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. Enable the storage types, select Add property.

Analytics 137

Analytics Mobile Airlines Monitoring 137

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. 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

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

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. How does container orchestration work? And organizations use Kubernetes to run on an increasing array of workloads.

Infrastructure 179

Infrastructure Open Source Operating System Cloud 179

Dynatrace

DECEMBER 15, 2022

ITOps is an IT discipline involving actions and decisions made by the operations team responsible for an organization’s IT infrastructure. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. What does IT operations do?

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

Scalegrid

DECEMBER 6, 2023

In the digital age, data management has transformed from locally hosted servers to cloud solutions. ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes.

Database 130

Database Cloud Hardware Storage 130

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. Reduce alert noise and accelerate your mean time to repair (MTTR) for infrastructure incidents.

Technology 210

Technology Technology Metrics Infrastructure 210

Scalegrid

JANUARY 20, 2020

Note: ScaleGrid implements follower clusters using storage snapshots. And since the entire import is performed using storage snapshots, rather than a logical dump, the process is nearly instantaneous. Data Analytics. This helps save massively on infrastructure costs. This is not something you can do on a replica node.

Analytics 185

Analytics Storage Database Systems 185

Dynatrace

AUGUST 24, 2020

But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes. Dynatrace AWS monitoring gives you an overview of the resources that are used in your AWS infrastructure along with their historical usage. Monitoring your i nfrastructure.

Analytics 234

Analytics Infrastructure AWS Operating System 234

Scalegrid

DECEMBER 21, 2023

Such as: RedisInsight – Offers an easy way for users to oversee their Redis® information with visual cues; Prometheus – Providing long-term metrics storage solutions when tracking performance trends involving your instances; Grafana – Its user-friendly interface allows advanced capabilities in observing each instance.

Strategy 130

Strategy Monitoring Latency DevOps 130

High Scalability

JANUARY 11, 2022

When the server receives a request for an action (post, like etc.) FUN FACT : In this talk , Rodrigo Schmidt, director of engineering at Instagram talks about the different challenges they have faced in scaling the data infrastructure at Instagram. High Level Design. Architecture. System Components. Fetching User Feed.

Design 334

Design Media Storage Logistics 334

Dynatrace

DECEMBER 15, 2022

As with all other log ingestion configurations, these examples work seamlessly with the new Log Management and Analytics powered by Grail that provides answers with any analysis at any time. Typically, these are streamed to a central syslog server. Log ingestion strategy no. 1: Welcome syslog, with the help of Fluentd.

Strategy 174

Strategy AWS Open Source Transportation 174

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., Typically, organizations build specialized infrastructure for each of these use cases. This, however, creates silos of data and processing, and results in a complex, expensive, and harder to maintain infrastructure. VLDB’19. are divided.

Analytics 75

Analytics Latency Cache Google 75

Dynatrace

APRIL 26, 2022

Gartner estimates that by 2025, 70% of digital business initiatives will require infrastructure and operations (I&O) leaders to include digital experience metrics in their business reporting. With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings.

Monitoring 196

Monitoring Social Media IoT Metrics 196

Dynatrace

AUGUST 24, 2020

But there are other related components and processes ( for example, cloud provider infrastructure ) that can cause problems in applications running on Kubernetes. Dynatrace AWS m onitoring gives you an overview of the resources that are used in your AWS infrastructure along with their historical usage.

Analytics 134

Analytics Infrastructure AWS Operating System 134

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. PostgreSQL has powerful and advanced features, including asynchronous replication, full-text searches of the database, and native support for JSON-style storage, key-value storage, and XML. What is PostgreSQL used for?

Open Source 80

Open Source Healthcare Social Media Database 80

SQL Server According to Bob

DECEMBER 18, 2018

SQL Server relies on Forced-Unit-Access (Fua) I/O subsystem capabilities to provide data durability, detailed in the following documents: SQL Server 2000 I/O Basic and SQL Server I/O Basics, Chapter 2. Be sure to deploy SQL Server 2017 CU6 or newer for best data durability and performance results. “. 4 Socket, TPCC.

Servers 90

Servers Media Cache Storage 90

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.

Open Source 52

Open Source Servers Storage Scalability 52

All Things Distributed

AUGUST 17, 2011

No Server Required - Jekyll & Amazon S3. As some of you may remember I was pretty excited when Amazon Simple Storage Service (S3) released its website feature such that I could serve this weblog completely from S3. I took my time to figure out what weblog CMS I was going to use to free me from having to run a server.

Servers 126

Servers Social Media AWS Website 126

Dynatrace

NOVEMBER 5, 2019

Dependency agent Installation – Maps connections between servers and processes. Combined, these integration points cover the full application stack from infrastructure monitoring to end-user experience. End-to-end distributed tracing rather than simply monitoring the uptime of servers. Available as an agent installer).

Azure 135

Azure Artificial Intelligence Metrics Innovation 135

Percona

JULY 17, 2023

It’s a good setup for real-time analytics and high-speed logging. Infrastructure incompatibility : Organizations might have existing tools and applications that are not readily compatible with MongoDB Enterprise software. Storing large datasets can be a challenge, as Redis’ storage capacity is limited by available RAM.

