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.

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 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.

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 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.

Do you have an application that’s a little… sluggish? Cloud Profiler, Google Cloud’s continuous application profiling tool, can quickly find poor performing code that slows your app performance and drives up your compute bill. In fact, by helping you find the source of memory leaks and other errors, Profiler has helped some of Google Cloud’s largest accounts reduce their CPU consumption by double-digit percentage points.

If you’re spending more than you expected on your Kubernetes deployment, you’re not alone. Many Kubernetes operators are experiencing higher Kubernetes costs than what they had predicted. That’s because, like many aspects of Kubernetes, identifying how to manage or lower costs can be challenging. In this article, we provide 5 essential tips for how you can achieve a more cost-efficient Kubernetes deployment.

Logz.io has recently launched its Smart Tiering solution, which gives you the flexibility to place data on different tiers to optimize cost, performance and availability. Our mission has been to make Smart Tiering a multi-cloud and multi-region service. As part of this launch, we are glad to announce that the Historical Tier now supports Microsoft Azure Blob Storage, alongside AWS S3.