Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This is simply not possible with conventional architectures. Data management.

Artificial Intelligence 208

Artificial Intelligence Storage Analytics Government 208

Dynatrace

MARCH 6, 2024

Grabner gave the example of one Dynatrace banking customer who built an IDP that enables developers to provision new Azure machines or Chef policies without administrative help. Observability is not only about measuring performance and speed, but also about capturing granular business analytics to support data-driven decision-making.

Engineering 241

Engineering Development DevOps Infrastructure 241

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.

Azure 55

Azure Database Serverless Hardware 55

Dynatrace

AUGUST 2, 2021

Hyperscale is the ability of an architecture to scale appropriately as increased demand is added to the system. Here’s a list of some key hyperscale benefits: Speed : Hyperscale makes it easy to manage your shifting computing needs. But what does that look like? What is hyperscale? The post What’s the hype with hyperscale?

Azure 262

Azure Cloud Google AWS 262

Dynatrace

APRIL 10, 2023

The need for transaction speed in the face of increasing digital customer demand According to Bollampally, the company’s on-premises infrastructure couldn’t support the consolidated reporting it needed while responding to customers’ increasing demand for online shopping. ” Three years ago, Tractor Supply Co.

Cloud 171

Cloud Ecommerce Performance Retail 171

Scalegrid

MARCH 14, 2024

The architecture usually integrates several private, public, and on-premises infrastructures. Key Components of Hybrid Cloud Infrastructure A hybrid cloud architecture usually merges a public Infrastructure-as-a-Service (IaaS) platform with private computing assets and incorporates tools to manage these combined environments.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

OCTOBER 6, 2023

This improves query speeds and reduces related costs for all other teams and apps. Using buckets to query only the data you need significantly speeds up queries and reduces query costs. Keeping these logs separate decreases the data volume for other troubleshooting logs. This allows you to query data from a specific bucket.

Artificial Intelligence 261

Artificial Intelligence Analytics Metrics Storage 261

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. All rights reserved. ** The Forrester Observability Reference Architecture: Putting It Into Practice, Forrester Research, Inc.,

Best Practices 243

Best Practices Analytics Artificial Intelligence Infrastructure 243

Dynatrace

AUGUST 16, 2021

Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Kubernetes deployments can be managed using a combination of both the open-source Azure Kubernetes set context Action and Kubernetes deployment GitHub Action. SLO validation – ?Automatically 2 Confidence: .

Software 246

Software Software Open Source Azure 246

Dynatrace

FEBRUARY 12, 2024

The new observability app for databases from Dynatrace was built to cater to all requirements of database administrators (DBAs), from swiftly assessing database availability and performance to delving into architectural intricacies for efficient troubleshooting. Ortner reviewed the process of solving these issues. “We

Engineering 182

Engineering Development Infrastructure Cloud 182

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

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? Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

JANUARY 5, 2022

In recent years, customer projects have moved towards complex cloud architectures, including dozens of microservices and different technology stacks which are challenging to develop, maintain, and optimize for resiliency. from other test tools or real users). Leveraging the W3C Trace context header. The white box load testing project setup.

Testing 217

Testing Open Source Metrics Infrastructure 217

Dynatrace

JULY 12, 2022

After moving to Microsoft Azure for many of its production-stage applications, Park ‘N Fly’s IT teams experienced blind spots. “We IT automation speeds code development. It’s all part of a continuous deployment architecture,” Schirrmacher says. “We And once those finish, we are going to throw it back in the pool.

Innovation 219

Innovation Infrastructure DevOps Azure 219

KeyCDN

FEBRUARY 22, 2023

The goal of WebAssembly is to execute at native speeds by taking advantage of common hardware features available on a variety of platforms. There are several popular cloud-based platforms for web development and deployment, such as AWS , Azure , and Google Cloud Platform.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

High Scalability

NOVEMBER 25, 2019

Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network.

Architecture 52

Architecture Cache Azure Storage 52

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys.

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

High Scalability

JULY 20, 2018

That’s mapping applications to the specific architectural choices. The third wing of the architecture piece is the “domain specific system-on-chip.” And you already see that in machine learning, where there’s a really hot field in terms of deep neural nets and other implementations.

Internet 121

Internet Internet Scalability Automotive 121

Brendan Gregg

FEBRUARY 28, 2023

## References I've reproduced the references from my SREcon22 keynote below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 110

Performance Latency Cache Virtualization 110

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

NOVEMBER 29, 2021

Self-hosted Kubernetes installations or services — such as Amazon EKS, Azure Kubernetes Service, or the Google Kubernetes Engine — make it possible for enterprises to select and implement best-fit functions. Microservices architecture combines loosely-coupled functions to create high-performing applications. Speeds up development.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Tasktop

APRIL 20, 2021

In this release, we also focused a lot on improving the speed and efficiency of artifact processing and change detection. 590) and Sharepoint (Azure AD). Grasp severity at a glance: A colored background badge indicates the type of event or error code. Optimized Performance in Large Scale Implementations.

