Dynatrace

APRIL 13, 2023

The massive volumes of log data associated with a breach have made cybersecurity forensics a complicated, costly problem to solve. As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging.

Analytics 190

Analytics Java Infrastructure Cloud 190

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. Establish BizDevOps collaboration by sharing business context with IT in real time.

Analytics 139

Analytics Mobile Airlines Monitoring 139

Dynatrace

JANUARY 31, 2024

Monitoring SAP products can present challenges Monitoring SAP systems can be challenging due to the inherent complexity of using different technologies—such as ABAP, Java, and cloud offerings—and the sheer amount of generated data. SAP HANA server infrastructure monitored with OneAgent.

Java 194

Java Analytics Best Practices Monitoring 194

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

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 176

Metrics Monitoring Database Network 176

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. Easily track the health and performance of database servers with AI support. Enrich database performance KPIs with business analytics. Dynatrace news.

Database 243

Database DevOps Analytics Servers 243

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., Anchored in the primary use case of supporting Google’s YouTube business, what we’re looking at here could well be the future of data processing at Google. Because they had too many data processing systems! ;). VLDB’19. are divided.

Analytics 75

Analytics Latency Cache Google 75

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. Additionally, certain tools require auxiliary services to gather performance data before it can be examined and queried. It then collects performance data using existing database services running on your system.

Monitoring 240

Monitoring Infrastructure Metrics Analytics 240

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency.

Strategy 130

Strategy Monitoring Latency DevOps 130

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.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

JUNE 5, 2023

The F5 BIG-IP Local Traffic Manager (LTM) is an application delivery controller (ADC) that ensures the availability, security, and optimal performance of network traffic flows. Business-critical applications typically rely on F5 for availability and success. It serves as a crucial component between applications and users.

Traffic 200

Traffic Virtualization Metrics Monitoring 200

Dynatrace

DECEMBER 4, 2023

Resource consumption: Observing computational resource availability and saturation, whether deployed in cloud-native environments like Kubernetes or CPU-enabled servers. Data quality and drift: Monitoring the quality and characteristics of training and runtime data to detect significant changes that might impact model accuracy.

Open Source 262

Open Source Latency Metrics Java 262

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

JULY 24, 2023

Teams use this data to identify, analyze, and fix coding errors, UX/UI design, microservices, and other technical issues to improve usability and provide a better digital customer experience. This private, personal information is then typically sent to third-party servers for recording and playback of the individual browsing session.

Analytics 197

Analytics Website Mobile Internet 197

The Netflix TechBlog

MARCH 5, 2019

While our engineering teams have and continue to build solutions to lighten this cognitive load (better guardrails, improved tooling, …), data and its derived products are critical elements to understanding, optimizing and abstracting our infrastructure. In the Reliability space, our data teams focus on two main approaches.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

OCTOBER 23, 2023

Hyper-V plays a vital role in ensuring the reliable operations of data centers that are based on Microsoft platforms. 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. What is Microsoft Hyper-V?

Efficiency 220

Efficiency Virtualization Hardware Performance 220

Dynatrace

JULY 1, 2020

As Dynatrace is an all in one solution, you have multiple options to capture the needed data; you can use Real User Monitoring (RUM) properties , Server-side request attribute , and Log metrics. The multi-dimensional analytics in the screenshot below is an example. Step #2 Capture UTM-parameters in Dynatrace. Thanks, Lucas!

Traffic 264

Traffic Analytics Metrics Servers 264

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . In-Memory Data Grids for Fast-Changing Data. For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . In-Memory Data Grids for Fast-Changing Data. For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache.

Analytics 52

Analytics Airlines Cache Scalability 52

CSS Wizardry

JUNE 30, 2023

TTFB is a good measure of your server response times and general back-end health, and issues here may have knock-on effects later down the line (namely with Largest Contentful Paint). before the app’s key functionality is available, with almost half waiting over 3.5s! This is because some metrics are useful to developers.

Metrics 326

Metrics Google Monitoring Analytics 326

Dynatrace

APRIL 17, 2024

With the availability of Linux on IBM Z and LinuxONE, the IBM Z platform brings a familiar host operating system and sustainability that could yield up to 75% energy reduction compared to x86 servers. It’s also easy to minimize the risk of violating data access policies or regulations by masking sensitive data in logs.

