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

DZone

JUNE 28, 2024

At first, data tiering was a tactic used by storage systems to reduce data storage costs. This involved grouping data that was not accessed as often into more affordable, if less effective, storage array choices. Even though they are quite costly, SSDs and flash can be categorized as high-performance storage classes.

Azure 223

Azure Storage Performance Cloud 223

Scalegrid

FEBRUARY 6, 2025

Message brokers handle validation, routing, storage, and delivery, ensuring efficient and reliable communication. Message Broker vs. Distributed Event Streaming Platform RabbitMQ functions as a message broker, managing message confirmation, routing, storage, and delivery within a queue. What is RabbitMQ?

Latency 147

Latency Analytics Architecture Storage 147

DZone

MARCH 2, 2023

It must be said that this video traffic phenomenon primarily owes itself to modernizations in the scalability of streaming infrastructure, which simply weren’t present fifteen years ago.

Social Media 281

Social Media Java Traffic Internet 281

The Netflix TechBlog

FEBRUARY 13, 2023

We will then present a case study of using these components in order to optimize, scale, and solidify an existing pipeline. Media Feature Storage: Amber Storage Media feature computation tends to be expensive and time-consuming. We accomplish this by paving the path to: Accessing and processing media data (e.g.

Media 293

Media Storage Infrastructure Systems 293

Scalegrid

JULY 17, 2020

Note: If a particular key is always present in your document, it might make sense to store it as a first class column. JSONB storage has some drawbacks vs. traditional columns: PostreSQL does not store column statistics for JSONB columns. JSONB storage results in a larger storage footprint.

Storage 321

Storage Database Efficiency Availability 321

The Morning Paper

MARCH 8, 2020

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) But the ephemeral storage service for intermediate data is not based on S3.

Storage 112

Storage Engineering Cache Serverless 112

Dynatrace

MAY 21, 2024

Observability data presents executives with new opportunities to achieve this, by creating incremental value for cloud modernization , improved business analytics , and enhanced customer experience. That’s because it does not require any pre-prepared schemas, and access to cold/hot storage is fully automatic and with zero latency.

Technology 275

Technology Technology Analytics Storage 275

Dynatrace

SEPTEMBER 28, 2020

I wanted to present as much information as possible. Before we dive into the technical implementation, let me explain the visual concept of this “Global Status Page”: Another requirement for this status page was that it has to be lightweight, with no data storage at all. Real-time problem visualization of lots of environments.

Storage 276

Storage Architecture Tuning Efficiency 276

Dynatrace

NOVEMBER 6, 2023

Observability on edge devices presents unique challenges compared to traditional data-center or cloud-based environments. But there’s more than just a need for minimizing resource (CPU, memory, storage) and network (bandwidth) consumption for observability at the edge. Remote management and automated alerting are, therefore, crucial.

Retail 306

Retail Analytics Storage Cloud 306

Dynatrace

OCTOBER 23, 2023

Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. This presents a challenge for IT operations teams, specifically in identifying and addressing performance issues or planning how to prevent future issues.

Efficiency 264

Efficiency Virtualization Hardware Performance 264

Dynatrace

JULY 29, 2022

At the same time, log analytics can present challenges as data volumes explode, particularly in traditional environments that lack end-to-end observability solutions. 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 246

Analytics Storage Retail DevOps 246

Dynatrace

JULY 29, 2022

At the same time, log analytics can present challenges as data volumes explode, particularly in traditional environments that lack end-to-end observability solutions. 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 245

Analytics Storage Retail DevOps 245

The Netflix TechBlog

APRIL 27, 2023

While Atlas is architected around compute & storage separation, and we could theoretically just scale the query layer to meet the increased query demand, every query, regardless of its type, has a data component that needs to be pushed down to the storage layer.

Storage 293

Storage Cache Metrics Database 293

Dynatrace

JANUARY 11, 2023

These next-generation cloud monitoring tools present reports — including metrics, performance, and incident detection — visually via dashboards. Cloud storage monitoring. Teams can keep track of storage resources and processes that are provisioned to virtual machines, services, databases, and applications.

Cloud 295

Cloud Monitoring Best Practices Infrastructure 295

Dynatrace

OCTOBER 14, 2022

If a more granular rule is present on the host level, that rule will precede any blanket rule on, for example, the tenant level. 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. Host group.

Storage 278

Storage Government Network Infrastructure 278

Dynatrace

OCTOBER 4, 2022

But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. 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.

Analytics 264

Analytics Storage Infrastructure Metrics 264

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. Sample latency analysis Edgar should reduce burden, not add to it Presenting all of this data in one interface reduces the footwork of an engineer to uncover each source.

Latency 297

Latency Transportation Engineering Traffic 297

All Things Distributed

DECEMBER 27, 2012

My Best Christmas Present â?? S3 is not only a highly reliable and available storage service but also one of the most powerful web serving engines that exists today. Root Domain Support for Amazon S3 Website Hosting. By Werner Vogels on 27 December 2012 12:00 PM. Comments ().

Website 102

Website Traffic Storage Scalability 102

Dynatrace

OCTOBER 9, 2024

Dynatrace SaaS presents a lower total cost of ownership (TCO), enabling customers to consolidate various tools, thereby optimizing costs and enhancing internal user experiences. Moving customers from Managed to SaaS presents a valuable opportunity to grow customer accounts by delivering enhanced end-to-end value.

