Operations | Monitoring | ITSM | DevOps | Cloud

Struggling with the evolving cybersecurity threat landscape often means feeling one step behind cybercriminals. Interconnected cloud ecosystems expand your digital footprint, increasing the attack surface. More users, data, and devices connected to your networks mean more monitoring for cyber attacks. Detecting suspicious activity before or during the forensic investigation is how centralized log management supports cybersecurity.

This blog post discusses some of the best practices for balancing the costs of cloud traffic monitoring while maintaining a reasonable level of visibility. Progress Flowmon 12 has introduced the processing of native flow logs from Google Cloud and Microsoft Azure, plus it has enhanced support for Amazon Web Services (AWS) flow logs.

The global footprint of Microsoft Azure is made up of physical infrastructure of over 200 data centres and connective network components, arranged into regions, and linked by a large interconnected network. Each of the Azure data centres provides high availability, low latency, scalable cloud services close to users to improve reliability and speed. In this blog, we look at the Azure Regions, and explain the benefits of using a direct connection to access Azure infrastructure.

Some background. Having implemented at least 20 or more APM systems in production as an end-user at various companies, and both deployed and managed countless monitoring tools outside APM, I understand the role of the practitioner. Later on, I shifted to Gartner and led the APM Magic Quadrant for four years, finally spending another four years at AppDynamics (operating under Cisco after two years).

Inventory management is not a simple task! Especially because demand and supply keep fluctuating. However, it becomes more hectic when you do all these activities on a manual basis. To avoid inventory management issues, organizations must invest in inventory management software. It is very helpful in inventory optimization. When inventory is optimized, then inventory expenses automatically decrease. With effective asset management software, your organization can perform inventory forecasting.

Race conditions can occur when a multithreaded application accesses a shared resource using over one thread. Unless we have guards in place, the result might depend on which thread “got there first”. This is especially problematic when the state is changed externally. A race can cause more than just incorrect behavior. It can enable a security vulnerability when the resource in question can be corrupted in the right way. A good example of race condition vulnerabilities is mangling memory.

I recently returned from a birthday trip to Napa Valley and got to spend some time with the Shipa Team in Palo Alto during the trip. Grabbing a coffee on my trek back to San Francisco, I overheard someone talking about YAML at the coffee shop and I had to hold back my laugh. You usually do not hear folks talking about YAML out in the public but this is San Francisco. For many engineers, YAML is a way of life.

Almost every company who sets up Grafana as part of an observability or data visualization service has multiple teams, divisions, or customers of their own to serve.

Business leaders and team members face countless decisions every day, some of which are certain to have an impact on the future of a company. Perhaps the most impactful to a SaaS company’s bottom line are financial decisions related to the cloud. Engineers and team leads need to know which cloud architecture choices are worthwhile and which should be scrapped in favor of a more cost effective model.