Dynatrace

SEPTEMBER 5, 2024

These developments open up new use cases, allowing Dynatrace customers to harness even more data for comprehensive AI-driven insights, faster troubleshooting, and improved operational efficiency. Customers have had a positive response to our native syslog implementation, noting its easy setup and efficiency.

Innovation 273

Innovation AWS Analytics Storage 273

Scalegrid

JANUARY 5, 2024

Enhanced data security, better data integrity, and efficient access to information. 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.

Efficiency 147

Efficiency Storage Database Scalability 147

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

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. Grail is built for such analytics, not storage.

Artificial Intelligence 278

Artificial Intelligence Analytics Storage Architecture 278

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 293

Serverless AWS Lambda Storage 293

Dynatrace

JULY 29, 2022

This is also known as root-cause analysis. Peak performance analysis. With the right log management and observability platform, IT teams can efficiently identify the root cause of problems during these peak times and maintain three-nines of availability — or 99.98%. Cold storage and rehydration. Indexing overhead.

Analytics 226

Analytics Storage Retail Monitoring 226

DZone

JUNE 15, 2023

Moreover, the process of collecting these profiles introduces overhead during application runtime and necessitates the storage and visualization of significantly large datasets. However, it does not provide visibility into the operations taking place at the code level, such as method, socket, and thread states.

Latency 253

Latency Storage Strategy Metrics 253

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. Unlike data warehouses, however, data is not transformed before landing in storage.

Artificial Intelligence 221

Artificial Intelligence Storage Analytics Government 221

Dynatrace

OCTOBER 17, 2023

Customers experience delayed time to value from the data they’re ingesting as they must take additional steps to make the data useful for troubleshooting and analysis, such as re-indexing. Customers find themselves confined to models that limit their ability to leverage the volume of data they possess for practical analysis.

Retail 248

Retail Storage Best Practices Architecture 248

Dynatrace

DECEMBER 12, 2024

In dynamic and distributed cloud environments, the process of identifying incidents and understanding the material impact is beyond human ability to manage efficiently. million to $5 million annually in increased developer efficiency with our vulnerability and exposure offering alone.

Analytics 214

Analytics Government Efficiency Innovation 214

Dynatrace

JUNE 10, 2024

As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. Security analytics combines data collection, aggregation, and analysis to search for and identify potential threats. Dehydrated data has been compressed or otherwise altered for storage in a data warehouse.

Analytics 243

Analytics Network Open Source Hardware 243

Dynatrace

NOVEMBER 28, 2023

Davis AI efficiently identified the deployment change as the potential root cause for the malfunctioning of nginx. Predictive traffic analysis Deploying OneAgent within the staging environment facilitates the availability of telemetry data for analysis by Davis AI. Davis AI can leverage this data to enable predictive analysis.

Traffic 270

Traffic Best Practices Strategy Engineering 270

Dynatrace

MAY 6, 2024

This way, disruptions are minimized, MTTR is significantly decreased, and DevSecOps and SREs collaborate efficiently to boost productivity. Davis AI root cause analysis is used to pinpoint the problem, entity, and root cause. Executing corrective actions. Keeping relevant stakeholders in the loop. In-context topology identification.

DevOps 295

DevOps Software Engineering Games Java 295

The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. With request tracing and additional data from logs, events, metadata, and analysis, Edgar is able to show the flow of a request through our distributed system?—?what

Latency 299

Latency Transportation Engineering Traffic 299

The Netflix TechBlog

OCTOBER 8, 2024

Building on these foundational abstractions, we developed the TimeSeries Abstraction  — a versatile and scalable solution designed to efficiently store and query large volumes of temporal event data with low millisecond latencies, all in a cost-effective manner across various use cases. Let’s dive into the various aspects of this abstraction.

Latency 242

Latency Storage Traffic Tuning 242

Dynatrace

SEPTEMBER 5, 2023

Predictive AI uses machine learning, data analysis, statistical models, and AI methods to predict anomalies, identify patterns, and create forecasts. This enables efficient resource allocation, avoiding unnecessary expenses and ensuring optimal performance. Proactive resource allocation. Capacity planning.

Artificial Intelligence 271

Artificial Intelligence DevOps Analytics Engineering 271

The Netflix TechBlog

SEPTEMBER 24, 2021

Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances. From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step.

Cloud 242

Cloud Media Storage Cache 242

Dynatrace

JANUARY 4, 2024

It uses fault-tree analysis to identify the component events that cause outcomes at a higher level. Causal AI applies a deterministic approach to anomaly detection and root-cause analysis that yields precise, continuous, and actionable insights in real time. That’s where causal AI can help.

Government 212

Government Analytics Benchmarking Storage 212

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. If you don’t have insight into the software and services that operate your business, you can’t efficiently run your business. Minimizes downtime and increases efficiency.

Infrastructure 213

Infrastructure Monitoring Virtualization Serverless 213

Dynatrace

JULY 29, 2022

This is also known as root-cause analysis. Peak performance analysis. With the right log management and observability platform, IT teams can efficiently identify the root cause of problems during these peak times and maintain three-nines of availability — or 99.98%. Cold storage and rehydration. Indexing overhead.

