Dynatrace

SEPTEMBER 17, 2019

PostgreSQL & Elastic for data storage. With the existing notification integrations for tools such as Slack, xMatters, ServiceNow, Lambda, JIRA, you can also pro-actively notify people in case there’s a problem: Dynatrace auto detected a problem with 3 kube proxies. NGINX as an API Gateway. REDIS for caching.

AWS 128

AWS Monitoring Ecommerce Lambda 128

The Morning Paper

AUGUST 29, 2019

Which I’m quite happy to see as my most recent data pipeline is based around Lambda, S3, and Athena, and it’s been working great for my use case. For cost calculations, the costs are a combination of compute costs, storage costs, data scan costs, and software license costs. The design space. Key findings. Serverless o?erings

Architecture 76

Architecture Cloud Storage Serverless 76

The Netflix TechBlog

MAY 21, 2019

To maintain the quality of Lerner APIs, we are using the server-less paradigm for Lerner’s own integration testing by utilizing AWS Lambda. The data can be truncated after each execution and offloaded to a long-term storage for further analysis. The agent training library is written in Python and supports versions 2.7,

Testing 163

Testing AWS Lambda Network 163

The Morning Paper

JUNE 23, 2019

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. Embedded databases such as Apache Derby would also fit here in my mind, although then you still have some marshalling to do.

Cache 79

Cache Latency Google Lambda 79

Enprowess

JANUARY 12, 2022

Other benefits: It has other benefits like a Quicker launch to the market, Easier distribution, saving device power and storage, seamless maintenance, and updating. IBM OpenWhisk, Microsoft Azure, AWS Lambda, and Google Cloud Functions are famous names that provide server-less services. Famous PWA Use Examples. Image Source.

Blockchain 59

Blockchain IoT Development Serverless 59

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time. Interoperability with Hadoop.

Big Data 154

Big Data Processing Lambda Database 154

IO River

NOVEMBER 2, 2023

When you codify infrastructure, you can integrate it with DevOps pipelines to automate various tasks like server provisioning, database scale, and security audits. Whether you're scaling storage solutions like S3 buckets, compute resources like EKS clusters, or content delivery mechanisms via CDNs, Terraform offers a streamlined approach.Â

Open Source 52

Open Source DevOps AWS Azure 52

IO River

NOVEMBER 2, 2023

When you codify infrastructure, you can integrate it with DevOps pipelines to automate various tasks like server provisioning, database scale, and security audits. Whether you're scaling storage solutions like S3 buckets, compute resources like EKS clusters, or content delivery mechanisms via CDNs, Terraform offers a streamlined approach.

Open Source 40

Open Source DevOps AWS Azure 40

All Things Distributed

APRIL 9, 2015

AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Amazon EFS is a fully-managed service that makes it easy to set up and scale shared file storage in the AWS Cloud. With Amazon EFS, there is no minimum fee or setup costs, and customers pay only for the storage they use.

Lambda 123

Lambda Cloud IoT AWS 123

All Things Distributed

JUNE 21, 2018

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167

Database AWS Games Latency 167

All Things Distributed

OCTOBER 7, 2015

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. However, the data infrastructure to collect, store and process data is geared toward developers (e.g.,

Cloud 138

Cloud Big Data AWS Analytics 138

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.

Scalability 131

Scalability Analytics Cache AWS 131