Lumigo uses IntelliJ IDEs everywhere. The back-end developers love their PyCharm and us frontend developers use WebStorm all the time. No doubt that it’s one of the most popular IDE’s out there. One of the perks at Lumigo is that as employees, we can use 10% of our working time to invest in personal projects or do cool things for self-development and innovation.

Since its emergence in the mid-2000s, the cloud computing market has evolved significantly. The benefits of reliability, scalability, and reduced set-up costs have created a demand to fuel an ever-growing range of “as-a-service” offerings, resulting in an option to suit most requirements. But despite the advantages, the question of cloud or on-premise remains valid.

On May 11th, at Intel Vision, Densify won Intel Partner of the year for Software Innovation. This award recognizes the impact of our jointly developed offering: Intel Cloud Optimizer (ICO). <="" a=""> Working with Intel we launched a program for enterprise customers that combines Densify analytics software and Intel expert guidance to help match customer workloads with the cloud instances that enable the best performance at the lowest possible cost.

AWS Cost Explorer is one of the core pillars of AWS cloud financial management. It helps collect resource consumption data and associated cost information across multiple AWS services. Cost Explorer then helps visualize all of this data in one dashboard to ease cost management. You can then analyze, understand, and share cloud cost data with various parties. Cost Explorer is also ideal for companies that have simple cloud billing — and it's free with an AWS subscription.

After creating your Logz.io account, the first step for onboarding is to send you log, metric, and trace data. Logz.io makes this flexible – allowing for multiple ways to get data into your Logz.io account depending on your use case and technology stack. Today, we’re excited to announce another easy and fast way to get AWS metric data into Logz.io: by setting up a CloudWatch metrics stream and a Kinesis Firehose.

Microservices are a popular architectural style for building applications that are resilient, highly scalable, independently deployable, and able to evolve quickly. But a successful microservices architecture requires a different approach to designing and building applications. A microservices architecture consists of a collection of small, autonomous services. Each service is self-contained and should implement a single business capability within a bounded context.

Early on in our journey as a company, CloudZero split with legacy data architecture, migrating to Snowflake and opening up a world of resource flexibility. With the centralized, limitless processing power that Snowflake provided, our team could focus more energy on value-added work, less on managing inefficiencies. With a rapidly expanding customer base, Snowflake allowed us to maintain peak velocity, scaling without running into storage-based slowdowns.

As many of you may have read, Amazon has released C7g instances powered by the highly anticipated AWS Graviton3 Processors. As we shared at re:Invent 2021, we had the chance to take a little sneak peek under the Graviton3 hood to find out what even more performance will mean for Honeycomb and our customers.

IDC recently conducted a study of Spot by NetApp customers exploring the value and benefits of using Spot to manage and optimize their cloud resources. They discovered that Spot customers are realizing significant value in terms of ROI, more productive DevOps teams, as well as faster deployments and time to market.