Vendor Forum
With an accelerated push toward digital transformation, organizations everywhere are trying to find ways to work smarter, not harder. A key component of this new model is finding ways to automate business processes — freeing up employees to focus on more strategic, valuable work and improving customers' experiences. Today's enterprise IT leaders have many options to help drive automation initiatives — from digital process automation and artificial intelligence (AI) to enterprise content management and robotic process automation (RPA) ...
Everyone laments technical debt like it were a high-interest credit card. But just like how your CFO uses debt as capital for the business, the intelligent Product Manager knows that technical debt can help finance your path to market if you know how to manage it well ...
The buzz around automation continues to grow, in every industry, sector and vertical — and for good reason. In IT Ops, the impact can be instant and huge, with improvement measured in the tens or even hundreds of percent as automation enables even a very lean team to operate at an outsized level. Automation can facilitate faster production, the creation of new products and the delivery of more services — and all in a stable, predictable, scalable way. And today, with AI and Machine Learning in the mix (aka AIOps), the possibilities and potential for automation are almost limitless. So, how do you ensure your journey to automated IT Ops is streamlined and effective, and not just a buzzword? ...
How do you ensure your journey to automated IT Ops is streamlined and effective, and not just a buzzword? ...
Distributed tracing has been growing in popularity as a primary tool for investigating performance issues in microservices systems. Our recent DevOps Pulse survey shows a 38% increase year-over-year in organizations' tracing use. Furthermore, 64% of those respondents who are not yet using tracing indicated plans to adopt it in the next two years ...
What may have appeared to be a stopgap solution in the spring of 2020 is now clearly our new workplace reality: It's impossible to walk back so many of the developments in workflow we've seen since then. The question is no longer when we'll all get back to the office, but how the companies that are lagging in their technological ability to facilitate remote work can catch up ...
The pandemic accelerated organizations' journey to the cloud to enable agile, on-demand, flexible access to resources, helping them align with a digital business's dynamic needs. We heard from many of our customers at the start of lockdown last year, saying they had to shift to a remote work environment, seemingly overnight, and this effort was heavily cloud-reliant. However, blindly forging ahead can backfire ...
Is your company trying to use artificial intelligence (AI) for business purposes like sales and marketing, finance or customer experience? If not, why not? If so, has it struggled to start AI projects and get them to work effectively? ...
As remote work persists, and organizations take advantage of hire-from-anywhere models — in addition to facing other challenges like extreme weather events — companies across industries are continuing to re-evaluate the effectiveness of their tech stack. Today's increasingly distributed workforce has put a much greater emphasis on network availability across more endpoints as well as increased the bandwidth required for voice and video. For many, this has posed the question of whether to switch to a new network monitoring system ...
When a website or app fails or falters, the standard operating procedure is to assemble a sizable team to quickly "divide and conquer" to find a solution. The details of the problem can usually be found somewhere among millions of log events and metrics, leading to slow and painstaking searches that can take hours and often involve handoffs between experts in different areas of the software. The immediate goal in these situations is not to be comprehensive, but rather to troubleshoot until you find a solution that remedies the symptom, even if the underlying root cause is not addressed ...
Evaluating which products and vendors can meet today's modern and complex IT business requirements is a challenge. To help, I'd like to explore 10 key questions every IT admin should be asking when evaluating or working with network performance tools ...
During the 18 months of COVID, Aternity tracked the pandemic's impact on the workplace, office reopening plans remained murky, but what is clear is the permanent way in which various industries have changed. In healthcare, telehealth is here to stay. In retail, online commerce and curbside delivery are permanently shifting where back-office work gets done. These business model adjustments have a lasting effect on corporate technology investments ...
The Internet played a greater role than ever in supporting enterprise productivity over the past year-plus, as newly remote workers logged onto the job via residential links that, it turns out, left much to be desired in terms of enabling work ...
The world's appetite for cloud services has increased but now, more than 18 months since the beginning of the pandemic, organizations are assessing their cloud spend and trying to better understand the IT investments that were made under pressure. This is a huge challenge in and of itself, with the added complexity of embracing hybrid work ...
One of the key performance indicators for IT Ops is MTTR (Mean-Time-To-Resolution). MTTR essentially measures the length of your incident management lifecycle: from detection; through assignment, triage and investigation; to remediation and resolution. IT Ops teams strive to shorten their incident management lifecycle and lower their MTTR, to meet their SLAs and maintain healthy infrastructures and services. But that's often easier said than done, with incident triage being a key factor in that challenge ...
Let's explore a few of the most prominent app success indicators and how app engineers can shift their development strategy to better meet the needs of today's app users ...
DevOps, SRE and other operations teams use observability solutions with AIOps to ingest and normalize data to get visibility into tech stacks from a centralized system, reduce noise and understand the data's context for quicker mean time to recovery (MTTR). With AI using these processes to produce actionable insights, teams are free to spend more time innovating and providing superior service assurance. Let's explore AI's role in ingestion and normalization, and then dive into correlation and deduplication too ...
One thing is certain: The hybrid workplace, a term we helped define in early 2020, with its human-centric work design, is the future. However, this new hybrid work flexibility does not come without its costs. According to Microsoft ... weekly meeting times for MS Teams users increased 148%, between February 2020 and February 2021 they saw a 40 billion increase in the number of emails, weekly per person team chats is up 45% (and climbing), and people working on Office Docs increased by 66%. This speaks to the need to further optimize remote interactions to avoid burnout ...
Here's how it happens: You're deploying a new technology, thinking everything's going smoothly, when the alerts start coming in. Your rollout has hit a snag. Whole groups of users are complaining about poor performance on their devices. Some can't access applications at all. You've now blown your service-level agreement (SLA). You might have just introduced a new security vulnerability. In the worst case, your big expensive product launch has missed the mark altogether. "How did this happen?" you're asking yourself. "Didn't we test everything before we deployed?" ...
The Fastly outage in June 2021 showed how one inconspicuous coding error can cause worldwide chaos. A single Fastly customer making a legitimate configuration change, triggered a hidden bug that sent half of the internet offline, including web giants like Amazon and Reddit. Ultimately, this incident illustrates why organizations must test their software in production ...
