DZone

FEBRUARY 24, 2023

This is widely used to build event-driven systems or decouple services on AWS. Amazon SQS (Simple Queue Service) is a message queue service that enables application components to communicate with each other by exchanging messages.

Architecture 243

Architecture AWS Scalability Systems 243

DZone

JULY 23, 2024

An architectural pattern named Event Sourcing is gaining more and more recognition from developers who aim for strong and scalable systems. This article is aimed at software architects, system developers, and project managers who might be contemplating or are already engaged in integrating Event Sourcing into their systems.

Systems 130

Systems Scalability Architecture Technology 130

Dynatrace

OCTOBER 7, 2021

To get a better understanding of AWS serverless, we’ll first explore the basics of serverless architectures, review AWS serverless offerings, and explore common use cases. Serverless architecture: A primer. Serverless architecture shifts application hosting functions away from local servers onto those managed by providers.

Serverless 293

Serverless AWS Lambda Storage 293

DZone

FEBRUARY 29, 2024

In the world of cloud computing and event-driven applications, efficiency and flexibility are absolute necessities. A proper architecture ensures that there are no bottlenecks in the movement of messages. A smooth flow of messages in an event-driven application is the key to its performance and efficiency.

Efficiency 264

Efficiency AWS Scalability Architecture 264

DZone

JANUARY 8, 2024

Load balancing is a critical component in cloud architectures for various reasons. Additionally, load balancers enhance high availability and reliability by redirecting traffic to healthy servers in the event of a server failure, minimizing downtime, and ensuring accessibility. What Is Load Balancing?

Azure 287

Azure Scalability Traffic Performance 287

Scalegrid

AUGUST 16, 2021

Data-driven applications span a wide breadth of complexity, from simple microservices to real-time event-driven systems under significant load. Modern application architectures such as the JAMstack enforce the separation […]. Guest post by Ben Hagan from PolyScale.ai

Cache 279

Cache DevOps Architecture Systems 279

The Netflix TechBlog

APRIL 12, 2022

In a federated graph architecture, how can we answer such a query given that each entity is served by its own service? Sample GraphQL query To keep the index up to date, events are used to trigger a reindexing operation for individual entities when they change. however, application events are also supported when necessary.

Engineering 273

Engineering Architecture Java Infrastructure 273

DZone

FEBRUARY 29, 2024

In the vibrant world of microservices and event-driven architectures, messaging queues have emerged as a critical component, enabling asynchronous communication, decoupling systems, and unlocking scalability. However, with a vibrant landscape of options, choosing the optimal queue can feel like navigating a complex maze.

Scalability 263

Scalability Architecture Processing Systems 263

Dynatrace

DECEMBER 3, 2024

By embedding Dynatrace AI-driven observability and reliability checks into the deployment pipeline, organizations can proactively assess their cloud architectures against best practices, detecting and resolving potential issues before they impact production. This solution aligns to the AWS Well-Architected Framework.

AWS 256

AWS Cloud Performance Innovation 256

Dynatrace

DECEMBER 2, 2024

DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. It should also be possible to analyze data in context to proactively address events, optimize performance, and remediate issues in real time.

Artificial Intelligence 190

Artificial Intelligence DevOps Architecture Cloud 190

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Logs and events play an essential role in this mix; they include critical information which can’t be found anywhere else, like details on transactions, processes, users and environment changes.

Cloud 263

Cloud Azure Analytics Open Source 263

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

JULY 11, 2023

We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power architecture (ppc64le). It also detects new containers and injects OneAgent code modules into application pods.

Architecture 178

Architecture Availability Infrastructure Monitoring 178

DZone

OCTOBER 23, 2023

Reference data sources don’t always require ACID transaction capabilities, rather need support for fast read queries often based on simple data access patterns, and event-driven architecture to ensure the target systems remain up-to-date.

AWS 275

AWS Performance Database Architecture 275

Dynatrace

OCTOBER 4, 2022

Grail architectural basics. The aforementioned principles have, of course, a major impact on the overall architecture. A data lakehouse addresses these limitations and introduces an entirely new architectural design. It’s based on cloud-native architecture and built for the cloud. But what does that mean?

Artificial Intelligence 278

Artificial Intelligence Analytics Storage Architecture 278

Dynatrace

OCTOBER 2, 2023

Transforming an application from monolith to microservices-based architecture can be daunting, and knowing where to start can be difficult. Unsurprisingly, organizations are breaking away from monolithic architectures and moving toward event-driven microservices. Migration is time-consuming and involved.

Architecture 245

Architecture Artificial Intelligence Cloud Open Source 245

The Netflix TechBlog

JUNE 7, 2021

Flow Exporter The Flow Exporter is a sidecar that uses eBPF tracepoints to capture TCP flows at near real time on instances that power the Netflix microservices architecture. Flow Collector consumes two data streams, the IP address change events from Sonar via Kafka and eBPF flow log data from the Flow Exporter sidecars. What is BPF?

Network 327

Network Transportation AWS Cloud 327

Dynatrace

AUGUST 11, 2022

This code is then executed on remote servers in response to an event, such as users interacting with functional web elements. FaaS vs. monolithic architectures. Monolithic architectures were commonplace with legacy, on-premises software solutions. Breaking down the benefits of function as a service. Increased availability.

Development 262

Development Serverless Best Practices Lambda 262

Dynatrace

JANUARY 17, 2023

Kubernetes teams lack simple, consistent, vendor-agnostic architectures for analyzing observability signals across teams. Kubernetes workload pages offer resource analysis, lists of services, pods, events, and logs. The same page provides further analysis with workload logs and events.

