Brendan Gregg

FEBRUARY 28, 2023

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person!

Performance 52

Performance Latency Cache Virtualization 52

Testlodge

JANUARY 26, 2022

This article discusses and defines non-functional testing, how it is performed and offers a roundup and links to tools that can help. What causes the long processing time? By performing some non-functional tests, QA could determine the root cause. Risks of not Performing Non-Functional Testing. Performance Testing Tools.

Testing 74

Testing Open Source Testing Tools Programming 74

Dynatrace

APRIL 5, 2021

What is Azure Functions? Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The growth of Azure cloud computing.

Azure 137

Azure Serverless IoT Lambda 137

ACM Sigarch

OCTOBER 10, 2022

In particular, recent research has begun to demonstrate that it is possible to perform security attacks on quantum computers. Through services such as IBM Quantum, Amazon Braket, Microsoft Azure, and others, almost anybody can already run their quantum programs on real NISQ quantum computer hardware.

Architecture 72

Architecture Hardware Programming Cloud 72

Scalegrid

MARCH 12, 2019

It provides the tools to setup, configure, manage, and monitor replication of PostgreSQL, and also enables you to perform manual switchover and failover tasks using repmgr utility. A command-line interface utility which enables you to perform various administrative tasks. Performs automatic failover in case of primary server failure.

Availability 147

Availability Servers Open Source Database 147

Testsigma

NOVEMBER 18, 2021

The focus has shifted to non-functional testing, including running security tests, API & workflow-based performance testing, Chaos Engineering, compatibility testing, etc. Q2: What’s your battle-tested process for finding and resolving bugs in Production? Learn the basics of tools like Jira, Azure DevOps, Jenkins, etc.

Engineering 104

Engineering Social Media DevOps Azure 104

Percona

APRIL 12, 2023

(and partners) and in the process, stifling the upstarts, the truly open source little folks dreaming big. That early decision was notable because whereas the GPL is applied if derivative work is distributed, the AGPL license applies both for distributed work and whenever end users interact with a program over a network.

Open Source 83

Open Source Programming Database Servers 83

Dynatrace

JANUARY 31, 2024

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. Data is then dynamically routed into pipelines for further processing. Addressing security requirements.

Analytics 193

Analytics Processing Transportation Storage 193

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.

Analytics 69

Analytics Azure Processing Speed 69

ScaleOut Software

AUGUST 20, 2020

Simplifying the Development Process with Mock Environments. The key to meeting these challenges is to process incoming telemetry in the context of unique state information maintained for each individual data source. To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

AUGUST 20, 2020

Simplifying the Development Process with Mock Environments. The key to meeting these challenges is to process incoming telemetry in the context of unique state information maintained for each individual data source. To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

JUNE 22, 2020

Most recently, stream-processing has been implemented with in-memory computing to simultaneously analyze telemetry from thousands or even millions of data sources and track dynamic state information for each data source.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

Most recently, stream-processing has been implemented with in-memory computing to simultaneously analyze telemetry from thousands or even millions of data sources and track dynamic state information for each data source.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Testsigma

JUNE 23, 2021

Testsigma offers seamless integrations with a wide range of CI/CD tools such as Jenkins, Azure DevOps, AWS DevOps, AWS Lambda, CircleCI CI/CD, Bamboo CI/CD, Travis CI/CD, CodeShip CI/CD. The usage of For loops in programming paradigms eases the automation of repeating actions. Read more about it here.

Speed 52

Speed Software Software DevOps 52

ScaleOut Software

JANUARY 9, 2020

In addition, real-time information on sales and inventory gives managers new tools that help optimize overall performance and maximize profits. The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

In addition, real-time information on sales and inventory gives managers new tools that help optimize overall performance and maximize profits. The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

In addition, real-time information on sales and inventory gives managers new tools that help optimize overall performance and maximize profits. The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JULY 19, 2021

As shown in the following diagram, a typical analytics system receives messages from a message hub, such as Kafka, which buffers incoming messages from the data sources until they can be processed. These limitations create an opportunity for real-time device tracking to fill the gap.

IoT 78

IoT Analytics Big Data Architecture 78

Scalegrid

OCTOBER 7, 2019

As this open source database continues to pull new users from expensive commercial database management systems like Oracle, DB2 and SQL Server, organizations are adopting new approaches and evolving their own to maintain the exceptional performance of their SQL deployments. The programming language C came in third place, averaging 20.0%

Strategy 182

Strategy Cloud Java Open Source 182

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The Serverless Process.

