Cloud Monitoring Market Size Estimations

cloud monitoing, cybersecurity, monitoring, network observability, observability

According to a marketing study, the global IT infrastructure monitoring market is supposed to grow at 13.6% CAGR reaching USD $64.5 in 2031. Modern IT infrastructure becomes increasingly more complex and requires new skills from IT personnel, often blurring the borders between IT staff, DevOps, and development teams. With the continued move from on-prem deployments to the enterprise cloud, IT infrastructure goes to the cloud as well, and thus IT teams have to learn basic cloud-DevOps skills, such as scripting, cloud-based scaling, events creation, and monitoring. Furthermore, no company today offers a complete monitoring solution that can monitor any network device and software component.

Thus, IT teams have to build their monitoring solutions piece by piece, using various mostly not interconnected systems, developed by different, often competing vendors. For some organizations, it also comes to compliance, such as GDPR or ISO requirements, and to SLAs that obligate the IT department to timely detect, report, and fix any issue with their systems. In this challenging multi-system and multi-device environment, network observability becomes the key to enterprise success. IT organizations keep increasing their budgets seeking to reach the comprehensive cloud and on-prem monitoring for their systems and devices, and force the employees to run network and device monitoring software on their personal devices, such as mobile phones and laptops. This trend also increases the IT spend on cybersecurity solutions such as SDR and network security analysis with various SIEM tools.

Cloud Monitoring Market Size Estimations Read More »

Strategies to Combat Emerging Gaps in Cloud Security

cloud monitoing, cybersecurity, deep observability, network observability, startup

As cloud clients input 2023 with a hybrid presence in multiple clouds, they work on prioritizing techniques to fight rising gaps in cloud security.

Most big agencies are getting access to cloud offerings in numerous public clouds, whilst preserving organization structures and personal clouds of their company’s facts centers.

One of the ways of closing these gaps in security could be adopting deep observability. We have already reviewed a few Deep Observability providers such as Gigamon. While Gigamon probably can be considered a current market leader in this relatively new and small market with under $2B annual market size, they still should watch out for the newcomers who come with shiny new products and great technologies under the hood.

CtrlStack is one of these startups and they recently got a second round of funding from Lightspeed VC, led by Kearny Jackson and Webb Investment Network.

The delivery of features and applications by today’s digital-first companies and developers is accelerating. Teams from information technology operations and software development must collaborate closely to do this, forming a practice known as DevOps. When events occur, they may involve any number of digital environment systems, including operations, infrastructure, code, or any combination of modifications made to any of them.

The CtrlStack platform connects cause and effect to make troubleshooting easier and incident root cause analysis faster by tracking relationships between components in a customer’s systems. Developers and engineers can solve problems quickly by giving DevOps teams the tools they need.

By forming an understanding graph of all of the infrastructure, interconnected offerings, and impact, CtrlStack can supply the full picture while capturing the devices’ modifications and relationships throughout the whole device stack. Using CtrlStack product DevOps groups can view dependencies, measure the impact of modifications and examine occasions in actual time.

Key capabilities of the platform encompass an occasion timeline that permits groups to browse and clear out out extrade occasions, without having to sift via log documents or survey users, and a visual representation that offers insights into operational data. Both of those capabilities additionally force dashboards for builders and DevOps groups.

Developers can also access their dashboards that give visibility for any modifications to code commits, configuration documents, or function flags, – all in one click. DevOps groups get a dashboard for root reason evaluation that permits them to seize all of the context for the time being they came about with a searchable timeline of dependencies displaying the whole impacted topology and impacted metrics.

Strategies to Combat Emerging Gaps in Cloud Security Read More »

Deep Observability and Zero Trust

cloud monitoing, cybersecurity, deep observability, network observability

Zero trust architecture has established itself as a highly recognized method of safeguarding both on-premises systems and the cloud in response to the exponential rise in ransomware and other cyber threats. In example, although only 51% of EMEA IT and security professionals said they were confident implementing zero trust in 2019, that percentage increased noticeably to 83% in 2022.

