The Netflix TechBlog

JUNE 7, 2021

Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the cloud network infrastructure to address the identified problems. After several iterations of the architecture and some tuning, the solution has proven to be able to scale.

Network 325

Network Transportation AWS Cloud 325

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. Stay tuned for an upcoming blog series where we’ll give you a more hands-on walkthrough of how to ingest any kind of data from StatsD, Telegraf, Prometheus, scripting languages, or our integrated REST API.

Open Source 247

Open Source Metrics Analytics Tuning 247

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 255

Efficiency Architecture Energy Monitoring 255

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. Dynatrace can monitor AWS Lambda functions automatically, just like any other service. With these steps complete, your Lambda functions are now fully monitored.

Lambda 283

Lambda AWS Programming Serverless 283

Dynatrace

DECEMBER 15, 2020

The Dynatrace platform automatically integrates OpenTelemetry data, thereby providing the highest possible scalability, enterprise manageability, seamless processing of data, and, most importantly the best analytics through Davis (our AI-driven analytics engine), and automation support available. Seeing is believing.

AWS 170

AWS Metrics Analytics Government 170

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Sharded time-series collections for improved scalability and performance. Introduction of clustered collections for optimized analytical queries. Ready to supercharge your MongoDB experience?

Best Practices 85

Best Practices Hardware Tuning Scalability 85

Dynatrace

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. The service mesh adds a layer of monitoring into the application to complement a microservices architecture. Service mesh. What are cloud-native services?

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

SEPTEMBER 29, 2021

This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. Built-in monitoring.

Open Source 290

Open Source Traffic DevOps Cloud 290

Dynatrace

JANUARY 19, 2021

Actionable analytics across the?entire The new Dynatrace AWS Lambda extension further improves enterprise-grade scalability with low memory overhead, effortless manageability, continuous automation, and granular access-permission controls that support the structures of cloud-native applications teams within large organizations.

Lambda 198

Lambda Serverless AWS Mobile 198

Dynatrace

DECEMBER 22, 2019

You can use these services in combinations that are tailored to help your business move faster, lower IT costs, and support scalability. At Dynatrace, we’re constantly improving our AWS monitoring capabilities. Monitor and understand additional AWS services. Amazon Kinesis Data Analytics. Updated AWS monitoring policy.

AWS 134

AWS Metrics IoT Storage 134

Dynatrace

DECEMBER 22, 2019

You can use these services in combinations that are tailored to help your business move faster, lower IT costs, and support scalability. At Dynatrace, we’re constantly improving our AWS monitoring capabilities. Monitor and understand additional AWS services. Amazon Kinesis Data Analytics. Updated AWS monitoring policy.

AWS 132

AWS Metrics IoT Storage 132

Dynatrace

MAY 17, 2023

The next level of observability: OneAgent In the first two parts of our series, we used OpenTelemetry to manually instrument our application and send the telemetry data straight to the Dynatrace analytics back end. OneAgent is the native telemetry data collector and monitoring solution of Dynatrace.

Metrics 163

Metrics Monitoring Database Network 163

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. An additional implication of a lenient sampling policy is the need for scalable stream processing and storage infrastructure fleets to handle increased data volume. Storage: don’t break the bank!

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

JUNE 9, 2021

By marrying observability agents with security analytics, Runtime Vulnerability Assessment can give you much more precise risk assessment, because the tools understand how third-party code is (or is not) being used by the application, as well as internet exposures and the business importance of each application.

Open Source 177

Open Source Entertainment Tuning Internet 177

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. Data analytics: With the right extensions and configurations, PostgreSQL can support analytical processing and reporting. PostgreSQL is open source relational database management software. What is PostgreSQL used for?

Open Source 77

Open Source Healthcare Social Media Database 77

Dynatrace

DECEMBER 9, 2020

We’re happy to announce that Dynatrace now provides guidance and templates for setting up Service-Level Objectives (SLOs) with the right metrics, gives you all the facts, and combines this with the powerful analytics of problem root-cause detection. Each action button in the SLO wizard selects one of these important templates.