Analytics 193

Analytics Storage Retail Monitoring 193

Dynatrace

OCTOBER 4, 2022

In most data storage models, indexing engines enable faster access to query logs. But indexing requires schema management and additional storage to be effective, which adds cost and overhead. This can vastly reduce an organization’s storage costs and improve data efficiency. Eliminates team silos.

Analytics 234

Analytics Storage Infrastructure Metrics 234

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Log monitoring enables the collection of log data, and log analysis promotes intelligent, data-driven decision making. Dynatrace news.

Cloud 195

Cloud Systems Analytics DevOps 195

Dynatrace

NOVEMBER 18, 2024

Adopting AI to enhance efficiency and boost productivity is critical in a time of exploding data, cloud complexities, and disparate technologies. The Grail™ data lakehouse provides fast, auto-indexed, schema-on-read storage with massively parallel processing (MPP) to deliver immediate, contextualized answers from all data at scale.

Cloud 210

Cloud Azure Artificial Intelligence Innovation 210

Dynatrace

AUGUST 1, 2022

You quickly realize that it will take ages to fill up the overprovisioned database storage. Two days later, your database runs out of storage in the middle of the night. Therefore, you don’t know your current growth rate and can’t estimate the required storage for keeping the database up and running for the next month.

Storage 200

Storage Database Network Metrics 200

Dynatrace

JUNE 6, 2023

Kubernetes enables efficient resource utilization by easily scaling applications and services based on demand. Comprehensive platform solutions that provide full-stack monitoring with AI at their core can automatically detect anomalies and provide root-cause analysis to prevent future issues. This helps to avoid downtime for end users.

Open Source 205

Open Source Storage Analytics Innovation 205

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 259

AWS Efficiency Azure Cloud 259

Dynatrace

SEPTEMBER 8, 2023

The query for pending deposit transactions within a specific time frame is useful for real-time analysis, issue investigation, performance assessment, impact assessment, and compliance/auditing purposes. This integration allows seamless connectivity to a variety of databases, enabling the real-time retrieval and storage of business data.

Database 279

Database Artificial Intelligence Metrics Monitoring 279

Dynatrace

MARCH 6, 2024

In fact, 81% of technology leaders say the effort their teams invest in maintaining monitoring tools and preparing data for analysis steals time from innovation. Kubernetes architectures make it easier to quickly scale services to new users and drive efficiency gains through dynamic resource provisioning.

Analytics 204

Analytics Innovation Strategy Storage 204

Dynatrace

OCTOBER 17, 2023

AI can help automate tasks, improve efficiency, and identify potential problems before they occur. Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. IT automation also helps improve operational efficiency by automating repetitive tasks.

Monitoring 239

Monitoring Artificial Intelligence Performance Analytics 239

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. “Logging” is the practice of generating and storing logs for later analysis. Dynatrace news. billion in 2020 to $4.1 What is log monitoring?

Analytics 222

Analytics Monitoring Artificial Intelligence DevOps 222

Dynatrace

OCTOBER 4, 2022

As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. Traditionally, though, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Analytics 204

Analytics Software Software Storage 204

Dynatrace

JULY 25, 2022

This new service enhances the user visibility of network details with direct delivery of Flow Logs for Transit Gateway to your desired endpoint via Amazon Simple Storage Service (S3) bucket or Amazon CloudWatch Logs. Automate cloud operations and trigger remediation workflow to enhance efficiency. What is AWS Transit Gateway?

AWS 229

AWS Transportation Network Traffic 229

Dynatrace

OCTOBER 30, 2023

One of the keys to managing cloud costs is ensuring that operations are running efficiently. But it is not only the number of clusters that matters, but also the storage underneath. As of today, the platform runs roughly 17,000 Kubernetes pods that need storage underneath.

Engineering 254

Engineering DevOps Innovation Storage 254

Dynatrace

OCTOBER 14, 2022

This contextualization of log data enables AI-powered problem detection and root cause analysis at scale. This allows you to create flexible and powerful log storage configurations on any level by utilizing the unique autodiscovery capabilities of Dynatrace OneAgent or a custom setup. Try it out yourself.

Storage 240

Storage Government Network Monitoring 240

Dynatrace

FEBRUARY 1, 2024

Options include expanding the tablespace, setting up automatic space management, or augmenting overall storage capacity to ensure uninterrupted database operations. To address this threat effectively, further investigation through log analysis or specialized database tools may be necessary for risk mitigation.

Database 196

Database Monitoring Games Metrics 196

Dynatrace

SEPTEMBER 7, 2022

With Amazon Web Services, the main sources from which to ingest logs—Simple Storage Service, or S3, and CloudWatch —come with an additional cost. The more relevant the data IT pros feed into the Dynatrace platform, the better the analysis and correlation of how VPN and other network traffic affect your environments.

Traffic 227

Traffic AWS Network Cloud 227

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. This talk explores the journey, learnings, and improvements to performance analysis, efficiency, reliability, and security.

AWS 38

AWS Entertainment Open Source Benchmarking 38