Dynatrace

MAY 8, 2023

This demand for rapid innovation is propelling organizations to adopt agile methodologies and DevOps principles to deliver software more efficiently and securely. And how do DevOps monitoring tools help teams achieve DevOps efficiency? Lost efficiency. 54% reported deploying updates every two hours or less.

DevOps 246

DevOps Efficiency Monitoring Infrastructure 246

Scalegrid

FEBRUARY 24, 2025

Scaling RabbitMQ ensures your system can handle growing traffic and maintain high performance. This guide will cover how to distribute workloads across multiple nodes, set up efficient clustering, and implement robust load-balancing techniques. Configuring quorum queues achieves high data safety and reliability in your RabbitMQ setup.

Best Practices 147

Best Practices Traffic Strategy Scalability 147

Scalegrid

FEBRUARY 27, 2025

Incremental Backups: Speeds up recovery and makes data management more efficient for active databases. Performance Optimizations PostgreSQL 17 significantly improves performance, query handling, and database management, making it more efficient for high-demand systems. Start your free trial today!

Speed 130

Speed Database Storage Efficiency 130

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 239

Latency Storage Traffic Tuning 239

The Netflix TechBlog

SEPTEMBER 18, 2024

Our goal was to build a versatile and efficient data storage solution that could handle a wide variety of use cases, ranging from the simplest hashmaps to more complex data structures, all while ensuring high availability, tunable consistency, and low latency. Developers just provide their data problem rather than a database solution!

Latency 260

Latency Storage Cache Servers 260

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. It also enhances syslog messages with additional context and optimizes network traffic, improving overall system resilience and security.

Innovation 290

Innovation AWS Analytics Storage 290

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

Dynatrace

NOVEMBER 28, 2023

Even when the staging environment closely mirrors the production environment, achieving a complete replication of all potential scenarios, such as simulating extremely high traffic volumes to assess software performance, remains challenging. This can lead to a lack of insight into how the code will behave when exposed to heavy traffic.

Traffic 279

Traffic Best Practices Strategy Engineering 279

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

AUGUST 16, 2023

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing. Bandwidth optimization: Caching reduces the amount of data transferred over the network, minimizing bandwidth usage and improving efficiency.

Cache 246

Cache Scalability Performance Latency 246

Dynatrace

SEPTEMBER 26, 2022

Progressive rollouts, rollbacks, storage orchestration, bin packing, self-healing, cost efficiency, and access to the Cloud Native Computing Foundation (CNCF) ecosystem carry heavy observability challenges. Unlike evictions from resource exhaustion on a node, this event resulted from ephemeral storage limits exceeded on the pod.

Storage 328

Storage Engineering Traffic Infrastructure 328

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. It involves both the collection and storage of logs, as well as aggregation, analysis, and even the long-term storage and destruction of log data.

Cloud 260

Cloud Systems Analytics DevOps 260

Dynatrace

JUNE 10, 2024

As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. For example, an organization might use security analytics tools to monitor user behavior and network traffic. Dehydrated data has been compressed or otherwise altered for storage in a data warehouse. Read now!

Analytics 264

Analytics Network Open Source Hardware 264

Dynatrace

JANUARY 11, 2023

Website monitoring examines a cloud-hosted website’s processes, traffic, availability, and resource use. Cloud storage monitoring. Teams can keep track of storage resources and processes that are provisioned to virtual machines, services, databases, and applications. Cloud-server monitoring.

Cloud 295

Cloud Monitoring Best Practices Infrastructure 295

The Netflix TechBlog

OCTOBER 19, 2020

Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. We earned the trust of our engineers by developing empathy for their operational burden and by focusing on providing efficient tracer library integrations in runtime environments.

Infrastructure 238

Infrastructure Transportation Storage Open Source 238

Dynatrace

SEPTEMBER 7, 2022

VPC Flow Logs is an Amazon service that enables IT pros to capture information about the IP traffic that traverses network interfaces in a virtual private cloud, or VPC. By default, each record captures a network internet protocol (IP), a destination, and the source of the traffic flow that occurs within your environment.

Traffic 246

Traffic AWS Network Cloud 246

Dynatrace

JUNE 1, 2023

This SLO highlights the importance of a smooth and efficient checkout experience. Traffic This SLO measures the amount of traffic or workload an application receives, either in terms of requests per second or data transfer rate. Thus, an ApDex score of 0.85 means that 85% of requests met that threshold. The Apdex score of 0.85

Website 245

Website Latency Traffic DevOps 245

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. VPC Flow Logs is a feature that gives you the capability to capture more robust IP traffic data that traverses your VPCs.

AWS 246

AWS Transportation Network Traffic 246

The Netflix TechBlog

NOVEMBER 29, 2023

1) depicts the migration of traffic from fixed bitrates to DO encodes. 1: Migration of traffic from fixed-ladder encodes to DO encodes. 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 graphic below (Fig.

