The Netflix TechBlog

JANUARY 13, 2022

Troubleshooting these problems is not a trivial task and requires collecting logs and metrics from several different systems and analyzing them to identify the root cause. For every Flink job running as part of a Keystone pipeline, we monitor the metric indicating how far the Flink consumer lags behind the Kafka producer.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. 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. Monitoring. Monitoring Serverless Applications.

Serverless 57

Serverless Monitoring Lambda Latency 57

Dynatrace

MAY 17, 2023

We use monitored demo applications to deliver constant load and a defined set of business transactions. More precisely, this team uses AWS Fault Injection Simulator (FIS) to run fault injection to improve the application’s performance and resiliency. The queries are depicted below (sensitive data has been removed).

DevOps 196

DevOps Traffic Latency Best Practices 196

Adrian Cockcroft

AUGUST 1, 2022

photo by Adrian I gave a talk at Monitorama in Portland Oregon in June, which set out the idea that carbon is just another metric to monitor, and that in a few years most of the monitoring and performance tuning tools are going to be reporting and optimizing for carbon alongside latency, throughput, availability and cost.

AWS 52

AWS Virtualization DevOps Latency 52

The Netflix TechBlog

OCTOBER 19, 2020

Additionally, it became easy to provide deep links to different monitoring and deployment systems in Edgar due to consistent tagging. Our engineering teams tuned their services for performance after factoring in increased resource utilization due to tracing.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

JUNE 27, 2023

Logs complement metrics and enable automation Cloud practitioners agree that observability, security, and automation go hand in hand. Logs complement out-of-the-box metrics and enable automated actions for responding to availability, security, and other service events.

AWS 209

AWS Cloud Lambda Analytics 209

Dynatrace

DECEMBER 15, 2020

OpenTelemetry metrics are useful for augmenting the fully automatic observability that can be achieved with Dynatrace OneAgent. OpenTelemetry metrics add domain specific data such as business KPIs and license relevant consumption details. What is AWS Distro for OpenTelemetry? Dynatrace news.

AWS 183

AWS Metrics Analytics Government 183

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. Now Dynatrace is pleased to announce another industry first: automatic, end-to-end observability for AWS Lambda functions in Node.js and Python via traces.

Lambda 304

Lambda AWS Programming Serverless 304

Percona

DECEMBER 20, 2018

With the Percona Database Performance Blog, Percona staff and leadership work hard to provide the open source community with insights, technical support, predictions and metrics around multiple open source database software technologies. Linux OS Tuning for MySQL Database Performance. And making lists. About ZFS Performance.

Database 40

Database Tuning Performance AWS 40

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. At Dynatrace, we’re constantly improving our AWS monitoring capabilities. Monitor and understand additional AWS services. Get up to 300 new AWS metrics out of the box.

AWS 137

AWS Metrics IoT Storage 137

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. At Dynatrace, we’re constantly improving our AWS monitoring capabilities. Monitor and understand additional AWS services. Get up to 300 new AWS metrics out of the box.

AWS 134

AWS Metrics IoT Storage 134

Dynatrace

MAY 20, 2020

Dynatrace collects a huge number of metrics for each OneAgent-monitored host in your environment. Depending on the types of technologies you’re running on individual hosts, the average number of metrics is about 500 per computational node. Running metric queries on a subset of entities for live monitoring and system overviews.

Metrics 234

Metrics Operating System Tuning Monitoring 234

Dynatrace

JANUARY 19, 2021

With our enhanced AWS Lambda extension , we bring the power of Dynatrace PurePath 4 automatic tracing technology to serverless function observability. unique capabilities of the enhanced AWS Lambda extension include: An end-to-end distributed tracing view with full visibility?across Dynatrace news. AI-powered answers, provided by?

Lambda 219

Lambda Serverless AWS Mobile 219

Dynatrace

FEBRUARY 25, 2021

Since its introduction by AWS in 2014, AWS Lambda has revolutionized the compute space and boosted the entire serverless movement. This has led to the recent release of our new Lambda monitoring extension supporting Node.js, Java, and Python. A look under the hood of AWS Lambda. file uploaded to AWS Lambda.

Lambda 228

Lambda AWS Monitoring Serverless 228

Dynatrace

NOVEMBER 24, 2020

As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. AWS 5-pillars. Dynatrace and AWS. through our AWS integrations and monitoring support.

AWS 147

AWS Artificial Intelligence Best Practices Lambda 147

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

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 219

Analytics Monitoring Artificial Intelligence DevOps 219

Dynatrace

JUNE 26, 2020

Dynatrace Digital Experience Monitoring , as part of the Dynatrace Software Intelligence Platform, connects front-end monitoring and the outside-in user perspective with application performance to understand the impact of performance issues across your full stack on user experience and business outcomes. Virginia (AWS) ?,

Monitoring 260

Monitoring Azure AWS Traffic 260

Dynatrace

APRIL 21, 2022

To stay tuned, keep an eye on our release notes. Log Monitoring documentation. Starting with Dynatrace version 1.239, we have restructured and enhanced our Log Monitoring documentation to better focus on concepts and information that you, the user, look for and need. Log Monitoring. Legacy Log Monitoring v1 Documentation.

