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AWS serverless services: Exploring your options

Dynatrace

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Lambda functions can be written in the language of your choice, and the service also supports container tools. AWS Step Functions: Step Functions focuses on orchestration.

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AWS EKS Monitoring as a Self-Service with Dynatrace

Dynatrace

REDIS for caching. 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. Their technology stack looks like this: Spring Boot-based Microservices.

AWS 128
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Top 9 web development trends to expect in 2022

Enprowess

So it is convenient for all to use irrespective of internet speed and it works offline using cached data. Offers Easy Navigation & Seamless User Experience: Single page app has a simple design, and it delivers an experience like a desktop or mobile app. Users do not have to click on many links. Voice Search Technology.

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Embrace event-driven computing: Amazon expands DynamoDB with streams, cross-region replication, and database triggers

All Things Distributed

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
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In-Stream Big Data Processing

Highly Scalable

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. High performance and mobility.

Big Data 154
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A one size fits all database doesn't fit anyone

All Things Distributed

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
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Accelerating Data: Faster and More Scalable ElastiCache for Redis

All Things Distributed

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.