The implicit trust that is placed in internal network traffic, people, or devices is eliminated by a zero trust architecture, to put it simply. Businesses can increase both productivity and security with this defense / defense in depth approach to security.

For businesses, implicit confidence in the technology stack can be a major problem. IT teams frequently struggle to put the right trust controls in place because they typically assume that the company owns the system, that all users are employees, or that the network was previously safe. These trust indicators, however, are insufficient. Organizations are becoming more exposed to risk as a result of trust built on assumptions. These careless measurements of trust can be utilized by threat actors against a company to facilitate network intrusion and data breaches.

A zero trust framework gets rid of any implicit trust and instead determines whether a company should grant access in each specific situation. It is more crucial now that bring-your-own-device (BYOD) initiatives have become so popular due to the rise of remote and hybrid working.

To increase the effectiveness of metric, event, log, and trace-based monitoring and observability tools and reduce risk, deep observability is the addition of real-time network-level intelligence. With it comes more insight to strengthen a company’s security posture since deep observability enables security professionals to examine the metadata that threat actors leave behind after evading endpoint detection and response systems or SIEMs. Therefore, it is essential to support a thorough zero trust strategy.

In the end, zero trust’s primary objective is to identify and categorize all network-connected devices, not only those that have endpoint agents installed and functioning, and to tightly enforce a least-privilege access policy based on a detailed analysis of the device. This cannot be done for devices or users that you can not access.

Deep Observability and Zero Trust Read More »

Growth in Deep Observability Services

cloud monitoing, cybersecurity, deep observability

Gigamon, a deep observability company has recently reported a 100% YoY increase in Deep Observability Pipeline ARR. Some market researches estimate the Deep Observability market size as $2B in 2026.  According to Gigamon, the company leads this market with 68% market share. Cybersecurity solutions should adequately protect the entire system while eliminating blind spots. This becomes particularly challenging in multi-cloud and hybrid environments. SOC teams need historical data and insights into attackers’ strategies, and most of all they need time to properly prepare and respond. With customers like US Department of Defense and Lockheed Martin, Gigamon looks well-packed to deliver high-quality Deep Observability network solutions and AI-based threat detection to the US and international markets.

Growth in Deep Observability Services Read More »

Metrist raises $5.5M for eBPF-based cloud monitoring

cloud monitoing, investment, monitoring, network observability, startup

Metrist, a startup with DevOps roots, raises $5.5M to help companies to deal with cloud services outages. Metrist was founded by two DevOps veterans, Jeff Martens and Ryan Duffield, whose past experience includes working for New Relic, PagerDuty and similar observability and monitoring companies.

Metrist Founders
Metrist Founders, Image Credit: Metrist

Metrist’s idea is not very original: negotiate outages that vendors’ SLAs do not cover. Surprisingly, there are not too many competitors in this area. Some competition for Metrist’s business comes from Parametric Insurance, which sells insurance policies that include cloud and CDN outages.

In contrast to selling insurance, Metrist is willing to play the role of the trusted arbiter in negotiating outage outcomes with vendors and the affected company.

One of the interesting parts of this story is that according to TechCrunch report Metrist team plans to run an eBPF agent to gather data services a customer runs. There are a few issues associated with this technical approach:

  1. Metrist is going to miss all container deployments, e.g. ECS at AWS or any K8s+dockers infrastructure. It is quite a big part of cloud infrastructure that Metrist won’t be able to observe with eBPF-based agents.
  2. On top of that, eBPF can not see into Serverless deployments, e.g. AWS Lambda-s. This further reduces the world of apps that Metrist can monitor.
  3. And there is a third factor that limits Metrist scale-up: most enterprises become very suspicious once they are asked to run yet another agent on their cloud VM or a barrel metal machine. While companies like PageDuty or New Relic have already overcome this psychological barrier by being on the market for long enough, it still could be a showstopper for a young startup that needs to prove itself to its customers.

