Vendor Forum
The digital transformation bandwagon is a crowded one, with enterprises of all kinds heeding the call to modernize. The pace has only quickened in a post-pandemic age of enhanced digital collaboration and remote work. Nonetheless, 70% of digital transformation projects fall short of their goals, as organizations struggle to implement complex new technologies across the enterprise. Fortunately, businesses can leverage AI and automation to better manage the speed, scale and complexity of the changes that come with digital transformation ...
Based on a survey of automation-focused IT professionals worldwide, the 2022 Global State of IT Automation report offers a unique perspective on the convergence of automation with cloud, DataOps, DevOps, and hybrid IT topics. Read on ...
The future of work will be led by democratized IT, whereby employees work in a distributed, asynchronous manner, accessing the requisite tools wherever and whenever they need. Enabled by the democratization of IT, this work will be (1) self-organizing, (2) high velocity, and (3) digitally dexterous. Let's discuss each of these attributes in turn ...
The past couple years fostered an unprecedented expansion of digital transformation initiatives and projects across nearly every industry. In order to maintain "business as usual" during the world's transition to being fully remote or hybrid, companies had to implement new digital services, or update existing ones, to allow transactions to take place online versus in person. As a result, companies' digital strategies quickly grew in significance, playing a larger role in the ultimate success of the business ...
Years from now, the development community could look back and view this period as the beginning of a golden era, thanks in part to the embrace by business managers of site reliability engineering (SRE) ...
Looking ahead, businesses need to place more emphasis on providing employees with the tools they need to thrive and be more efficient while also giving them the opportunity to spend less time wading through mundane, repetitive tasks that can stifle productivity. This means refocusing transformation efforts on creating better employee experiences, making technology more human-centric, and leaning on low-code tools to usher in the next wave of innovation. And while it's no easy task, here are four areas to keep in mind to help guide those technology decisions ...
For businesses of every size and industry, customer experience should be of the highest priority. In today's "new normal," the majority of customer experiences are now happening digitally. This means everything from signing up for an account to checking out online needs to be perfected for a smooth, easy user experience. If potential customers are frustrated by your sign-up process, or things don't work as they'd expect, it's all too easy for them to turn to your competitors for similar offerings and easier user experiences ...
Communications Service Providers (CSPs) have reached a clear inflection point in their industry. Behind them are the days of providing commoditized network services, and ahead lies a future where they become strategic partners to their customers and help deploy a new generation of ground-breaking applications and services. One of the main drivers for this change is technology evolution ...
Modern IT and security organizations often need to manage petabytes of observability (logs, metrics, traces) data in real time. The adoption of cloud, modern application architectures, Kubernetes, and edge is behind this massive growth in observability data volumes. And for some organizations, log data volumes are approaching the exabyte range ...
As the Great Resignation continues and turnover rates climb, organizations across industries are struggling to keep top talent — especially in the developer, delivery, platform and security realms. Ongoing digital transformation efforts have put additional pressure on organizations to keep up with the accelerating pace of innovation; multi-cloud environments are becoming the new norm — bringing with them novel IT complexity concerns; and cybersecurity threats continue to proliferate across the enterprise ...
Enterprises wrestle with true observability because most observability data remains dark or unexploited. The scale, complexity, variety of data consumers, and runaway costs make it difficult for enterprises to get value from their machine data. There are other technical and organizational challenges, such as data and department silos, the complexity of managing data in cloud-native and hybrid cloud environments, and the inefficiency of single-pane-of-glass approaches to route data to appropriate destinations. Let's take a look at three of the most pervasive pain points, according to the survey, holding enterprises back from observability nirvana ...
We all love new, shiny objects. When a legacy system starts to fail, our eyes tend to widen as we evaluate all the fancy toys on the market. Absolutely everything in hardware and software is about novelty — yesterday's innovation is tomorrow's doorstop ...
While the pandemic forced enterprises to uproot their traditional network infrastructures to better accommodate masses of people working from home or alternate locations, they are coming to grips with a new reality including many issuing decrees that many employees may never return to the office ...
What are the cons or challenges of Flow and Packet data? While Flow data offers a high level of traffic visibility, it has little detail about what's actually flowing ...
Designing and maintaining a network that delivers uninterrupted performance is a crucial function of most NetOps teams. But with new technology challenges around cloud and software defined architectures, many struggle to optimize and troubleshoot the high-performance networks of today ...
Organizations require a modern storage foundation that can fully support cloud-native environments and emerging technologies, such as Kubernetes, serverless computing and microservices which are significant components of these environments. The following is an easy-to-follow checklist for building the ideal modern storage foundation ...
Site Reliability Engineering (SRE) practice was established by Google nearly 20 years ago and was popularized with Google's monumental SRE Book. Everyone's been attempting to follow that iconic path ever since ...
Still not convinced on the value an AIOps platform offers? Consider this: one minute of downtime at Amazon costs the company roughly $220,000 in revenue. With that kind of money on the line, SRE and DevOps teams forced to manage availability by writing rules and querying logs manually are set up to fail — and failure is costly. AIOps is the necessary lift your monitoring tools need to improve performance and cut out the toil for DevOps and IT teams. Here are five ways AIOps does exactly that ...
Digital acceleration took off during the pandemic, and companies are still prioritizing adapting to the digital-first world. However, even with an increase in investment, not all organizations are on the same page of this transition. In this blog, we'll examine the findings from the latest DigitalOcean Currents report and what it reveals about the ways companies are leveraging the cloud to adapt to the digital future ...
Logs produced by your IT infrastructure contain hidden gems — information about performance, user behavior, and other data waiting to be discovered. Unlocking the value of the array of log data aggregated by organizations every day can be a gateway to uncovering all manner of efficiencies. Yet, the challenge of analyzing and managing the mountains of log data organizations have is growing more complex by the day ...
