Dynatrace

MAY 14, 2020

The world’s most scalable, automatic distributed tracing pushes the boundary once again with enhanced Adaptive Load Management. Dynatrace has been building automated distributed application instrumentation—without the need to modify source code—for over 15 years already. All this automatically and with the same hardware.

Processing 149

Processing Hardware Traffic Storage 149

Dynatrace

SEPTEMBER 30, 2021

Digital transformation, the process of integrating digital technology into all areas of a business, is a foundational change in how modern organizations deliver value to customers and improve internal processes. Cloud migration can also be an opportunity for organizations to embrace green-field technologies and projects from the ground up.

Cloud 158

Cloud Traffic Best Practices Strategy 158

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Customizing and connecting these services requires code. What is AWS Lambda? Where does Lambda fit in the AWS ecosystem?

Lambda 173

Lambda AWS Serverless Hardware 173

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Scalegrid

JULY 13, 2020

You can compare all of their license costs in their Oracle Technology Global Price List. Oracle requires more complex ongoing administration, as all database configurations must evolve in conjunction with the data schemas and custom code. Scalability. PostgreSQL Community. Oracle Standard Edition. Oracle Enterprise Edition.

Open Source 244

Open Source Tuning C++ Database 244

Dynatrace

OCTOBER 28, 2020

It covers the whole range of technologies, from bleeding-edge cloud platforms down to the mainframe. We choose AppMon back then, not only because of the unique code-level visibility in production into each transaction but also because of the broadest technology coverage in the market. Automate and save time!

Monitoring 143

Monitoring Systems Infrastructure Cloud 143

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. It also supports the flexibility and scalability of the database infrastructure.

Availability 105

Availability Database Open Source Hardware 105

KeyCDN

FEBRUARY 22, 2023

Artificial intelligence and machine learning Artificial intelligence (AI) and machine learning (ML) are becoming more prevalent in web development, with many companies and developers looking to integrate these technologies into their websites and web applications. The main benefits of serverless architecture are cost savings and scalability.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Dynatrace

DECEMBER 20, 2019

We choose AppMon back then, not only because of the unique code-level visibility in production into each transaction but also because of the broadest technology coverage in the market. You can’t keep pace by simply upgrading to the latest hardware and updating to the latest release twice a year. Automate and save time!

Infrastructure 133

Infrastructure Cloud Monitoring Government 133

Percona

OCTOBER 18, 2023

Flexibility and scalability Open source databases provide much greater flexibility regarding customization and configuration. You can tailor the database to meet your precise requirements by modifying the source code, adding extensions, or customizing configurations. Start by identifying the reasons driving the migration.

Open Source 90

Open Source Database Hardware Strategy 90

Dynatrace

OCTOBER 28, 2021

As software performance degrades or fails, the chaos engineers’ findings enable developers to add resiliency into the code, so the application remains intact in an emergency. Chaos engineering matured at organizations such as Netflix, and gave rise to technologies such as Gremlin (2016) , becoming more targeted and knowledge-based.

Engineering 214

Engineering Entertainment Cloud Infrastructure 214

Testsigma

APRIL 4, 2022

Automation is defined by Wikipedia as a wide range of technologies that reduce human involvement in processes. Mocking Component Behavior Useful in IoT & Embedded Software Testing Can also reduce (or eliminate) actual hardware/component need Test Reporting Generating summary report/email. = Test Execution. Martin Fowler.

Testing 95

Testing Open Source IoT Programming 95

The Netflix TechBlog

DECEMBER 23, 2020

Titus internally employs a cellular bulkhead architecture for scalability, so the fleet is composed of multiple cells. We do this for reliability, scalability, and efficiency reasons. The building blocks of multi-tenancy are Linux namespaces , the very technology that makes LXC, Docker, and other kinds of containers possible.

Media 286

Media Metrics Systems Processing 286

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

Scalability 40

Scalability Cache Airlines Healthcare 40

Dotcom-Montior

NOVEMBER 24, 2021

With the rapid advancements in web application technologies, programming languages, cloud computing services, microservices, hybrid environments, etc., Software and hardware components are autonomous and execute tasks concurrently. Scalability. Gone are the days of monolithic architecture. Concurrency. Heterogeneity. Complexity.

Systems 74

Systems Monitoring Hardware Network 74

Testsigma

SEPTEMBER 9, 2021

Resources can be any element i.e., hardware, software, or infrastructure which are necessary to carry out tests. The best part of Testsigma is that it needs ‘zero-coding skills” to do it. And the tests only break when there is a bug in the code. Scalable – reduce or expand according to your needs. No set-up.

Cloud 59

Cloud Testing Mobile Scalability 59

ACM Sigarch

APRIL 26, 2018

With its modular architecture, DLA is scalable, highly configurable, and designed to simplify integration and portability. HPU: Holographic Processing Unit (HPU) is the specific hardware of Microsoft’s Hololens. SPU: Stream Processing Unit (SPU) is related to the specialized hardware to process the data streams of video.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

Dotcom-Montior

MAY 12, 2020

Website and web application technologies have grown tremendously over the years. Monitoring of page load time, page length, response time, and request code can also be observed with the traditional HTTP monitoring. Hardware resources. Hardware Resources. The list goes on and on. Connection time. Network latency.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

ScaleOut Software

APRIL 22, 2020

The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. A widely used technology called distributed caching meets this need by storing frequently accessed data in memory on a server farm instead of within a database.