Metrics 147

Metrics Engineering Google Monitoring 147

Dynatrace

DECEMBER 8, 2020

It inherits the automation, AI, scalability, and enterprise-grade robustness of the Dynatrace platform. With new RASP capabilities of the Dynatrace OneAgent, the same trusted approach extends the Dynatrace platform to application security: automatic, intelligent, highly scalable. Stay tuned – this is only the start.

Cloud 280

Cloud Open Source Internet Internet 280

IO River

NOVEMBER 2, 2023

Now, if a user wants to book a ride, the Load Balancer routes that specific request to the “ordering” microservice.This modular approach offers advantages like scalability, resilience, faster deployments, flexibility in and technology choices.‍At Do you just give up the traffic trying to access it while you work on it?

Traffic 52

Traffic Cache Servers Latency 52

HammerDB

OCTOBER 12, 2018

On the other hand if testing MySQL or MariaDB for the ability to handle a more complex workload such as the use of stored procedures and in particular if looking to compare scalability with a traditional database then HammerDB is focused more towards testing those enterprise features. monitoring. monitoring. innodb_read_only=0.

Best Practices 40

Best Practices Scalability Performance C++ 40

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. It can be used to power new analytics, insight, and product features. If tuned for performance, there is a good change reliability is compromised - and vice versa. Building data pipelines can offer strategic advantages to the business.

Latency 63

Latency Analytics Scalability Engineering 63

Dynatrace

JUNE 13, 2019

Data analysis within large and highly dynamic microservices environments is the biggest challenge that Application Performance Monitoring (APM) vendors face today. Dynatrace provides the widest monitoring coverage of software frameworks that are used in modern enterprise applications. Why are we doing this?

IoT 44

IoT C++ Analytics Java 44

IO River

NOVEMBER 2, 2023

Maintenance Without MayhemWhat happens when one of your servers/data centers needs a tune-up? Or should you let the traffic temporarily access another server/data center until you’re finished with the tune-up?The Each of these is managed by a separate microservice that resides on its own origin server(s).

Traffic 40

Traffic Cache Network Servers 40

Rigor

SEPTEMBER 3, 2019

There are many tools available that can help you monitor, manage, and optimize your website and application performance: APM, synthetics, RUM, alerting, alert integrations, and more. How are you monitoring end-user performance today? STEP 2: Use Synthetic Monitoring to Baseline Your Current Performance. Chrome Developer tools.

Website 74

Website Cache Ecommerce Traffic 74

Percona

AUGUST 30, 2018

Because recognizing if the workload is read intensive or write intensive will impact your hardware choices, database configuration as well as what techniques you can apply for performance optimization and scalability. The illustrations below are taken from Percona Monitoring and Management (PMM) while running this benchmark.

Benchmarking 47

Benchmarking Database Operating System Architecture 47

Percona

JANUARY 14, 2019

What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node).

Database 40

Database Analytics Blockchain Healthcare 40

The Netflix TechBlog

JANUARY 10, 2024

Reloaded was well-architected, providing good stability, scalability, and a reasonable level of flexibility. In addition to the scalability and the stability that the developers already enjoyed in Reloaded, Cosmos aimed to significantly increase system flexibility and feature development velocity. depending on the use case.

Processing 229

Processing Media Latency Innovation 229

The Netflix TechBlog

NOVEMBER 20, 2023

As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge. Maestro is highly scalable and extensible to support existing and new use cases and offers enhanced usability to end users. There are three common issues that the dataset owners usually face.

Processing 210

Processing Big Data Efficiency Engineering 210

High Scalability

NOVEMBER 25, 2019

For highly scalable services, going outside of java process is costly, even to go to Memcache or Redis so we do in-memory cache with varying TTL for some highly used data structures like access control computation, feature flags, routing metadata etc. Load Balancers / Reverse Proxy. Message Queues. Google Pub/Sub. Deployment Management.

Architecture 52

Architecture Cache Azure Storage 52