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

OCTOBER 6, 2023

Buckets are similar to folders, a physical storage location. Debug-level logs, which also generate high volumes and have a shorter lifespan or value period than other logs, could similarly benefit from dedicated storage. Suppose a single Grail environment is central storage for pre-production and production systems.

Artificial Intelligence 266

Artificial Intelligence Analytics Metrics Storage 266

Dynatrace

APRIL 20, 2023

Logs highlight observability challenges Ingesting, storing, and processing the unprecedented explosion of data from sources such as software as a service, multicloud environments, containers, and serverless architectures can be overwhelming for today’s organizations. Seamless integration. ” Watch session now!

Analytics 193

Analytics Infrastructure Storage Efficiency 193

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

High Scalability

JANUARY 11, 2022

Architecture. Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity. Sending and receiving messages from other users.

Design 334

Design Media Storage Logistics 334

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs).

Retail 242

Retail Storage Best Practices Architecture 242

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 213

Artificial Intelligence Healthcare Retail Government 213

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

Dynatrace

AUGUST 21, 2023

A traditional log management solution uses an often manual and siloed approach, which limits scalability and ultimately hinders organizational innovation. These solutions often provide better scalability and performance than on-premises solutions, while still providing broad infrastructure coverage. Reduce costs and inefficiencies.

Analytics 147

Analytics Innovation Infrastructure Scalability 147

All Things Distributed

JUNE 10, 2016

If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. Mobile Backend Serverless Reference Architecture. Real-time File Processing Serverless Reference Architecture. IoT Backend Serverless Reference Architecture.

Lambda 107

Lambda Serverless AWS Architecture 107

All Things Distributed

MAY 10, 2016

If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. Mobile Backend Serverless Reference Architecture. Real-time File Processing Serverless Reference Architecture. IoT Backend Serverless Reference Architecture.

Lambda 105

Lambda Serverless AWS Architecture 105

Dynatrace

JUNE 27, 2023

The increasing complexity of cloud service architectures requires a rock-solid understanding of the activity, health status, and security of cloud services. Logs complement out-of-the-box metrics and enable automated actions for responding to availability, security, and other service events.

AWS 204

AWS Cloud Lambda Analytics 204

The Netflix TechBlog

NOVEMBER 3, 2022

The original assumptions and architectural choices were no longer viable. Overview The figure below depicts a simplified high-level architecture of a single Titus cluster (a.k.a When a new leader is elected it loads all data from external storage. Let’s assume a sequence of events E?…E??, it will read version E?

Cache 224

Cache Latency Traffic Systems 224

Dynatrace

JULY 29, 2021

Today’s digital businesses run on heterogeneous and highly dynamic architectures with interconnected applications and microservices deployed via Kubernetes and other cloud-native platforms. Common questions include: Where do bottlenecks occur in our architecture? How can we optimize for performance and scalability?

Analytics 246

Analytics Open Source Serverless Architecture 246

O'Reilly Software

JUNE 12, 2018

The benefits of modeling data as events as a mechanism to evolve our software systems. In fact, before we even had the word microservices in our lexicon, back when it was just good old-fashioned service-oriented architecture, we were talking about data: how to access it, where it lives, who “owns” it.

Database 72

Database Cache Architecture Latency 72

Dynatrace

MARCH 24, 2023

Problems include provisioning and deployment; load balancing; securing interactions between containers; configuration and allocation of resources such as networking and storage; and deprovisioning containers that are no longer needed. How does container orchestration work? The post What is container orchestration?

Infrastructure 191

Infrastructure Open Source Operating System Cloud 191

The Netflix TechBlog

MARCH 14, 2023

Specifically, we will dive into the architecture that powers search capabilities for studio applications at Netflix. They may scrub for frames, shots, or scenes of specific characters, locations, objects, events (e.g. This service leverages Cassandra and Elasticsearch for data storage and retrieval. a close-up shot).

Media 291

Media Innovation Energy Architecture 291

Dynatrace

DECEMBER 22, 2021

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Logs are files that record events in a system, such as the start of a subprocess or the trapping of an error. They are particularly important in distributed systems, such as microservices architectures.

Artificial Intelligence 183

Artificial Intelligence Metrics Architecture DevOps 183

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. Causal AI is an artificial intelligence technique used to determine the precise underlying causes and effects of events. Using

AWS 214

AWS Artificial Intelligence Analytics Cloud 214

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. It also supports the flexibility and scalability of the database infrastructure.

Availability 105

Availability Database Open Source Hardware 105

Dynatrace

JANUARY 16, 2023

Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform. Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments. The different infrastructure setup reflects economic and technical considerations.

