Systems | Development | Analytics | API | Testing

July 2023

Cloud cost management: How to optimize and control cloud expenses

It’s no surprise that cloud spending is rapidly increasing, so it’s also no surprise that controlling those rapidly increasing cloud costs is a top priority for business, technology, and data leaders. According to Gartner, the use of public cloud computing has increased IT spending for most organizations (54%) over the last three years, with only 29% reporting that the cloud decreased IT spending.

Output your k6 metrics to AWS Timestream (k6 Office Hours #96)

What are the different ways to output k6 metrics? In this k6 Office Hours, Developer Advocates Marie Cruz and Paul Balogh are joined by Leon York, a Senior Consultant at InfinityWorks, part of Accenture, to discuss how the xk6-output-timestream extension works, his experiences creating a k6 extension, and more!

Documenting APIs on Amazon API Gateway: Code-First or Design-First, The Choice Is Yours

One of the hardest debates is deciding between a code-first API approach or design-first. In an ideal world, we would deliver our APIs at maximum velocity, with minimum maintenance. To maintain the appropriate API consumption, the world has looked at Amazon’s API Gateway as the orchestration of resources to create, deploy, and manage APIs at scale. One of the biggest challenges users face when using any API Gateway is the lack of consistency and standardization throughout the API experience.

Legacy to Cloud Migration | The Pros and Cons

Evaluating your business’ legacy to cloud migration strategy is a necessary step for successful digital transformation. Legacy systems are old software applications and infrastructure that are still in use by businesses today. They were often built on outdated technologies and may not be compatible with modern cloud platforms. However, legacy systems can also provide a number of benefits, such as stability, reliability, and familiarity.

Delivering High Performance & Security with Hybrid Cloud

When it comes to implementing hybrid cloud architectures, organizations with existing data centers have a couple of options to connect to a cloud provider(s): 1) provision a private network circuit or 2) use a site-to-site virtual private network. There are pros and cons to each option. Option 1 provides better security and higher performance since it is a private link. However, it can be expensive, even more so if a second connection is needed for redundancy.

AWS Redshift vs. The Rest - What's the Best Data Warehouse?

In the age of big data, where humans generate 2.5 quintillion bytes of data every single day, organizations like yours have the potential to harness more powerful analytics than ever before. But gathering, organizing, and sorting data still proves a challenge. Put simply, there's too much information and not enough context. The most popular commercial data warehouse solutions like Amazon Redshift say they deliver structured, usable data for businesses. But is this true?

Enabling gRPC and HTTP/2 support at the edge with Kuma and Envoy

Our thing is to let you deploy your apps globally in less than 5 minutes with high-end performance. Not only does this require us to be meticulous about everything composing our infrastructure layer, but also we have to support high-level protocols like WebSockets, HTTP/2, and gRPC. There are two major things in the infrastructure impacting performance: hardware and network. On the hardware side, we deploy all apps inside microVMs on top of high-end bare metal servers around the world.

Managing Kong Routes in Multi-Cloud Environments

Join Frederik Nakstad and Adelina Simion from Form3 to learn how they use the Kong Ingress Controller to manage service routes on Form3’s multi-cloud platform. You’ll get an overview of Form3’s platform and environment configuration and how they moved from a legacy ECS solution to running Kong in a Kubernetes-native way with the Kong Ingress Controller. This approach provides useful abstractions and makes it easier for the Form3 service teams to configure routes.

How ThoughtSpot Partnered with Google Cloud to put AI at the center of BI

At ThoughtSpot, we believe making data accessible to every knowledge worker requires human-centered technology—an analytics experience that bridges the “language” barrier between technology and people. AI is the perfect compliment to search because it empowers organizations to analyze, understand, and act on data.