Operating System 211

Operating System Energy Infrastructure Architecture 211

Scalegrid

JANUARY 12, 2024

Key Takeaways A cloud workload encompasses any application or service running on a cloud infrastructure, facilitating tasks ranging from basic functions to advanced data analysis with the help of resources like databases, collaboration tools, and disaster recovery systems.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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

DECEMBER 14, 2023

On an abstract level, whenever you use MongoClient to connect, send, or receive a request, it internally uses predefined timeout options to decide how long the application will wait for an initial connection establishment or the response from the server for your request.

Java 130

Java Network Servers Database 130

Scalegrid

JANUARY 20, 2020

Unlike cloning or replication, this allows you to maintain an active, point-in-time copy of your production data. Unlike a static clone, this data imports on a set schedule so your follower cluster is always in sync with your production cluster. It is not available for our in-memory database offerings like hosting for Redis™*.

Analytics 185

Analytics Storage Database Systems 185

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. Logs represent event data in plain-text, structured or binary format. Traces help find the flow of a request through a distributed system.

Analytics 246

Analytics Infrastructure AWS Operating System 246

High Scalability

FEBRUARY 17, 2021

This is guest post by Sachin Sinha who is passionate about data, analytics and machine learning at scale. Redis Server: 5.07, x86/64. MongoDB server: 4.4.2, BangDB server: 2.0.0, Load stage is to load the data and then run stage we run the test. Author & founder of BangDB. About YCSB. YugabyteDB:2.5.0,

Benchmarking 308

Benchmarking Latency C++ Database 308

Dynatrace

FEBRUARY 16, 2023

Average cloud server idle time exceeds 70%. More importantly, these tools are fundamentally backward-looking, lacking both the time and dimensional granularity required for carbon-emission analytics and optimization insights. The table breaks down emissions by data center, listing your cloud and on-premises instances.

Energy 188

Energy Airlines Analytics Transportation 188

ScaleOut Software

JANUARY 31, 2020

Real-time digital twins offer a compelling new software model for tracking and analyzing telemetry from large numbers of data sources. These query results are then forwarded to a data lake for offline analytics using tools such as Spark and for data visualization.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

Dynatrace

DECEMBER 15, 2022

Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. Computer operations manages the physical location of the servers — cooling, electricity, and backups — and monitors and responds to alerts.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs).

Monitoring 209

Monitoring Social Media IoT Metrics 209

Smashing Magazine

APRIL 16, 2024

Let’s find out how to work with different types of Core Web Vitals data and how monitoring can help you gain a deeper insight into user experiences and help you optimize them. Large preview ) What Are The Different Types Of Core Web Vitals Data? It also doesn’t include any debug data to help you optimize your metrics.

Google 106

Google Monitoring Website Speed 106

Dynatrace

OCTOBER 7, 2020

At the same time, you can now simply flip a switch to begin ingesting observability data from these tools into the Dynatrace platform, all while retaining your investment and increasing the value you get from Dynatrace. Open-source metric sources automatically map to our Smartscape model for AI analytics.

Open Source 258

Open Source Metrics Analytics Tuning 258

SQL Performance

AUGUST 11, 2021

Bucketizing date and time data involves organizing data in groups representing fixed intervals of time for analytical purposes. Often the input is time series data stored in a table where the rows represent measurements taken at regular time intervals. It can be of any of the supported date and time data types.

Azure 139

Azure Code Database Servers 139

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. Unofficial ARM packages are available at [link].

Monitoring 93

Monitoring Metrics Analytics Open Source 93

Dynatrace

NOVEMBER 24, 2021

Would you like to access all your monitoring data on a single platform? Dynatrace has you covered—Dynatrace extensions collect the necessary data and offer improved visibility wherever you need a single platform for IM and APM purposes. All of this convenient visibility is available with just a few clicks. Virtual servers.

Network 216

Network Infrastructure Virtualization Metrics 216

Dynatrace

MARCH 24, 2023

This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles. The configuration file directs the container orchestration tool on how to retrieve container images, how to create a network between containers, and where to store log data or mount storage volumes.

Infrastructure 191

Infrastructure Open Source Operating System Cloud 191