Dynatrace

NOVEMBER 11, 2022

More organizations are adopting a hybrid IT environment, with data center and virtualized components. However, today’s IT teams are stretched thin, with little time to firefight issues with deployment, integration, and data center management. But in an HCI framework, purchasing more storage means purchasing more compute.

Infrastructure 201

Infrastructure Storage Virtualization Network 201

High Scalability

JANUARY 11, 2022

from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. Data Models. Graph Data Models.

Design 334

Design Media Storage Logistics 334

SQL Performance

APRIL 15, 2020

SQL Server has always provided the ability to capture actual queries in an easily-consumable rowset format – first with legacy SQL Server Profiler, later via Extended Events, and now with a combination of those two concepts in Azure SQL Database. Network hit from the ADS Profiler extension (4-minute range).

Azure 96

Azure Database Tuning Network 96

The Morning Paper

MARCH 8, 2020

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. This paper describes the design decisions behind the Snowflake cloud-based data warehouse. An increasingly large fraction of data in modern workloads comes from less predictable and highly variable sources. joins) during query processing.

Storage 112

Storage Engineering Cache Serverless 112

SQL Performance

APRIL 27, 2020

Azure SQL Database is Microsoft's database-as-a-service offering that provides a tremendous amount of flexibility. Microsoft is continually working on improving their products and Azure SQL Database is no different. Microsoft is continually working on improving their products and Azure SQL Database is no different. GB per vCore.

Azure 55

Azure Database Serverless Hardware 55

Dynatrace

MARCH 24, 2023

But managing the deployment, modification, networking, and scaling of multiple containers can quickly outstrip the capabilities of development and operations teams. This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles. How does container orchestration work?

Infrastructure 186

Infrastructure Open Source Operating System Cloud 186

Dynatrace

JUNE 7, 2023

” In recent years, cloud service providers such as Amazon Web Services, Microsoft Azure, IBM, and Google began offering Kubernetes as part of their managed services. Without having to worry about underlying infrastructure concerns, such as storage, security, and lifecycle management, developers can focus on writing code.

Open Source 206

Open Source Social Media Infrastructure Operating System 206

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. This applies to both virtual machines and container-based deployments.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

MARCH 14, 2024

Implementing a hybrid cloud solution involves careful decision-making regarding application and data placement, migration strategies, and choosing compatible cloud service providers while ensuring seamless integration and addressing security and compliance challenges. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

SEPTEMBER 13, 2023

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? These workflows also utilize Davis® , the Dynatrace causal AI engine, and all your observability and security data across all platforms, in context, at scale, and in real-time.

AWS 247

AWS Efficiency Azure Cloud 247

DZone

APRIL 26, 2019

The cohesive, albeit heterogeneous on-premises IT environments of the past have given way to a disaggregated, interdependent mélange of compute, network, and storage components, both on-premises and in the private and public clouds.

Azure 145

Azure Traffic Virtualization Performance 145

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. billion in 2020 to $4.1

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

Dynatrace

JUNE 26, 2020

Here is the first batch of 15 public locations for HTTP monitoring: Chicago (Azure) ?, Virginia (Azure), N. California (AWS), San Jose (Azure), Texas (Azure), Ohio (AWS), Toronto (Azure) ?, London (AWS), London (Azure), Frankfurt (AWS) ?, Hong Kong (Azure), Tokyo (Azure), Sao Paulo (AWS).

Monitoring 257

Monitoring Azure AWS Traffic 257

Dynatrace

DECEMBER 8, 2021

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. These rapid changes — as well as the increasing volume and variety of data created — require a new approach to observability. The last aspect is the centralization of compute.

Cloud 226

Cloud Serverless Hardware Operating System 226

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 241

Analytics Infrastructure AWS Operating System 241

Scalegrid

JULY 29, 2019

MySQL is a free open source relational database management system that is leveraged across a majority of WordPress sites, and allows you to query your data such as posts, pages, images, user profiles, and more. Host MySQL on AWS , or MySQL on Azure with configurable instance sizes through the top two cloud providers in the world.

Database 166

Database Cloud Website Azure 166

Scalegrid

JANUARY 8, 2024

Integrating data sources and applications across multiple cloud providers brings about integration hurdles due to the different platforms involved. Whether it’s AWS CloudFormation, Microsoft Azure Automation, or IBM Cloud Orchestrator, these technologies simplify the management of hybrid cloud infrastructure by automating complex processes.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Percona

APRIL 26, 2023

A physical restore is essentially copying data files to the target nodes and starting a database with that data catalog, while logical means copying data and running insert operations on the database, which brings overhead on parsing data, building indexes, etc. So data doesn’t spread evenly across the files.

Speed 83

Speed Storage AWS Azure 83

Percona

FEBRUARY 24, 2023

PMM can also show you historical data that can help you identify how long a service has been in a given state. From AWS documentation , Amazon EBS is an easy-to-use, scalable, high-performance block-storage service designed for Amazon EC2. Marked in red in Figure 1 is a server with less than 30% of CPU usage.

Cloud 122

Cloud Serverless AWS Storage 122

Scalegrid

JANUARY 8, 2024

By analyzing real-time data, AI-based models can: Adjust the allocation of resources in response to demand Boost business performance Reduce unnecessary expenditures Lead to significant cost savings Improve scalability Operational Efficiency through Automation Automation is a significant way AI enhances cloud operations.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

NOVEMBER 23, 2020

Nevertheless, there are related components and processes, for example, virtualization infrastructure and storage systems (see image below), that can lead to problems in your Kubernetes infrastructure. Configuring storage in Kubernetes is more complex than using a file system on your host. Logs can also be used to represent event data.