Innovation 244

Innovation Hardware Storage Cloud 244

Dynatrace

DECEMBER 16, 2020

Every storage location involving data at rest is encrypted as well. The security controls presented above are audited on an annual basis by independent security assessors. No manual, error-prone steps are involved. Communication involving data in transit is encrypted using the latest industry standards (TLS 1.2).

Software 289

Software Software Development AWS 289

DZone

NOVEMBER 2, 2020

Initially, Outlook users make PST (as an ellipsis for personal storage tables) files to save them from the slow presentation as well as data corruption. Outlook data files (PST) cover all the mailbox data and its features such as contacts, emails, calendars, etc. Here, we will learn the technique to merge PST files.

Storage 194

Storage Technology Technology Performance 194

The Netflix TechBlog

OCTOBER 8, 2024

However, storing and querying such data presents a unique set of challenges: High Throughput : Managing up to 10 million writes per second while maintaining high availability. Storage Layer The storage layer for TimeSeries comprises a primary data store and an optional index data store. Note : With Cassandra 4.x

Latency 235

Latency Storage Traffic Infrastructure 235

Dynatrace

JULY 31, 2020

You’re then presented with the Dynatrace Managed cluster deployment page, which contains basic information about Dynatrace, the solution itself, and a link to our documentation. We’re currently adding individual mount points for different storage types and separate disk setup for each of these storage types.

Cloud 264

Cloud Availability Azure Google 264

The Netflix TechBlog

NOVEMBER 29, 2023

We present two sets. On the other hand, the optimized ladder presents a sharper increase in quality with increasing bitrate. In spite of reaching higher qualities than the fixed ladder, the HDR-DO ladder, on average, occupies only 58% of the storage space compared to fixed-bitrate ladder. The first set (Fig.

Open Source 256

Open Source Software Engineering Internet Internet 256

Dynatrace

JUNE 9, 2023

Data scale and silos present challenges to DevOps maturity DevOps teams often run into problems trying to drive better data-driven decisions with observability and security data. When data storage strategies become problematic to DevOps maturity Data warehouse-based approaches add cost and time to analytics projects.

DevOps 246

DevOps Analytics Storage Metrics 246

The Netflix TechBlog

OCTOBER 27, 2020

For how our machine learning recommendation systems leverage our key-value stores, please see more details on this presentation. Then the KV DAL handles writing to the appropriate underlying storage engines depending on latency, availability, cost, and durability requirements.

Latency 248

Latency Storage Big Data Tuning 248

Dynatrace

AUGUST 21, 2024

While it is powerful, it presents several challenges that affect its adoption. With Dynatrace, teams can seamlessly monitor the entire system, including network switches, database storage, and third-party dependencies. Chaos engineering is a practice that extends beyond traditional failure testing by identifying unpredictable issues.

Engineering 262

Engineering Systems Latency Metrics 262

The Netflix TechBlog

AUGUST 28, 2020

In this blog post, we present benefits of applying the above-mentioned optimizations to standard dynamic range (SDR) 10-bit and 4K streams (some titles are also HFR). For example, two 1080p points with identical VMAF score or four 4K points with identical VMAF score, resulting in wasted bits and increased storage footprint.

Network 334

Network Storage Innovation Mobile 334

Dynatrace

OCTOBER 20, 2020

To free disk space, log files related to metric and configuration storage, in addition to Elasticsearch log files, are now automatically deleted after two months. The Cluster nodes overview page now displays Dynatrace version and transaction storage size details for each node. Cluster Management Console.

Storage 145

Storage Metrics Systems 145

Dynatrace

MAY 26, 2021

In the keynote by Christina Yakomin and Steve Prazenica from Vanguard, the presenters recounted their journey from a monolith with alert-based incident reporting and no positive health signals to an observable microservice architecture. Trace-based sampling can help you save storage costs.

AWS 246

AWS Strategy Storage Metrics 246

Dynatrace

AUGUST 28, 2020

Azure Data Lake Storage Gen1. The other perspective that’s presented on the Azure Automation dashboard is the state of your deployment runs. We’re happy to announce that now you can gain cloud monitoring excellence with Dynatrace for 15 additional Azure services, including: Azure Automation Account. Azure Logic Apps.

Azure 235

Azure Cloud Tuning Monitoring 235

Dynatrace

JANUARY 16, 2023

The immense growth of Kubernetes presents new security challenges in runtime and increased complexity in hardening CI/CD pipelines in development. Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments.

Open Source 358

Open Source Java Operating System Programming 358

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. Amazon Simple Storage Service (S3). Metrics for each service instance are presented in detailed charts—see the example for ECS below. Dynatrace news. Amazon Simple Queue Service (SQS).

AWS 200

AWS Metrics IoT Storage 200

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. A feature that enables you to present log data in a filterable table that is easy to work with. Log Viewer. Log Events.

AWS 246

AWS Transportation Network Traffic 246

Dynatrace

FEBRUARY 14, 2022

Among these, you can find essential elements of application and infrastructure stacks, from app gateways (like HAProxy), through app fabric (like RabbitMQ), to databases (like MongoDB) and storage systems (like NetApp, Consul, Memcached, and InfluxDB, just to name a few). Customizable dashboard. Specialized Unified Analysis page.

Technology 246

Technology Technology Metrics Infrastructure 246

The Netflix TechBlog

MARCH 7, 2023

But we cannot search or present low latency retrievals from files Etc. The solution which we present in this blog is not limited to annotations and can be used for any other domain which uses ES and Cassandra as well. This is obviously very expensive. Write algo runs into files.

Media 268

Media Latency Architecture Database 268