High Scalability

JANUARY 11, 2022

There are two major processes which gets executed when a user posts a photo on Instagram. 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.

Design 334

Design Media Storage Logistics 334

Dynatrace

MAY 14, 2020

The world’s most scalable, automatic distributed tracing pushes the boundary once again with enhanced Adaptive Load Management. A Dynatrace Managed cluster may lack the necessary hardware to process all the additional incoming data. This means that disk space requirements for Dynatrace transaction storage may increase.

Processing 154

Processing Hardware Traffic Storage 154

High Scalability

DECEMBER 16, 2022

Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. It allows users to access and use shared computing resources, such as servers, storage, and applications, on demand and without the need to manage the underlying infrastructure.

Cloud 201

Cloud Serverless Internet Internet 201

DZone

JULY 3, 2023

Data engineering projects often require the setup and management of complex infrastructures that support data processing, storage, and analysis. Traditionally, this process involved manual configuration, leading to potential inconsistencies, human errors, and time-consuming deployments.

Data Engineering 141

Data Engineering Infrastructure Engineering Code 141

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. Firstly, managing virtual networks can be complex as networking in a virtual environment differs significantly from traditional networking.

Efficiency 214

Efficiency Virtualization Hardware Performance 214

Scalegrid

NOVEMBER 29, 2023

As CTOs, database developers & experts, and DBAs seek more efficient, secure, and scalable cloud services solutions, DBaaS emerges as a compelling choice. This surge aligns with the 62% of companies reporting substantial data growth, underscoring the escalating need for scalable and agile database solutions.

Healthcare 130

Healthcare Hardware Database Scalability 130

Dynatrace

JUNE 9, 2023

Data volumes are growing all the time, making it harder to orchestrate, process, and analyze to turn information into insight. DevOps maturity is a model that measures the completeness and effectiveness of an organization’s processes for software development, delivery, operations, and monitoring. What is DevOps maturity?

DevOps 183

DevOps Analytics Storage Metrics 183

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Predictive analytics, powered by AI, enhance business processes and optimize resource allocation according to workload demands.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

FEBRUARY 2, 2022

This means you no longer have to procure new hardware, which can be a time-consuming and expensive process. No operational duties: Dynatrace operates the product for you with auto-discovery of your entire stack, end-to-end, including processes running inside containers.

Azure 320

Azure Availability Hardware Innovation 320

Dynatrace

OCTOBER 17, 2023

As a result, IT organizations are overwhelmed as they strive to balance cost control processes with ensuring that their respective organizations have access to all the data required for their various use cases. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs). Ingest and process.

Retail 237

Retail Storage Best Practices Architecture 237

The Netflix TechBlog

OCTOBER 19, 2020

Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices. The process started with manual pull of member account information that was part of the session.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

DZone

SEPTEMBER 14, 2023

From an architectural perspective, the system should be able to undertake real-time analysis of various formats of logs, and of course, be scalable to support the huge and ever-enlarging data size.

Analytics 124

Analytics Storage Architecture Scalability 124

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

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 analytics, on the other hand, is the process of using the gathered logs to extract business or operational insight. Dynatrace news.

Systems 185

Systems Cloud Analytics DevOps 185

Percona

OCTOBER 13, 2023

When MySQL generates a core file, the VS code simplifies the process of debugging. Once the debug process starts, we can find the debug toolbar at the top center and threading information on the CALL STACK view. storage/innobase/./././mysql-8.0.34/storage/innobase/row/row0sel.cc': storage/innobase/./././mysql-8.0.34/":

Code 105

Code C++ Storage Programming 105

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance. Interoperability with Hadoop.

Big Data 154

Big Data Processing Lambda Database 154

Dynatrace

JANUARY 22, 2024

Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases. Data lakehouses combine a data lake’s flexible storage with a data warehouse’s fast performance. Government. That’s why many organizations turn to data lakehouses.

Artificial Intelligence 207

Artificial Intelligence Healthcare Retail Government 207

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. What is a distributed storage backend? SOSP’19. This is not surprising in hindsight.

Storage 64

Storage Systems Hardware Efficiency 64

Dynatrace

MARCH 24, 2023

Container orchestration is a process that automates the deployment and management of containerized applications and services at scale. Container orchestration enables organizations to manage and automate the many processes and services that comprise workflows. How does container orchestration work?

Infrastructure 186

Infrastructure Open Source Operating System Cloud 186

Scalegrid

JANUARY 9, 2024

The selection process for a suitable cloud provider is crucial as it involves aligning business objectives, regulatory requirements, and current technological infrastructure with strong cloud security measures. This process involves converting regular data into a coded form, which helps to protect its privacy and guard against cyber threats.

