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. Fragmented and siloed data storage can create inconsistencies and redundancies.

Government 194

Government Analytics Benchmarking Storage 194

Dynatrace

APRIL 19, 2023

We’ve replaced the role-based permission system with security policies that provide fine-grained control over service access and introduce new dynamic controls for user authorization. The managed policies always reflect the latest changes in the Dynatrace platform and its underlying permission system and, therefore, can’t be customized.

Storage 202

Storage Analytics Systems Architecture 202

Dynatrace

JANUARY 17, 2024

An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance. AI requires more compute and storage. Training AI data is resource-intensive and costly, again, because of increased computational and storage requirements. AI performs frequent data transfers.

Strategy 216

Strategy Artificial Intelligence Storage Cloud 216

The Netflix TechBlog

APRIL 27, 2023

Engineers want their alerting system to be realtime, reliable, and actionable. A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! In other words, false positives are bad but false negatives are the absolute worst!

Storage 288

Storage Cache Metrics Database 288

Dynatrace

MAY 21, 2024

That’s because it does not require any pre-prepared schemas, and access to cold/hot storage is fully automatic and with zero latency. Tens or even hundreds of DIY and commercial tools are being used to handle logs, metrics, traces, security events, and vulnerabilities all in their own way.

Technology 196

Technology Technology Analytics Storage 196

Dynatrace

OCTOBER 23, 2023

Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems. It enables multiple operating systems to run simultaneously on the same physical hardware and integrates closely with Windows-hosted services. This leads to a more efficient and streamlined experience for users.

Efficiency 207

Efficiency Virtualization Hardware Performance 207

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 256

Artificial Intelligence Analytics Metrics Storage 256

DZone

JANUARY 31, 2024

SIEM stands for Security Information and Event Management. SIEM systems enable early detection of security threats and suspicious activities by analyzing vast amounts of log data in real time. Normalization: The collected logs are normalized into a common format, allowing for easier analysis and correlation of security events.

Storage 145

Storage Data Engineering Network Infrastructure 145

Dynatrace

NOVEMBER 9, 2023

Storage container metrics Track the usage and performance of storage containers to optimize resource allocation. Disk metrics Monitor the performance of disks to ensure efficient data storage and retrieval. Virtual disk metrics Keep tabs on virtual disk performance, identifying any potential storage bottlenecks.

Virtualization 186

Virtualization Storage Metrics Monitoring 186

Scalegrid

FEBRUARY 1, 2024

MySQL is a popular open-source relational database management system for online applications and data warehousing. However, data loss is always possible due to hardware malfunction, software defects, or other unforeseen circumstances, just like with any computer system.

Best Practices 130

Best Practices Storage Strategy Database 130

Dynatrace

OCTOBER 4, 2022

Application and system logs are often collected in data silos using different tools, with no relationships between them, and then correlated in manual and often meaningless ways. Lining up traces, logs, and metrics based on user events and timestamps provides the most complete picture of full-stack dependencies.

Analytics 214

Analytics Storage Infrastructure Metrics 214

Scalegrid

MARCH 8, 2024

Executing PITR requires restoring from the full backup and then applying binary log events in sequence up to the desired point in time, with advanced techniques and third-party tools available to optimize large dataset handling and automate the recovery process. It grants access to peer into these logs’ contents.

Database 162

Database Strategy Servers Best Practices 162

Dynatrace

JULY 1, 2022

Operating systems support. We’re informing you that Dynatrace Managed version 1.250 is going to be the last one that you can upgrade to on the unsupported operating systems. Improved license expiration cluster event and e-mail notification content. Storage service upgrade to Cassandra 3.11.13. x, Oracle Linux 6.x

Operating System 196

Operating System Storage Metrics Systems 196

Dynatrace

DECEMBER 5, 2023

Streamline privacy requirements with flexible retention periods Data retention is a critical aspect of data handling, and it’s not just about privacy compliance—it’s about having the flexibility to optimize data storage times in Grail for your Dynatrace use cases. Grail buckets function like folders in a file system.

Storage 162

Storage Healthcare Best Practices Speed 162

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. That’s why causal AI use cases abound for organizations looking to build more reliable and transparent AI systems. However, correlation does not imply causation.

Artificial Intelligence 201

Artificial Intelligence Healthcare Retail Government 201

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access. AWS offers four serverless offerings for storage.

Serverless 273

Serverless AWS Lambda Storage 273

Particular Software

APRIL 12, 2021

Azure Storage Queues is a basic yet robust queueing service available on the Azure platform. For example, it lacks concepts like topics and subscriptions to build publisher and subscriber topologies—these are capabilities NServiceBus adds on top of Azure Storage Queues. Let’s take a look. Here’s how it works.

Azure 52

Azure Storage Transportation Java 52

High Scalability

JANUARY 11, 2022

The streaming data store makes the system extensible to support other use-cases (e.g. System Components. The system will comprise of several micro-services each performing a separate task. After that, the post gets added to the feed of all the followers in the columnar data storage. Fetching User Feed. Optimization.

Design 334

Design Media Storage Logistics 334

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. Cold storage and rehydration. Cold storage and rehydration. Data that organizations may need to access only once a quarter or year can reside in cold storage.

