Dynatrace

FEBRUARY 1, 2024

Maintaining optimal application performance is crucial for businesses, and fast databases are vital in achieving this goal. For an effective approach to database performance, it’s crucial to have a comprehensive overview of all databases, including server-side DBs.

Database 246

Database Monitoring Games Metrics 246

Scalegrid

AUGUST 22, 2019

In the final post of this series, we will review the last solution, Patroni by Zalando, and compare all three at the end so you can determine which high availability framework is best for your PostgreSQL hosting deployment. Managing High Availability in PostgreSQL – Part I: PostgreSQL Automatic Failover. Patroni for PostgreSQL.

Availability 277

Availability Servers Network Testing 277

Dynatrace

SEPTEMBER 8, 2023

In part 2, we’ll show you how to retrieve business data from a database, analyze that data using dashboards and ad hoc queries, and then use a Davis analyzer to predict metric behavior and detect behavioral anomalies. However, as we highlighted previously, business data can be significantly more complex than simple metrics.

Database 290

Database Artificial Intelligence Metrics Monitoring 290

The Netflix TechBlog

DECEMBER 3, 2022

by Jasmine Omeke , Obi-Ike Nwoke , Olek Gorajek Intro This post is for all data practitioners, who are interested in learning about bootstrapping, standardization and automation of batch data pipelines at Netflix. You may remember Dataflow from the post we wrote last year titled Data pipeline asset management with Dataflow.

Best Practices 361

Best Practices Code Testing Data Engineering 361

The Netflix TechBlog

JULY 26, 2021

From the moment a Netflix film or series is pitched and long before it becomes available on Netflix, it goes through many phases. Operational Reporting is a reporting paradigm specialized in covering high-resolution, low-latency data sets, serving detailed day-to-day activities¹ and processes of a business domain.

Big Data 257

Big Data Government Processing Analytics 257

The Netflix TechBlog

AUGUST 1, 2022

Data Mesh?—?A A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A After evaluating the options , the team has decided to create Data Mesh as our next generation data pipeline solution.

Processing 273

Processing Transportation Entertainment Tuning 273

Dynatrace

APRIL 21, 2022

While applications are built using a variety of technologies and frameworks, there is one thing they usually have in common: the data they work with must be stored in databases. Now, Dynatrace has gone a step further and expanded its coverage and intelligent observability into the next layer: database infrastructure.

Database 246

Database DevOps Analytics Servers 246

Scalegrid

MARCH 10, 2025

A graphical user interface (GUI) helps simplify how you interact with your MySQL databases. Whether youre a developer, database administrator, or data analyst, a good GUI can make everyday tasks faster, clearer, and less error-prone.

Open Source 162

Open Source Database Design Cloud 162

Scalegrid

OCTOBER 18, 2024

Structured Query Language (SQL) is a simple declarative programming language utilized by various technology and business professionals to extract and transform data. To conclude, GUIs are a vital addition to ease the lives of database users and developers.

Open Source 147

Open Source Database Cloud Operating System 147

Dynatrace

DECEMBER 9, 2020

If you’re running SAP, you’re likely already familiar with the HANA relational database management system. HANA maintains all the business and analytics data that your business runs on. Today we’re proud to announce that we’ve extended our SAP monitoring capabilities to support SAP HANA databases.

Infrastructure 246

Infrastructure Database Monitoring Metrics 246

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. Data volume explosion in multicloud environments poses log issues.

Analytics 264

Analytics Storage Infrastructure Metrics 264

Scalegrid

JULY 17, 2020

It is an open standard format which organizes data into key/value pairs and arrays detailed in RFC 7159. JSON is the most common format used by web services to exchange data, store documents, unstructured data, etc. You can also check out our Working with JSON Data in PostgreSQL vs. JSONB Patterns & Antipatterns.

Storage 321

Storage Database Efficiency Processing 321

The Netflix TechBlog

SEPTEMBER 18, 2024

Central to this infrastructure is our use of multiple online distributed databases such as Apache Cassandra , a NoSQL database known for its high availability and scalability. Over time as new key-value databases were introduced and service owners launched new use cases, we encountered numerous challenges with datastore misuse.

Latency 260

Latency Storage Cache Servers 260

The Netflix TechBlog

MARCH 7, 2023

These media focused machine learning algorithms as well as other teams generate a lot of data from the media files, which we described in our previous blog , are stored as annotations in Marken. There are many naive solutions possible for this problem for example: Write different runs in different databases. in a video file.

Media 272

Media Latency Architecture Database 272

Dynatrace

NOVEMBER 1, 2021

As cloud applications have become the norm, the databases that power these applications are now typically run as managed services by cloud providers. Optimize database performance. Small changes in a database can have an enormous impact on overall application performance. One place to rule them all.

Azure 246

Azure Database Performance Monitoring 246

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it. More in the following sub-section.)

Availability 132

Availability Database Open Source Hardware 132

DZone

AUGUST 21, 2021

This article describes 3 different tricks that I used in dealing with big data sets (order of 10 million records) and that proved to enhance performance dramatically. Trick 1: CLOB Instead of Result Set.