Serverless 243

Serverless Efficiency Lambda Azure 243

Dynatrace

APRIL 19, 2023

During a Perform 2023 panel discussion, Dynatrace colleagues Donald Ferguson, principal product manager, and Michael Plank, senior product manager, addressed how the Dynatrace platform uses data security and data privacy by design to keep data safer than storing it anywhere else. Why perform exclusion at two points?

Design 191

Design Storage Programming Analytics 191

The Morning Paper

FEBRUARY 20, 2020

Extending relational query processing with ML inference , Karanasos, CIDR’10. The motivation is not that inference will perform better inside the database, but that the database is the best place to take advantage of enterprise features (transactions, security, auditing, HA, and so on). categorical encoding).

Processing 72

Processing Hardware Database Azure 72

Dynatrace

JULY 7, 2022

It’s easy to see why, with benefits such as better testing, easier deployment, faster performance, and more. Then, they can split these services into functional application programming interfaces (APIs), rather than shipping applications as one large, collective unit. But nothing is perfect — and microservices is no exception.

Architecture 199

Architecture Serverless Azure Programming 199

ScaleOut Software

JUNE 15, 2020

A real-time digital twin is a software object that encapsulates dynamic state information for each data source combined with application-specific code for processing incoming messages from that data source. In this usage, relevant state information is computed for each data source and updated as telemetry flows in. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

A real-time digital twin is a software object that encapsulates dynamic state information for each data source combined with application-specific code for processing incoming messages from that data source. In this usage, relevant state information is computed for each data source and updated as telemetry flows in. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns. What is workload in cloud computing?

Cloud 130

Cloud Virtualization Storage Efficiency 130

O'Reilly

FEBRUARY 18, 2020

It’s the single most popular programming language on O’Reilly, and it accounts for 10% of all usage. In programming, Python is preeminent. Normalized search frequency of top programming languages on the O’Reilly online learning platform in 2019 (left) and the rate of change for each language (right). Figure 3 (above).

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

Dotcom-Montior

OCTOBER 19, 2021

A typical SRE is busy automating, cleaning up code, upgrading servers, and continually monitoring dashboards for performance, etc., Programming Languages. Let us look at some of the most common programming languages an SRE group will encounter, like Python, Golang, and Ruby. so they are going to see more tools in that toolbelt.

Engineering 86

Engineering Open Source Programming Monitoring 86

Dynatrace

JULY 10, 2019

This article we help distinguish between process metrics, external metrics and PurePaths (traces). If you already have the OneAgent installed, and you’d like to bring in additional process metrics into Dynatrace , the OneAgent plugin is a good fit. OneAgent & application metrics. OneAgent & cloud metrics.

Java 137

Java Best Practices Metrics Azure 137

Particular Software

SEPTEMBER 20, 2017

Update : The new Azure Service Bus transport for.NET Standard is in preview and will be available soon. If you're interested in joining our Early Access Program, please contact us via support. If you've been looking forward to using.NET Core with NServiceBus on Azure, I'm afraid we've got some bad news. Here's the full story.

Transportation 49

Transportation Azure Programming Design 49

Dynatrace

OCTOBER 4, 2022

However, organizations must structure and store data inputs in a specific format to enable extract, transform, and load processes, and efficiently query this data. These include application programming interfaces, streaming, and more. Massively parallel processing. How does a data lakehouse work? Query language.

Artificial Intelligence 208

Artificial Intelligence Analytics Storage Government 208

Dynatrace

NOVEMBER 10, 2022

Although redesigning applications sounds daunting, understanding how these architectures work will enable your organization to reap the performance and cost benefits of cloud hyperscalers. These loosely coupled, lightweight services typically perform a single function and can be chained together into an application. Microservices.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

NOVEMBER 11, 2022

By centralizing access to resources, teams can easily containerize , configure, and run modern applications across their IT stack using application programming interface (API) connections. Next, organizations need to effectively monitor and streamline HCI processes. Hyperconverged vs. cloud: Consider the differences.

Infrastructure 200

Infrastructure Storage Virtualization Network 200

ScaleOut Software

APRIL 3, 2020

This software can simultaneously perform these actions for hundreds of thousands of ventilators to keep this vital logistical information instantly available for real-time analysis. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

This software can simultaneously perform these actions for hundreds of thousands of ventilators to keep this vital logistical information instantly available for real-time analysis. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

Dotcom-Montior

FEBRUARY 19, 2022

A typical SRE is busy automating, cleaning up code, upgrading servers, and continually monitoring dashboards for performance, etc., Programming Languages. Let us look at some of the most common programming languages an SRE group will encounter, like Python, Golang, and Ruby. so they are going to see more tools in that toolbelt.

Engineering 52

Engineering Open Source Programming Monitoring 52