AWS disaster recovery strategies In today's interconnected world, business continuity is no longer a luxury but a necessity. Disasters, both natural and man-made, can cripple operations, leading to significant financial losses and reputational damage. To mitigate these risks, organizations are increasingly turning to cloud-based solutions, with Amazon Web Services (AWS) emerging as a preferred platform for disaster recovery (DR) strategies.

Managed service providers (MSPs) are currently facing a critical challenge: efficiently managing and monitoring a diverse array of endpoints for multiple clients. At the core of effective network management is the seamless tracking of customer endpoints. The availability of device templates at the administrative level within Site24x7 is an advantage for many MSPs.

In an era dominated by GenAI technologies, the critical role of robust network infrastructure—the backbone of AI's expansive capabilities—often remains in the shadows. At the heart of this infrastructure lies an intricate array of network devices, including routers, switches, modems, firewalls, wireless access points, etc. These devices, each serving a distinct yet interconnected role, collectively ensure the seamless transmission of data across the network.

Running IT operations in an Australian city council is a complex role that faces a unique set of challenges and opportunities. Typically, a city council in an advanced country like Australia runs its IT on a hybrid model, with a combination of continuing on-premise installations working in tandem with modern cloud platforms, such as Azure.

Outages can't always be prevented, but they can always be mitigated. This is exactly why your sysadmins and SREs have their eyes glued to dashboards and NOC views. A recent example of an outage gone wrong is when Microsoft's own defense systems amplified a DDoS attack due to an inaccurate configuration. In the unfortunate event of an outage, how can your organization ensure minimal disruption? When it comes to a Windows server environment, the answer is Microsoft failover clusters.

Local governments are the bedrock of communities, ensuring a city thrives as a great place to live. Delivering vital services, building and running infrastructure, and ensuring people have adequate access to essential and emergency services alike are some of the top priorities of local governments. In the continent nation of Australia, local governance is carried out through councils that form the third tier of the government and are led by elected officials on 3-4 year terms.

While traditional IT monitoring holds back Australian small and medium-sized enterprises (SMEs) in digital transformation, these organizations do realize that in the realm of IT operations, observability represents a significant advancement over traditional monitoring approaches. Unlike conventional methods that primarily focus on metrics like uptime and error rates, IT observability provides a comprehensive view of system behavior by integrating logs, metrics, traces, and events.

Seamless network performance is the cornerstone of business success. However, network latency—the delay in data transfer initiation—can greatly hinder user experiences, decrease productivity, and even incur financial losses. For businesses aspiring to thrive, it is crucial to address and resolve network latency issues. In this context, network traffic monitoring tools emerge as pivotal solutions.

Drowning in data from complex environments? Ditch the reactive approach. Artificial intelligence for IT operations (AIOps) empowers proactive management with comprehensive observability. According to Gartner, IT spending will continue to mount sky-high despite the global economic instability; the IT expenditure is predicted to surge by 8.6% in 2024. Manual monitoring often fails to keep up with the complexity of modern IT environments, leaving critical issues undetected.

Virtual machines (VMs) deliver flexible, scalable, and cost-effective computing solutions for businesses of all sizes. Microsoft Azure offers efficient and powerful VMs, but as infrastructures boom, the computing environment tries to accommodate the increased demands of the infrastructure. As VM demand increases, it can impact their performance and disk operations. This leads to performance degradation, storage fragmentation, capacity constraints, and increased risk of disk failure.