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Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail

Dynatrace

The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously. Teams have introduced workarounds to reduce storage costs. Stop worrying about log data ingest and storage — start creating value instead. And this expansion shows no sign of slowing down.

Analytics 240
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Reducing PostgreSQL Costs in the Cloud

Percona

Think of a gaming company that creates a game that is getting popular, so the number of resources needed to support more users would increase considerably. But if the game loses popularity, the server would become over-provisioned, and the resources allocated must be re-sized to better fit the application’s needs.

Cloud 116
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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

Cloud observability is central to platform engineering The uptick in digital transformation initiatives has created a drive for scalability among global organizations. The platform engineer role: A game-changer or just hype? What is this new discipline, and is it a game-changer or just hype?

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Stuff The Internet Says On Scalability For June 22nd, 2018

High Scalability

Each drone is rated with a game mechanic and gets special privileges based on performance (just kidding). Xtracerx : for me the biggest value to serverless functions is how nicely they tie in to the ecosystem of a cloud provider. using them to respond to storage events on s3 or database events or auth events is super easy and powerful.

Internet 113
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A one size fits all database doesn't fit anyone

All Things Distributed

As I have talked about before, one of the reasons why we built Amazon DynamoDB was that Amazon was pushing the limits of what was a leading commercial database at the time and we were unable to sustain the availability, scalability, and performance needs that our growing Amazon.com business demanded. The opposite is true.

Database 167
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Expanding the Cloud: Amazon Machine Learning Service, the Amazon Elastic Filesystem and more

All Things Distributed

Amazon ML is highly scalable and can generate billions of predictions, and serve those predictions in real-time and at high throughput. AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Details on the AWS Blog. The Amazon Elastic File System. for a while already.

Lambda 122
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The Cloud is Not a Railroad - An Argument Against the Vertical Separation of Cloud Providers

High Scalability

What it means to be cloud-native has gone through several evolutions: VM to container to serverless. The disincentive to game service pricing levels in order to create short-term profits at the expense of long-term investment will be overwhelming. Each cloud-native evolution is about using the hardware more efficiently.

Cloud 187