Cache 52

Cache Storage Servers Database 52

Percona

JULY 7, 2023

With the average cost of unplanned downtime running from $300,000 to $500,000 per hour , businesses are increasingly using high availability (HA) technologies to maximize application uptime. Can you afford the necessary hardware, software, and operational costs of maintaining a PostgreSQL HA solution? there cannot be high availability.

Availability 83

Availability Open Source Architecture Database 83

Testsigma

FEBRUARY 6, 2020

” With the advent of new technologies and new software being released every day, software testing is gaining more strength and accolades. Testing and development are going hand in hand for a faster release in this Agile world. ” In Static Testing, code is not executed. ” In Dynamic Testing, the code is executed.

Software 69

Software Software Testing Scalability 69

SQL Server According to Bob

JUNE 3, 2016

My development collogues and I are starting a regular blog series, outlining the vast range of scalability improvements, allowing SQL Server 2016 to run across a wide array of hardware configurations, faster and better than previous releases of SQL Server. Try SQL Server 2016 Today. – [link]. Table of Contents.

Hardware 40

Hardware Software Engineering Transportation Scalability 40

KeyCDN

JANUARY 23, 2020

A wide range of users with different operating systems, browsers, hardware configurations and other variables provides a wide sample size that helps developers discover as many issues as possible. Some APM solutions can monitor code during development to ensure performance. What is real user monitoring (RUM)?

Strategy 72

Strategy Metrics Monitoring Servers 72

SQL Server According to Bob

SEPTEMBER 26, 2016

When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). As we moved towards SQL Server 2014, the pace of hardware accelerated.

Availability 40

Availability Servers Hardware Benchmarking 40

O'Reilly

JULY 15, 2020

Combined, technology verticals—software, computers/hardware, and telecommunications—account for about 35% of the audience (Figure 2). Do we see meaningful connections between success with microservices and the use, or disuse, of specific technologies? Containers are a simplifying technology. Probably so. services).

Database 138

Database Architecture Education Systems 138

Adrian Cockcroft

JUNE 21, 2022

I also learned a lot about how to work directly with customers, when to shut up and let the sales guy drive the conversation, and generally how technology sales works. I still code in R… One role I had for many years was to lead technical training events for the global specialist systems engineers, which we called the Ambassador Program.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Abhishek Tiwari

JULY 12, 2018

Here are 8 fallacies of data pipeline The pipeline is reliable Topology is stateless Pipeline is infinitely scalable Processing latency is minimum Everything is observable There is no domino effect Pipeline is cost­-effective Data is homogeneous The pipeline is reliable The inconvenient truth is that pipeline is not reliable.

Latency 63

Latency Analytics Scalability Engineering 63

All Things Distributed

MAY 8, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Using the AWS Toolkit for Visual Studio , you can now deploy your.NET applications to AWS Elastic Beanstalk directly from your Visual Studio environment without changing any code. All Things Distributed. Expanding the Cloud for Windows Developers. Comments ().

Cloud 115

Cloud Development AWS Servers 115

High Scalability

NOVEMBER 25, 2019

Java used to power core file system code. Python used to power client-side code, certain microservices, migration scripts, internal scripts. Do you use any particularly cool technologies or algorithms? ReactJS/Backbone/Marionette/JQuery/npm/Nightwatch. SOA architecture based on REST APIs. Native Android and iOS apps.

Architecture 52

Architecture Cache Azure Storage 52

Dynatrace

AUGUST 5, 2019

There is no code or configuration change necessary to capture data and detect existing services. It covers these key areas: Technology & Dependency Analysis. Step 1: Get to Know your Technology & Service Stack. Which technologies are candidates to be moved? For which technologies do we have alternative offerings?

Cloud 31

Cloud Traffic Database Network 31

All Things Distributed

MARCH 19, 2018

At AWS, we continue to strive to enable builders to build cutting-edge technologies faster in a secure, reliable, and scalable fashion. Machine learning is one such transformational technology that is top of mind not only for CIOs and CEOs, but also developers and data scientists. Post-training model tuning and rich states.

Scalability 159

Scalability Hardware AWS Tuning 159

Smashing Magazine

JANUARY 11, 2021

Have we optimized enough with tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, progressive hydration, clients hints, HTTP/3, service workers and — oh my — edge workers? It’s much easier to reach performance goals when the code base is fresh or is just being refactored.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? It’s much easier to reach performance goals when the code base is fresh or is just being refactored.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? The first render tends to warm up a bunch of lazily compiled code, which a larger tree can benefit from when it scales.

Performance 104

Performance Cache Metrics Network 104

Highly Scalable

AUGUST 20, 2013

In addition, we survey the current and emerging technologies and provide a few implementation tips. If something goes wrong, one could need to rerun the system on the problematic data with better logging or with code alternations. The article is based on a research project developed at Grid Dynamics Labs.

Big Data 154

Big Data Processing Lambda Database 154