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

Dynatrace

MARCH 6, 2024

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. Gaining knowledge about IBM i performance can be a challenging and pricey task. How does the extension work?

Monitoring 234

Monitoring Infrastructure Metrics Analytics 234

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 181

Infrastructure Metrics Network Monitoring 181

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

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

Dynatrace

OCTOBER 23, 2023

Firstly, managing virtual networks can be complex as networking in a virtual environment differs significantly from traditional networking. This spans from the end user’s experience down to the performance of underlying database queries, and from the application code down to the hardware resources it utilizes.

Efficiency 214

Efficiency Virtualization Hardware Performance 214

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. MongoDB drivers provide several options for Mongo clients to handle different network timeout errors that may occur during usage.

Java 130

Java Network Servers Database 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. These services are tailored to meet various business requirements.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

JANUARY 31, 2024

Figure 2: Discovery findings The Recommendation column shows quick actions that teams can take, such as activating extensions to monitor discovered services (including databases, message queues, and other technologies) or quickly changing the monitoring mode for a group of hosts.

Analytics 173

Analytics Infrastructure Monitoring Cloud 173

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. What is workload in cloud computing? The environments, which were previously isolated, are now working seamlessly under central control.

Cloud 130

Cloud Virtualization Storage Efficiency 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

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. Some of the keys of understanding the user network are listed below. System Components.

Design 334

Design Media Storage Logistics 334

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

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 269

AWS Cloud IoT Database 269

Scalegrid

MARCH 14, 2024

When delving into the networking aspect of a hybrid cloud deployment, complexities arise due to the requirement of linking or expanding existing on-premises network architectures into the cloud sphere. Ready to take your database management to the next level with ScaleGrid’s cutting-edge solutions?

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

MARCH 28, 2024

Advanced Redis Features Showdown Big data center concept, cloud database, server power station of the future. Redis’s support for pipelining in a Redis server can significantly reduce network latency by batching command executions, making it beneficial for write-heavy applications. Redis Database Management with ScaleGrid ScaleGrid.io

Cache 130

Cache Storage Scalability Architecture 130

DZone

JULY 6, 2020

TiDB is an open-source, distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. There shouldn't be any jitters (either in the cluster or on disk), and no hotspots, slow queries, or network fluctuations. Ideally, a TiDB cluster should always be efficient and problem-free.

Open Source 130

Open Source Latency Traffic Analytics 130

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? That depends on your goals.

AWS 209

AWS Best Practices Analytics Cloud 209

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. This allows us to quickly tell whether the network link may be saturated or the processor is running at its limit.

Metrics 171

Metrics Monitoring Database Network 171

Scalegrid

JANUARY 11, 2024

Sophisticated monitoring solutions like Exabeam Fusion SIEM and Fusion XDR provide thorough analysis, behavioral analytics, and automated features to improve the identification of advanced attacks and insider threats. Companies like Palo Alto Networks Cloud Security, Fortinet Cloud, and Trend Micro.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

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

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. A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance.

Performance 107

Performance Monitoring Traffic Database 107

Dynatrace

FEBRUARY 15, 2023

App developers have the same limitless possibilities for creating customized analytics and integrations in any IT environment, whether in the cloud or on-premises. It empowers Dynatrace customers to use the same tools and technologies as Dynatrace engineers to develop new tailored apps.

Government 164

Government Serverless Analytics Metrics 164

Dynatrace

JUNE 1, 2020

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications – including your customers and employees. User Experience and Business Analytics ery user journey and maximize business KPIs.

Artificial Intelligence 182

Artificial Intelligence Social Media Monitoring IoT 182

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

JULY 6, 2020

In addition to providing visibility for core Azure services like virtual machines, load balancers, databases, and application services, we’re happy to announce support for the following 10 new Azure services, with many more to come soon: Virtual Machines (classic ones). Azure Virtual Network Gateways. Azure Batch.

Azure 147

Azure Cloud Big Data Virtualization 147

Dynatrace

JUNE 1, 2020

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course end-users that access these applications – including your customers and employees. User Experience and Business Analytics ery user journey and maximize business KPIs. Performance monitoring.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

Dynatrace

SEPTEMBER 29, 2021

Networking. An orchestration platform has various mechanisms built in to prevent vulnerabilities such as secure container deployment pipelines, encrypted network traffic, secret stores and more. The “scheduler” determines the placement of new containers so compute resources are used most efficiently.

Open Source 301

Open Source Traffic DevOps Cloud 301

Percona

JANUARY 14, 2019

What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. This information can be a mix of analytical (OLAP) queries (i.e. So can we use it as our main datastore?

Database 40

Database Analytics Blockchain Healthcare 40

Dotcom-Montior

NOVEMBER 24, 2021

There was a time when standing up a website or application was simple and straightforward and not the complex networks they are today. Do you have a database? Was the database running? The last item to check was if the web server was able to talk to the database? The recipe was straightforward. Do you have a web server?

Systems 74

Systems Monitoring Hardware Network 74

Scalegrid

JANUARY 3, 2020

Monitoring your MySQL database performance in real-time helps you immediately identify problems and other factors that could be causing issues now or in the future. It’s also a good way to determine which components of the database can be enhanced or optimized to increase your efficiency and performance.

Monitoring 164

Monitoring Metrics Servers Database 164

Dynatrace

AUGUST 28, 2020

Azure Data Lake Analytics. Azure Network Interface. Manual tasks like shutting down virtual machines in bulk or creating database backups can be error prone. We’re happy to announce that now you can gain cloud monitoring excellence with Dynatrace for 15 additional Azure services, including: Azure Automation Account.

Azure 155

Azure Cloud Tuning Monitoring 155

CSS Wizardry

NOVEMBER 3, 2020

Historically, I’d maybe look at Google Analytics—or a RUM solution if the client had one already—but this is only useful for showing me particular outliers, and not necessarily any patterns across the whole project. against many other metrics as other milestones (except CLS) are network-bound and TBT is CPU-bound. See entry 6.

Speed 292

Speed Ecommerce Metrics Analytics 292

Dynatrace

JUNE 1, 2021

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications — including a company’s customers and employees. User experience and business analytics. What does APM stand for?

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

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. References. Vander-Zaden, H.M. Durand and P.

Analytics 191

Analytics Traffic Big Data Efficiency 191

ScaleOut Software

NOVEMBER 24, 2020

It sends messages over the cell network to the telematics system, which uses its compute servers (that is, web and application servers) to store incoming messages as snapshots in an in-memory data grid , also known as a distributed cache. This enables them to answer questions such as: “Where is truck 7563?

Analytics 52

Analytics Architecture Scalability Software Architecture 52