The adoption of cloud-based solutions has become increasingly common. The proof for this is evident – according to Gartner, Inc., the worldwide public cloud services market is expected to grow by 6.3% in 2020, up to a staggering $257.9 billion in value. The Flexera 2020 State of the Cloud Report, released on April 28, 2020, states that more than 90% of respondents have adopted cloud computing, with the top three cloud service providers being – AWS, Azure, and Google Cloud Platform.

Centralized Log Management offers the visibility you need to optimize your cloud usage to keep infrastructure costs down. Cloud-first infrastructures are the future of modern business operations. As organizations like Google and Twitter announce long-term plans for enabling a remote workforce, maintaining a competitive business model includes scaled cloud services adoption. While the cloud offers scalability that can save money with pay-as-you-need services, managing the costs is challenging.

Recently, I saw a video from a really great developer and YouTuber, Ben Awad, where he discussed Serverless not make any sense. Even though I really enjoyed the video, I am not sure if the author’s points about serverless are entirely valid, and I want to discuss them in this article.

Yup – we've now got a health explorer for Azure VMs! Health Explorer… now why does that sound familiar? You’ve probably guessed it by now, but here’s another hint: Hmm…now where have I seen that before? Right – in SCOM!

Work, education, and even many of our leisure activities have all moved on-line at an incredible pace due to current social distancing mandates. The digital backbone of the Internet and the SaaS services that drive our personal and professional lives are now foundational. Ensuring that these systems are operating optimally and securely is of paramount importance.

Spot by NetApp’s Ocean continuously optimizes Kubernetes clusters with a wide feature-set tackling different aspects of running and managing Kubernetes containers in a cloud environment. One such aspect are the container resource requests defined in the cluster (upon which Ocean intelligently bin-packs pods on the underlying cloud VMs). Incorrect assumptions regarding the CPU and Memory required for an application, can incur unnecessary and costly cloud infrastructure waste.

At first glance, all serverless monitoring services seem similar and aim to solve the same problems. However, in Dashbird, we have made decisions that fundamentally differentiate us from our competitors since day one. Over time, those differences have magnified and we have found increasing confirmation and confidence in our approach. Dashbird product strategy is based on three core pillars.

AWS AppSync is a fully managed GraphQL service that makes it easy for you to build scalable and performant GraphQL APIs without having to manage any infrastructure! With AppSync, you get a lot of capabilities out of the box. Such as the ability to integrate directly with DynamoDB, ElasticSearch, Aurora Serverless, and Lambda. AppSync also supports both per-request as well as per-resolver caching and has built-in integration with CloudWatch and X-Ray.

Microsoft Azure has become the go-to cloud computing service for over 95% of Fortune 500 companies—and for good reason. Azure’s flexible and scalable cloud environment offers a secure off-premises solution for your business IT infrastructure, without the need to manage physical servers in your changing IT infrastructure. Azure allows you to manage servers, databases, applications, and more, all from one of Microsoft’s secure global cloud storage sites.

AWS Lambda is a serverless compute service that runs your code in response to events and automatically manages the underlying compute resources for you. The code that runs on the AWS Lambda service is called Lambda functions, and the events the functions respond to are called triggers. Lambda functions are very useful for log collection (think of log arrival as a trigger), and Coralogix makes extensive use of them in its AWS integrations.