Dynatrace

AUGUST 9, 2023

In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts. Procedures describe the specific technical details that an adversary used to carry out an attack, for example, what script they ran to exploit a weakness.

Analytics 201

Analytics AWS Strategy Infrastructure 201

Dynatrace

OCTOBER 4, 2022

For example, users generate user data, ecommerce sites generate business data, and service portals generate service desk tickets and call volume data. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. The next frontier: Data and analytics-centric software intelligence.

Analytics 196

Analytics Software Software Storage 196

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says. This unified approach enables Grail to vault past the limitations of traditional databases.

Analytics 191

Analytics Innovation Metrics Database 191

Dynatrace

JANUARY 11, 2023

To stay competitive in an increasingly digital landscape, organizations seek easier access to business analytics data from IT to make better business decisions faster. Five constraints that limit insights from business analytics data. Digital businesses rely on real-time business analytics data to make agile decisions.

Analytics 194

Analytics Strategy Storage Technology 194

Dynatrace

JULY 29, 2022

What is log analytics? 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. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 186

Analytics Storage Retail Monitoring 186

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 274

Database Artificial Intelligence Metrics Monitoring 274

Dynatrace

AUGUST 10, 2023

Extend business observability to data at rest In our past blog post about business agility, we looked at a retail sales use case example to investigate potential causes of underperforming store locations. In both examples, we used Dynatrace OneAgent® deep payload inspection to capture business data in motion.

Database 130

Database Metrics Retail Analytics 130

Dynatrace

NOVEMBER 18, 2021

Starting with user interactions, PurePath technology automatically collects all code execution details, executed database statements, critical transaction-based metrics, and topology information end-to-end. This provides a holistic view, advanced analytics, and AI-powered answers for cloud optimization and troubleshooting.

Analytics 229

Analytics Cloud Java Serverless 229

Dynatrace

FEBRUARY 9, 2021

How do I connect the dots between mobile analytics and performance monitoring? Connect the dots between mobile analytics and performance monitoring with mobile business analytics. Connect the dots between mobile analytics and performance monitoring with mobile business analytics.

Analytics 211

Analytics Mobile Performance Monitoring 211

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 206

Infrastructure Database Monitoring Metrics 206

Dynatrace

OCTOBER 7, 2020

Seamlessly report and be alerted on non-topology-related custom metrics, using Dynatrace as a metric database. Topology metrics are related to specific entities in your Smartscape topology (for example, the number of successful and failed batch jobs processed by a host). Topology and non-topology metrics—what’s the difference?

Metrics 246

Metrics Analytics Storage Monitoring 246

Dynatrace

FEBRUARY 1, 2024

But organizations must also be aware of the pitfalls of AI: security and compliance risks, biases, misinformation, and lack of insight into critical metrics (including availability, code development, infrastructure, databases, and more). In this example, there is a suspicious increase in scripting events.

Artificial Intelligence 191

Artificial Intelligence Analytics Efficiency Database 191

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. In the screenshot below you can see an example of such a request attribute.

Analytics 139

Analytics Mobile Airlines Monitoring 139

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

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

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 73

Open Source Database Storage Scalability 73

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

Dynatrace

JANUARY 31, 2024

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. Davis AI, Grail, and data observability By grouping common data observability issues into industry-standard pillars, we can provide tangible examples and showcase current capabilities.

DevOps 198

DevOps Analytics Airlines Metrics 198

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

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

Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. ” In many cases, indexed databases only provide access to a sample of statistical data summaries.

Analytics 193

Analytics Infrastructure Storage Efficiency 193

Dynatrace

JANUARY 31, 2024

For example, a Stanford University and UC Berkeley team noted in a research study that ChatGPT behavior deteriorates over time. Using the example of a chatbot, once the user submits a natural language prompt, RAG summarizes that prompt using semantic data. Consequently, AI model drift and hallucinations emerge as primary concerns.

Cache 209

Cache Azure Infrastructure Monitoring 209

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

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. Examples include associations with Google Docs, Facebook chat group interactions, streaming live forex market feeds, and managing trading notices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

The Netflix TechBlog

JANUARY 25, 2023

For example, we have a service that stores a movie entity’s metadata or a service that stores metadata about images. In Pic 1 below, we have an example of an application which is used by editors to review their work. All data should be also available for offline analytics in Hive/Iceberg.

Scalability 283

Scalability Latency Media Architecture 283

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

Dynatrace

FEBRUARY 1, 2024

Any problem, such as a simple software update overburdening a critical database, can cause a ripple effect that degrades the performance of dependent services or applications. For example, an unnoticed database strain could slow down the response time of a web frontend, resulting in poor user experience.

Infrastructure 186

Infrastructure Metrics Network Monitoring 186

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

FEBRUARY 8, 2024

At its core, a distributed storage system comprises three main components: a controller for managing the system’s operations, an internal datastore where information is held, and databases geared towards ensuring scalability, partitioning capabilities, and high availability for all types of data.

Storage 130

Storage Systems Big Data Azure 130

High Scalability

JANUARY 11, 2022

We will use a graph database such as Neo4j to store the information. Additionally, we can use columnar databases like Cassandra to store information like user feeds, activities, and counters. Sample Queries supported by Graph Database. System Components. Component Design. Posting on Instagram. API Design. Data Models.

Design 334

Design Media Storage Logistics 334

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. Careful consideration must be given before making changes.

Java 130

Java Network Servers Database 130

Dynatrace

AUGUST 28, 2023

Business events from any data source Order fulfillment process example Retail order fulfillment is a good example of business process monitoring, a use case enabled by these innovations. Fulfillment processes vary between retailers, with subprocesses that might introduce branches and loops.

Retail 208

Retail Logistics Innovation Analytics 208

Dynatrace

SEPTEMBER 30, 2021

AWS Certified Database – Specialty: Database specialists with deep knowledge of relational and non-relational databases and some AWS experience might want to check out this certification. Data analytics. The top AWS certification options. So, what are the best AWS certifications? Machine learning.

AWS 215

AWS Best Practices Analytics Cloud 215

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

FEBRUARY 12, 2024

Using Dynatrace, teams can directly access their synthetic monitors and drill down into locations where, for example, execution failed because of local or global outages. It provides a cross-cloud overview of cloud services, their instances, and health, enabling cloud resource usage analysis and optimization with analytics notebooks.

Engineering 187

Engineering Development Infrastructure Cloud 187

HammerDB

JULY 14, 2021

However, as the two databases diverged from a shared common codebase, this presented a challenge in that it was not possible to modify the workload for MySQL or MariaDB without also changing the other. Checking database library for MariaDB Error: failed to load mariatcl - couldn't load file "/home/HammerDB-4.2/lib/mariatcl0.1/libmariatcl0.1.so":

Testing 57

Testing C++ Virtualization Tuning 57

The Netflix TechBlog

JULY 26, 2021

The paradigm spans across methods, tools, and technologies and is usually defined in contrast to analytical reporting and predictive modeling which are more strategic (vs. In the initial stage, data consumers set up ETL pipelines directly pulling data from databases. See example below. tactical) in nature.

Big Data 253

Big Data Government Analytics Processing 253