Virtualization 161

Virtualization Infrastructure Monitoring Cloud 161

High Scalability

APRIL 16, 2019

Scenario 3 – Network Partition – Network Connectivity Breaks Down Between Master and Slave Nodes. This is a classical problem in any distributed system where each node thinks the other nodes are down, while in reality, only the network communication between the nodes is broken.

Availability 149

Availability Network Azure AWS 149

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights , includin g: . Logs represent event data in plain-text, structured or binary format . This type of data can be extended by adding additional meta-information, like real user experience data and topology details. .

Analytics 135

Analytics Infrastructure AWS Operating System 135

Adrian Cockcroft

APRIL 7, 2023

Sunset in Morocco — photo taken by Adrian We want to reduce carbon emissions of our compute and storage workloads, and one way of doing this is to choose a time and place where the “grid mix” of energy consumed is less carbon intensive. AWS calls this an Insufficient Capacity Exception (ICE) and works very hard to avoid it.

Energy 52

Energy AWS Azure Cloud 52

High Scalability

JUNE 22, 2018

using them to respond to storage events on s3 or database events or auth events is super easy and powerful. OpenConnect, the ability to deploy the CDN directly into the internal network of these ISPs served multiple purposes--not the least of which was to expose the fact that they were holding Netflix for ransom. I am a hit at parties.

Internet 113

Internet Internet Scalability Artificial Intelligence 113

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The list goes on. The Limitations of Today’s Streaming Analytics. The following diagram illustrates a typical workflow.

IoT 78

IoT Analytics Big Data Architecture 78

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

Brendan Gregg

FEBRUARY 28, 2023

Titus, the Netflix container management platform, is now open source,” [link] Apr 2018 - [Cutress 19] Dr. [link] 2021 - [Trader 21] Tiffany Trader, “Cerebras Second-Gen 7nm Wafer Scale Engine Doubles AI Performance Over First-Gen Chip ,” [link] Apr 2021 - [Ghigoff 21] Yoann Ghigoff, et al., "BMC:

Performance 110

Performance Latency Cache Virtualization 110

Percona

MAY 2, 2023

In today’s data-driven world, losing critical data can be catastrophic for any organization. As a MongoDB user, it’s crucial to ensure that your data is safe and secure in the event of a disaster or system failure. For organizations that rely on data to operate, database backups are critical for business continuity.

Best Practices 52

Best Practices Database Storage Servers 52

Abhishek Tiwari

JULY 22, 2023

These policies encompass a wide range of concerns, including security best practices, data protection measures, industry regulations, privacy laws, accessibility requirements, and internal organizational policies. To ensure adherence to security and compliance requirements, they employ Sentinel policies to validate Terraform configurations.

AWS 52

AWS Best Practices Infrastructure Traffic 52

Percona

JULY 26, 2023

MongoDB is a non-relational document database that provides support for JSON-like storage. It provides a flexible data model allowing you to easily store unstructured data. If you don’t update to this version, you will run the risk of losing data. MongoDB is popular with developers as it is easy to get started with.

Database 83

Database Servers Storage Strategy 83

Smashing Magazine

NOVEMBER 8, 2018

Sharing Data Among Multiple Servers Through AWS S3. Sharing Data Among Multiple Servers Through AWS S3. Note: It makes sense to use S3 as the cloud object storage solution only if we also use Amazon’s service for virtual servers on the cloud, EC2 , for running the application. Leonardo Losoviz. 2018-11-08T12:30:30+01:00.

AWS 44

AWS Servers Storage Cloud 44

SQL Server According to Bob

MAY 19, 2019

SQL Server will ship Azure SQL Database Edge: [link]. For example, Azure SQL Database Edge can already use TSQL Predict Machine Learning (ML) and Column Storage. Specifically, each data page stored in Buffer Pool has an associated latch used to protect access to the data on the page. Networking Pump Threads.

IoT 61

IoT Servers Development Cache 61

The Morning Paper

SEPTEMBER 19, 2019

Their dataset has about 7B edges… Meanwhile, AnalyticDB is Alibaba’s real-time OLAP RDBMS handling 10PB of data (in excess of 100 trillion rows!). Microsoft have a paper describing their new recovery mechanism in Azure SQL Database , the key feature being that it can recovery in constant time. Research papers. (In

Blockchain 46

Blockchain Hardware Google Analytics 46

The Morning Paper

FEBRUARY 20, 2020

Given the desire to keep enterprise data within the database, and to treat models as data also, the question is can we do inference in the database with acceptable performance? A cross-optimiser then looks for opportunities to optimise the data operator parts of the query given the ML model, and vice-versa (e.g., pruning).

Processing 72

Processing Hardware Database Azure 72

SQL Performance

JANUARY 22, 2020

Table-valued parameters have been around since SQL Server 2008 and provide a useful mechanism for sending multiple rows of data to SQL Server, brought together as a single parameterized call. ) ; Then we will need a.NET application that is going to use this user-defined table type as an input parameter for passing data into SQL Server.

Servers 55

Servers Azure Hardware Network 55