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 269

Database Artificial Intelligence Metrics Monitoring 269

DZone

OCTOBER 1, 2023

Elasticsearch is an open-source search engine and analytics store used by a variety of applications from search in e-commerce stores, to internal log management tools using the ELK stack (short for “Elasticsearch, Logstash, Kibana”).

Open Source 247

Open Source Tuning Analytics Scalability 247

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 261

Google Innovation Cloud Analytics 261

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 199

Infrastructure Database Monitoring Metrics 199

Dynatrace

DECEMBER 18, 2020

There are no hosts, no backend, no database – just HTML, CSS, and JavaScript. Side note: it’s called “agentless,” because no OneAgent is running on the server that hosts the HTML, CSS, and JavaScript files. Now we have performance and errors all covered: Business Analytics. Dashboard Powerups. How can I segment them?

Analytics 136

Analytics Metrics IoT Monitoring 136

DZone

MAY 19, 2023

Examples of logs include business logs (such as user activity logs) and Operation and Maintenance logs of servers, databases, and network or IoT devices. Logs often take up the majority of a company's data assets. Logs are the guardian angel of business.

IoT 130

IoT Analytics Network Database 130

Dynatrace

JANUARY 31, 2024

With PowerConnect, collecting data from SAP systems and fueling the Dynatrace platform, Dynatrace automatically uncovers the topology model of the SAP landscape, providing a clear and comprehensive view of the relationships and dependencies among different systems, servers, databases, applications, and interfaces.

Java 188

Java Analytics Best Practices Monitoring 188

DZone

SEPTEMBER 26, 2023

Since you need to access multiple components (servers, databases, network infrastructure, applications, etc.) We'll talk about best practices and habits and use some of the Log Analytics tools from Sumo Logic as examples. Let’s blast off and turn that cosmic trash into treasure!

Best Practices 249

Best Practices Analytics Infrastructure Network 249

Dynatrace

FEBRUARY 9, 2021

As an application owner, product manager, or marketer, however, you might use analytics tools like Adobe Analytics to understand user behavior, user segmentation, and strategic business metrics such as revenue, orders, and conversion goals. Selecting one automatically fills out all fields. Enable the storage types, select Add property.

Analytics 138

Analytics Mobile Airlines Monitoring 138

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

MARCH 6, 2024

IBM i, formerly known as iSeries, is an operating system developed by IBM for its line of IBM i Power Systems servers. It also includes various built-in software components for database management, security, and application development. It then collects performance data using existing database services running on your system.

Monitoring 234

Monitoring Infrastructure Metrics Analytics 234

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. These storage nodes collaborate to manage and disseminate the data across numerous servers spanning multiple data centers.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

DECEMBER 21, 2023

Redis® Monitoring Essentials Ensuring the performance, reliability, and safety of a Redis® database requires active monitoring. With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130

Scalegrid

DECEMBER 14, 2023

How the MongoDB timeout is set up can significantly affect your application’s performance, no matter if you are an experienced MongoDB user or just starting with NoSQL databases. Typical applications are interacting with different database servers based on the business logic.

Java 130

Java Network Servers Database 130

Scalegrid

MARCH 28, 2024

Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. Redis Revealed: An Overview Redis, a renowned open-source, in-memory remote dictionary server, stands out for its diverse data structures and advanced features. Data transfer technology.

Cache 130

Cache Storage Scalability Architecture 130

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? To understand why we need real-time digital twins for streaming analytics, we first need to look at what problems are tackled by popular streaming platforms.

Analytics 69

Analytics Azure Processing Speed 69

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. It is not available for our in-memory database offerings like hosting for Redis™*. Database Dev/Test Setup. Data Analytics. This is not something you can do on a replica node. The best part?

Analytics 185

Analytics Storage Database Systems 185

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. Redis Server: 5.07, x86/64.

Benchmarking 308

Benchmarking Latency C++ Database 308

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. These include popular technologies such as web servers and web applications, along with advanced solutions like distributed data stores and containerized microservices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

NOVEMBER 3, 2023

already address SNMP, WMI, SQL databases, and Prometheus technologies, serving the monitoring needs of hundreds of Dynatrace customers. address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0: Reporting and analytics assets out-of-the-box Bundles offered by Extensions 2.0

Technology 246

Technology Technology Scalability Availability 246

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

MAY 27, 2022

At Dynatrace Perform 2022 , David Walker, a Lockheed Martin Fellow, and William Swofford, a full-stack engineer at Lockheed Martin, discuss how to create a self-diagnosing and self-healing IT server environment using this AIOps combination for auto-baselining, auto-remediation, monitoring as code, and more. An example of the self-healing web.

