A few days ago I received an inquiry about a scripting problem from one of our longtime partners, to be exact our DCP Marc Handel from IT unlimited AG. In the exchange with Marc I realized that his idea to use the Enterprise Alert Scripting Host, the Windows Task Scheduler and CheckMK to realize a roundtrip monitoring could be interesting for the whole community. Especially for all our CheckMK customers.

The impact of 2020 and the COVID-19 pandemic collectively upended customer behavior with sweeping and immediate changes that we are still feeling the effects of now. As a result people have been forced to live and work differently, which has had a direct impact on consumption patterns and shopping habits. Consumers have for example been displaced from their traditional in-person experiences.

Everyone has heard about the 3 AM wakeup call, but what about those troublesome issues that dig at your team and eat away at your SLA hours? Hard-to-diagnose issues can strike at any time. They leach from your team, hurt morale, impede the customer experience… it’s just a whole mess. These kinds of incidents are ones that test what “response” really means to your organization, as fixing them is not always a simple task. Something has gone wrong.

Site reliability engineers (SREs) are involved in scaling systems and making them reliable and efficient for organizations. But SREs often fail to build system resiliency when they do not have the right tools at their disposal. In this post, we’ll uncover five leading tools that SREs can use to drive the reliability and stability of computing systems. It also examines how SREs can use the tools to improve operations tasks and infrastructure processes.

We would like to thank our loyal customers for the numerous reviews of SIGNL4! We are excited that you share your opinion on various rating platforms with other people and support us.

This has been quite the summer to remember as we continue to witness our customers achieve remarkable efficiencies through automation such as deep integrations with change pipelines to suppress alerts during maintenance windows and correlating alerts to create incidents with dynamic and evolving descriptions that dramatically improve Incident management processes.

People’s involvement has been inevitable with log management despite advancements in ITOps. Log management at a high level collects and indexes all your application and system log files so that you can search through them quickly. It also lets you define rules based on log patterns so that you can get alerts when an anomaly occurs. Log management analytics solution leveraging RDA has been able to detect anomalies and aid predictive models over a machine learning layer.

In the first post of this series, we covered the general idea and benefits of model-driven observability with Juju. In the second post, we dived into the Juju topology and its benefits with respect to entity stability and metrics continuity. In this post, we discuss how the Juju topology enables grouping and management of alerts, helps prevent alert storms, and how that relates with SRE practices.

These days, I keep encountering inquiries from various customers on the topic of call handling. Due to the current transformation, triggered by the increased use of home offices, it is becoming more and more important to make on-call staff more accessible. Often the already overloaded service desk is used for this purpose. Of course, this leads to a) a deterioration in the quality of the service desk and b) delays between the receipt of the problem and the start of problem resolution.