Open Source 77

Open Source Database Scalability Software 77

Dynatrace

APRIL 21, 2022

Corrected issue in which, when agent injection was suppressed, in some cases processes were incorrectly reported as expected to be monitored and as being monitored when calling `/api/v1/entity/infrastructure/processes` API. (APM-360446). Improved error handling for unexpected storage issues. (APM-360014). APM-360446). APM-361736).

Azure 209

Azure Metrics AWS Monitoring 209

Testsigma

JULY 3, 2021

The security and data storage infrastructure has to meet certain security compliances and standards; only then, the infrastructure is good to go for testing. And you know it — maintaining a horde of tools, systems, servers, and software is no joke! This may require virtual and physical storage spaces, data centers, etc.

Cloud 57

Cloud Testing Storage DevOps 57

The Netflix TechBlog

JULY 30, 2019

Instead, we use a wrapper that pulls in the latest version of Conductor and adds Netflix infrastructure components and libraries before deployment. External Payload Storage External payload storage was implemented to prevent the usage of Conductor as a data persistence system and to reduce the pressure on its backend datastore.

Lambda 189

Lambda Media Open Source Metrics 189

ScaleOut Software

JUNE 22, 2020

The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times. They transparently distribute stored objects across the cluster’s servers and ensure that data is not lost if a server or network component fails.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times. They transparently distribute stored objects across the cluster’s servers and ensure that data is not lost if a server or network component fails.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Smashing Magazine

MAY 17, 2021

Over time, we’ve evolved through a variety of static site generators, JavaScript frameworks, and server technologies. to do much server-side work, the majority of our content is statically exported as HTML, CSS, and JavaScript to be served from a CDN. server behind Caddy , a lightweight HTTP proxy server implemented in Go.

Google 93

Google Analytics Serverless Metrics 93

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. Orchestrate the processing flow across an end-to-end infrastructure. In a traditional visual analytics pipeline, we compress the data by exploiting the redundancies in time and space. Generate interactive and immersive content.

Wireless 54

Wireless IoT Analytics Architecture 54

The Netflix TechBlog

MAY 21, 2019

We needed a way to run agents and tie the runs to the internal infrastructure for analytics, reporting, and visualizations. To maintain the quality of Lerner APIs, we are using the server-less paradigm for Lerner’s own integration testing by utilizing AWS Lambda. which allows fast deployment times and rapid scalability.

Testing 163

Testing AWS Lambda Network 163

All Things Distributed

DECEMBER 14, 2011

With the launch of the South America (Sao Paolo) Region, AWS now provides companies large and small with infrastructure that allows them to get to market faster while reducing their costs which enables them to focus on delivering value, instead of wasting time on non-differentiating tasks. Driving Storage Costs Down for AWS Customers.

AWS 114

AWS Latency Storage Big Data 114

All Things Distributed

AUGUST 16, 2011

The move to the cloud is projected by 2015 see a reduction of 30% in IT infrastructure costs, which amounts to $7.2 Many US federal agencies are already migrating existing IT infrastructure onto the cloud using Amazon Web Services. One particular early use case for AWS GovCloud (US) will be massive data processing and analytics.

AWS 111

AWS Government Big Data Cloud 111

All Things Distributed

AUGUST 22, 2011

Caching has become a standard component in many applications to achieve a fast and predictable performance, but maintaining a collection of cache servers in a reliable and scalable manner is not a simple task. Amazon ElastiCache takes away many of the headaches of deploying, operating and scaling the caching infrastructure.

Cloud 117

Cloud Cache AWS Storage 117

All Things Distributed

MARCH 2, 2011

With the launch of the Asia Pacific (Tokyo) Region, companies can now leverage the AWS suite of infrastructure web services directly connected to Japanese networks. The advanced Asia Pacific network infrastructure also makes the AWS Tokyo Region a viable low-latency option for customers from South Korea. At werner.ly Syndication.

AWS 112

AWS Cloud Games Latency 112

ScaleOut Software

AUGUST 19, 2014

Cloud-based applications enjoy the unique elasticity that cloud infrastructures provide. As more computing resources are needed to handle a growing workload, virtual servers (also called cloud “ instances ”) can be added to take up the slack. For example, consider a web server farm handling requests for web users or mobile apps.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

Cloud-based applications enjoy the unique elasticity that cloud infrastructures provide. As more computing resources are needed to handle a growing workload, virtual servers (also called cloud “ instances ”) can be added to take up the slack. For example, consider a web server farm handling requests for web users or mobile apps.

Cloud 40

Cloud Azure Virtualization Scalability 40

All Things Distributed

APRIL 5, 2012

Troy: We moved our service from internal servers to AWS. Moving to AWS has enabled us with operational agility to deliver more value to those customers without having to worry about scale and infrastructure maintenance. Lack of root access to the underlying server OS was unique – but we have found it does not hinder us in anyway.

Innovation 146

Innovation AWS Education Network 146