High Scalability

FEBRUARY 19, 2021

As a basis for that discussion, first some definitions: Dependability The degree to which a product or service can be relied upon. This means a system that is not merely available but is also engineered with extensive redundant measures to continue to work as its users expect. Availability and Reliability are forms of dependability.

Engineering 165

Engineering Systems Availability Scalability 165

Dynatrace

NOVEMBER 10, 2021

In a recent FedScoop panel Brett Vaughn, Navy Chief AI Officer, and Willie Hicks, Federal CTO for Dynatrace discuss this up-and-coming technology including: Their definition of AI. With massive technological environments, such as Navy ships and submarines, system complexity is continually growing. How AI is used in the Navy.

Artificial Intelligence 246

Artificial Intelligence Government Analytics Technology 246

Dynatrace

MAY 19, 2022

Feature flag solutions currently use proprietary SDKs with frameworks, definitions, and data/event types that are unique to their platforms. The specification focuses primarily on feature flag evaluation in application code, leaving the definition and management of feature flags up to the feature flag management system.

Java 290

Java Cloud Code Technology 290

Dynatrace

FEBRUARY 9, 2023

We recently extended the pre-shipped code-level API definitions to group logical parts of our code so they’re consistently highlighted in all code-level views. Another benefit of defining custom APIs is that the memory allocation and surviving object metrics are split by each custom API definition.

Java 246

Java Metrics Servers Code 246

The Netflix TechBlog

OCTOBER 18, 2022

Due to its popularity, the number of workflows managed by the system has grown exponentially. The scheduler on-call has to closely monitor the system during non-business hours. As the usage increased, we had to vertically scale the system to keep up and were approaching AWS instance type limits.

Java 207

Java Scalability Traffic Architecture 207

Alex Podelko

AUGUST 18, 2019

First, I’d like to elaborate on “It may be less need for simple load testing due to increased scale and sophistication of systems” I meant that the traditional way – testing the system before deploying in production using production-type workload – is not the only way anymore.

Performance Testing 243

Performance Testing Testing Performance Testing Tools 243

The Netflix TechBlog

FEBRUARY 9, 2022

see “data pipeline” Intro The problem of managing scheduled workflows and their assets is as old as the use of cron daemon in early Unix operating systems. The design of a cron job is simple, you take some system command, you pick the schedule to run it on and you are done. Manually constructed continuous delivery system.

Storage 206

Storage Data Engineering Testing Code 206

The Netflix TechBlog

JULY 30, 2019

Adoption As of writing this blog, Conductor orchestrates 600+ workflow definitions owned by 50+ teams across Netflix. External Payload Storage External payload storage was implemented to prevent the usage of Conductor as a data persistence system and to reduce the pressure on its backend datastore.

Lambda 190

Lambda Media Open Source Metrics 190

Dynatrace

MARCH 3, 2020

Here is the definition of this model: ?. PayPal, a popular online payment systems organization, implemented a full performance as a self-service model for developers to get their code performance tests. A good way to look at how this works can be seen through a few examples from Dynatrace customers that have set up this model. #1

Performance 314

Performance Education Innovation Software Architecture 314

DZone

OCTOBER 26, 2021

Everyone has their own definition of true leadership. In some instances, these individuals stood their ground and continued forward in the face of violence, war, political and economic systems, beliefs, and stereotypes never before challenged. Yet, often we don't understand the importance or impact of simply being present.

Engineering 241

Engineering Systems Development Performance 241

Dynatrace

JULY 22, 2020

Kubernetes can be a confounding platform for system architects. Extensible admission lets us change the definition of a pod after the pod is authorized but before it’s scheduled to run. If your custom resource-definition targets the pod’s namespace, OneAgent will be injected before it starts. Dynatrace news.

Government 243

Government Innovation Strategy Speed 243

The Netflix TechBlog

AUGUST 1, 2022

This article gives an overview of the system. Data Mesh Overview A New Definition Of Data Mesh Previously, we defined Data Mesh as a fully managed, streaming data pipeline product used for enabling Change Data Capture (CDC) use cases. As of now, we still have several specialized internal systems serving their own use cases.

