Using the cloud reduces on-premises infrastructure costs and related maintenance. Instead of deploying more servers, storage, and networking components to your own datacenter, you are now deploying these as cloud resources. Using the cloud is supposed to reduce infrastructure and maintenance costs. However, deploying cloud resources also risks over-commissioning, under-usage, and keeping resources running that are not always needed or, even worse, no longer in use.

As an AWS Advanced Technology Partner with AWS Containers Competency, Tigera is thrilled to announce that Calico and Calico Enterprise are both now available as AWS Quick Starts. If you’re unfamiliar with the concept, an AWS Quick Start is a ready-to-use accelerator that fast-tracks deployments of key cloud workloads for AWS customers.

Should you run big data workloads on Kubernetes? Not so long ago, most people would have said certainly not. Among the reasons you might have heard: Although early adoption of Kubernetes was dominated by stateless services rather than data-centric applications, more and more teams responsible for big data platforms are now looking to adopt Kubernetes, especially those looking to deploy and operate big data workloads in the cloud.

As with many things in 2020, this year’s AWS re:Invent was quite different from any previous iterations. For starters, instead of a week of live talks, face-to-face sessions, and a room full of booths, this year the event was fully online and stretched out for three weeks. As sponsors of this year’s event, we were excited to participate and continue to make an impact on the AWS community.

In this article, we’ll be discussing everything you need to know about the basics of AWS Lambda error handling and some popular methods using StepFunctions and X-Ray. Regardless if you’re an AWS Lambda expert or if you’re a new Lambda user, there’s always something new to learn.

For developers and programmers, Amazon Web Services (AWS) offers many benefits. It gives you access to the computing and DevOps tools you need at the press of a button — which helps you get products out the door fast. However, it can be challenging to control your costs and identify waste. In this comprehensive guide, we will examine some practical steps you can take for AWS cost optimization.

In our last blog, "What's New in Splunk Cloud: Part 1," we reviewed a host of new Splunk Cloud features that we have delivered through our accelerated releases since the beginning of 2020. A large part of this effort focused on empowering Splunk Cloud admins and making their experience as self-service as possible. In this blog, we will examine our latest effort to continue this empowerment: Splunk Cloud’s Admin Configuration Service (ACS).

Elastic Cloud puts the power of the Elastic Stack in your hands within minutes. Whether you’re trying to add search capabilities with Elastic Enterprise Search, monitor critical systems and applications with Elastic Observability, or protect your organization from cyber threats with Elastic Security, taking the first step is easy.

Among all the new features and services that AWS announced during the re:Invent 2020, my favorites were definitely the AWS Lambda updates. And there were many! For example, your code execution is no longer rounded up to the nearest 100ms of duration for billing — you are now billed on a per millisecond. On top of that, AWS increased the Lambda’s memory capacity to 10 GB, and correspondingly the CPU capacity up to 6 vCPUs.

There is no doubt that organizations have a difficult task to address the current requirements for building and managing APIs, especially if they don’t use tools like API Management. APIs require up-to-date and strong documentation, increased security levels, comprehensive testing, routine versioning, and high-reliability to be appropriately utilized.