The Netflix TechBlog

MAY 4, 2023

The second phase involves migrating the traffic over to the new systems in a manner that mitigates the risk of incidents while continually monitoring and confirming that we are meeting crucial metrics tracked at multiple levels. It provides a good read on the availability and latency ranges under different production conditions.

Traffic 339

Traffic Latency Tuning Systems 339

DZone

JUNE 15, 2023

In order to gain insight into these problems, we gather a range of metrics and logs to monitor the utilization of system resources such as CPU, memory, and application-specific latencies. It is worth noting that this data collection process does not impact the performance of the application.

Latency 246

Latency Storage Strategy Metrics 246

Dynatrace

MAY 31, 2023

As a result, site reliability has emerged as a critical success metric for many organizations. By automating and accelerating the service-level objective (SLO) validation process and quickly reacting to regressions in service-level indicators (SLIs), SREs can speed up software delivery and innovation. Service-level objectives (SLOs).

Best Practices 227

Best Practices DevOps Latency Metrics 227

Dynatrace

NOVEMBER 28, 2022

The new Amazon capability enables customers to improve the startup latency of their functions from several seconds to as low as sub-second (up to 10 times faster) at P99 (the 99th latency percentile). This can cause latency outliers and may lead to a poor end-user experience for latency-sensitive applications.

Lambda 229

Lambda AWS Serverless Latency 229

Dynatrace

MARCH 16, 2023

Enterprises now have access to myriad metrics they can track and measure, but an abundance of choice doesn’t equal actionable insight. Indeed, 54% of SREs say they handle too many metrics, making it increasingly difficult to find the most relevant ones for a particular service, according to the Dynatrace State of SRE Report.

DevOps 220

DevOps Latency Metrics Traffic 220

Dynatrace

MARCH 29, 2024

” The Dynatrace Kubernetes app also provides process ownership data, ensuring information is directed to the right team and root causes are addressed. ” First, Akamas collects metrics, then recommends configuration improvements and applies these recommendations. . “We can see that one node has memory pressure.

Engineering 231

Engineering DevOps Operating System Open Source 231

Dynatrace

APRIL 7, 2023

Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes. Lambda functions allow teams to run code for applications, back-end services, streaming processing, or any layer of the stack with less overhead. Return larger payload sizes.

Lambda 221

Lambda AWS Serverless Latency 221

Dynatrace

JUNE 7, 2023

Advanced AI applications using OpenAI services don’t just forward user input to OpenAI models; they also require client-side pre- and post-processing. It shows critical SLOs for latency and availability, as well as the most important OpenAI generative AI service metrics, such as response time, error count, and the overall number of requests.

Monitoring 168

Monitoring Latency Metrics Azure 168

Dynatrace

JANUARY 31, 2024

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. RAG augments user prompts with relevant data retrieved from outside the LLM.

Cache 209

Cache Azure Infrastructure Monitoring 209

Dynatrace

SEPTEMBER 13, 2023

This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments. These workflows also utilize Davis® , the Dynatrace causal AI engine, and all your observability and security data across all platforms, in context, at scale, and in real-time.

AWS 252

AWS Efficiency Azure Cloud 252

Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. The IT infrastructure, services, and applications that enable processes for risk management must perform optimally. Automated risk management workflows, processes, and decisions.

Analytics 206

Analytics Infrastructure Efficiency Technology 206

Dynatrace

MAY 19, 2022

However, many teams struggle with knowing which ones to use and how to incorporate them into the processes. Below, several Dynatrace customers shared their SLO management journey and discussed the resulting dashboards they rely on daily to manage their mission-critical business processes and applications. What are SLOs?

Automotive 274

Automotive Latency Architecture Azure 274

The Netflix TechBlog

MARCH 10, 2023

Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case. Data Sharding strategy in elasticsearch is updated to provide low search latency (as described in blog post) Design of new Cassandra reverse indices to support different sets of queries.

Media 237

Media Traffic Processing Design 237

Dynatrace

SEPTEMBER 18, 2020

High latency or lack of responses. You receive an alert message from Dynatrace (your infrastructure observability hub) letting you know that the average response latency of all deployed APIs has tripled. Looking at the key metrics of the deployment does not reveal anything out of the ordinary. But where does the fault lie?

Infrastructure 192

Infrastructure Latency Metrics Analytics 192

Dynatrace

MAY 17, 2023

To ensure high standards, it’s essential that your organization establish automated validations in an early phase of the software development process—ideally when code is written. In this case, the four golden signals (latency, traffic, errors, and saturation) are derived from span attributes and DQL metric queries via Dynatrace Grail™.

DevOps 192

DevOps Traffic Latency Best Practices 192

Dynatrace

NOVEMBER 6, 2023

When an incident occurs, developers need to know what data to look at, where the incident occurred, and other relevant metrics. In this example, Grabner saw that the adservice workload was running on EKS and could see the relevant metrics, logs, services, events, error logs, and more. I call this pre-crime alerting,” said Grabner. “I

Development 267

Development DevOps Programming Cloud 267

The Netflix TechBlog

MARCH 7, 2024

In addition to Spark, we want to support last-mile data processing in Python, addressing use cases such as feature transformations, batch inference, and training. We use metaflow.Table to resolve all input shards which are distributed to Metaflow tasks which are responsible for processing terabytes of data collectively.