Processing 272

Processing Transportation Entertainment Tuning 272

Dynatrace

JULY 1, 2020

These are all interesting metrics from marketing point of view, and also highly interesting to you as they allow you to engage with the teams that are driving the traffic against your IT-system. In the next step change, the UTM campaign parameter to also be a user action property by editing the definition as shown on the screenshot below.

Traffic 264

Traffic Analytics Metrics Servers 264

DZone

JANUARY 29, 2021

API Test is crucial for the software systems to function at high quality. They allow data exchange and communication from one to another software system. Every app you build nowadays completely relies on Application Programming Interfaces. What is API Test?

Testing 214

Testing Programming Performance Database 214

DZone

DECEMBER 28, 2020

The system could work efficiently with a specific number of concurrent users; however, it may get dysfunctional with extra loads during peak traffic. For example, the gaming app has to present definite actions to bring the right experience. Confirming scalability, dependability, stability, and speed of the app is crucial.

Performance Testing 230

Performance Testing Testing Tools Testing Performance 230

Dynatrace

APRIL 22, 2021

However, Kim underlined there is no single definition of DevOps, referring to one of his earlier works, The DevOps Handbook , where the practice was described as “architectural practices, technical practices, and cultural norms that allow us to increase our ability to deliver applications and services quickly and safely.”. Barriers to DevOps.

DevOps 264

DevOps Technology Technology Innovation 264

The Netflix TechBlog

JUNE 13, 2023

Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience. This is where large-scale system migrations come into play.

Traffic 282

Traffic Metrics Systems Strategy 282

Dynatrace

AUGUST 28, 2020

With the acceleration of complexity, scale, and dynamic systems architectures, under-resourced IT teams are under increasing pressure to understand when there is abnormal behavior, identify the precise reason why this occurred, quickly remediate the issue, and prevent this behavior in the future. How do you make a system ‘observable’?

IoT 237

IoT Infrastructure Monitoring Innovation 237

The Netflix TechBlog

JUNE 14, 2023

And we definitely couldn’t replay test non-functional requirements like caching and logging user interaction. The AB experiment results hinted that GraphQL’s correctness was not up to par with the legacy system. We knew we could test the same query with the same inputs and consistently expect the same results.

Traffic 355

Traffic Latency Metrics Cache 355

Particular Software

SEPTEMBER 11, 2023

Migrating a message-based system from on-premises to the cloud is a colossal undertaking. If you search for “how to migrate to the cloud”, there are reams of articles that encourage you to understand your system, evaluate cloud providers, choose the right messaging service, and manage security and compliance.

Cloud 126

Cloud Systems Azure Airlines 126

Dynatrace

NOVEMBER 3, 2021

Monitoring , by textbook definition, is the process of collecting, analyzing, and using information to track a program’s progress toward reaching its objectives and to guide management decisions. Logging provides additional data but is typically viewed in isolation of a broader system context.

Monitoring 264

Monitoring Metrics DevOps Scalability 264

Dynatrace

MAY 6, 2024

Integration with Red Hat Event-Driven-Ansible will also leverage Red Hat’s flexible rulebook system to map event data, such as problem categories or vulnerability identification, to the correct job template. Context-rich tickets can be created in systems like Jira or ServiceNow for traceability and compliance. Got any more questions?

DevOps 306

DevOps Software Engineering Games Infrastructure 306

Dynatrace

NOVEMBER 1, 2022

These metrics help to keep a network system up and running?, All these definitions are distinct and important. Containment: Implements actions to safeguard affected systems, resolves incidents quickly and escalates an event to other teams when necessary. This does not include lag time in the alert system.

DevOps 276

DevOps Artificial Intelligence Metrics Network 276

The Netflix TechBlog

JULY 26, 2021

This happens at an unprecedented scale and introduces many interesting challenges; one of the challenges is how to provide visibility of Studio data across multiple phases and systems to facilitate operational excellence and empower decision making. Genesis Data Source and Input definition example Genesis is a stateless CLI written in Node.js

Big Data 255

Big Data Government Processing Analytics 255

The Netflix TechBlog

JANUARY 6, 2025

In this case, the main stakeholders are: - Title Launch Operators Role: Responsible for setting up the title and its metadata into our systems. In this context, were focused on developing systems that ensure successful title launches, build trust between content creators and our brand, and reduce engineering operational overhead.

