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. Similar to the tutorial extension, we created an extension that performs queries against databases.

Database 290

Database Artificial Intelligence Metrics Monitoring 290

Scalegrid

OCTOBER 18, 2024

Due to its versatility for storing information in both structured and unstructured formats, PostgreSQL is the fourth most used standard in modern database management systems (DBMS) worldwide 1. 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

High Scalability

FEBRUARY 25, 2019

This structure works surprisingly well for many important workloads like database, search, and analytics. The admission window provides a small region for recency bursts to avoid consecutive misses when an item is building up its popularity.

Cache 200

Cache Design Analytics Google 200

Dynatrace

MARCH 29, 2024

Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing. By seamlessly integrating observability, AI-driven insights, and data analytics, organizations can overcome common obstacles such as operational inefficiencies, performance bottlenecks, and scalability concerns.

Google 290

Google Innovation Cloud Analytics 290

Dynatrace

MARCH 29, 2023

Today, Dynatrace is announcing that it has successfully achieved Google Cloud Ready – AlloyDB designation in support of an extended integration to Google Cloud’s AlloyDB for PostgreSQL. AlloyDB is a fully managed, PostgreSQL-compatible database service for highly demanding enterprise database workloads.

Google 246

Google Metrics Cloud Analytics 246

All Things Distributed

JANUARY 18, 2012

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications. Amazon DynamoDB â?? By Werner Vogels on 18 January 2012 07:00 AM.

Scalability 162

Scalability Database Ecommerce Latency 162

All Things Distributed

JUNE 21, 2018

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167

Database AWS Games Latency 167

High Scalability

FEBRUARY 17, 2021

This is guest post by Sachin Sinha who is passionate about data, analytics and machine learning at scale. This article is to simply report the YCSB bench test results in detail for five NoSQL databases namely Redis, MongoDB, Couchbase, Yugabyte and BangDB and compare the result side by side. Author & founder of BangDB. About YCSB.

Benchmarking 308

Benchmarking Latency C++ Database 308

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Dynatrace

SEPTEMBER 5, 2024

Native support for Syslog messages Syslog messages are generated by default in Linux and Unix operating systems, security devices, network devices, and applications such as web servers and databases. Native support for syslog messages extends our infrastructure log support to all Linux/Unix systems and network devices.

Innovation 290

Innovation AWS Analytics Storage 290

Dynatrace

APRIL 10, 2023

Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. Rural lifestyle retail giant Tractor Supply Co. ” Three years ago, Tractor Supply Co.

Cloud 243

Cloud Ecommerce Performance Retail 243

Dynatrace

AUGUST 27, 2020

The latest batch of services cover databases, networks, machine learning and computing. Amazon Database Migration Service. Amazon Quantum Ledger Database (QLDB). AWS IoT Analytics. Ensure high application performance by easily troubleshooting Amazon Neptune graph database. Available Now. Coming Soon. AWS AppSync.

AWS 279

AWS Cloud IoT Database 279

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 Efficiency 260

Dynatrace

SEPTEMBER 30, 2021

The list of AWS certifications below shows there are two main AWS certification types: Core and Specialty, six classified as Core AWS Certifications, and five designated as Specialty AWS Certifications. Data analytics. As of June 2021, Amazon currently offers 11 certifications. Core AWS certifications.

AWS 246

AWS Best Practices Cloud Analytics 246

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. The sheer number of permutations can break traditional databases.

DevOps 246

DevOps Analytics Storage Metrics 246

Dynatrace

JANUARY 31, 2024

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. An erroneous change in the database system leads to a subset of the data being categorized incorrectly. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 272

DevOps Analytics Airlines Metrics 272

All Things Distributed

JULY 14, 2015

I am excited to share with you that today we are expanding DynamoDB with streams, cross-region replication, and database triggers. In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. DynamoDB Cross-region Replication.

Database 158

Database Lambda AWS IoT 158

Dynatrace

MARCH 20, 2024

Identification The identification stage of application security monitoring involves discovering and pinpointing potential security weaknesses within an application’s code, configuration, or design. Enable analytics Visibility sets the stage while analytics help turn data into action.

Monitoring 264

Monitoring Analytics Traffic Best Practices 264

The Netflix TechBlog

JULY 15, 2021

In this post, Kevin talks about his extensive experience in content analytics at Netflix since joining more than 10 years ago. What keeps me engaged and enjoying data engineering is giving super-suits and adrenaline shots to analytics engineers and data scientists. What drew you to Netflix?

Data Engineering 197

Data Engineering Engineering Entertainment Big Data 197

Dynatrace

MARCH 6, 2024

IBM i is designed to integrate seamlessly with legacy and modern applications, allowing businesses to run critical workloads and applications. It also includes various built-in software components for database management, security, and application development. How does the extension work?

Monitoring 264

Monitoring Infrastructure Metrics Operating System 264

DZone

JANUARY 13, 2023

Using some sample data sets, you will learn how designated timestamps work and how to use extended SQL syntax to write queries on time-series data. Introduction Traditionally, SQL has been used for relational databases and data warehouses.