Strategy 130

Strategy Cloud Best Practices Government 130

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 199

Monitoring Serverless Programming Speed 199

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 199

Monitoring Serverless Programming Speed 199

Percona

OCTOBER 10, 2023

This is not a general rule, but as databases are responsible for a core layer of any IT system – data storage and processing — they require reliability. introduces is the limitation of the downgrade process. Percona offers upgrade support to get you safely through the upgrade process. on your radar.

Availability 103

Availability Servers Database Open Source 103

Dynatrace

JUNE 8, 2020

Meeting the requirements of a tier-0 application demands the highest level of reliability and scalability, which Dynatrace enables through extensive self-monitoring and self-healing across the entire application stack down to the infrastructure level. It is more critical to our business than any other revenue-driving application.”

Software 165

Software Software Programming Metrics 165

Dynatrace

DECEMBER 18, 2023

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. This covers the infrastructure, processes, and the application stack, including tracing, profiling, and logs. Jolly good!

Metrics 178

Metrics Engineering Energy Tuning 178

VoltDB

JULY 10, 2018

In these use cases, data processing usually has less than a 5 milliseconds latency budget. With the stored procedures framework, and the in-memory data storage engine, VoltDB drives most complex business logic in the lowest latency in a scalable manner, even in a virtualized environment like VMs and containers.

Architecture 40

Architecture Scalability Ecommerce Latency 40

VoltDB

JULY 10, 2018

In these use cases, data processing usually has less than a 5 milliseconds latency budget. With the stored procedures framework, and the in-memory data storage engine, VoltDB drives most complex business logic in the lowest latency in a scalable manner, even in a virtualized environment like VMs and containers.

Architecture 40

Architecture Scalability Ecommerce Latency 40

Dynatrace

AUGUST 9, 2023

With automated processes, you can rapidly identify patterns, correlations, and deviations, allowing security teams to focus on investigating and mitigating emerging threats. Log storage and data retention : As regulations grow more stringent, data retention requirements and costs can quickly mount.

Analytics 218

Analytics Metrics Database Storage 218

Dynatrace

FEBRUARY 10, 2023

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. By automating workflows, teams throughout the organization can eliminate manual processes and improve outcomes.

Efficiency 276

Efficiency Performance Analytics DevOps 276

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. Hyperscalers offer a competitive price point for small to medium-sized hosts.

Open Source 343

Open Source Java Operating System Programming 343

Percona

MARCH 21, 2023

The replica doesn’t have checking capabilities when processing replicated transactions as of MySQL 8.0.18. require_row_format, on the other hand, can be used to ensure that tables in the InnoDB storage engine use the ROW format, which is the most secure option for replication.

Storage 90

Storage Open Source Database Engineering 90

The Netflix TechBlog

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. On the other hand, these optimizations themselves need to be sufficiently inexpensive to justify their own processing cost over the gains they bring.

Storage 203

Storage Latency Efficiency Data Engineering 203

Dynatrace

JANUARY 31, 2024

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. Data is then dynamically routed into pipelines for further processing. Understanding the context.

Analytics 194

Analytics Processing Transportation Storage 194

Dynatrace

JANUARY 23, 2024

The following resources provide more information on how to get the most out of your AI investment, the importance of data quality for business success, and automating manual IT processes to prioritize innovation. Teams face siloed processes and toolsets, vast volumes of data, and redundant manual tasks.

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

The Netflix TechBlog

MAY 4, 2023

The first phase involves validating functional correctness, scalability, and performance concerns and ensuring the new systems’ resilience before the migration. Once we discover and address those issues, we can use the replay testing process iteratively to bring down the mismatch percentage to an acceptable number.

Traffic 339

Traffic Latency Tuning Systems 339

Dynatrace

DECEMBER 15, 2022

While engaging the automatic instrumentation of the Dynatrace OneAgent makes log ingestion automatic and scalable , our customers have set up multiple other log ingestion methods. Fluentd is known for its flexibility and is also highly scalable, which makes it a good choice for high-volume environments.

Strategy 180

Strategy AWS Open Source Transportation 180

Percona

JUNE 4, 2023

Introduction: MariaDB vs. MySQL The goal of this blog post is to evaluate, at a higher level, MariaDB vs. MySQL vs. Percona Server for MySQL side-by-side to better inform the decision making process. In addition, MariaDB provides optimal scalability options, making it ideal for growing workloads. Contact us to learn more!

Open Source 52

Open Source Servers Storage Scalability 52