Scalability 215

Scalability Cache Engineering Systems 215

Dynatrace

APRIL 24, 2024

Enhanced uptime measurement Our new SLA is tailored to reflect our current product offering and includes broad coverage of product functionality in the availability definitions.

Azure 264

Azure Infrastructure Metrics AWS 264

Dynatrace

JUNE 25, 2021

Distributed tracing describes the act of following a transaction through all participating applications (tiers) and sub-systems, such as databases. All systems that support distributed tracing use some identifiers, the trace context, that is passed along with the transaction. Distributed tracing. W3C Trace Context.

Open Source 279

Open Source Monitoring Google Systems 279

Dynatrace

NOVEMBER 9, 2021

The general agreed-upon definition of. Data from all these sources is collected and analyzed by Dynatrace’s AI engine, Davis, that’s built into the core of the platform (not bolted on) to drive intelligent and definitive problem identification and root-cause analysis. Legacy IT systems inhibit change while consuming budgets.

DevOps 246

DevOps Innovation Cloud Programming 246

Alex Podelko

JUNE 12, 2019

Of course, it doesn’t mean that JMeter became the best tool for every task, but its popularity, in addition to being an open source tool, definitely gets it high in the list of options to consider. If we talk about load testing tools trends, we definitely see that large companies don’t want to invest much in loading testing tools.

Testing 243

Testing Open Source Testing Tools Performance Testing 243

Dynatrace

FEBRUARY 14, 2022

Among these, you can find essential elements of application and infrastructure stacks, from app gateways (like HAProxy), through app fabric (like RabbitMQ), to databases (like MongoDB) and storage systems (like NetApp, Consul, Memcached, and InfluxDB, just to name a few). Topology definition and entity extraction rules.

Technology 246

Technology Technology Metrics Infrastructure 246

DZone

FEBRUARY 27, 2021

But these are definitely ruled out for enterprise applications due to the complexity in development, maintainability, need for object orientation, and interoperability. They still will win for mission-critical or real-time systems, which need performance over these parameters. In Byteland they have a very strange monetary system.

Java 214

Java C++ Benchmarking Programming 214

Dynatrace

AUGUST 30, 2023

The CSI pod is mounted to application pods using an overlay file system. The CSI pod offers a prepared file system, mounted automatically, and includes unzipped agent binaries to every application pod. These CSI pods provide a unique way of solving a handful of infrastructure problems. Agent logs security. Instant instrumentation.

Google 264

Google Cloud Innovation Infrastructure 264

Dynatrace

NOVEMBER 2, 2020

This shift requires infrastructure monitoring to ensure all your components work together across applications, operating systems, storage, servers, virtualization, and more. Dealing with an unstable website is stress that users don’t need, and definitely don’t want. AI-assistance: Use AI to detect anomalies and benchmark your system.

Infrastructure 246

Infrastructure Monitoring Virtualization Serverless 246

High Scalability

NOVEMBER 30, 2021

That's because there’s been very little evolution in software system architecture. This article, while definitely self serving, targets the choice of using a native iOS environment versus a cloud environment for an app. I know I haven’t been writing much lately. It’s pretty much same thing, different day.

Architecture 184

Architecture Cloud Software Software 184

Dynatrace

MAY 17, 2023

Anyone who’s concerned with developing, delivering, and operating software knows the importance of making software and the systems it runs on observable. With observability, you can get a better understanding of how your systems behave and what they do, especially in case of errors. Why should I adopt observability?

Metrics 245

Metrics Open Source Traffic Cache 245

Dynatrace

DECEMBER 9, 2020

Note : We will soon improve the drill-downs to Davis problems directly from existing SLO definitions so that SRE teams can benefit more from the Dynatrace Davis AI engine. Read more: Google’s definition of the term Site Reliability Engineering. Build your own Site Reliability Engineering dashboards.

Metrics 231

Metrics Engineering Google Monitoring 231

Dynatrace

FEBRUARY 15, 2023

Building effective and reliable systems is only possible with automation, which, in the past, proved difficult due to the following issues: Complexity of systems: The complexity of modern systems makes it difficult to gather all the necessary information to automate decision-making.

Cloud 244

Cloud DevOps Code Open Source 244