Monitoring
Every few years, the cybersecurity industry adopts a new buzzword. "Zero Trust" has endured longer than most — and for good reason. Its promise is simple: trust nothing by default, verify everything continuously. Yet many organizations still hesitate to implement Zero Trust Network Access (ZTNA). The problem isn't that ZTNA doesn't work. It's that it's often misunderstood ...
The rise of hybrid cloud environments, the explosion of IoT devices, the proliferation of remote work, and advanced cyber threats have created a monitoring challenge that traditional approaches simply cannot meet. IT teams find themselves drowning in a sea of data, struggling to identify critical threats amidst a deluge of alerts, and often reacting to incidents long after they've begun. This is where AI and ML are leveraged ...
Traditional monitoring often stops at uptime and server health without any integrated insights. Cross-platform observability covers not just infrastructure telemetry but also client-side behavior, distributed service interactions, and the contextual data that connects them. Emerging technologies like OpenTelemetry, eBPF, and AI-driven anomaly detection have made this vision more achievable, but only if organizations ground their observability strategy in well-defined pillars. Here are the five foundational pillars of cross-platform observability that modern engineering teams should focus on for seamless platform performance ...
Collaboration tools have become the backbone of modern business ... Yet despite this central role, collaboration performance remains one of the most poorly monitored aspects of enterprise IT. The issue isn't a lack of investment in tooling. Most organizations have performance dashboards, application uptime metrics, and usage analytics. What they often lack is insight into the actual experience users have when trying to collaborate in real time ...
Performance issues in today's digital workplace aren't always what they seem. The traditional definition, slow load times or delayed responses, is no longer enough. In reality, what users experience as "slowness" often stems from a complex mix of overlooked bottlenecks, inconsistent access, and poorly optimized infrastructure ... Here are five performance failures that rarely show up in standard dashboards but silently drag down engagement and output across modern teams ...
The observability landscape has transformed dramatically over the past decade. What began as traditional application performance monitoring (APM) has evolved into something more sophisticated and deeply essential to business operations. As we look at where the industry is headed, three themes have emerged that will define the future of how organizations monitor and manage their digital infrastructure ...
The biggest change in Cloud Managed Services 2.0 is how it unites domains that once operated in isolation. CloudOps, FinOps, DevOps, SecOps, and AIOps now work as a single, cohesive team instead of separate departments competing for resources and priorities. This matters because modern businesses operate at a pace that leaves traditional methods behind ...
The line between work and life is blurring faster than ever. A recent Microsoft study revealed that 40% of employees check emails before 6 a.m., and evening meetings have risen by 16% since the shift to remote work began. The result? A new phenomenon many are calling the "infinite workday." While the psychological toll of this always-on culture has rightfully received attention, there's another, often-overlooked dimension: its impact on IT performance, digital access, and user experience ...
JVM monitoring is crucial for java-based environments, to gain visibility into the performance and operations of VMs. It helps them understand the behavior of KPIs like memory and CPU utilization, threads, and garbage collection. These insights help administrators identify performance anomalies, locate erroneous corners in JVM environments, and fix ailments that cause issues like application downtime, unavailable services, data request saturation, and slow servers ...
Despite how critical digital experience can be for financial institutions, Catchpoint's 2025 Banking Website Performance Benchmark Report reveals a surprising reality: only 25% of global banks deliver homepage load times under three seconds. That means 75% are falling short of customer expectations ...
Observability truly offers a wealth of capabilities that reach far beyond what we traditionally expect from APM. While APM excels at meticulously tracking application metrics and promptly alerting us when things go awry, observability empowers our teams to delve much deeper ...
While both aim to enhance system performance and reliability, observability offers a broader, more holistic approach and is designed for today's complex, distributed systems, as opposed to traditional, application-specific monitoring with APM ...
One of the key questions this APMdigest series seeks to answer: Is APM still relevant, or is it being replaced by Observability tools? APM remains a vital tool in the shed; it hasn't been replaced by observability ...
Application Performance Management (APM) and Observability are two of the most important tools in the ITOps and development toolboxes. Yet there seems to be confusion about them. What is the difference between APM and Observability? Does each offer different capabilities or serve different use cases? Do you need both, or is one enough? These are the questions this epic 12-part APMdigest series will attempt to answer over the next few weeks ...
Apache Cassandra is loved for its scalability and flexibility. The capacity to handle large volumes of unstructured data and no single point of failure has made it a favorite among modern database solutions. But as functional as it may be, it comes with significant architectural complexity. Without complete visibility into your infrastructure, one blind spot can cause serious issues — downtime, or worse, critical app failures ...
According to an analysis from 130 enterprise organizations using the BigPanda platform, the Monitoring and Observability Tool Effectiveness for IT Event Management report, the average enterprise sends 9.6 million observability events annually to the platform, but fewer than 1 in 5 are ever acted upon ...
Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...
As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...
Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...
The power of Kubernetes lies in its ability to orchestrate containerized applications with unparalleled efficiency. Yet, this power comes at a cost: the dynamic, distributed, and ephemeral nature of its architecture creates a monitoring challenge akin to tracking a constantly shifting, interconnected network of fleeting entities ... Due to the dynamic and complex nature of Kubernetes, monitoring poses a substantial challenge for DevOps and platform engineers. Here are the primary obstacles ...
Traditional network monitoring, while valuable, often falls short in providing the context needed to truly understand network behavior. This is where observability shines. In this blog, we'll compare and contrast traditional network monitoring and observability — highlighting the benefits of this evolving approach ...
AWS is a cloud-based computing platform known for its reliability, scalability, and flexibility. However, as helpful as its comprehensive infrastructure is, disparate elements and numerous siloed components make it difficult for admins to visualize the cloud performance in detail. It requires meticulous monitoring techniques and deep visibility to understand cloud performance and analyze operational efficiency in detail to ensure seamless cloud operations ...
In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 3 covers OpenTelemetry, DevOps and more ...
The Holiday Season means it is time for APMdigest's annual list of predictions, covering IT performance topics. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how Observability, APM, AIOps and related technologies will evolve and impact business in 2025 ...