a look at the current real user monitoring offerings on the market, you’ll find that while most solutions provide decent ways of detecting and analyzing JavaScript errors, only a few offer additional visibility into other error types. Fine tune what Davis AI considers for alerting. What’s next.

Analytics 227

Analytics Tuning Monitoring Website 227