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. Key among these trends is the emphasis on security and intelligent analytics.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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. Here are a few critical ways in which it differs from replication: You can control how frequently the destination system syncs from source – once a week, once a day, or even less frequently. Reporting.

Analytics 185

Analytics Storage Database Systems 185

Dynatrace

OCTOBER 23, 2023

Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems. It enables multiple operating systems to run simultaneously on the same physical hardware and integrates closely with Windows-hosted services. This leads to a more efficient and streamlined experience for users.

Efficiency 213

Efficiency Virtualization Hardware Performance 213

Dynatrace

JULY 1, 2020

These are all interesting metrics from marketing point of view, and also highly interesting to you as they allow you to engage with the teams that are driving the traffic against your IT-system. 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

Dynatrace

DECEMBER 4, 2023

By using OpenLLMetry and Dynatrace, anyone can get complete visibility into their system, including gen-AI parts with 5 minutes of work.” Resource consumption: Observing computational resource availability and saturation, whether deployed in cloud-native environments like Kubernetes or CPU-enabled servers.

Open Source 257

Open Source Latency Metrics Java 257

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

Dynatrace

APRIL 13, 2023

Log auditing is a cybersecurity practice that involves examining logs generated by various applications, computer systems, and network devices to identify and analyze security-related events. It requires an understanding of cloud architecture and distributed systems, with the goal of automating processes. Were there attack attempts?

Analytics 184

Analytics Java Infrastructure Cloud 184

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 201

Artificial Intelligence DevOps Hardware Virtualization 201

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 connects straight to the Prometheus exporters on your systems. Dynatrace news.

Technology 216

Technology Technology Metrics Infrastructure 216

Dynatrace

APRIL 25, 2023

Observability is essential to ensure the reliability, security and quality of any software system. However, serverless applications have unique characteristics that make observability more difficult than in traditional server-based applications. In this blog post, we will discuss some of these challenges and how to overcome them.

Serverless 206

Serverless Lambda Azure AWS 206

The Morning Paper

JUNE 6, 2019

Towards federated learning at scale: system design Bonawitz et al., This is a high level paper describing Google’s production system for federated learning. The FL system contains a number of privacy-enhancing building blocks, but the privacy guarantees of any end-to-end system will always depend on how they are used.

Systems 71

Systems Design Google Servers 71

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

MAY 27, 2022

As a result, many IT teams are turning to artificial intelligence for IT operations (AIOps) , which integrates AI into operations to automate systems across the development lifecycle. An IT organization is often unaware a critical server has gone down until a user reports it. An example of the self-healing web.

Artificial Intelligence 186

Artificial Intelligence Innovation Servers Database 186

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. However, simply deploying a monitoring tool is not enough; you need to know which Key Performance Indicators (KPIs) to monitor to gain insights into your MySQL server’s health and performance.

Performance 105

Performance Monitoring Traffic Database 105

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. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

MARCH 24, 2023

Containers enable developers to package microservices or applications with the libraries, configuration files, and dependencies needed to run on any infrastructure, regardless of the target system environment. This means organizations are increasingly using Kubernetes not just for running applications, but also as an operating system.

Infrastructure 185

Infrastructure Open Source Operating System Cloud 185

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. StatsD is a widely adopted metric protocol for collecting, aggregating, and sending developer-defined application metrics to separate systems for graphical analysis. Davis AI analyzes your StatsD metrics. Stay tuned. Seeing is believing.

Open Source 254

Open Source Metrics Analytics Tuning 254

Dynatrace

APRIL 26, 2022

Collected telemetry data may include the type of device being used (cellphone, tablet, smart watch), geographical location, server response time, performance, and security. PC, smartphone, server) or virtual (virtual machines, cloud gateways). Endpoints can be physical (i.e.,

Monitoring 202

Monitoring Social Media IoT Metrics 202

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. No agent installation is required on your SAP server.

Infrastructure 199

Infrastructure Database Monitoring Metrics 199

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

SQL Performance

APRIL 17, 2020

Ultimately, tables are stored as a sequence of bytes with some metadata elsewhere in the system to describe what each of those bytes mean, and how they relate to each of the table's various columns. It requires only a few changes to system tables, and a minimal amount of logging. Improvements in SQL Server 2016.

Servers 63

Servers Database Testing Efficiency 63

Dynatrace

JANUARY 31, 2024

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. Dynatrace provides end-to-end observability of AI applications As AI systems grow in complexity, a holistic approach to the observability of AI-powered applications becomes even more crucial.

