Dynatrace

JANUARY 11, 2023

In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloud monitoring solutions on average. What is cloud monitoring? Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 230

Cloud Monitoring Best Practices Infrastructure 230

Scalegrid

JANUARY 9, 2024

What does strong enterprise cloud security entail, and how can you achieve it? With the prevalence of cyber threats and regulatory pressures, safeguarding your enterprise’s cloud infrastructure is more critical than ever. As more and more enterprises incorporate cloud-based systems, ensuring their security becomes a key concern.

Strategy 130

Strategy Cloud Best Practices Government 130

Percona

FEBRUARY 10, 2023

In the cloud era, however, developers and operation engineers started fully embracing automation tools making their job significantly easier. Today along with their team, we will see how pvc-autoresizer can automate storage scaling for MongoDB clusters on Kubernetes. In our lab we will use AWS EKS with a standard storage class.

Storage 107

Storage Blockchain AWS Cloud 107

Dynatrace

FEBRUARY 2, 2023

As more and more workloads are migrated to the hyperscaler cloud-service providers, the utilization of cloud services is now standard for many organizations. For example, to monitor non-compute resources in Azure, many solutions require special components configured separately or even hosted by the customer.

Azure 232

Azure Cloud Monitoring Metrics 232

Percona

MARCH 1, 2023

Public cloud spending is slowing down. This is businesses’ response to tough and uncertain macroeconomic conditions, where organizations scrutinize their public cloud spending to optimize and adjust. year For ten instances, it will be $168,192 per year Default gp2 storage is $0.115 per GB-month, for 200 GB, it is $22.50/month

Cloud 130

Cloud Storage AWS Database 130

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events.

Systems 192

Systems Cloud Analytics DevOps 192

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.

Google 229

Google Cloud Serverless Azure 229

Dynatrace

JUNE 27, 2023

Logs complement metrics and enable automation Cloud practitioners agree that observability, security, and automation go hand in hand. The increasing complexity of cloud service architectures requires a rock-solid understanding of the activity, health status, and security of cloud services.

AWS 208

AWS Cloud Lambda Analytics 208

Dynatrace

NOVEMBER 10, 2020

As a leader in cloud infrastructure and platform services , the Google Cloud Platform is fast becoming an integral part of many enterprises’ cloud strategies. Simplified cloud complexity with fully automated observability of Google Cloud. Dynatrace news.

Google 229

Google Cloud Serverless Innovation 229

High Scalability

OCTOBER 24, 2022

There's a move to regulate cloud providers by vertically separating the services they offer. Like railroads of yore, who were not allowed to provide freight services on top of their base services, cloud providers would not be allowed to provide services on top of their base platform services. The job of a cloud is to run workloads.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

Dynatrace

JULY 31, 2020

Cloud-based solutions typically aren’t a viable option or enterprises that have strict security or privacy policies that require their data to be maintained on-premise. To give you a helping hand in such scenarios, we decided to facilitate Managed cluster deployments for major cloud platforms. Dynatrace news. Prerequisites.

Cloud 219

Cloud Availability Azure Google 219

Dynatrace

MAY 23, 2024

Dynatrace ® AutomationEngine features a no- and low-code toolset and leverages Davis ® AI to empower teams to create and extend customized, intelligent, and secure workflow automation across cloud ecosystems. For more details, see the blog post, Set up AI-powered observability for your Microsoft Azure cloud resources in just one click.

Azure 225

Azure Cloud Metrics Innovation 225

Percona

FEBRUARY 24, 2023

If you’re using PostgreSQL in the cloud, there’s a good chance you’re spending more than you need in order to get the results you need for your business. Usage reduction: What to look for to reduce PostgreSQL cloud costs The first step in cost reduction is to use what you need and not more. Don’t pay for capacity you don’t use or need.

Cloud 117

Cloud Serverless AWS Storage 117

Dynatrace

MAY 21, 2024

As a technology executive, you’re aware that observability has become an imperative for managing the health of cloud and IT services. Observability data presents executives with new opportunities to achieve this, by creating incremental value for cloud modernization , improved business analytics , and enhanced customer experience.

Technology 209

Technology Technology Analytics Storage 209

The Netflix TechBlog

MARCH 6, 2019

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Assemble and decrypt parts? —?Our Mount multiple objects? — ?

Media 214

Media Storage Processing Cache 214

Dynatrace

NOVEMBER 6, 2023

Cloud-native workloads on edge devices are gaining momentum among organizations as they extend the hybrid cloud closer to the data source and end users at the edge. Successful deployments of cloud-native workloads at the edge help to reduce costs, boost performance, and improve customer experience. Try it out with a free trial.

Retail 268

Retail Analytics Storage Cloud 268

Dynatrace

MAY 7, 2024

Unfortunately, their market prediction wasn’t correct; the cloud became more successful than IOT. New processors: Introducing new processors, including Metric Selector and Content Modifier, for selective data processing and metadata adjustment, improving data relevance and storage efficiency. See the example below.