Artificial Intelligence 186

Artificial Intelligence Innovation Servers Database 186

Scalegrid

JUNE 6, 2019

June 6, 2019 – ScaleGrid , the Database-as-a-Service (DBaaS) leader in the SQL and NoSQL space, has announced the expansion of their fully managed MySQL Hosting services to support Amazon Web Services (AWS) cloud. PALO ALTO, Calif.,

AWS 191

AWS Cloud Open Source Virtualization 191

Dynatrace

OCTOBER 23, 2023

Determining the root cause of these issues can be difficult when the underlying “hardware” is a virtualization software stack rather than a bare-metal server. This presents a challenge for IT operations teams, specifically in identifying and addressing performance issues or planning how to prevent future issues.

Efficiency 213

Efficiency Virtualization Hardware Performance 213

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. PMM monitors the MySQL uptime: show global status like 'uptime'; Indicates the amount of time (seconds) the MySQL server has been running since the last restart.

Performance 103

Performance Monitoring Traffic Database 103

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

Percona

DECEMBER 6, 2023

The PMM Dump performs a logical backup of the performance metrics collected by the PMM Server and imports them into a different PMM Server instance. PMM Dump allows you to share monitoring data collected by your PMM server securely with the Percona Support team. It will not collect query analytics data by default.

Monitoring 94

Monitoring Metrics Analytics Open Source 94

High Scalability

APRIL 3, 2019

PostgreSQL is an open source object-relational database system that has soared in popularity over the past 30 years from its active, loyal, and growing community. For the 2nd year in a row, PostgreSQL has kept the title of #1 fastest growing database in the world according to the DBMS of the Year report by the experts at DB-Engines.

Database 177

Database Cloud Open Source Systems 177

Percona

JUNE 23, 2023

Both MySQL and PostgreSQL do the basics very well From a high level, one relational database management system is pretty much like every other relational database management system. It does not follow the SQL Standard as closely as other databases, and some useful functions such as MERGE() are missing.

Database 118

Database Transportation Servers Cloud 118

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. million AI server units annually by 2027, consuming 75.4+

Cache 204

Cache Azure Infrastructure Monitoring 204

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., ” For just the YouTube Analytics application, we’re looking at metrics like this, with a 99%-ile latency of 412ms: Embedded statistics use cases include the various counters such as views, likes, and subscriptions that are included in pages.

Analytics 75

Analytics Latency Cache Google 75

Dynatrace

MAY 13, 2021

Dynatrace allows you to unify tracing analytics across teams and hybrid-clouds, provides robust enterprise-scale and secure trace capture and processing, and Davis AI based answers across traces, metrics, logs, behavioral information and more. The world service uses the custom web server? Server-side service monitoring? >?

Java 156

Java Analytics Metrics Database 156

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 52

Analytics Social Media Serverless Cloud 52

Dynatrace

MARCH 22, 2023

This method involves providing the lowest level of access by default, deleting inactive accounts, and auditing server activity. For example, ensuring software stacks don’t use default accounts or passwords, error handling doesn’t reveal sensitive information, and application server frameworks use secure settings.

Open Source 197

Open Source Artificial Intelligence Internet Internet 197

Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Multiple Prometheus servers might be required, creating significant maintenance efforts. Dynatrace news. Many technologies expose their metrics in the Prometheus data format.

Technology 217

Technology Technology Metrics Infrastructure 217

Dynatrace

MAY 17, 2023

The next level of observability: OneAgent In the first two parts of our series, we used OpenTelemetry to manually instrument our application and send the telemetry data straight to the Dynatrace analytics back end. Let’s click “Apache Web Server apache” now. And that’s where Dynatrace OneAgent comes in.

Metrics 171

Metrics Database Monitoring Network 171

Percona

JANUARY 3, 2024

A couple of weeks ago, we announced the first GA release of the PMM Dump : a new support tool that dumps Percona Monitoring and Management (PMM) metrics and Query Analytics (QAN) data to transfer to the expert engineer for review and performance suggestions. PMM Dump is included in PMM server distribution, and you can try it straight away.

Monitoring 88

Monitoring Open Source Database Servers 88