Open Source 347

Open Source Java Operating System Programming 347

The Netflix TechBlog

MAY 4, 2023

When undertaking system migrations, one of the main challenges is establishing confidence and seamlessly transitioning the traffic to the upgraded architecture without adversely impacting the customer experience. This blog series will examine the tools, techniques, and strategies we have utilized to achieve this goal.

Traffic 339

Traffic Latency Tuning Systems 339

Percona

MARCH 21, 2023

Join us at this event if you are interested! Tenants Multi-tenancy is a software architecture pattern where a single instance of a software application serves multiple tenants, allowing them to share resources like storage, processing power, and memory while maintaining separate, secure access to their respective data.

Serverless 122

Serverless Software Architecture Virtualization Database 122

Dynatrace

JANUARY 12, 2022

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. An example of a critical event-based messaging service for many businesses is adding a product to a shopping cart.

Analytics 192

Analytics Systems DevOps Healthcare 192

Dynatrace

FEBRUARY 10, 2023

Check out the guide from last year’s event. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs. We’ll post news here as it happens! What is IT automation?

Efficiency 281

Efficiency Performance Analytics DevOps 281

Dynatrace

JANUARY 23, 2024

Check back here throughout the event for the latest news, insights, and announcements. Measuring the importance of data quality to causal AI success – blog Causal AI can accurately pinpoint why an event occurred, but the effectiveness of AI depends on high-quality data. Enter causal AI.

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

Percona

JULY 7, 2023

Unfortunately, using certain open source database software as part of an HA architecture can present significant challenges. Downtime due to SPOFs can also be attributed to bottlenecks from architectures designed for applications instead of databases. Despite all its upside, PostgreSQL software presents such challenges.

Availability 82

Availability Open Source Architecture Database 82

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

Architecture 52

Architecture Cache Azure Storage 52

Smashing Magazine

SEPTEMBER 28, 2022

The browser receives a JavaScript bundle and static HTML in a payload, then it will render the DOM and add the listeners and events triggers for reactiveness. Caching partially stores your data and is not used as permanent storage. Using the cache as permanent storage is an anti-pattern. Data Event Sourcing.

Cache 126

Cache Performance Servers Social Media 126

Percona

AUGUST 22, 2023

We’ll also look at the differences, as it’s important to know what architecture(s) will help you best meet your unique requirements for maximizing data assets and achieving continuous uptime. This blog article will examine shared attributes of high availability (HA) and fault tolerance (FT). What does high availability mean?

Availability 77

Availability Hardware Open Source Database 77

ScaleOut Software

JULY 19, 2021

Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention.

IoT 78

IoT Analytics Big Data Architecture 78

Percona

AUGUST 30, 2023

Any organization that uses personal and other sensitive data must have a firm, proven plan for business continuity in the event of a disaster or cyberattack. In all three instances, failure to regularly back up data can result in significant data loss in the event of a disaster. Similarly, accidental deletion is a culprit.

Database 85

Database Hardware Open Source Strategy 85

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. It provides support for a range of message protocols, buffering, and scalable message distribution to downstream services.

IoT 52

IoT Azure Analytics Serverless 52

Percona

DECEMBER 27, 2023

The field of Platform Engineering has witnessed significant advancements, as evidenced by the publication of the CNCF platform whitepaper and the introduction of a dedicated Platform Engineering day at the upcoming KubeCon event. You mentioned ‘More Simple Kubernetes’?

Cloud 77

Cloud Open Source Strategy Best Practices 77

All Things Distributed

MARCH 7, 2013

Werner Vogels weblog on building scalable and robust distributed systems. s fast and easy scalability can be quickly applied to building high scale applications. s mobile app was integrated with Super Bowl ads , which allowed advertisers to run highly interactive advertising campaigns during the event. All Things Distributed.

Ecommerce 139

Ecommerce Storage Scalability Hardware 139

Dynatrace

SEPTEMBER 17, 2019

PostgreSQL & Elastic for data storage. MaaSS for Cloud Architects: Deployment and Architecture Validations. Validate correct architecture, configuration and deployment by looking at Service Flow! Their technology stack looks like this: Spring Boot-based Microservices. NGINX as an API Gateway. REDIS for caching.

AWS 128

AWS Monitoring Ecommerce Lambda 128

All Things Distributed

JULY 16, 2012

Werner Vogels weblog on building scalable and robust distributed systems. It is shaping up to be a great event with many Amazonians, partners and customers presenting in well over 150 sessions. It is shaping up to be a great event with many Amazonians, partners and customers presenting in well over 150 sessions. Comments ().

AWS 83

AWS Big Data Media Storage 83