Dynatrace

JULY 7, 2022

Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions. Additionally, typical SOA models use larger relational databases. Service mesh. Real user monitoring (RUM). Auto-discovery.

Architecture 189

Architecture Serverless Azure Programming 189

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. These functions can connect with supported cloud databases, such as Cloud SQL and Bigtable. GCF use cases.

Google 211

Google Cloud Serverless Azure 211

The Netflix TechBlog

JULY 30, 2019

The Netflix Media Database (NMDB) is one such example. Instead, we use a wrapper that pulls in the latest version of Conductor and adds Netflix infrastructure components and libraries before deployment. Metadata persistence implementation is not available yet and is something we are looking to add soon. As such, Conductor 2.x

Lambda 189

Lambda Media Open Source Metrics 189

Adrian Cockcroft

JANUARY 29, 2023

A later version of the slides is included in my Microservices Workshop deck from later that year, slides 168–200 ( pdf , keynote are available in GitHub.com/adrianco/slides ). > system.time(wait1 <- normalmixEM(waiting, mu=c(50,80), lambda=.5, > system.time(wait1 <- normalmixEM(waiting, mu=c(50,80), lambda=.5,

Lambda 98

Lambda Latency Cache C++ 98

The Netflix TechBlog

MAY 21, 2019

Choose the most promising subset of tests out of thousands of test cases available when running continuous integration against a device. We needed a way to run agents and tie the runs to the internal infrastructure for analytics, reporting, and visualizations. The agent training library is written in Python and supports versions 2.7,

Testing 163

Testing AWS Lambda Network 163

IO River

NOVEMBER 2, 2023

The code is declarative, which means you specify what you want the final configuration to look like, and Terraform ensures the infrastructure matches that desired state.‍So, ‍Terraform is a revolution in the way we handle infrastructure. Background‍The idea of managing infrastructure through code wasn't initiated by HashiCorp.

Open Source 52

Open Source DevOps AWS Infrastructure 52

IO River

NOVEMBER 2, 2023

The code is declarative, which means you specify what you want the final configuration to look like, and Terraform ensures the infrastructure matches that desired state.‍So, What Exactly is Terraform?‍Terraform Terraform is a revolution in the way we handle infrastructure. This level of granularity is not found in UI-managed systems.

Open Source 40

Open Source DevOps AWS Infrastructure 40

The Symphonia

MARCH 14, 2018

The general goal of SAR is to make it easier to distribute, and consume, applications that have been developed using AWS Serverless products, like Lambda. There are a plethora of deployment tools now available, from the original community-produced Serverless Framework , through to Amazon’s own Serverless Application Model (SAM).

Serverless 40

Serverless AWS Lambda Open Source 40

Strategic Tech

JULY 21, 2020

remember, it’s not a waterfall project Tools and Techniques There are plentiful tools and techniques available to you in your modernisation initiative. Platform Architecture Your new architecture will need to be executed on infrastructure. both the infrastructure technology (e.g. no shared databases).

Architecture 98

Architecture Design Software Architecture Strategy 98

Enprowess

JANUARY 12, 2022

24*7 Availability : Chatbots are available 24×7 and can respond to your customer’s queries as fast as possible. A Directory of 24000 APIs is available on Programmableweb.com to integrate into any business application. Serverless Computing – AWS Lambda – Amazon Web Services. Image Source. API- First Approach.

Blockchain 59

Blockchain IoT Development Serverless 59

All Things Distributed

JULY 14, 2015

I am excited to share with you that today we are expanding DynamoDB with streams, cross-region replication, and database triggers. Streams provide you with the underlying infrastructure to create new applications, such as continuously updated free-text search indexes, caches, or other creative extensions requiring up-to-date table changes.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

APRIL 9, 2015

Amazon ML uses powerful algorithms that can help you create machine learning models by finding patterns in existing data, and using these patterns to make predictions from new data as it becomes available. AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Amazon Lambda.

Lambda 122

Lambda Cloud IoT AWS 122

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift.

Cloud 137

Cloud Big Data AWS Analytics 137

All Things Distributed

OCTOBER 12, 2016

Fast Data is an emerging industry term for information that is arriving at high volume and incredible rates, faster than traditional databases can manage. While caching continues to be a dominant use of ElastiCache for Redis, we see customers increasingly use it as an in-memory NoSQL database. Building upon Redis.

Scalability 130

Scalability Analytics Cache AWS 130