Dynatrace

JULY 18, 2023

As software development grows more complex, managing components using an automated onboarding process becomes increasingly important. While developers edit files, a simple CLI command applies configurations to Dynatrace and, for example, automates the setup of a quality gate, including workflows and Site Reliability Guardians.

Best Practices 186

Best Practices Code Infrastructure Latency 186

Dynatrace

JANUARY 26, 2021

REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The Serverless Process. AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. Building APIs (for example, Amazon API Gateway ).

Serverless 242

Serverless Efficiency Lambda Azure 242

Scalegrid

DECEMBER 14, 2023

For example, your payment history might be on one database cluster and your analytics records on another cluster. Typical applications are interacting with different database servers based on the business logic. The default time-outs can significantly influence the behavior of your application when there are network errors. x+ in Java).

Java 130

Java Network Servers Database 130

Dynatrace

JULY 24, 2023

We will also explore the evolution of DevOps automation and the significance of data-driven answers in unlocking streamlined, automated DevOps and SRE processes. Business process automation Business process automation is the foundation for improving operational efficiency. This is what answer-driven automation is all about.

DevOps 217

DevOps Traffic Efficiency Servers 217

Dynatrace

MAY 17, 2023

Think about items such as general system metrics (for example, CPU utilization, free memory, number of services), the connectivity status, details of our web server, or even more granular in-application tasks like database queries. Let’s take our previous screenshot as an example.

Metrics 168

Metrics Monitoring Database Network 168

Dynatrace

APRIL 25, 2023

For example, to handle traffic spikes and pay only for what they use. Higher latency and cold start issues due to the initialization time of the functions. Data analysis : how to process, aggregate and query observability data from serverless functions effectively, accurately, and comprehensively?

Serverless 203

Serverless Lambda Azure AWS 203

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 137

Tuning Cache Servers Benchmarking 137

Dynatrace

SEPTEMBER 23, 2020

Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. As a consequence, the automatic updates as well as the automatic deep-code monitoring injection processes are even more stable. Stay tuned for upcoming news about these changes.

Storage 146

Storage Latency Operating System Network 146

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 179

Benchmarking Latency Speed Software 179

Percona

AUGUST 10, 2018

Autovacuum is one of the background utility processes that starts automatically when you start PostgreSQL. As you see in the following log, the postmaster (parent PostgreSQL process) with pid 2862 has started the autovacuum launcher process with pid 2868. This may help tune your table level autovacuum settings appropriately.

Tuning 45

Tuning Cache Database Storage 45

Dynatrace

DECEMBER 2, 2021

And why have SLOs and SLIs become so important as teams automate processes to consistently meet SLAs and error budgets? For example, an SLA between a web host provider and customer can guarantee 99.95% uptime for all web services of a company over a year. For example, if your SLO guarantees 99.5% But what are SLOs?

Metrics 187

Metrics Best Practices DevOps Infrastructure 187

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

Dynatrace

APRIL 26, 2022

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). What DEM and business observability mean for the bottom line.

Monitoring 200

Monitoring Social Media IoT Metrics 200

The Netflix TechBlog

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which The process started with manual pull of member account information that was part of the session. We use Mantis for processing the stream of collected traces, and we use Cassandra for storing traces.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Percona

MARCH 23, 2023

As datasets continue to grow in size, the amount of RAM required to store and process these datasets also increases. Each of them has its own limits and advantages: for example, XFS is fast in deleting large files, while EXT4 can provide better performance on fast SSD drives, and ZFS on Linux has progressed a lot.

Performance 127

Performance Hardware Tuning Storage 127

Percona

APRIL 17, 2023

The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place. The CFQ works well for many general use cases but lacks latency guarantees. Spoiler alert: This post focuses on MongoDB 3.6.X 25.84 - Total 21.04

Best Practices 52

Best Practices Design Tuning Database 52

The Netflix TechBlog

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

Processing 229

Processing Media Latency Innovation 229

The Morning Paper

NOVEMBER 10, 2019

Here are the bombshell paragraphs: Our datacenter applications seek ever more CPU-efficient and lower-latency communication, which Pony Express delivers. The desire for CPU efficiency and lower latencies is easy to understand. When under/over provisioning is not a concern, this can deliver very low latency. Emphasis mine).

Network 92

Network Transportation Latency Entertainment 92

The Morning Paper

JULY 7, 2019

Previously on The Morning Paper we’ve looked at the spread of machine learning through Facebook and Google and some of the lessons learned together with processes and tools to address the challenges arising. A general process. The generic machine learning process looks like this: ( Enlarge ). ICSE’19.

Software Engineering 92

Software Engineering Engineering Software Software 92

All Things Distributed

NOVEMBER 29, 2017

As there are few individuals with this expertise, an easier process presents a significant opportunity for companies who want to accelerate their ML usage. After the dataset is created, you must scale the processing to handle the data, which can often be a blocker. However, many developers find them difficult to build and deploy.

Tuning 94

Tuning AWS Scalability Infrastructure 94

Dotcom-Montior

NOVEMBER 11, 2020

Developers don’t have to put in additional time to fine-tuning the system, or rely on other teams for support, as it’s done automatically with the cloud provider. Another factor is that serverless applications are distributed, and sometimes across different cloud platforms, making it difficult to manage in the process.

