Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

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.

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.

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.

Use cases for the Internet of Things (IoT) range from trucks, to shipping containers, to people, to cows. An organisation’s assets can be mobile, autonomous, even sentient - and the applications for tracking these assets are as limitless as the assets themselves. Analysts have identified asset tracking as the fastest growing industrial IoT market and it is expected that most connected devices will be location aware within the next decade.

The FinOps position, for most SaaS companies, is a relatively recent addition to the team. FinOps acts as a liaison between the Finance and Engineering teams, with the goal of getting everyone on the same page (and speaking the same language) when it comes to setting, optimizing, and sticking to budgets. FinOps and engineering have a special relationship, because engineers are the ones who ultimately make major infrastructure, development, and design choices that impact the cloud bill.

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.

We have completely updated our migration guide from Heroku to AWS. This guide covers everything needed to migrate from Heroku to AWS a complete stack of applications and databases.