IoT 178

IoT Analytics Database Metrics 178

Dynatrace

JANUARY 31, 2024

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources.

Cache 276

Cache Azure Infrastructure Monitoring 276

The Netflix TechBlog

JANUARY 25, 2023

All data should be also available for offline analytics in Hive/Iceberg. A data model in Marken can be described using schema — just like how we create schemas for database tables etc. The databases we pick should be able to scale horizontally. Besides applications we will have ML algorithm data stored.

Scalability 291

Scalability Latency Media Architecture 291

Dynatrace

NOVEMBER 3, 2023

already address SNMP, WMI, SQL databases, and Prometheus technologies, serving the monitoring needs of hundreds of Dynatrace customers. are technologically very different, Python and JMX extensions designed for Extension Framework 1.0 Reporting and analytics assets out-of-the-box Bundles offered by Extensions 2.0 Extensions 2.0

Technology 264

Technology Technology Scalability Availability 264

Dynatrace

AUGUST 8, 2024

To cope with the risk of cyberattacks, companies should implement robust security measures combining proactive preventive measures such as runtime vulnerability analytics , with comprehensive application and perimeter protection through firewalls, intrusion detection systems, and regular security audits.

Software 290

Software Software Infrastructure Network 290

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. User Experience and Business Analytics ery user journey and maximize business KPIs. From APM to full-stack monitoring.

Artificial Intelligence 254

Artificial Intelligence Social Media Monitoring IoT 254

All Things Distributed

NOVEMBER 15, 2016

Finally, their complex user experiences are designed for power users and not suitable for the fast-growing segment of business users. SPICE sits between the user interface and the data source and can rapidly ingest all or part of the data into its fast, in-memory, columnar-based data store that’s optimized for analytical queries.

Analytics 126

Analytics Availability Media Social Media 126

Dynatrace

MARCH 22, 2023

Insecure design This broad category refers to fundamental design flaws in the application caused by a failure to implement necessary security controls during the design stage. Use a safe development life cycle with secure design patterns and components. Apply threat modeling and plausibility checks.

Open Source 246

Open Source Artificial Intelligence Internet Internet 246

Percona

MARCH 30, 2023

The use of open source databases has increased steadily in recent years. Past trepidation — about perceived vulnerabilities and performance issues — has faded as decision makers realize what an “open source database” really is and what it offers. What is an open source database?

Open Source 107

Open Source Database Storage Scalability 107

All Things Distributed

AUGUST 18, 2011

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. Hadoop is quickly becoming the preferred tool for this type of large scale data analytics.

Big Data 94

Big Data Analytics AWS Cloud 94

Dynatrace

JULY 3, 2019

In some instances, however, bad user experience stems from usability issues in product design or development. For instance, if a problem is caused by incorrect data returned by the server, Dynatrace full-stack insights can be used to follow the problem through the entire stack down to the single line of code or database statement.

Analytics 176

Analytics Tuning Mobile Monitoring 176

Dynatrace

MAY 23, 2022

As developers move to microservice-centric designs, components are broken into independent services to be developed, deployed, and maintained separately. IDC predicted, by 2022, 90% of all applications will feature microservices architectures that improve the ability to design, debug, update, and use third-party code.

Architecture 263

Architecture DevOps Monitoring Programming 263

Scalegrid

FEBRUARY 11, 2025

Choosing the right database often comes down to MongoDB vs MySQL. Whether you need a relational database for complex transactions or a NoSQL database for flexible data storage, weve got you covered. Data modeling is a critical skill for developers to manage and analyze data within these database systems effectively.

Scalability 147

Scalability Database Storage IoT 147

Dynatrace

SEPTEMBER 20, 2019

Welcome back to the blog series in which we show how you can easily solve three common problem scenarios by using Dynatrace and xMatters Flow Designer. Both use the same database back-end and app configuration. Step 5 — xMatters Slackbot pulls the on-call database. xMatters Slackbot pulls the on-call database.

Systems 38

Systems Traffic DevOps Database 38

Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. These services are tailored to meet various business requirements.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

OCTOBER 2, 2024

provision new Dynatrace users with relevant queries share timeframe-specific and pre-filtered views in a support case See more with less During the preview release of the Logs app, many customers provided us with valuable feedback that we incorporated into the design of the app. share situation or incident-specific views across teams.

Azure 244

Azure DevOps Infrastructure Cloud 244

The Netflix TechBlog

DECEMBER 3, 2022

It’s designed to run for a single date, and meant to be called from the daily or backfill workflows. See example below: - template: id: wap type: wap tables: - ${CATALOG}/${DATABASE}/${TABLE} write_jobs: - job: id: write type: Spark spark: script: $S3{./src/sparksql_write.sql} test_sparksql_write.py

Best Practices 361

Best Practices Code Testing Data Engineering 361