Azure 225

Azure Metrics AWS Monitoring 225

Dynatrace

DECEMBER 5, 2023

As organizations look to take ownership of their total ecological footprint and help mitigate climate change, it’s critically important for organizations to measure, monitor, and reduce their IT carbon footprints. Initiatives like the Carbon Impact app can be used to measure the footprint of monitored ARM-based hosts compared to x86 hosts.

Efficiency 274

Efficiency Architecture Energy Monitoring 274

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 180

Metrics Monitoring Database Network 180

Dynatrace

JANUARY 26, 2021

AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. AWS Cognito, for example, is billed as an always up-to-date authentication service that complies with rigorous industry standards. Connecting IoT devices (for example, AWS IoT Device Management ).

Serverless 245

Serverless Efficiency Lambda Azure 245

The Netflix TechBlog

JUNE 14, 2023

So, we relied on higher-level metrics-based testing: AB Testing and Sticky Canaries. To determine customer impact, we could compare various metrics such as error rates, latencies, and time to render. We spent the next few months diving into these high-level metrics and fixing issues such as cache TTLs, flawed client assumptions, etc.

Traffic 353

Traffic Latency Cache Metrics 353

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 241

Serverless Azure Monitoring Lambda 241

Dynatrace

MAY 1, 2020

The investment continues—we’re anticipating an upcoming release of the AWS Graviton2 processor , which has already been announced to be significantly more powerful than its predecessor. Here are details of the capabilities included in this release of OneAgent for Linux on the ARM platform: Deep-code monitoring.

Java 134

Java Hardware Tuning Metrics 134

Dynatrace

AUGUST 28, 2019

Observability is divided into three major verticals—metrics, logs, and distributed traces—the so-called three pillars of observability. With Dynatrace, you just install a single agent per monitored host to collect all relevant data with high fidelity. 1) Metrics. Dynatrace news. 2) Distributed traces.

Metrics 191

Metrics Monitoring Azure Code 191

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 144

Serverless Azure Monitoring Lambda 144

The Netflix TechBlog

APRIL 29, 2019

takes place in Amazon Web Services (AWS), whereas everything that happens afterwards (i.e., The service that orchestrates failover uses numpy and scipy to perform numerical analysis, boto3 to make changes to our AWS infrastructure, rq to run asynchronous workloads and we wrap it all up in a thin layer of Flask APIs. are you logged in?

Open Source 279

Open Source Network Infrastructure Big Data 279

Dynatrace

NOVEMBER 17, 2020

Methods include the observability capabilities of the platforms their applications run on; monitoring tools, OpenTelemetry, OpenTracing, OpenMonitor, OpenCensus, Jaeger, Zipkin, Log, CloudWatch, and more. Just one command instruments your entire application environment for monitoring. Automatic topology analysis.

Analytics 162

Analytics Technology Technology Cloud 162

The Netflix TechBlog

FEBRUARY 18, 2022

This separation allows us to tune system configuration and scaling policies independently for different event priorities and traffic patterns. Event Priority Based Clusters AWS Instance Clusters that subscribe to the corresponding queues with the same priority.

Systems 334

Systems Traffic Architecture Mobile 334

Dynatrace

NOVEMBER 10, 2022

The service mesh adds a layer of monitoring into the application to complement a microservices architecture. Infrastructure is provisioned and modified in code, eliminating much of the need for manual installation and tuning. Such an environment is challenging to monitor using traditional observability tools. Service mesh.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dotcom-Montior

OCTOBER 12, 2017

Integration Showcase: Dynatrace & Dotcom-Monitor’s LoadView. Dotcom-Monitor’s LoadView and Dynatrace are performance-engineering platforms by heart. Trial account for dotcom-monitor LoadView SaaS. EasyTravel demo application on AWS server. LoadView scripting tool Easystep on AWS server.

AWS 40

AWS Tuning Monitoring Servers 40

KeyCDN

OCTOBER 31, 2018

AWS Cloud 9 AWS Cloud 9 is ideal for developing PHP applications completely in the cloud. Additionally, DebugBar can monitor network traffic, inspect CSS elements and evaluate your JavaScript code. Best PHP Performance Monitoring Tools 1. Best PHP Security Tools 1.

Development 57

Development Open Source Java AWS 57

Dynatrace

NOVEMBER 25, 2019

At Dynatrace, we faced similar challenges as we went through our own transformation (and it was successful: we’ve been named furthest for Completeness of Vision and highest Ability to execute in the Garner Magic Quadrant for Application Performance Monitoring). Democratizing data – monitoring-as-a-self-service for biz, dev and ops.

DevOps 38

DevOps Software Software Best Practices 38

High Scalability

NOVEMBER 25, 2019

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. When it goes to production you would monitor it using the various internal tools like New Relic/Grafana, Kibana and if there is a regression you would fix it. AWS for builds.

Architecture 52

Architecture Cache Azure Storage 52