High Scalability

JUNE 15, 2020

Over the last 3 years, the TripleLift data pipeline scaled from processing millions of events per day to processing billions. In this article, we'll mostly be focusing on the current state of this multi-billion event pipeline.

Processing 206

Processing Data Engineering Engineering Efficiency 206

Percona

MARCH 21, 2023

We want to improve our ability to replicate your data and limit replication to row-based events securely, wherein we do not have control over the source(s). Another feature, REQUIRE ROW FORMAT, was added in MySQL 8.0.19, limiting replication to row-based replication events. In this blog, I’ll discuss the use case for replication.

Storage 91

Storage Open Source Database Engineering 91

InfoQ

JUNE 16, 2023

Datadog created a dedicated data ingestion architecture offering exactly-once semantics for their third-generation event store, Husky. The event-driven architecture (EDA) can accommodate bursts in traffic in the multi-tenant platform with reasonable ingestion latency and acceptable operational costs. By Rafal Gancarz

Architecture 55

Architecture Scalability Latency Traffic 55

DZone

JANUARY 2, 2024

The communication framework is decoupled, scalable, and dynamic, making it useful for addressing complex software requirements in modern application development. This decoupling is facilitated through a central component known as the message broker or event bus, which manages the delivery of messages.

Architecture 188

Architecture Software Architecture Scalability Design 188

Dynatrace

OCTOBER 10, 2023

Process Improvements (50%) The allocation for process improvements is devoted to automation and continuous improvement SREs help to ensure that systems are scalable, reliable, and efficient. SREs invest significant effort in enhancing software reliability, scalability, and dependability. However, this is highly unlikely.

Engineering 226

Engineering DevOps Innovation Strategy 226

The Netflix TechBlog

MARCH 5, 2019

Challenges & Opportunities in the Infra Data Space Security Events Platform for Anomaly Detection How can we develop a complex event processing system to ingest semi-structured data predicated on schema contracts from hundreds of sources and transform it into event streams of structured data for downstream analysis?

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

High Scalability

FEBRUARY 27, 2019

However, having our analytics events in BigQuery is not enough. In part one , we described our Analytics data ingestion pipeline, with BigQuery sitting as our data warehouse. Most importantly, data needs to be served to our end-users.

Analytics 174

Analytics 174

High Scalability

JUNE 22, 2018

using them to respond to storage events on s3 or database events or auth events is super easy and powerful. Don't miss all that the Internet has to say on Scalability, click below and become eventually consistent with all scalability knowledge (which means this post has many more items to read so please keep on reading).

Internet 113

Internet Internet Scalability Artificial Intelligence 113

Dynatrace

APRIL 7, 2023

Streaming raises the default 6 MB hard limit to a 20 MB soft limit, adding greater scalability and flexibility to their applications. Triggering the Lambda function is event-driven and could include changes in state or an update to a file. What is a Lambda serverless function? What is Lambda Response Streaming?

Lambda 215

Lambda AWS Serverless Latency 215

DZone

FEBRUARY 24, 2023

This is widely used to build event-driven systems or decouple services on AWS. Benefits of Amazon SQS Amazon SQS is a highly reliable and scalable message queuing service that enables you to reliably connect your applications. It provides the following benefits:

Architecture 235

Architecture AWS Scalability Systems 235

The Netflix TechBlog

MARCH 7, 2024

Under the hood, Titus is powered by Kubernetes , but it provides a thick layer of enhancements over off-the-shelf Kubernetes, to make it more observable , secure , scalable , and cost-efficient. Explainer flow is event-triggered by an upstream flow, such Model A, B, C flows in the illustration.

Systems 226

Systems Media Cache Open Source 226

High Scalability

DECEMBER 16, 2022

This model of computing has become increasingly popular in recent years, as it offers a number of benefits, including cost savings, flexibility, scalability, and increased efficiency. I'm sorry, but as a large language model trained by OpenAI, I don't have the ability to browse the internet or keep up-to-date with current events.

