Operations | Monitoring | ITSM | DevOps | Cloud

Building Automated Monitoring with Icinga and SIGNL4

How many servers can be managed by one system administrator? This question is not an easy one since it definitely depends on the tasks that need to be operated. However, it´s quite clear that the amount of servers one engineer can manage has increased enormously over time, and is still growing. Yet, public and private clouds, combined with automation tools, enable us to automate many daily tasks. In a modern IT infrastructure almost everything can, and should, be automated.

A CISO's Guide to Log Management for Cybersecurity

In today’s highly interconnected worlds, CISOs face a dual challenge: protecting data and reporting to the Board of Directors. Log management has long been a tool in the CISO’s back pocket, helping gain insight into potential security issues. However, the rise of cloud-based infrastructures changes this, making log management increasingly difficult.

IoT Data With LogDNA

Consider the following question: Why do most teams face pressure to rethink traditional logging and observability approaches? Asking this question to most engineers would likely result in answers centered on the challenges posed by microservices apps. Because microservices are more complex than monoliths and involve more moving parts, they require more sophisticated, granular log collection, correlation, and analysis.

Common Microsoft Dynamics 365 Implementation Mistakes and How to Avoid Them.

Microsoft Dynamics CRM is an excellent fit for financial services organizations because of its in-depth client insights, reporting capabilities, and integrated compliance. It is critical to select the appropriate partner in order to reap the advantages of these key features and to guarantee that they are successfully implemented.

Top 6 Use Case Examples Driving Automation Adoption

All too often, the Kelverion team hear that businesses are trying to deliver more services with less resource, all whilst meeting tight Service Level Agreements. There are many automation use cases to relieve this pressure, and this article explores the six use case examples driving automation adoption within service management.

How We Automated One Of The World's Largest High-Performance Networks

Our Software Defined Interconnection® platform brings together 1.3 million lines of code with one of the world’s largest global networks. In a recent PacketPushers podcast, PCCW Global’s CTO Paul Gampe and VP of Development and Operations Jay Turner went under the hood of our orchestration engine and shared some exclusive insights into our automation journey so far…

11 Ways to Fix the ERR_CONNECTION_TIMED_OUT Error

When your internet connection times out and you can't access a specific webpage, it's one of the most annoying errors. The message "The webpage not available" ERR_CONNECTION_TIMED_OUT will appear on the screen. This error usually occurs when there is an issue with the internet connection and the website does not load. The name of this error can be seen in the notification on your screen.

Grafana EMEA meetup recap: accessibility, k6 testing, and multi-DC observability stacks

On Oct. 5, we hosted the first Grafana Virtual Meetup for an EMEA-based audience. Each Grafana meetup features “bite-sized” presentations from our user community and members of the Grafana Labs team. We want to provide opportunities (even virtually!) for members of our community to connect with one another and share what they’re working on or have learned.

Google Cloud Monitoring 101: Understanding metric types

Whether you are moving your applications to the cloud or modernizing them using Kubernetes, observing cloud-based workloads is more challenging than observing traditional deployments. When monitoring on-prem monoliths, operations teams had full visibility over the entire stack and full control over how/what telemetry data is collected (from infrastructure to platform to application data).

Smoke testing in CI/CD pipelines

Here’s a common situation that plagues many development teams. You run an application through your CI/CD pipeline and all of the tests pass, which is great. But when you deploy it to a live target environment the application just does not function as expected. You can’t always predict what will happen when your application is pushed live. The solution?