Percona

FEBRUARY 10, 2023

Previously, deploying and maintaining a database usually meant many burdensome chores and repetitive tasks to ensure proper functioning. ViewBlock , a blockchain explorer, uses the Percona Operator for MongoDB to store critical data. In our lab we will use AWS EKS with a standard storage class.

Storage 109

Storage Blockchain AWS Cloud 109

DZone

OCTOBER 24, 2023

The ELK stack is an abbreviation for Elasticsearch, Logstash, and Kibana, which offers the following capabilities: Elasticsearch: a scalable search and analytics engine with a log analytics tool and application-formed database, perfect for data-driven applications.

Analytics 255

Analytics Storage Infrastructure Scalability 255

High Scalability

JANUARY 11, 2022

from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. After that, the various services (e.g.

Design 334

Design Media Storage Logistics 334

Scalegrid

NOVEMBER 12, 2019

PostgreSQL is an amazing relational database. However, beyond just the features, there are other important aspects of a database that need to be considered. However, beyond just the features, there are other important aspects of a database that need to be considered. Feature-wise, it is up there with the best, if not the best.

Database 184

Database Open Source Storage Servers 184

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.

Big Data 154

Big Data Processing Lambda Database 154

The Netflix TechBlog

OCTOBER 15, 2019

Part I: Overview Andreas Andreakis , Falguni Jhaveri , Ioannis Papapanagiotou , Mark Cho , Poorna Reddy , Tongliang Liu Overview It is a commonly observed pattern for applications to utilize multiple datastores where each is used to serve a specific need such as storing the canonical form of data (MySQL etc.), caching (Memcached etc.),

Transportation 192

Transportation Architecture Processing Storage 192

DZone

JANUARY 20, 2023

Having a distributed and scalable graph database system is highly sought after in many enterprise scenarios. Do Not Be Misled Designing and implementing a scalable graph database system has never been a trivial task.

Scalability 201

Scalability Big Data Hardware Internet 201

Dynatrace

MAY 14, 2020

Dynatrace just makes this easy—it comes out-of-the-box, no silos of data, no DIY stitching together tools, no wasted time, and no wasted resources. . A Dynatrace Managed cluster may lack the necessary hardware to process all the additional incoming data. Please watch disk space usage and extend it if needed.

Processing 150

Processing Hardware Traffic Storage 150

Percona

JANUARY 24, 2023

Databases on Kubernetes continue their rising trend. Our Operators provide built-in backup and restore capabilities, but some users are still looking for old-fashioned ways, like storage-level snapshots (i.e., Both your storage and Container Storage Interface (CSI) must support snapshots. AWS EBS Snapshots).

Database 66

Database Storage Open Source AWS 66

Scalegrid

NOVEMBER 29, 2023

In today’s rapidly evolving digital landscape, the way we manage databases is undergoing a transformative shift. The rise of Database-as-a-Service (DBaaS) is not just a trend but a strategic response to the growing complexities of data management. However, using a database as a service is not without its set of challenges.

Healthcare 130

Healthcare Hardware Database Scalability 130

Percona

APRIL 14, 2023

A shared characteristic in most (if not all) databases, be them traditional relational databases like Oracle, MySQL, and PostgreSQL or some kind of NoSQL-style database like MongoDB, is the use of a caching mechanism to keep (a copy of) part of the data in memory. So, how do you know if your hot data is in memory?

Cache 90

Cache Efficiency Database Monitoring 90

Percona

APRIL 14, 2023

Below, we outline some proactive steps for achieving cost efficiency and maintaining performant database environments amid a turbulent economy: 1. Consolidate workloads: In the past, you might have wanted to split out additional replicas or cluster nodes to process specific types of workloads, such as those related to reporting.

Database 81

Database Serverless Tuning Cloud 81

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

Analytics 207

Analytics Storage Retail Monitoring 207

Dynatrace

OCTOBER 23, 2023

Hyper-V plays a vital role in ensuring the reliable operations of data centers that are based on Microsoft platforms. Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. What is Microsoft Hyper-V?

Efficiency 206

Efficiency Virtualization Hardware Performance 206

Scalegrid

JANUARY 9, 2024

ScaleGrid emphasizes a security-first approach, with comprehensive cloud security features for sensitive data protection, compliance adherence, and continuous improvement to protect against emerging cyber threats. An effective choice when securing their data on the cloud can greatly influence an organization’s success.

Strategy 130

Strategy Cloud Best Practices Government 130

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

Analytics 175

Analytics Storage Retail Monitoring 175

Percona

SEPTEMBER 1, 2023

MySQL performance tuning offers several significant advantages for effective database management and optimization. Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. Experiencing database performance issues?

Tuning 52

Tuning Database Performance Hardware 52

Percona

MARCH 21, 2023

We want to improve our ability to replicate your data and limit replication to row-based events securely, wherein we do not have control over the source(s). The replica doesn’t have checking capabilities when processing replicated transactions as of MySQL 8.0.18. It does this to carry out all instructions from its upstream.