Cloud 201

Cloud Serverless Internet Internet 201

Dynatrace

MARCH 14, 2023

The Dynatrace Software Intelligence Platform accelerates cloud operations, helping organizations achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability. Saving your cloud operations and SRE teams hours of guesswork and manual tagging, the Davis AI engine analyzes billions of events in real time.

AWS 281

AWS Lambda Serverless Virtualization 281

O'Reilly Software

JUNE 12, 2018

The benefits of modeling data as events as a mechanism to evolve our software systems. Enter streams of events, specifically the kinds of streams that technology like Kafka makes possible. Continue reading Microservices, events, and upside-down databases. The concepts may well seem odd at first, but stick with them.

Database 72

Database Cache Architecture Latency 72

Dynatrace

JANUARY 22, 2024

While traditional AI relies on finding correlations in data, causal AI aims to determine the precise underlying mechanisms that drive events and outcomes. Therefore, causal AI is a useful deterministic AI technique that provides concrete answers about the source of events, not probabilistic outputs.

Artificial Intelligence 207

Artificial Intelligence Healthcare Retail Government 207

The Netflix TechBlog

APRIL 27, 2023

While we were able to put out the immediate fire by disabling the newly created alerts, this incident raised some critical concerns around the scalability of our alerting system. It became clear to us that we needed to solve the scalability problem with a fundamentally different approach. OK, Results?

Storage 288

Storage Cache Metrics Database 288

Dynatrace

MARCH 6, 2024

It is based on the IBM AS/400 system and is known for its reliability, scalability, and security features. Get a health overview of each system Monitor your system’s performance and detect unexpected events such as IPLs, CPU spikes, and exceeded total job limits. Identify users who are consuming the most spooling files.

Monitoring 234

Monitoring Infrastructure Metrics Analytics 234

Dynatrace

MAY 3, 2024

With this out-of-the-box support for scalable data ingest, log data is immediately available to your teams for troubleshooting and observability, investigating security issues, or auditing.

Cloud 217

Cloud Lambda AWS Analytics 217

The Netflix TechBlog

MARCH 10, 2023

After reading the asset ids using one of the ways, an event is created per asset id to be processed synchronously or asynchronously based on the use case. For asynchronous processing, events are sent to Apache Kafka topics to be processed. Asynchronous Flow : Data processor consumes the data events sent by the data extractor.

Media 237

Media Traffic Processing Design 237

Alex Podelko

DECEMBER 19, 2019

To facilitate discussions, in addition to Q&A, we have panels, “Meeting of the Minds” sessions, and networking events. The conference is not very large nowadays – which is actually a blessing for attendees: you don’t need to get through a huge crowd to ask your question / have a short conversation. See you there!

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

DZone

SEPTEMBER 14, 2023

For the need of real-time monitoring, threat tracing, and alerting, they require a log analytic system that can automatically collect, store, analyze, and visualize logs and event records.

Analytics 124

Analytics Storage Architecture Scalability 124

Dynatrace

AUGUST 9, 2023

With up to 70% of security events going uninvestigated, security analysts need all the help they can get. After a security event, many organizations often don’t know for months (or even years) when why or how it happened. Teams must evolve to continuously create reliable, automated responses based on precise data-driven insights.

Analytics 218

Analytics Metrics Database Storage 218

Percona

DECEMBER 28, 2023

New functionality See what you can do with the Audit Log Filter plugin: Configure rule-based auditable events filtering. You can filter events based on a user account, audit event class name, audit event subclass name, and audit event fields (database name, table name, operation status, and so on).

Open Source 110

Open Source Database Servers Storage 110

Dynatrace

MARCH 9, 2023

In turn, manual approaches to identifying code issues and troubleshooting are not scalable. Event-driven automation is typically the next stage in DevOps automation maturity, adding functions as a service to handle problem remediation and threat protection. Context is the key advantage of this step.

DevOps 232

DevOps Infrastructure Software Software 232

High Scalability

JANUARY 11, 2022

We have chosen this NoSQL based solution over relational databases as it provides the scalability to have hierarchies which go beyond two levels and extensibility due to the schema-less behavior of NoSQL data storage. The entity C denotes the event where a user likes a post and entity D denotes the action when a user follows another user.