Best Practices 252

Best Practices IoT Metrics Storage 252

Dynatrace

AUGUST 27, 2020

Cloud deployments have grown rapidly in recent years, and enterprise hybrid and multicloud environments have become the new standard, resulting in new challenges such as: Keeping up with dynamic, autoscaling environments where instances, applications and microservices come and go fast. AWS Storage Gateway. Dynatrace news. AWS OpsWorks.

AWS 274

AWS Cloud IoT Database 274

Scalegrid

JULY 8, 2019

So many default to Amazon RDS, when MySQL performs exceptionally well on Azure Cloud. In this post, we outline the best way to host MySQL on Azure , including managed solutions, instance types, high availability replication, backup, and disk types to use to optimize your cloud database performance. MySQL DBaaS vs. Self-Managed MySQL.

Azure 219

Azure Cloud Virtualization Database 219

DZone

MAY 22, 2019

However, Hive cannot access a single table directly using a single query with the data of this Hive table across different mediums of storage and different clusters. In this regard, data will always reside in the under-storage system as the source of truth and can be residing temporarily in the Alluxio file system.

Storage 100

Storage Systems Virtualization Cloud 100

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs).

Retail 245

Retail Storage Best Practices Architecture 245

Dynatrace

OCTOBER 30, 2023

During the session, Reitbauer dove into several business-critical, high-impact examples of how customers can wield platform engineering in the Dynatrace platform out of the box and throughout the entire software delivery lifecycle. One of the keys to managing cloud costs is ensuring that operations are running efficiently.

Engineering 252

Engineering DevOps Innovation Storage 252

Percona

FEBRUARY 1, 2023

This post will look at using The Oversized-Attribute Storage Technique (TOAST) to improve performance and scalability. Therefore, TOAST is a storage technique used in PostgreSQL to handle large data objects such as images, videos, and audio files.

Storage 89

Storage Scalability Strategy Performance 89

Dynatrace

JULY 29, 2022

Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics. Data silos.

Analytics 223

Analytics Storage Retail Monitoring 223

Scalegrid

MAY 13, 2020

High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Greenplum can run on any Linux server, whether it is hosted in the cloud or on-premise, and can run in any environment. Polymorphic Data Storage. Greenplum Advantages. Major Use Cases. The Greenplum Architecture.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

AUGUST 11, 2022

Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. Cloud providers then manage physical hardware, virtual machines, and web server software management.

Development 259

Development Serverless Best Practices Lambda 259

Dynatrace

AUGUST 1, 2022

Famous examples include Redis , PostgreSQL , MySQL, and MongoDB. For example, let’s say you have an idea for a new social network and decide to use Kubernetes as your container management platform. You quickly realize that it will take ages to fill up the overprovisioned database storage.

Storage 196

Storage Database Network Metrics 196

Scalegrid

JULY 29, 2019

In order for your WordPress website to be able to access, store and retrieve the data in your MySQL database, it needs to be hosted online through a cloud computing service. Host MySQL on AWS , or MySQL on Azure with configurable instance sizes through the top two cloud providers in the world. High Availability. Customize Your Plan.

Database 166

Database Cloud Website Azure 166

The Morning Paper

JANUARY 28, 2020

Narrowing the gap between serverless and its state with storage functions , Zhang et al., Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " Cloud providers count on this to ease provisioning and fault-tolerance.

Serverless 99

Serverless Storage Latency Cloud 99

Dynatrace

JULY 29, 2022

Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics. Data silos.

Analytics 190

Analytics Storage Retail Monitoring 190

Dynatrace

OCTOBER 4, 2022

This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes). This decoupling ensures the openness of data and storage formats, while also preserving data in context. Ingest and process with Grail. Retain data.

Artificial Intelligence 275

Artificial Intelligence Analytics Storage Architecture 275

Dynatrace

AUGUST 28, 2020

Fully automated observability into your Azure multi-cloud environment. You can integrate Dynatrace with Azure for intelligent monitoring of services running in Azure Cloud. Azure Data Lake Storage Gen1. For this, we selected three example services: Azure Automation, Azure Data Factory, and Azure Logic Apps.

Azure 160

Azure Cloud Tuning Monitoring 160

O'Reilly

MAY 19, 2020

O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. Without further ado, here are the key results: • At first glance, cloud usage seems overwhelming. More than half of respondents use multiple cloud services. •

Cloud 141

Cloud Serverless AWS Architecture 141

Dynatrace

SEPTEMBER 13, 2023

If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud.

AWS 256

AWS Efficiency Azure Cloud 256

High Scalability

JANUARY 11, 2022

Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity. Fetching User Feed. Sample Queries supported by Graph Database. Optimization.

Design 334

Design Media Storage Logistics 334

Dynatrace

DECEMBER 5, 2023

ARM architecture, based on a processor type optimized for cloud and hyperscale computing, has become the most prevalent on the planet, with billions of ARM devices currently in use. This is a crucial factor for all data centers, cloud or managed, where power consumption and cooling costs are reflected in the total cost of ownership.

Efficiency 273

Efficiency Architecture Energy Monitoring 273

Dynatrace

OCTOBER 4, 2022

Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. Teams have introduced workarounds to reduce storage costs. Stop worrying about log data ingest and storage — start creating value instead. Limited data availability constrains value creation.

Analytics 243

Analytics Artificial Intelligence Storage Serverless 243