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

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

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. 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.

Open Source 247

Open Source Metrics Analytics Tuning 247

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 182

Efficiency Social Media Artificial Intelligence Cloud 182

DZone

MAY 15, 2020

Now that you’ve deployed your code, it’s time to monitor it, collect data, and analyze your metrics. You’ve just released your new app into the wild, live in production. Your job is done, right? Without application performance monitoring in place, you can’t accurately determine how well things are going. Are people using your app?

Metrics 246

Metrics Performance Development Monitoring 246

Dynatrace

MARCH 15, 2024

Understanding OpenTelemetry OpenTelemetry is an open, vendor-neutral standard for creating, collecting, and transferring telemetry data, like traces, metrics, and logs. So, stay tuned. Before we get into the specifics, let’s first recap the benefits OpenTelemetry offers and why using collectors is a best practice.

Open Source 272

Open Source Best Practices Infrastructure Tuning 272

Dynatrace

MAY 28, 2024

What about correlated trace data, host metrics, real-time vulnerability scanning results, or log messages captured just before an incident occurs? Stay tuned for even wider support of log data embedded seamlessly into the context of Dynatrace Apps, and better ways to get answers from logs without writing queries.

Analytics 182

Analytics Infrastructure Database Monitoring 182

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 183

Government Best Practices DevOps Engineering 183

The Netflix TechBlog

AUGUST 13, 2020

A metric crossed a threshold. You’re half awake and wondering, “Is there really a problem or is this just an alert that needs tuning? Over the years we’ve learned from on-call engineers about the pain points of application monitoring: too many alerts, too many dashboards to scroll through, and too much configuration and maintenance.

Monitoring 210

Monitoring Tuning Traffic Metrics 210

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

MAY 16, 2019

Are you applying AI to the unique metrics and KPIs that matter most to the success of your digital business? Do you provide dashboards and analytics that combine technical and business metrics that are specific to your business? Dynatrace out-of-the-box metrics generally focus on availability, failure rate, and performance.

Metrics 115

Metrics Analytics Programming Monitoring 115

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. Data Explorer “test your Metric Expression” for info result coming from the above metric.

Efficiency 213

Efficiency Traffic Tuning Metrics 213

Dynatrace

JULY 10, 2023

Here is what a few of these customers say about Dynatrace: “ Dynatrace has been a game changer in our ability to respond to incidents, identify areas for performance tuning, and gain meaningful data from user behavior analysis.” Director of infrastructure, software sector “ Strong technology and stronger people.

Monitoring 209

Monitoring Retail Performance Government 209

Dynatrace

FEBRUARY 8, 2021

Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. The “three pillars of observability,” metrics, logs, and traces, still don’t tell the whole story. Now, Dynatrace applies Davis, its AI engine, to monitor the new log sources.

Cloud 254

Cloud Azure Analytics AWS 254

The Netflix TechBlog

SEPTEMBER 18, 2020

Analytics at Netflix: Who We Are and What We Do An Introduction to Analytics and Visualization Engineering at Netflix by Molly Jackman & Meghana Reddy Explained: Season 1 (Photo Credit: Netflix) Across nearly every industry, there is recognition that data analytics is key to driving informed business decision-making.

Analytics 240

Analytics Engineering Data Engineering Tuning 240

The Netflix TechBlog

NOVEMBER 6, 2023

Building in-video search To build such a visual search engine, we needed a machine learning system that can understand visual elements. To train these parameters as well as fine-tune the pretrained image-text model weights, we leverage in-house datasets that pair shots of varying durations with rich textual descriptions of their content.

Media 225

Media Social Media Tuning Efficiency 225

Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. “It’s quite a big scale,” said an engineer at the financial services group.

Analytics 177

Analytics Infrastructure Storage Efficiency 177

The Netflix TechBlog

JUNE 7, 2021

Berkeley Packet Filter (BPF) is an in-kernel execution engine that processes a virtual instruction set, and has been extended as eBPF for providing a safe way to extend kernel functionality. The Flow Exporter also publishes various operational metrics to Atlas. What is BPF? So how do we ingest and enrich these flows at scale ?

Network 325

Network Transportation AWS Cloud 325

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

The Netflix TechBlog

JUNE 13, 2023

By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. They enable us to further fine-tune and configure the system, ensuring the new changes are integrated smoothly and seamlessly.

Traffic 279

Traffic Metrics Systems Strategy 279

Dynatrace

FEBRUARY 9, 2022

Site Reliability Engineering (SRE) relies on observability and the automated setup of observability to find answers to questions like, “Did my deployment work?”, “Did the change improve our users’ experience?” , or “Did the last update cause the application issue or was it something else?” Dynatrace enables software intelligence as code.