Analytics 208

Analytics Storage Retail Monitoring 208

DZone

SEPTEMBER 14, 2023

Such a gigantic log analysis system is part of their cybersecurity management. 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 133

Analytics Storage Architecture Scalability 133

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. Cold storage and rehydration. Cold storage and rehydration. Data that organizations may need to access only once a quarter or year can reside in cold storage.

Analytics 175

Analytics Storage Retail Monitoring 175

Scalegrid

JANUARY 5, 2024

If you’re considering a database management system, understanding these benefits is crucial. Understanding Database Management Systems (DBMS) A Database Management System (DBMS) assists users in creating and managing databases. In a DBMS, data serves as the material which the system stores, structures, and controls.

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

OCTOBER 4, 2022

This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes). This decoupling ensures the openness of data and storage formats, while also preserving data in context. Start using Grail now.

Artificial Intelligence 261

Artificial Intelligence Analytics Storage Architecture 261

Dynatrace

OCTOBER 4, 2022

Organizations need to unify all this observability, business, and security data based on context and generate real-time insights to inform actions taken by automation systems, as well as business, development, operations, and security teams. Collecting logs, metrics, events, and trace data is great. Event severity.

Analytics 184

Analytics Software Software Storage 184

The Netflix TechBlog

NOVEMBER 3, 2022

As the number of Titus users increased over the years, the load and pressure on the system increased substantially. cell): Titus Job Coordinator is a leader elected process managing the active state of the system. When a new leader is elected it loads all data from external storage.

Cache 224

Cache Latency Traffic Systems 224

Dynatrace

SEPTEMBER 5, 2023

Technology and operations teams work to ensure that applications and digital systems work seamlessly and securely. Predictive AI uses statistical algorithms and other advanced machine learning techniques to anticipate what might happen next in a system. This data-driven approach fosters continuous refinement of processes and systems.

Artificial Intelligence 257

Artificial Intelligence DevOps Analytics Engineering 257

Scalegrid

JANUARY 9, 2024

As more and more enterprises incorporate cloud-based systems, ensuring their security becomes a key concern. Defining Enterprise Cloud Security In today’s business landscape, the reliance on cloud services for data storage and processing has made enterprise cloud security a crucial factor.

Strategy 130

Strategy Cloud Best Practices Government 130

Dynatrace

JANUARY 11, 2023

Organizations can uncover critical insights about customers, track the health of complex systems, or view sales trends. These events represent activities that can affect the bottom line, such as sales order volumes, inventory counts, or delivery notifications. High storage costs. Teams derive business metrics from many sources.

Analytics 182

Analytics Strategy Storage Technology 182

Scalegrid

MAY 13, 2020

High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. The MPP system leverages a shared-nothing architecture to handle multiple operations in parallel. Typically an MPP system has one leader node and one or many compute nodes. Polymorphic Data Storage.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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. Infrastructure as a service (IaaS) handles compute, storage, and network resources. Many organizations use function as a service when migrating to the cloud or for RESTful and event-driven applications.

Development 244

Development Serverless Best Practices Lambda 244

Dynatrace

OCTOBER 17, 2023

Moreover, the system lacks flexibility, imposing strict schemas that administrators and developers must adhere to avoid additional costs. Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. The majority of costs are associated with data querying.

Retail 230

Retail Storage Best Practices Architecture 230

Percona

APRIL 24, 2023

The urge to create more and more indexes is found to be causing severe damage in many systems. Many times, removing indexes is what we should be doing first before considering any new indexes for the benefit of the entire system. This post is about PostgreSQL, but most of the problems also apply to other database systems.

Tuning 124

Tuning Cache Storage Database 124

The Netflix TechBlog

OCTOBER 15, 2019

Delta is an eventual consistent, event driven, data synchronization and enrichment platform. Another thread or process is constantly polling events from the log table and writes them to one or multiple datastores, optionally removing events from the log table after acknowledged by all datastores.

Transportation 192

Transportation Architecture Processing Storage 192

Dynatrace

OCTOBER 14, 2022

Achieving this from a typical enterprise’s various apps, systems, and configurations is the beginning of the observability journey and, therefore, critical to get right. It’s delivered in three parts: New log storage configuration is available in Dynatrace version 1.252 and requires OneAgent 1.243+. Try it out yourself.

Storage 220

Storage Government Network Infrastructure 220

The Netflix TechBlog

MAY 4, 2023

Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience. These backend systems are consistently being evolved and optimized to meet and exceed customer and product expectations. This technique facilitates validation on multiple fronts.

Traffic 339

Traffic Latency Tuning Systems 339

Scalegrid

MARCH 28, 2024

This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. It uses a hash table to manage these pairs, divided into fixed-size buckets with linked lists for key-value storage. High data availability is achieved.

Cache 130

Cache Storage Scalability Architecture 130

O'Reilly Software

JUNE 12, 2018

The benefits of modeling data as events as a mechanism to evolve our software systems. Data is all-important—vital for the continued success of our businesses—but has also been seen as a massive constraint in how we design and evolve our systems. All too often, the software wasn’t designed in a way that made it easy to ship.

Database 72

Database Cache Architecture Latency 72