Systems 226

Systems Media Cache Open Source 226

Dynatrace

APRIL 25, 2023

Higher latency and cold start issues due to the initialization time of the functions. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces. Enable faster development and deployment cycles by abstracting away the infrastructure complexity.

Serverless 213

Serverless Lambda Azure AWS 213

The Netflix TechBlog

AUGUST 30, 2021

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. In-Order Processing The semantics of correct device information updates ingestion requires that messages be consumed in the order that they are produced.

Latency 213

Latency Traffic Transportation Hardware 213

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Real-time file processing, for quickly indexing files, processing logs, and validating content.

Lambda 183

Lambda AWS Serverless Hardware 183

Dynatrace

FEBRUARY 2, 2022

service availability with <50ms latency for an application with no revenue impact. A broken SLO with no owner can take longer to remediate and is more likely to recur compared to an SLO with an owner and a well-defined remediation process. To avoid this, start the SLO discussion early in the design process.

DevOps 201

DevOps Metrics Best Practices Latency 201

The Netflix TechBlog

SEPTEMBER 8, 2020

To prepare ourselves for a big change in the tech stack of our endpoint, we decided to track metrics around the time taken to respond to queries. After some consultation with our backend teams, we determined the most effective way to group these metrics were by UI screen.

Latency 233

Latency Cache Java Traffic 233

Dynatrace

JUNE 8, 2020

Dynatrace Mission Control collects the health monitoring observability metrics for both our Dynatrace SaaS as well as Dynatrace Managed customers. Metrics are provided for general host info like CPU usage and memory consumption, OneAgent traffic, and network latency. Currently, only metrics for individual nodes are available.

Software 165

Software Software Programming Metrics 165

Dynatrace

DECEMBER 2, 2021

And why have SLOs and SLIs become so important as teams automate processes to consistently meet SLAs and error budgets? As defined by Gartner , service-level objectives are an agreed-upon target within an SLA that must be achieved for each activity, function, and process to provide the best opportunity for customer success.

Metrics 196

Metrics Best Practices DevOps Infrastructure 196

Dynatrace

APRIL 26, 2022

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. Expanding on the traditional observability pillars of metrics, logs, and traces, DEM collects user experience data to complete the end-to-end picture.

Monitoring 209

Monitoring Social Media IoT Metrics 209

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. So, what is ITOps? What is ITOps? Performance.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

Speed Curve

FEBRUARY 5, 2024

However, that pesky 20% on the back end can have a big impact on downstream metrics like First Contentful Paint (FCP), Largest Contentful Paint (LCP), and any other 'loading' metric you can think of. desc="Time to process request at origin" NOTE: This is not a new API. That performance golden rule still holds true today.

Servers 57

Servers Cache Retail Benchmarking 57

Dynatrace

MAY 5, 2021

As more organizations respond to the pressure to release better software faster, there is an increasing need to build quality gates into every stage of BizDevOps processes , from early development to deployment. Automating quality gates creates reliable checks and balances and speeds up the process by avoiding manual intervention.

Benchmarking 188

Benchmarking Latency Speed Software 188

Scalegrid

JANUARY 19, 2024

Key Takeaways Rollbacks in MongoDB are triggered by disruptions in the replication process due to primary node crashes, network partitions, or other failures, which can lead to substantial data loss and inconsistencies. With direct, actionable insights, prepare to navigate the complexities of rollbacks with confidence.

Database 130

Database Network Servers Monitoring 130

The Netflix TechBlog

OCTOBER 19, 2020

Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices. The process started with manual pull of member account information that was part of the session.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Adrian Cockcroft

JANUARY 29, 2023

The mean and percentile measurements hide this structure, but the rest of this post will show how the structure can be measured and analyzed so that you can figure out a useful model of your system, understand what is driving the long tail of latencies and come up with better SLAs and measures of capacity.

Lambda 98

Lambda Latency Cache Traffic 98

Alex Russell

FEBRUARY 28, 2022

The metrics that we report against implicitly cleave these into different "camps", leaving us thinking about pre- and post-load as distinct universes. Input is received and processed. The chief effect of the architectural difference is to shift the distribution of latency within the loop. But what if they aren't?

Performance 104

Performance Latency Architecture Network 104

Dynatrace

JULY 6, 2020

While the Azure overview page in Dynatrace has long featured monitoring data detected by OneAgent, with additional metrics pulled from Azure Monitor and topology information from Azure Resource Graph, the overview page now gives you quick access to the newly added services, which are listed under Supporting services. What’s next?

Azure 150

Azure Cloud Big Data Virtualization 150

The Morning Paper

OCTOBER 6, 2019

Prediction serving latency matters. Booking.com estimate the value delivered by a model through randomized controlled trials which measure the impact on business metrics. clicks) that fails to convert into the desired business metric (e.g. clicks) that fails to convert into the desired business metric (e.g.

Latency 102

Latency Metrics Cache Design 102

Percona

JUNE 22, 2023

This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index. Replication lag can occur due to various factors such as network latency, system resource limitations, complex transactions, or heavy write loads on the primary/master database.

Performance 102

Performance Monitoring Traffic Database 102

Scalegrid

MARCH 22, 2024

Crafting Your Multi-Cloud Blueprint Formulating a comprehensive multi-cloud framework is an intricate process that requires a business’s specific requirements, choosing suitable cloud services, and optimizing for performance and affordability. They can also bolster uptime and limit latency issues or potential downtimes.

Strategy 130

Strategy Cloud Government Innovation 130