Code 205

Code Software Software DevOps 205

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

Dynatrace

MAY 17, 2022

From a cost perspective, internal customers waste valuable time sending tickets to operations teams asking for metrics, logs, and traces to be enabled. A team looking for metrics, traces, and logs no longer needs to file a ticket to get their app monitored in their own environments. This approach is costly and error prone.

Availability 305

Availability Scalability Cloud Metrics 305

The Netflix TechBlog

FEBRUARY 18, 2022

Personalized Experience Refresh Netflix Recommendation engine continuously refreshes recommendations for every member. This separation allows us to tune system configuration and scaling policies independently for different event priorities and traffic patterns. If this is something that excites you, we’d love for you to join us.

Systems 334

Systems Traffic Architecture Mobile 334

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. Creating a dashboard reporting your relevant KPI. Warm-up phase.

Metrics 159

Metrics Tuning Programming Systems 159

The Netflix TechBlog

NOVEMBER 14, 2023

The Data Engineer does not need to perform any manual intervention in this case and can thus focus on more important things! Stay tuned for a new post on this! This helps overwrite data only when required and minimizes unnecessary reprocessing.

Tuning 244

Tuning Processing C++ Efficiency 244

Dynatrace

JULY 24, 2023

Imagine having an AI engine that comprehends the complete context of the transaction and intelligently determines whether to send a discount code—and which one to send. Full contextual awareness helps the AI engine make informed decisions. Has the user purchased this product before?

DevOps 209

DevOps Traffic Efficiency Servers 209

Dynatrace

MARCH 15, 2024

Understanding OpenTelemetry OpenTelemetry is an open, vendor-neutral standard for creating, collecting, and transferring telemetry data, like traces, metrics, and logs. So, stay tuned. Before we get into the specifics, let’s first recap the benefits OpenTelemetry offers and why using collectors is a best practice.

Open Source 130

Open Source Best Practices Infrastructure Tuning 130

Dynatrace

APRIL 22, 2022

For example, OpenTelemetry for instrumenting microservices, Fluentd for collecting logs, and Prometheus for collecting metrics. This context comes from a common topology of the monitored environment based on data from metrics, logs, and traces. Nonetheless, they still want to collect metrics, traces, and logs.

Open Source 165

Open Source Metrics Cloud Tuning 165

Dynatrace

DECEMBER 9, 2020

In these circumstances, Site Reliability Engineering teams face two big challenges: Measuring uptime is not enough anymore. Which metrics are relevant for your business, anyway? Modern observability tools provide many metrics, but which ones are really important for your business?

Metrics 147

Metrics Engineering Google Monitoring 147

Dynatrace

OCTOBER 8, 2020

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. Full integration with existing Dynatrace capabilities for AWS Lambda (for example, metric ingestion via AWS Cloud Watch). So please stay tuned! and Python via traces.

Lambda 283

Lambda AWS Programming Serverless 283

The Netflix TechBlog

FEBRUARY 13, 2024

Safe software deployment, canary testing, and play-delay Software engineering readers of this blog are likely familiar with unit, integration and load testing, as well as other testing practices that aim to prevent bugs from reaching production systems. Stay tuned — our next post will develop sequential testing procedures for count data.

Testing 239

Testing Software Software Metrics 239

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 192

Monitoring Social Media IoT Metrics 192

The Netflix TechBlog

AUGUST 22, 2019

A key responsibility of Netflix engineers is identifying gaps and pain points in the development and operation of services. First, an engineer would launch an EC2 instance and wait for the instance to come online. In the canary stage, Kayenta is used to compare metrics between a baseline (current AMI) and the canary (new AMI).

DevOps 207

DevOps AWS Tuning Infrastructure 207

The Netflix TechBlog

NOVEMBER 2, 2020

As engineers at Netflix, we are constantly reevaluating how to redesign traffic management. In Netflix engineering, we’re driven by ensuring Netflix is there when you need it to be. Those two metrics are approximate indicators of failures and latency. Global throttling Another case is when Zuul itself is in trouble.

Traffic 252

Traffic Metrics Infrastructure Architecture 252

Dynatrace

JUNE 6, 2019

Several distributions of Kubernetes rely on containerd as their default container runtime, including the IBM Kubernetes Service (IKS) and Google Kubernetes Engine (GKE). This category hosts many single-purpose projects and solutions that focus either on metrics, traces, or logs. So stay tuned.

Monitoring 164

Monitoring Tuning Metrics Analytics 164

Dynatrace

SEPTEMBER 15, 2020

Without automation, Performance engineers and developers can no longer ensure that applications perform as planned, and costs are minimized.”. The integration with Dynatrace has two sides: first, it pulls metrics from Dynatrace while Akamas is executing an experiment. or do you pull different percentiles?

Performance 178

Performance Java Metrics Cloud 178