Design 52

Design Healthcare Azure Government 52

Enprowess

JANUARY 12, 2022

Web development is evolving at a rapid speed with each passing year. Serverless Architecture. And so, it optimizes the page loading speed and reduces the bounce rate. So it is convenient for all to use irrespective of internet speed and it works offline using cached data. Serverless Architecture. API Blueprint.

Blockchain 59

Blockchain IoT Development Serverless 59

IO River

NOVEMBER 2, 2023

It’s not just limited to cloud resources like AWS and Azure; Terraform is versatile, extending its capabilities to key performance areas like Content Delivery Network (CDN) management, ensuring efficient content delivery and optimal user experience.‍Started ‍Terraform is a revolution in the way we handle infrastructure.

Open Source 52

Open Source DevOps AWS Azure 52

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? It then lets users create SQL-like queries with extensions for time-windowing to perform data selection and aggregation within a time window, and it does this at high speed to keep up with incoming data streams. An Example.

Analytics 69

Analytics Azure Processing Speed 69

The Morning Paper

FEBRUARY 27, 2020

This paper describes Gandalf, the software deployment monitor in production at Microsoft Azure for the past eighteen months plus. At a high level Gandalf looks like this: It ingests performance data, failure signals, and component update events and passes them through both fast and slow paths (a lambda architecture).

Analytics 68

Analytics Infrastructure Cloud Hardware 68

Tasktop

JULY 21, 2020

You can now tightly integrate Jira Align with the rest of your software delivery value stream to improve the speed, velocity and quality of your deliveries. Tasktop’s latest product release from its Value Stream Management platform —Tasktop Hub 20.3—is The Easiest, Most Sophisticated Toolchain Integration.

Azure 52

Azure DevOps Programming Scalability 52

Brendan Gregg

FEBRUARY 28, 2023

References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 52

Performance Latency Cache Virtualization 52

IO River

NOVEMBER 2, 2023

This means that with Terraform, you can manage resources across multiple cloud providers, including AWS, Azure, Google Cloud, and more, using a single tool.‍A Real-time monitoring can help detect any anomalies as soon as they happen, thereby increasing the speed at which problems can be diagnosed and solved. ‍It Hold that thought.

Open Source 40

Open Source DevOps AWS Azure 40

ScaleOut Software

JULY 19, 2021

Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. This architecture does not apply computing resources to track the myriad data sources sending telemetry and continuously look for issues and opportunities that need immediate responses.

IoT 78

IoT Analytics Big Data Architecture 78

Testsigma

MAY 19, 2021

Thinking back on how SDLC started and what it is today, the only reasons for its success can be accounted to efficiency, speed and most importantly automation – DevOps and cloud-based solutions can be considered major contributors here (after all DevOps is 41% less time-consuming than traditional ops ). . is a bad idea. Sign up Now.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

Tasktop

JUNE 20, 2019

An Agile organization’s biggest architectural blindspot? Clever Value Stream Architecture designs for speed, visibility and traceability and it relies on APIs and abstraction. Here are some examples: • Incidents created in ServiceNow are automatically synchronized to Azure DevOps as bugs. Its toolchain.

Development 45

Development DevOps Google Innovation 45

VoltDB

JUNE 1, 2017

5G expects a latency of 1ms , which considering that the speed of light means the data center can’t be more than 186 miles away, or 93 miles for a round trip, assuming an instant response. They want to compete with AWS or Azure, and want to use OpenStack as a foundation for a commercial offering. The “Public Private Cloud” folks.

Hardware 56

Hardware Latency Virtualization Cloud 56

Abhishek Tiwari

NOVEMBER 3, 2018

When it comes to innovation, most of CMS solutions are constrained by their legacy architecture (read strong coupling between content management and content presentation) which makes it difficult to serve content to new types of emerging channels such as apps and devices. Nonetheless, for static sites and JAMstack, CDN is essential.

Systems 63

Systems Cache Website Network 63

Percona

JULY 26, 2023

Indexing can help to speed up read queries, but it comes with an extra cost of storage, and they will slow down write operations. For example, if you are creating a compound index, the Equality, Sort, Range rule is a must to follow, and using an index to sort the results improves the speed of the query.

Database 79

Database Servers Storage Strategy 79

VoltDB

JUNE 1, 2017

5G expects a latency of 1ms , which considering that the speed of light means the data center can’t be more than 186 miles away, or 93 miles for a round trip, assuming an instant response. They want to compete with AWS or Azure, and want to use OpenStack as a foundation for a commercial offering. The “Public Private Cloud” folks.

Hardware 40

Hardware Latency Virtualization Cloud 40