Storage 86

Storage Open Source Database Engineering 86

Smashing Magazine

SEPTEMBER 28, 2022

Five Data-Loading Patterns To Improve Frontend Performance. Five Data-Loading Patterns To Improve Frontend Performance. Every unnecessary bit of JavaScript code you bundle and serve will be more code the client has to load and process. It is important to note how much data the client needs to download. Large preview ).

Cache 125

Cache Performance Servers Social Media 125

Scalegrid

JANUARY 8, 2024

Key Takeaways AI integration in cloud computing increases operational efficiency by automating processes, optimizing resource allocation, and improving scalability, leading to cost savings and allowing IT teams to concentrate on strategic initiatives. Discover how AI is reshaping the cloud and what this means for the future of technology.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. The strongest Kubernetes growth areas are security, databases, and CI/CD technologies. Java, Go, and Node.js

Open Source 337

Open Source Java Operating System Programming 337

Scalegrid

NOVEMBER 23, 2023

Imagine a world where your PostgreSQL® database connections are seamless and secure. Key Takeaways Understanding PostgreSQL hostname is essential for successful database connections. Configure the PostgreSQL hostname by editing configuration files and restarting the server, with secure storage of connection details to enhance security.

Database 130

Database Servers Storage Network 130

Dynatrace

DECEMBER 18, 2023

This challenge has given rise to the discipline of observability engineering, which concentrates on the details of telemetry data to fine-tune observability use cases. To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus. What is Prometheus?

Metrics 171

Metrics Engineering Energy Tuning 171

Scalegrid

JANUARY 20, 2020

Follower clusters are a ScaleGrid feature that allows you to keep two independent database systems (of the same type) in sync. Unlike cloning or replication, this allows you to maintain an active, point-in-time copy of your production data. Note: ScaleGrid implements follower clusters using storage snapshots.

Analytics 185

Analytics Storage Database Systems 185

Percona

MAY 1, 2023

It has default settings for all of the database parameters. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. The performance of a PostgreSQL database has a significant impact on the overall effectiveness of an application.

Tuning 52

Tuning Efficiency Database Performance 52

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

Scalegrid

JANUARY 25, 2024

Redis® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. Redis returns a big list of database metrics when you run the info command on the Redis shell. This blog post lists the important database metrics to monitor.

Metrics 130

Metrics Monitoring Latency Cache 130

SQL Performance

APRIL 15, 2020

SQL Server has always provided the ability to capture actual queries in an easily-consumable rowset format – first with legacy SQL Server Profiler, later via Extended Events, and now with a combination of those two concepts in Azure SQL Database. Unfortunately, my excitement was short lived for a couple of reasons.

Azure 96

Azure Database Tuning Network 96

All Things Distributed

MAY 19, 2017

In many, high-throughput, OLTP style applications the database plays a crucial role to achieve scale, reliability, high-performance and cost efficiency. For a long time, these requirements were almost exclusively served by commercial, proprietary databases.

Database 117

Database Design Cloud Storage 117

Percona

JULY 13, 2023

With the rise of globalization, the need to store and process multilingual data has become essential. MySQL, one of the most popular relational database management systems, recognizes this need and has introduced utf8mb4 in its 8.0 The first two rows contain simple text data, while the third row contains an emoji.

Database 92

Database Games Open Source Engineering 92

Dynatrace

AUGUST 9, 2023

The massive volumes of log data over months, sometimes years, of a breach have made this a complicated and expensive problem to solve. Teams must evolve to continuously create reliable, automated responses based on precise data-driven insights. and “was any sensitive data stolen?”

Analytics 211

Analytics Metrics Database Storage 211

The Netflix TechBlog

DECEMBER 21, 2020

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. 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

Percona

JANUARY 5, 2023

Space constraint has been an endless and painstaking process for many of us, especially in systems that have a high number of transactions and data growth exceeding hundreds of GBs in a matter of days. MySQL won’t shrink tablespace and storage won’t be released to the file system. What is partitioning? 1 mysql mysql 9.0G

Traffic 59

Traffic Engineering Speed Storage 59

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

The Netflix TechBlog

JUNE 12, 2023

The agent also enables rotation of recovery keys after use, local storage and validation of recovery keys, and other features. The Escrow Buddy repository leverages GitHub Actions to streamline the process of building new codesigned and notarized releases when new changes are merged into the main branch.

Open Source 194

Open Source Database Servers Storage 194

Dynatrace

FEBRUARY 2, 2023

This process is often slow because component setup takes time. The AI-powered Dynatrace platform instantly takes advantage of this data and provides deep observability for Azure workloads, combining all observability data to deliver answers and intelligent automation. “We

Azure 218

Azure Cloud Monitoring Metrics 218

Testsigma

MAY 7, 2020

IBM Big Data and Analytics Hub website cited a case study, where a US insurance company was estimating 15% of their testing efforts to be just test data collection for the backend system and the frontend system. The test data management for the company had become a big problem and had to be solved. What is test data?

Testing 60

Testing Storage Database Processing 60