Open Source 260

Open Source Software Engineering Internet Internet 260

Dynatrace

AUGUST 5, 2019

Resource consumption & traffic analysis. What is the network traffic going to be between services we migrate and those that have to stay in the current data center? How much traffic is sent between two processes hosting a certain service? Step 3: Detailed Traffic Dependency Analysis. What’s in your stack?”.

Cloud 38

Cloud Traffic Database Network 38

Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs). Endpoint monitoring (EM). Endpoints can be physical (i.e.,

Monitoring 246

Monitoring Social Media IoT Metrics 246

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. This talk explores the journey, learnings, and improvements to performance analysis, efficiency, reliability, and security. Wednesday?—?December

AWS 38

AWS Entertainment Open Source Benchmarking 38

Percona

DECEMBER 11, 2023

A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables. This separation aims to streamline transaction write logging, improving efficiency and consistency. Who can benefit from DLV? and later v10 versions MySQL: 8.0.28

AWS 117

AWS Benchmarking Performance Traffic 117

Dynatrace

JUNE 1, 2023

This SLO example highlights the importance of a smooth and efficient checkout experience. Traffic The traffic SLO example measures the amount of traffic or workload an application receives, either in terms of requests per second or data transfer rate. or above for the checkout process. The Apdex score of 0.85

Traffic 173

Traffic Website Latency DevOps 173

Percona

JUNE 22, 2023

We will also discuss related configuration variables to consider that can impact these KPIs, helping you gain a comprehensive understanding of your MySQL server’s performance and efficiency. Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution.

Performance 136

Performance Monitoring Traffic Database 136

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. For example, these include verifying app deployments, isolating faults coming from a single IP address, identifying root causes of traffic spikes, or investigating malicious user activity.

Analytics 246

Analytics Innovation Metrics Database 246

The Netflix TechBlog

MARCH 10, 2023

are stored in secure storage layers. Amsterdam is built on top of three storage layers. Since doing full table scans in Cassandra is not generally recommended on large tables (due to potential timeouts), our cassandra schema contains several reverse indices that help us query all data efficiently.

Strategy 264

Strategy Cache Storage Analytics 264

Percona

MARCH 29, 2023

Compression in any database is necessary as it has many advantages, like storage reduction, data transmission time, etc. Storage reduction alone results in significant cost savings, and we can save more data in the same space. By default, MongoDB provides a snappy block compression method for storage and network communication.

Storage 130

Storage Network Open Source Latency 130

Highly Scalable

MAY 1, 2012

On the other hand, when one is interested only in simple additive metrics like total page views or average price of conversion, it is obvious that raw data can be efficiently summarized, for example, on a daily basis or using simple in-stream counters. A group of several such sketches can be used to process range query. bits per unique value.

Analytics 191

Analytics Traffic Big Data Efficiency 191

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. Snapshots provide point-in-time captures of the dataset, which are efficient for recovery on startup.

Cache 130

Cache Storage Scalability Architecture 130

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Storage is a critical aspect to consider when working with cloud workloads. This opens up possibilities not only difficult but almost impossible to attain conventionally!

Cloud 130

Cloud Virtualization Storage Efficiency 130

All Things Distributed

JANUARY 18, 2012

s web-based applications often encounter database scaling challenges when faced with growth in users, traffic, and data. Behind the scenes, Amazon DynamoDB automatically spreads the data and traffic for a table over a sufficient number of servers to meet the request capacity specified by the customer. The growth of Amazonâ??s

Scalability 162

Scalability Database Ecommerce Latency 162

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. Thus making it an ideal choice for businesses seeking a successful implementation of their multi-cloud strategy.

Cloud 147

Cloud Strategy Scalability Artificial Intelligence 147

All Things Distributed

MARCH 7, 2013

Shazam needed to handle an enormous increase in traffic for the duration of the Super Bowl and used DynamoDB as part of their architecture. Indexed Storage costs : We are lowering the price of indexed storage by 75%. Virginia) Region, the price of data storage will drop from $1 per GB per month to $0.25. s prices by 70%.

Ecommerce 121

Ecommerce Storage Scalability Database 121

Scalegrid

AUGUST 30, 2024

Storage Encryption for Persistent Messages Protecting sensitive data from unauthorized access is crucial, and encrypting messages at rest safeguards this information should the physical storage be breached. It is essential during firewall configuration to restrict the number of open ports while managing inbound traffic effectively.

Transportation 130

Transportation Virtualization Strategy Storage 130

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. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

KeyCDN

FEBRUARY 22, 2023

Chatbots and virtual assistants Chatbots and virtual assistants are becoming more common on websites and web applications as they provide an efficient and convenient way for users to interact with a business. This can help to ensure that the website or web application remains available and responsive, even during periods of high traffic.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111