Observability
This year 2023, at a macro level we are moving from an inflation economy to a recession and uncertain economy and the general theme is certainly going to be "Doing More with Less" and "Customer Experience is the King." Let us examine what trends and technologies will play a lending hand in these circumstances ...
As companies generate more data across their network footprints, they need network observability tools to help find meaning in that data for better decision-making and problem solving. It seems many companies believe that adding more tools leads to better and faster insights ... And yet, observability tools aren't meeting many companies' needs. In fact, adding more tools introduces new challenges ...
Driven by the need to create scalable, faster, and more agile systems, businesses are adopting cloud native approaches. But cloud native environments also come with an explosion of data and complexity that makes it harder for businesses to detect and remediate issues before everything comes to a screeching halt. Observability, if done right, can make it easier to mitigate these challenges and remediate incidents before they become major customer-impacting problems ...
APMdigest and leading IT research firm Enterprise Management Associates (EMA) are teaming up on the EMA-APMdigest Podcast, a new podcast focused on the latest technologies impacting IT Operations. In Episode 1, Dan Twing, President and COO of EMA, discusses Observability and Automation with Will Schoeppner, Research Director covering Application Performance Management and Business Intelligence at EMA ...
As demand for digital services increases and distributed systems become more complex, organizations must collect and process a growing amount of observability data (logs, metrics, and traces). Site reliability engineers (SREs), developers, and security engineers use observability data to learn how their applications and environments are performing so they can successfully respond to issues and mitigate risk ...
Industry experts offer thoughtful, insightful, and often controversial predictions on how APM, AIOps, Observability, OpenTelemetry and related technologies will evolve and impact business in 2023. Part 2 covers more on observability ...
The Holiday Season means it is time for APMdigest's annual list of Application Performance Management (APM) predictions, covering IT performance topics. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how APM, observability, AIOps and related technologies will evolve and impact business in 2023. Part 1 covers APM and Observability ...
There are many issues that can contribute to developer dissatisfaction on the job — inadequate pay and work-life imbalance, for example. But increasingly there's also a troubling and growing sense of lacking ownership and feeling out of control ... One key way to increase job satisfaction is to ameliorate this sense of ownership and control whenever possible, and approaches to observability offer several ways to do this ...
The need for real-time, reliable data is increasing, and that data is a necessity to remain competitive in today's business landscape. At the same time, observability has become even more critical with the complexity of a hybrid multi-cloud environment. To add to the challenges and complexity, the term "observability" has not been clearly defined ...
A unified view of digital infrastructure is essential for IT teams that must improve the digital user experience while boosting overall organizational productivity, according to a survey of IT managers in the United Arab Emirates (UAE), from Riverbed and market research firm IDC ...
Building the visibility infrastructure to make cloud networks observable is a complex technical challenge. But with careful planning and a few strategic decisions, it's possible to appropriately design, set up and manage visibility solutions for the cloud ...
Gartner announced the list of 10 top strategic technology trends that organizations need to explore in 2023, and two technologies in particular will be of special interest to APMdigest readers: Applied Observability and Digital Immune System ...
If you work in an IT organization, you've likely heard the term "observability" lately. If you're a DevOps pro, you probably know exactly what vendors are talking about when they use the term. If you're a NetOps pro, you might be scratching your head ...
After reading the seven previous parts of APMdigest's A Guide to OpenTelemetry, you may be convinced that OTel is the right path your organization. It may be inevitable ... APMdigest asked several industry experts for their advice on getting started ...
VMware's 2022 State of Observability found that companies are still grappling with increasing complexity and a lack of visibility — with 97% reporting challenges in their ability to monitor cloud application environments. In this blog, I'll outline key takeaways, including how cloud-native apps have rapidly grown in complexity, why the perception of observability has shifted, and what challenges still need to be addressed ...
Users have high expectations around applications — quick loading times, look and feel visually advanced, with feature-rich content, video streaming, and multimedia capabilities — all of these devour network bandwidth. With millions of users accessing applications and mobile apps from multiple devices, most companies today generate seemingly unmanageable volumes of data and traffic on their networks ...
In this second part of the blog series, we look at how adopting AIOps capabilities can drive business value for an organization ...
The findings of the 2022 Observability Forecast offer a detailed view of how this practice is shaping engineering and the technologies of the future. Here are 10 key takeaways from the forecast ...
Artificial Intelligence for IT Operations (or AIOps for short) continues to be a hot topic among developers, SREs, or DevOps professionals. The case for AIOps is especially crucial given the expansive nature of today's observability efforts across hybrid and multi-cloud environments. As with most observability challenges, AIOps starts with telemetry data: metrics, logs, traces, and events ...
IT teams feel overwhelmed by too many tools that do not provide a unified view of the entire IT infrastructure, according to The Shift to Unified Observability: Reasons, Requirements, and Returns, a new independent survey conducted by IDC in collaboration with Riverbed ...
In the DevOps world, observability is trumpeted and lauded in many corners. However, in reading much of the coverage, there seemed to be some more fundamental issues at play. It's time to demystify the idea of observability, shedding light on what it means in a broader context. And once we break down the concept and its true value to an organization, let's answer a more important question: Are we approaching an observability tipping point? ...
Digital businesses don't invest in monitoring for monitoring's sake. They do it to make the business run better. Every dollar spent on observability — every hour your team spends using monitoring tools or responding to what they reveal — should tie back directly to business outcomes: conversions, revenues, brand equity. If they don't? You might be missing the forest for the trees ...
Every day, companies are missing customer experience (CX) "red flags" because they don't have the tools to observe CX processes or metrics. Even basic errors or defects in automated customer interactions are left undetected for days, weeks or months, leading to widespread customer dissatisfaction. In fact, poor CX and digital technology investments are costing enterprises billions of dollars in lost potential revenue ...
Organizations are moving to microservices and cloud native architectures at an increasing pace. The primary incentive for these transformation projects is typically to increase the agility and velocity of software release and product innovation. These dynamic systems, however, are far more complex to manage and monitor, and they generate far higher data volumes ...
It has become increasingly difficult for DevOps and SRE teams to minimize the impact of issues and ensure high-quality end-user experiences. In this blog, I'm going to propose a new approach to support real-time use cases — edge observability — that enables you to detect issues as they occur and resolve them in minutes ...
