Operations | Monitoring | ITSM | DevOps | Cloud

As many of us are rediscovering an interest in board games, it feels relevant to make reference to Hasbro’s classic Clue. Understanding what’s going right or wrong in your sprawling digital business can feel a lot like a murder mystery: it was the authentication service in the east region with the memory exhaustion error. This analogy has a weakness when applied to modern operations. The Clue board game had 6 weapons, 6 suspects, and 9 rooms. That’s 324 combinations.

The use of Serverless execution models is expanding extremely rapidly and cloud providers are continuing to enhance their platforms. Per Flexera’s “State of the Cloud” report: Leading this trend for the last two years, Amazon has released a few features that address AWS Lambdas’ pain points and make them a more feasible choice for large scale deployments consisting of numerous applications.

We are happy to present the Serverless360 release update for Q1 of 2020. The first massive release for the Q1 in February 2020 included the most awaited Business Activity Monitoring along with dashboards for Logic App and Function App and few other useful enhancements. It is so encouraging to find Business Activity Monitoring meeting requirements of customers to attain end-to-end message visibility on their business workflow.

You deployed a service to your Kubernetes cluster. How do you it is working as expected? In this blog, Gigi Sayfan, author of “Mastering Kubernetes” talks about Kubernetes observability tools like Prometheus, Grafana and Jaeger, how to utilize them to set proper SLOs and make sure the service meets its objectives.

In this article, we’ll learn about the Elasticsearch flattened datatype which was introduced in order to better handle documents that contain a large or unknown number of fields. The lesson examples were formed within the context of a centralized logging solution, but the same principles generally apply. By default, Elasticsearch maps fields contained in documents automatically as they’re ingested.

One of the most common dashboards for metric visualization and alerting is, of course, Grafana. In addition to logs, we use metrics to ensure the stability and operational observability of our product. This document will describe some basic Grafana operations you can perform with the Coralogix-Grafana integration. We will use a generic Coralogix Grafana dashboard that has statistics and information based on logs. It was built to be portable across accounts.

We’re back with part two of our three-part blog series on living-off-the-land attacks. If you missed part one, you can read it here. In a nutshell, living-off-the-land (LOTL) refers to a type of attack where the attacker uses the tools and features that already exist in the target environment to carry out malicious activities. The concept of LOTL is not new, but LOTL and file-less attacks have been gaining popularity over the last few months.

The Azure Functions team has yet again joined us for another monthly live webcast by staying remote and safe. In this live webcast, along with Jeff Hollan, Anirudh Garg and Sonia from Engineering team joined us to give a picture on the latest happenings in Azure Functions space. Without any further delay, let us jump in as there are tons of update are awaiting.

Dashboards should be easy to build and provide powerful insights. Our magic dashboards are already created automatically, so you don’t have to spend any time setting up these dashboards yourself. Many developers started tracking custom metrics that were unique to their applications. From these metrics, you can create custom dashboards and add triggers to get notified if values go outside of your desired range.