Having said this, we wish the Metrist’s team all the success.

Metrist raises $5.5M for eBPF-based cloud monitoring Read More »

Yet Another Investment in a Cloud Network Monitoring and Cyberdefense Startup

cloud monitoing, cybersecurity, investment, network observability, startup

SynSaber has recently announced a $13 million series A investment. SynSaber is an early-stage cybersecurity and network monitoring company that develops OT visibility and detection solutions for machine learning cloud monitoring and network observability. SynSaber develops vendor-agnostic software for critical cloud and edge infrastructure that allows sending OT data to empower SIEM, SOAR, or MSSP. Cloud edge assets are often targeted by cybercriminals and SynSaber provides a new line of defense and a solution for intelligent cloud monitoring on the edge.

The latest round brings total investment in the startup to $15.5 million. SynSaber is well positioned on the industrial asset and cloud edge and network monitoring market. The company expands its global footprint and gains market momentum.

SynSyber’s  H1-2022 report shows the efficiency of the startup’s solution, which uncovers that 13% of CVEs reported in 2022 have no patch or fix currently available from the vendor, while 34% of CVEs could only be patched after a firmware update. Furthermore, 23% of CVEs require local or physical access to the system. These numbers demonstrate the growing need for sophisticated fully automated machine learning cloud monitoring solutions for edge computing, hybrid and private clouds. Intelligent computing edge and cloud monitoring help timely detect infrastructure issues, including security flaws and misconfiguration issues, and fix them before they are exploited by cybercriminals.

Yet Another Investment in a Cloud Network Monitoring and Cyberdefense Startup Read More »

Cloud Monitoring Market Size Worth $8.13 Billion By 2030

cloud monitoing, network observability

Polaris Market Research has recently published a new massive study predicting the future growth of cloud monitoring market size. According to the research firm, the machine learning cloud monitoring and automated network observability solutions market will be worth $8.13 billion by 2030. The same firm estimated the cloud viewability and ML-based monitoring market size at $1.48 billion in 2021,  predicting the future growth of 22.5% CAGR.

Among prominent players in automated cloud monitoring, the report mentions Alibaba Group, Amazon, Google, IBM, Microsoft, Oracle, and some others. The study includes an overview of the cloud monitoring competitive landscape including company financials, revenue, potential, and product features. Polaris Research also discusses emerging technology trends in machine learning and artificial intelligence when deployed to cloud monitoring, opportunities, and gaps in the cloud observability and multi-cloud infrastructure visibility market.

Cloud Monitoring Market Size Worth $8.13 Billion By 2030 Read More »

Cloud Monitoring Market Size Increased Twice

cloud monitoing

Market research company Orbis Research reports that the Cloud Monitoring market went from $485 million in 2015 to $820 million in 2020, increasing nearly twice in just 5 years. The study lists some of the cloud monitoring market leaders like CA Technologies, Solarwinds, Dynatrace and Idera, and also shows the effect of COVID-2019 on machine learning and automatic cloud infrastructure monitoring markets.

Other cloud monitoring market leaders include companies like Sevone, Cloudyn, Zenoss, Datadog, Kaseya, Logicmonitor, Opsview. Most of the vendors offer automated cloud monitoring solutions based on artificial intelligence and machine learning to provide visibility into complicated cloud infrastructures and deliver full platform observability for their cloud customers. The report researches important regions including North and South America, Europe, and Asia Pacific.

The report covers various industry segments involved in cloud computing: banking, financial services, and insurance companies; healthcare and life sciences; telecommunications; government and defense; manufacturing. For the global market, Orbis Research predicts further growth of machine learning cloud monitoring, predicting $1,980 million (nearly $2 billion!) global market size in 2025.