Serverless 57

Serverless Monitoring Lambda Latency 57

The Netflix TechBlog

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Processing 210

Processing Big Data Efficiency Engineering 210

The Morning Paper

MAY 21, 2019

If extra provisioned capacity was needed to offset a slowdown for example then this could easily offset all potential TCO savings. This boils down to a single digit µs latency toleration in the tail for far memory, and in addition to security and privacy concerns, rules out remote memory solutions. ML-based auto-tuning.

Software 78

Software Software Google Hardware 78

Abhishek Tiwari

JULY 12, 2018

These data pipelines can process data at petabytes scale and to some extent, their success can be attributed to an army of engineers devoted to build and maintain internal data pipelines. Depending on frameworks, data processing units (a.k.a A data pipeline can process data in a different order than they were received.

Latency 63

Latency Analytics Scalability Engineering 63

Brendan Gregg

OCTOBER 8, 2018

Screenshot: tracing read latency for PID 181: # bpftrace -e 'kprobe:vfs_read /pid == 30153/ { @start[tid] = nsecs; } kretprobe:vfs_read /@start[tid]/ { @ns = hist(nsecs - @start[tid]); delete(@start[tid]); }'. ^C Some one-liners: # New processes with arguments bpftrace -e 'tracepoint:syscalls:sys_enter_execve { join(args->argv); }'.

C++ 110

C++ Virtualization Programming Latency 110

HammerDB

OCTOBER 18, 2019

cpupower frequency-info analyzing CPU 0: driver: intel_pstate CPUs which run at the same hardware frequency: 0 CPUs which need to have their frequency coordinated by software: 0 maximum transition latency: Cannot determine or is not supported. GHz over the snapshot time with a couple of examples below. hardware limits: 1000 MHz - 4.00

Benchmarking 63

Benchmarking Performance Hardware C++ 63

IO River

NOVEMBER 15, 2023

For example, if a request activates a rule designed to block SQL injection attempts, the WAF might automatically block that request, preventing it from reaching your web application.‍Security It's an ongoing, iterative process. The action isn't arbitrary; it's defined by the specific rule that the request triggers.

Traffic 52

Traffic Network Logistics Architecture 52

KeyCDN

AUGUST 15, 2019

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. Bottlenecks can occur, for example, if you have a sudden surge in traffic that your servers are not equipped to handle. What is Performance Testing?

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

O'Reilly Software

APRIL 4, 2018

We live in the era of the connected experience, where our daily interactions with the world can be digitized, collected, processed, and analyzed to generate valuable insights. Accumulating all this data to process overnight is not an option anymore. Do we need to process each record individually? Process tolerance.

Architecture 80

Architecture Scalability Google Operating System 80

IO River

NOVEMBER 2, 2023

For example, if a request activates a rule designed to block SQL injection attempts, the WAF might automatically block that request, preventing it from reaching your web application.‍Security Flywheel‍‍When it comes to fortifying web applications, think of security as a flywheel—an ever-revolving cycle that gains momentum with each turn.

Traffic 40

Traffic Network Logistics Architecture 40

O'Reilly

JANUARY 16, 2024

For a concrete example of what such a personalized podcast felt like, I started one conversation by straight-up asking ChatGPT to keep me awake while I was driving in Southern California from Los Angeles to San Diego. Whenever I paused for too long, ChatGPT would interpret what I said so far as my request and start processing it.

Entertainment 73

Entertainment Internet Internet Design 73

All Things Distributed

APRIL 9, 2015

The Amazon ML console and API provide data and model visualization tools, as well as wizards to guide you through the process of creating machine learning models, measuring their quality and fine-tuning the predictions to match your application requirements. Today Amazon Lambda is entering General Availability.

Lambda 122

Lambda Cloud IoT AWS 122

The Netflix TechBlog

JUNE 13, 2023

Replay traffic testing gives us the initial foundation of validation, but as our migration process unfolds, we are met with the need for a carefully controlled migration process. A process that doesn’t just minimize risk, but also facilitates a continuous evaluation of the rollout’s impact.

Traffic 279

Traffic Metrics Systems Strategy 279

The Netflix TechBlog

MARCH 1, 2021

It supports both high throughput services that consume hundreds of thousands of CPUs at a time, and latency-sensitive workloads where humans are waiting for the results of a computation. For example, a video encoding service is built of components that are scale-agnostic: API, workflow, and functions.

Serverless 228

Serverless Media Latency Social Media 228

The Netflix TechBlog

JULY 26, 2021

Operational Reporting is a reporting paradigm specialized in covering high-resolution, low-latency data sets, serving detailed day-to-day activities¹ and processes of a business domain. See example below. With the latest Data Mesh Platform, data movement in Netflix Studio reaches a new stage.

Big Data 253

Big Data Government Analytics Processing 253

Brendan Gregg

OCTOBER 7, 2018

Screenshot: tracing read latency for PID 181: # bpftrace -e 'kprobe:vfs_read /pid == 30153/ { @start[tid] = nsecs; } kretprobe:vfs_read /@start[tid]/ { @ns = hist(nsecs - @start[tid]); delete(@start[tid]); }'. ^C Some one-liners: # New processes with arguments bpftrace -e 'tracepoint:syscalls:sys_enter_execve { join(args->argv); }'.

C++ 40

C++ Virtualization Programming Latency 40

The Netflix TechBlog

OCTOBER 27, 2020

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 243

Latency Storage Big Data Tuning 243