Toolchains are complicated these days - developers and engineering managers are working with more tools than they probably care to count. In order to work efficiently in today’s world, it is essential to have smart integrations in place that bridge the gap between your tools to get you what you need, faster.
Monitoring and troubleshooting; unfortunately, these terms are still used interchangeably, which can lead to misunderstandings about data collection strategies. In this article we aim to clarify some important definitions, processes, and common data collection strategies for monitoring solutions. We will specify the limitations of the described strategies, as well as key benefits which can potentially be also used for troubleshooting needs.
Stateful, commonly monolithic, and absolutely fundamental to system design, the quality of your database administration and operation is a key determinant of your overall success. Databases are the cornerstone of modern architecture, requiring constant effort, investigation, and iteration to get the most out of a database. This makes it all the more terrifying when an outage occurs.
The 1.7 release of the Splunk App for Content Packs comes with a slew of new awesomeness for the Content Pack for ITSI Monitoring and Alerting designed to bolster your IT operations team’s visibility and AIOps posture! Previous versions of the content pack focused on making it easy for you to create and group Notable Events from ITSI Services and third-party monitoring tools.
Technically speaking, observability offers visibility into the data being generated by your infrastructure devices, systems, and applications — but in reality, it offers the opportunity to see what’s happening, There’s no guarantee that you’ll get what you want; you have to set things up in a way that makes it possible for you to get the insights you need.
Over the last couple of years, Kubernetes (often called K8s) has become the most popular and well-known container orchestration system for automating application deployment, scaling, and management. Scheduling containers at scale in a cloud-native ecosystem is central to the technology. Kubernetes itself is an open-source project, and as such presents challenges for many enterprises especially in regulated industries with strong security requirements and formal SLA commitments.
A prelude to our upcoming six-part Observability Maturity Model Fundamentals blog series. By Lodewijk Bogaards At StackState, we have spent eight years in the monitoring and observability spaces. During this time, we have spoken with countless DevOps engineers, architects, SREs, heads of IT operations and CTOs, and we have heard the same struggles over and over.
It’s no secret that CI/CD pipelines make the lives of engineering and operations easier by accelerating the feedback loop for higher quality code and apps. They build code, run tests, and safely deploy new versions of your application. But just like any aspect of development, poor integration, invisible bottlenecks, and bugs can plague your pipelines. And debugging them? Well, it’s complicated.