Cache 204

Cache Azure Infrastructure Monitoring 204

Scalegrid

JUNE 6, 2019

The platform allows MySQL AWS administrators to automate their time-consuming database operations in the cloud and improve their performance with high availability, disaster recovery, polyglot persistence, and advanced monitoring and analytics.

AWS 191

AWS Cloud Open Source Virtualization 191

Dynatrace

MAY 17, 2023

Anyone who’s concerned with developing, delivering, and operating software knows the importance of making software and the systems it runs on observable. When software runs in a monolithic stack on on-site servers, observability is manageable enough. Why should I adopt observability?

Metrics 179

Metrics Open Source Traffic Cache 179

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. In another survey, using multiple metrics for overall popularity, PostgreSQL ranks as the fourth most popular database management system ( DB-Engines, March 2023 ). PostgreSQL is open source relational database management software.

Open Source 80

Open Source Healthcare Social Media Database 80

Scalegrid

JANUARY 11, 2024

Key Takeaways Cloud security monitoring is a comprehensive approach involving both manual and automated processes to oversee servers, applications, platforms, and websites, using tools that are customized to fit unique cloud architectures. This includes servers, applications, software platforms, and websites.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

All Things Distributed

AUGUST 18, 2011

Werner Vogels weblog on building scalable and robust distributed systems. 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.

Big Data 111

Big Data Analytics AWS Cloud 111

High Scalability

JANUARY 11, 2022

When the server receives a request for an action (post, like etc.) The streaming data store makes the system extensible to support other use-cases (e.g. System Components. The system will comprise of several micro-services each performing a separate task. High Level Design. Architecture. Streaming Data Model.

Design 334

Design Media Storage Logistics 334

Percona

MARCH 17, 2023

Planning for resources of a PMM Server host instance can be tricky because the numbers can change depending on the DB instances being monitored by PMM. Average datapoints size We recommended having at least two GB RAM and a two-core system for PMM Server as a bare minimum requirement to set up monitoring your database services.

Monitoring 100

Monitoring Scalability Cache Database 100

Dynatrace

OCTOBER 4, 2022

Organizations need to unify all this observability, business, and security data based on context and generate real-time insights to inform actions taken by automation systems, as well as business, development, operations, and security teams. The next frontier: Data and analytics-centric software intelligence. Event severity.

Analytics 190

Analytics Software Software Storage 190

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. Window Functions are great for analytics, but is that something you are going to use? The server, client, connectors, etc.,

Database 121

Database Transportation Servers Cloud 121

The Netflix TechBlog

MARCH 5, 2019

This operational component places some cognitive load on our engineers, requiring them to develop deep understanding of telemetry and alerting systems, capacity provisioning process, security and reliability best practices, and a vast amount of informal knowledge about the cloud infrastructure.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Percona

JUNE 4, 2023

In this blog, we’ll provide a comparison between MariaDB vs. MySQL (including Percona Server for MySQL ). Introduction: MariaDB vs. MySQL The goal of this blog post is to evaluate, at a higher level, MariaDB vs. MySQL vs. Percona Server for MySQL side-by-side to better inform the decision making process. What is MariaDB?

Open Source 52

Open Source Servers Storage Scalability 52

High Scalability

FEBRUARY 19, 2019

Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. Learn what has changed in the analytics landscape and how to avoid the major pitfalls which can hinder your organization from growth. View and analyze all your logs and system metrics from multiple sources in one place.

Software 125

Software Software Analytics Infrastructure 125

High Scalability

MARCH 19, 2019

Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. Learn what has changed in the analytics landscape and how to avoid the major pitfalls which can hinder your organization from growth. View and analyze all your logs and system metrics from multiple sources in one place.

Software 122

Software Software Analytics Infrastructure 122

ACM Sigarch

MARCH 25, 2019

Previously, Part 1 of these two blog posts provided our thesis that analytic models can complement measurement and simulations to give quick insight, show what is not possible, provide a double-check, and suggest future directions. Figure 2 plots the M/M/1 queue’s latency-throughput trade-off.

Systems 53

Systems Latency Performance C++ 53

ScaleOut Software

NOVEMBER 24, 2020

Real-Time Digital Twins Can Add Important New Capabilities to Telematics Systems and Eliminate Scalability Bottlenecks. The volume of incoming telemetry challenges current telematics systems to keep up and quickly make sense of all the data. Current Telematics Architecture. ” “How long has the driver been on the road?”

Analytics 52

Analytics Architecture Scalability Software Architecture 52