Big Data 246

Big Data Performance Tuning Mobile 246

Dynatrace

FEBRUARY 4, 2025

Were excited to announce that Davis CoPilot Chat is now available across the Dynatrace platform. Davis CoPilot, launched in October 2024 to support Dynatrace users with access to their data , now extends across the platform, streamlining user onboarding and providing comprehensive support and contextual insights from various Dynatrace Apps.

Database 130

Database Efficiency Availability Speed 130

Scalegrid

JUNE 4, 2020

ScaleGrid is a fully managed DBaaS that supports MySQL, PostgreSQL and Redis™, along with additional support for MongoDB® database and Greenplum® database. Along with many popular cloud providers, DigitalOcean also provides a Managed Databases service. So, which database service is right for your application? Single Node.

Database 230

Database Latency Benchmarking Performance 230

Dynatrace

JANUARY 31, 2024

I have ingested important custom data into Dynatrace, critical to running my applications and making accurate business decisions… but can I trust the accuracy and reliability?” ” Welcome to the world of data observability. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 272

DevOps Analytics Airlines Metrics 272

Scalegrid

FEBRUARY 27, 2025

Incremental Backups: Speeds up recovery and makes data management more efficient for active databases. Improved JSON Handling & Security: Improved logical replication and the new MAINTAIN privilege give database administrators more control and flexibility. Start your free trial today!

Speed 130

Speed Database Storage Efficiency 130

The Netflix TechBlog

OCTOBER 27, 2020

By Tianlong Chen and Ioannis Papapanagiotou Netflix has more than 195 million subscribers that generate petabytes of data everyday. Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy.

Latency 252

Latency Storage Big Data Tuning 252

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. ITOA collects operational data to identify patterns and anomalies for faster incident management and near-real-time insights.

Analytics 246

Analytics Artificial Intelligence Big Data Open Source 246

Dynatrace

AUGUST 3, 2020

For example: To provide support, you need a remote desktop service to be available. You also require part of your infrastructure to serve an MS SQL database with MS Distributed Transaction Coordinator. Easily create availability checks for your Windows services. Alerts for Windows service availability.

Infrastructure 222

Infrastructure Availability Monitoring Operating System 222

Dynatrace

FEBRUARY 28, 2024

In a digital-first world, site reliability engineers and IT data analysts face numerous challenges with data quality and reliability in their quest for cloud control. Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices.

Analytics 246

Analytics Metrics Media Monitoring 246

Dynatrace

FEBRUARY 16, 2023

How do you get more value from petabytes of exponentially exploding, increasingly heterogeneous data? The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.

Analytics 246

Analytics Innovation Metrics Database 246

Dynatrace

MAY 17, 2023

OpenTelemetry , the open source observability tool, has become the go-to standard for instrumenting custom applications to collect observability telemetry data. For this third and final part of our series, we saved the best for last: How you can enhance telemetry data even more and with less effort on your end with Dynatrace OneAgent.

Metrics 243

Metrics Database Monitoring Network 243

Dynatrace

AUGUST 20, 2024

Driven by that value, Dynatrace brings real-time observability, security, and business data into context and makes sense of it so our customers can get answers, automate, predict, and prevent. Executives are sitting on a goldmine of data, and they don’t know it.

Analytics 285

Analytics Latency Processing Systems 285

The Netflix TechBlog

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 239

Latency Storage Traffic Tuning 239

The Netflix TechBlog

MARCH 10, 2023

This platform has evolved from supporting studio applications to data science applications, machine-learning applications to discover the assets metadata, and build various data facts. Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case.

Media 243

Media Traffic Processing Design 243

Dynatrace

NOVEMBER 3, 2023

already address SNMP, WMI, SQL databases, and Prometheus technologies, serving the monitoring needs of hundreds of Dynatrace customers. While Python code can address most data acquisition and ingest requirements, it comes at the cost of complexity in implementation and use-case modeling. available, and more are in the pipeline.

Technology 264

Technology Technology Scalability Availability 264

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. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 212

Storage Latency Efficiency Data Engineering 212

DZone

JULY 19, 2021

Many applications are deployed across multiple regions so they can meet customers where they are and/or ensure availability. However, these deployments add significant complexity to database operations and data consistency suffers.

Latency 246

Latency Database Performance Availability 246

Scalegrid

MAY 2, 2019

It comes as no surprise that Python developers commonly leverage MongoDB hosting , the most popular NoSQL database , for their deployments due to its flexible nature and lack of schema requirements. It is also recommended that SSL connections be enabled to encrypt the client-database traffic. Testing Failover Behavior. import pymongo.

Testing 55

Testing Network Database Servers 55

DZone

FEBRUARY 15, 2023

In this article, I’m going to demonstrate how you can migrate a comprehensive web application from MySQL to YugabyteDB using the open-source data migration engine YugabyteDB Voyager. Nowadays, many people migrate their applications from traditional, single-server relational databases to distributed database clusters.

Open Source 298

Open Source Scalability Database Servers 298

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 358

Open Source Java Operating System Programming 358

Scalegrid

JULY 13, 2020

Oracle Database is a commercial, proprietary multi-model database management system produced by Oracle Corporation, and the largest relational database management system (RDBMS) in the world. While Oracle remains the #1 database on the market, its popularity has steadily declined by over 18% since 2013.

Open Source 244

Open Source Tuning C++ Database 244