Analytics 293

Analytics Metrics Open Source Java 293

The Netflix TechBlog

OCTOBER 8, 2024

In previous blog posts, we introduced the Key-Value Data Abstraction Layer and the Data Gateway Platform , both of which are integral to Netflix’s data architecture. Instead, we focus on addressing the challenge of storing and accessing extremely high-throughput, immutable temporal event data in a low-latency and cost-efficient manner.

Latency 242

Latency Storage Traffic Tuning 242

The Netflix TechBlog

DECEMBER 11, 2020

Our Journey so Far Over the past year, we’ve implemented the core infrastructure pieces necessary for a federated GraphQL architecture as described in our previous post: Studio Edge Architecture The first Domain Graph Service (DGS) on the platform was the former GraphQL monolith that we discussed in our first post (Studio API).

Architecture 257

Architecture Best Practices Engineering Open Source 257

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” Understand and optimize your architecture. Dynatrace news. Optimize timing hotspots.

Serverless 242

Serverless Azure Monitoring Lambda 242

Dynatrace

MARCH 11, 2021

In the fourth part of the series, I’ll show you how I used Dynatrace’s raw problem and event data to find the best fit for optimized anomaly detection settings. Statistically analyzing Dynatrace’s event and problem data. Getting the raw event and problem data. What is an unhealthy environment?

Tuning 264

Tuning Architecture Monitoring Big Data 264

The Netflix TechBlog

NOVEMBER 12, 2024

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.

Latency 253

Latency Cache Infrastructure Strategy 253

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. Causal AI is a different approach that goes beyond event correlations to understand the underlying reasons for trends and patterns. It uses fault-tree analysis to identify the component events that cause outcomes at a higher level.

Government 212

Government Analytics Benchmarking Storage 212

Dynatrace

OCTOBER 14, 2020

We want to share how Dynatrace helped us identify and fix memory leaks in one of the most central and critical components within Keptn: our event broker. For that reason, we started a simple load-test scenario where we flooded our event-based system with 100 cloud-events per minute. It happened in June 2020. Can we fix it?

Cloud 238

Cloud Development Open Source Monitoring 238

Dynatrace

OCTOBER 8, 2024

Modern observability has evolved from simple metric telemetry monitoring to encompass a wide range of data, including logs, traces, events, alerts, and resource attributes. Instead, you receive an AI-generated summary as an affected deployment architecture diagram. Confirm the AI-detected root cause and review the deployment context.

Infrastructure 220

Infrastructure Cloud Speed Architecture 220

Dynatrace

JULY 18, 2024

With this enhancement, Dynatrace can respond to any event and execute synthetic monitors within your workflows to assess the impact of events on user experience. You can also provide a list of monitors, tags, or applications in the incoming event and extract the list using the expression , which allows you to build a generic Workflows.

Monitoring 246

Monitoring DevOps Infrastructure Games 246

The Netflix TechBlog

APRIL 27, 2023

High Level Architecture The idea, at a high level, was to avoid the need to query the Atlas database almost entirely and transition most alert queries to streaming evaluation. First and foremost, we have successfully alleviated our initial scalability problem with the polling based architecture. OK, Results?

Storage 300

Storage Cache Metrics Database 300

The Netflix TechBlog

AUGUST 1, 2022

As the system evolves to solve more and more use cases, we have expanded its scope to handle not only the CDC use cases but also more general data movement and processing use cases such that: Events can be sourced from more generic applications (not only databases). They use different mechanisms to stream events out of the source databases.

Processing 273

Processing Transportation Entertainment Tuning 273

Dynatrace

DECEMBER 23, 2020

As legacy monolithic applications give way to more nimble and portable services, the tools once used to monitor their performance are unable to serve the complex cloud-native architectures that now host them. Traces: A record of events that occur along the path of a single request. How does distributed tracing work?

Infrastructure 218

Infrastructure Cloud Monitoring Metrics 218

The Netflix TechBlog

NOVEMBER 14, 2023

Using fixed lookback windows to always reprocess data, assuming that most late-arriving events will occur within that window. Add alerts to flag when late arriving data appears, block the pipelines, and perform a manual intervention where we triggered backfill pipelines to handle the missed events. Some techniques we used were: 1.

Data Engineering 273

Data Engineering Engineering Processing Games 273

Dynatrace

AUGUST 16, 2021

Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. 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

Uber Engineering

SEPTEMBER 23, 2021

This article focuses on how we … The post Real-Time Exactly-Once Ad Event Processing with Apache Flink, Kafka, and Pinot appeared first on Uber Engineering Blog. With this new ability came new challenges that needed to be solved at Uber, such as systems for ad auctions, bidding, attribution, reporting, and more.

Processing 135

Processing Engineering Systems Architecture 135

Dynatrace

JANUARY 26, 2021

Unlike a traditional virtual machine-model where customers must build and manage an entire VM, serverless computing provides the ability to purchase only the CPU cycles and memory needed to support an application using an event-based pay-per-use model. Making use of serverless architecture. The Serverless Process.

Serverless 246

Serverless Efficiency Lambda Azure 246

Dynatrace

DECEMBER 13, 2023

Rexed, Singh, and Stull outline the importance of metrics, traces, logs, events, and the role they play in achieving full–context Kubernetes observability and driving automated responses in hybrid and multi-cloud environments.

Google 238

Google Cloud Infrastructure Metrics 238