Cloud Monitoring Market Size Increased Twice Read More »

Towards $3.9 Billion Cloud Monitoring Market

cloud monitoing

According to MarketsandMarkets report Cloud Monitoring and Cloud Performance market will grow from $1.5B in 2022 to $3.9B by 2027 at 17.6% CAGR. The marketing firm expects large enterprises to lead this market, driven by the further need for better cloud security and performance.

Cyber attacks on cloud infrastructure accounted 20% in 2020. Cloud Monitoring as a Service is gaining popularity for large businesses interested in a fully managed cloud monitoring solution. Third-party providers offer such CMaaS services capable of 24x7x365 automatic monitoring and instant alerts.

Such a service is crucial for the banking and Financial services sector because these organizations deal with critical financial data and are heavily regulated. To stay competitive, financial organizations must automate their cloud operations and make them more efficient. Most financial institutions consider hybrid and multi-cloud deployments. With moving more data and services to the cloud their demand for CMaaS is higher than ever.

The demand for Cloud Performance and Automated Cloud Monitoring differs by region, and the Asia Pacific is projected to have the highest demand for these services. While some countries, like Japan have already established a solid cloud infrastructure, some others are only taking the initial steps in this direction. The highest CAGR is expected in this region due to the forecasted migration of complex workloads, particularly based on automation and machine learning technologies. With artificial intelligence and machine learning pipelines in their cloud infrastructure, large enterprises and financial organizations significantly increase the complexity of their cloud solutions, which turns into high demand for automatic monitoring and performance solutions for cloud management.

According to the report, leading Cloud Performance Management Market players include Microsoft, IBM, HPE, Oracle and others.

Towards $3.9 Billion Cloud Monitoring Market Read More »

Digital Experience Journal: Top 20 Vendors for Managing IT Performance in 2022

monitoring, observability

Digital Enterprise Journal’s recently published analysis of IT performance markets, 24 Key Areas Shaping IT Performance Markets in 2022. Designed to help end-user organizations understand what solution is the best fit for their specific needs, it provides an in-depth analysis of which vendors, including Catchpoint, align with key user requirements for managing IT performance in relation to this year’s key trends.

Catchpoint is proud of customers like Equinix, SAP and Cox Automotive, who tell their success stores with the company’s products:

Kelsey Waters, Senior Director of Cloud Operations, Equinix:

Catchpoint gives Equinix a more complete picture of internet visibility into what’s going on in the network, and that helps the company solve problems more quickly and communicate problems with clarity for customers. With Catchpoint, Equinix is able to identify and diagnose issues in a matter of minutes and begin to correct them before they become larger problems for end users.

Equinix is a leader in the digital infrastructure space, providing a platform that guarantees flexibility, scalability, and security. Top-tier enterprises, software as a service (SaaS), and cloud providers rely on Equinix to deliver services and expect no compromise when it comes to digital performance.

Equinix is a neutral co-location and data center provider. “The fundamental idea of Equinix was to create a place where competitive networks could come together and share data in a secure way,” explains Kelsey Waters of Cloud Operations. Equinix includes its subset, Equinix Metal. Equinix Metal provides bare metal services in a consumption-based model, similar to public clouds but in a bare metal fashion (Catchpoint is itself a customer).

Digital performance is crucial to Equinix, as they help customers scale businesses with agility and ease, without worrying about critical infrastructure. With more than 220 data centers in over 26 locations worldwide, Equinix strives to maintain 99.9% uptime. Equinix partnered with Catchpoint to:

  • Ensure service reliability.
  • Offer customers insights into observability and performance trends.
  • Maintain consistent availability and reachability.
  • Provide a full picture of the internet.

‍

To ensure customers provide the best end-user experience, Equinix services must consistently run at peak levels. That’s why they invested in Catchpoint’s end user observability solution to stay ahead of any network-impacting incident

Digital Experience Journal: Top 20 Vendors for Managing IT Performance in 2022 Read More »