Design 334

Design Media Storage Logistics 334

Dynatrace

NOVEMBER 28, 2022

The Dynatrace Software Intelligence Platform accelerates cloud operations, helping users achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability. Built for enterprise scalability. Insights into how serverless functions are affecting customer-facing applications.

Lambda 225

Lambda AWS Serverless Latency 225

Dynatrace

APRIL 18, 2024

AI helps provide in-depth context around system issues, anomalies, and other events instead of merely identifying them. AI-driven insights optimize resource allocation, bolster internal developer platform scalability, and introduce autonomous operations for platform engineers. This capability is monumental for DevSecOps teams.

DevOps 190

DevOps Engineering Artificial Intelligence Infrastructure 190

Dynatrace

AUGUST 16, 2021

Providing standardized self-service pipeline templates, best practices, and scalable automation for monitoring, testing, and SLO validation. The latest version detected can be influenced by environment variables, Kubernetes labels, and events ingestion. Component levels information events such as releases and configuration changes.

Software 246

Software Software Open Source Azure 246

Dynatrace

SEPTEMBER 8, 2022

In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. Event logging and software tracing help application developers and operations teams understand what’s happening throughout their application flow and system.

Systems 185

Systems Cloud Analytics DevOps 185

Dynatrace

MARCH 27, 2024

By using AIOps to monitor events system-wide, teams can automate an array of common security processes, including application monitoring, threat intelligence analysis, and security incident response. There are no more unknown unknowns. Observability is even more powerful when combined with artificial intelligence for IT operations (AIOps).

Government 159

Government Network Artificial Intelligence Cloud 159

Scalegrid

JANUARY 5, 2024

Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity. Practical Applications of DBMS DBMS finds practical applications in various fields.

Efficiency 147

Efficiency Storage Database Scalability 147

The Netflix TechBlog

AUGUST 30, 2021

In the Device Management Platform, this is achieved by having device updates be event-sourced through the control plane to the cloud so that NTS will always have the most up-to-date information about the devices available for testing. Upstream event sourcing was fully enabled on the producer side at around 2021–07–15 15:00 PST.

Latency 213

Latency Traffic Transportation Hardware 213

Dynatrace

JULY 18, 2023

The screenshot below displays a workflow that listens for a deployment event of the easytrade service in the production stage. The validation process is automated based on events that occur, while the objectives’ configuration, which is validated by the Site Reliability Guardian , is stored in a separate file.

Best Practices 189

Best Practices Code Infrastructure Latency 189

All Things Distributed

AUGUST 17, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Back-to-Basics Weekend Reading - Staged Event-Driven Architecture. Staged Event-Driven Architecture. SEDA: An Architecture for Well-Conditioned, Scalable Internet Services , Matt Welsh, David Culler, and Eric Brewer. All Things Distributed.

Architecture 95

Architecture AWS Internet Internet 95

Dynatrace

DECEMBER 5, 2022

Analyzing: Looking for unusual Kubernetes event activity. So Robert analyzed the data and events Dynatrace captured for the Kubernetes cluster responsible for keeping the pods running. He immediately spotted an unusual spike in the number of out-of-memory events ( OOMKilled ) shown in the following Dynatrace Kubernetes screens.

Java 190

Java Traffic Education Storage 190

Dynatrace

OCTOBER 23, 2023

As such, the observability platform used to monitor Hyper-V should ideally fulfill requirements for holistic visibility, correlation and causation analysis, AI-powered analytics, scalability, and security. Dynatrace is a platform that satisfies all these criteria. Learn more about the pillars of modern observability in this e-book.

Efficiency 214

Efficiency Virtualization Hardware Performance 214

DZone

FEBRUARY 23, 2023

Introduction With big data streaming platform and event ingestion service Azure Event Hubs , millions of events can be received and processed in a single second. Any real-time analytics provider or batching/storage adaptor can transform and store data supplied to an event hub.

Azure 294

Azure Big Data Analytics Storage 294